Mining query logs: turning search usage data into knowledge
Abstract
Web search engines have stored in their logs information about users since they started to operate. This information often serves many purposes. The primary focus of this survey is on introducing to the discipline of query mining by showing its foundations and by analyzing the basic algorithms and techniques that are used to extract useful knowledge from this (potentially) infinite source of information. We show how search applications may benefit from this kind of analysis by analyzing popular applications of query log mining and their influence on user experience. We conclude the paper by, briefly, presenting some of the most challenging current open problems in this field.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Web search behavior varies across semantic domains.
“Studying web search behavior, Silvestri (2010) found that it varies across semantic domains, and Aula et al. (2010) that it changes as the task at hand becomes more difficult.”
From Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019) · cites this paper as Silvestri, 2010
External factors may impact quality dimensions of social datasets including coverage and representativeness, and affect reliability of observations.
“external factors may impact various quality dimensions of social datasets, including coverage and representativeness, yet they can also be subtle and easy to overlook, and affect the reliability of observations drawn from these datasets”
From Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019) · cites this paper as Silvestri, 2010
Cites
On Information and Sufficiency
Kullback, S., & Leibler, R. A. (1951) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177729694 · Cited by 20,193 · see citing works
Adhi Harmoko, S., M.Komp, Jacquard, J. M., Zuse, K., & Eniac (2005) · Cited by 18,035 · see citing works
The anatomy of a large-scale hypertextual Web search engine
Brin, S., & Page, L. (1998) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(98)00110-x · Cited by 16,004 · see citing works
Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. (1994) · Cited by 15,411 · see citing works
Mining association rules between sets of items in large databases
Agrawal, R., Imieliński, T., & Swami, A. (1993) · Proceedings of the 1993 ACM SIGMOD international conference on Management of data · doi:10.1145/170035.170072 · Cited by 14,907 · see citing works
Bellman, R. E. (2010) · doi:10.1515/9781400835386 · Cited by 14,588 · see citing works
Jain, A. K., Murty, M. N., & Flynn, P. J. (1999) · ACM Computing Surveys · doi:10.1145/331499.331504 · Cited by 13,532 · see citing works
(1999) · Cited by 12,854 · see citing works
Baeza-Yates, R. A., & Ribeiro-Neto, B. A. (1999) · Cited by 11,498 · see citing works
Foundations of statistical natural language processing
Manning, C. D., & Schütze, H. (1999) · Cited by 9,816 · see citing works
Introduction to Modern Information Retrieval
Salton, G., & McGill, M. J. (1983) · Virtual Defense Library (Ministerio de Defensa) · Cited by 9,743 · see citing works
Computer Architecture: A Quantitative Approach
Hennessy, J. L., & Patterson, D. A. (1989) · UCLA - Biblioteca de Ciencias y Tecnologia Felix Morales Bueno · Cited by 9,434 · see citing works
Authoritative sources in a hyperlinked environment
Kleinberg, J. M. (1999) · Journal of the ACM · doi:10.1145/324133.324140 · Cited by 9,032 · see citing works
Machine learning in automated text categorization
Sebastiani, F. (2002) · ACM Computing Surveys · doi:10.1145/505282.505283 · Cited by 7,927 · see citing works
The Grid 2: Blueprint for a New Computing Infrastructure
Foster, I. T., & Kesselman, C. (1998) · Cited by 7,599 · see citing works
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
Foster, I. T., Kesselman, C., & Tuecke, S. (2001) · The International Journal of High Performance Computing Applications · doi:10.1177/109434200101500302 · Cited by 6,577 · see citing works
Kendall, M. G. (1957) · Biometrika · doi:10.2307/2333282 · Cited by 6,444 · see citing works
Empirical Analysis of Predictive Algorithms for Collaborative FilteringPreprint
Breese, J. S., Heckerman, D. E., & Kadie, C. M. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1301.7363 · Cited by 4,768 · see citing works
Data mining and knowledge discovery: making sense out of data
Feyyad, U. M. (1996) · IEEE Expert · doi:10.1109/64.539013 · Cited by 4,644 · see citing works
Optimizing search engines using clickthrough data
Joachims, T. (2002) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/775047.775067 · Cited by 3,921 · see citing works
Learning to rank using gradient descent
Burges, C., Shaked, T., Renshaw, E., Lazier, A., Deeds, M., Hamilton, N., & Hullender, G. (2005) · Proceedings of the 22nd international conference on Machine learning - ICML '05 · doi:10.1145/1102351.1102363 · Cited by 2,836 · see citing works
Relevance feedback in information retrieval
Rocchio, J. J. (1971) · Medical Entomology and Zoology · Cited by 2,680 · see citing works
Chao, Y. R. (1950) · Language · doi:10.2307/409735 · Cited by 2,210 · see citing works
Amortized efficiency of list update and paging rules
Sleator, D. D., & Tarjan, R. E. (1985) · Communications of the ACM · doi:10.1145/2786.2793 · Cited by 2,123 · see citing works
Srivastava, J., Cooley, R., Deshpande, M., & Tan, P. (2000) · ACM SIGKDD Explorations Newsletter · doi:10.1145/846183.846188 · Cited by 2,106 · see citing works
A Study of Replacement Algorithms for Virtual-Storage Computer
Belady, L. (1966) · IBM Systems Journal · doi:10.1147/sj.52.0078 · Cited by 1,947 · see citing works
Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
Robertson, S., & Walker, S. (1994) · Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · doi:10.1007/978-1-4471-2099-5_24 · Cited by 1,947 · see citing works
Broder, A. (2002) · ACM SIGIR Forum · doi:10.1145/792550.792552 · Cited by 1,944 · see citing works
Smith, A. J. (1982) · ACM Computing Surveys · doi:10.1145/356887.356892 · Cited by 1,722 · see citing works
A technique for computer detection and correction of spelling errors
Damerau, F. J. (1964) · Communications of the ACM · doi:10.1145/363958.363994 · Cited by 1,598 · see citing works
Learning to Rank for Information Retrieval
Liu, T. (2009) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000016 · Cited by 1,575 · see citing works
Haveliwala, T. H. (2002) · Proceedings of the 11th international conference on World Wide Web · doi:10.1145/511446.511513 · Cited by 1,567 · see citing works
Accurately interpreting clickthrough data as implicit feedback
Joachims, T., Granka, L., Pan, B., Hembrooke, H., & Gay, G. (2005) · Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/1076034.1076063 · Cited by 1,408 · see citing works
Human Behavior and the Principle of Least Effort: An Introduction to Human Ecology.
Hollingshead, A. B., & Zipf, G. K. (1949) · American Sociological Review · doi:10.2307/2086695 · Cited by 1,367 · see citing works
Syntactic clustering of the Web
Broder, A., Glassman, S. C., Manasse, M. S., & Zweig, G. (1997) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(97)00031-7 · Cited by 1,348 · see citing works
Boldi, P., & Vigna, S. (2004) · International World Wide Web Conference (WWW) · doi:10.1145/988672.988752 · Cited by 1,216 · see citing works
Bursty and hierarchical structure in streams
Kleinberg, J. M. (2002) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/775047.775061 · Cited by 1,162 · see citing works
Analysis of a very large web search engine query log
Silverstein, C. D., Marais, H., Henzinger, M. R., & Moricz, M. (1999) · ACM SIGIR Forum · doi:10.1145/331403.331405 · Cited by 1,153 · see citing works
Inverted files for text search engines
Zobel, J., & Moffat, A. (2006) · ACM Computing Surveys · doi:10.1145/1132956.1132959 · Cited by 1,084 · see citing works
Improving web search ranking by incorporating user behavior information
Agichtein, E., Brill, E., & Dumais, S. (2006) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1148170.1148177 · Cited by 1,043 · see citing works
Web search for a planet: the google cluster architecture
Barroso, L. A., Dean, J., & Hölzle, U. (2003) · IEEE Micro · doi:10.1109/mm.2003.1196112 · Cited by 1,029 · see citing works
Information-theoretic co-clustering
Dhillon, I. S., Mallela, S., & Modha, D. S. (2003) · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/956750.956764 · Cited by 1,019 · see citing works
A probabilistic model of information retrieval: development and comparative experiments
Jones, K. S., Walker, S., & Robertson, S. E. (2000) · Information Processing & Management · doi:10.1016/s0306-4573(00)00015-7 · Cited by 948 · see citing works
An experimental comparison of click position-bias models
Craswell, N., Zoeter, O. R., Taylor, M. J. H., & Ramsey, B. (2008) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/1341531.1341545 · Cited by 947 · see citing works
Personalizing search via automated analysis of interests and activities
Teevan, J. B., Dumais, S., & Horvitz, E. (2005) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1076034.1076111 · Cited by 803 · see citing works
How are we searching the World Wide Web? A comparison of nine search engine transaction logs
Jansen, B. J., & Spink, A. (2006) · Information Processing & Management · doi:10.1016/j.ipm.2004.10.007 · Cited by 801 · see citing works
A survey of Web cache replacement strategies
Podlipnig, S., & Böszörményi, L. (2003) · ACM Computing Surveys · doi:10.1145/954339.954341 · Cited by 764 · see citing works
(2006) · doi:10.7551/mitpress/7503.003.0029 · Cited by 753 · see citing works
A support vector method for optimizing average precision
Yue, Y., Finley, T., Radlinski, F., & Joachims, T. (2007) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1277741.1277790 · Cited by 709 · see citing works
Eye-tracking analysis of user behavior in WWW search
Granka, L. A., Joachims, T., & Gay, G. K. (2004) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1008992.1009079 · Cited by 701 · see citing works
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search
Joachims, T., Granka, L. A., Pan, B., Hembrooke, H. A., Radlinski, F., & Gay, G. K. (2007) · ACM Transactions on Information Systems · doi:10.1145/1229179.1229181 · Cited by 678 · see citing works
Chakrabarti, D., Kumar, R., & Tomkins, A. (2006) · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1150402.1150467 · Cited by 667 · see citing works
Pass, G., Chowdhury, A., & Torgeson, C. (2006) · doi:10.1145/1146847.1146848 · Cited by 666 · see citing works
Real life information retrieval: a study of user queries on the Web
Jansen, B. J. J., Spink, A. H., Bateman, J., & Saračević, T. (1998) · ACM SIGIR Forum · doi:10.1145/281250.281253 · Cited by 625 · see citing works
Generating query substitutions
Jones, R., Rey, B., Madani, O., & Greiner, W. (2006) · International World Wide Web Conference (WWW) · doi:10.1145/1135777.1135835 · Cited by 622 · see citing works
Searching Distributed Collections With Inference Networks
Callan, J. P., Lu, Z., & Croft, W. B. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130363 · Cited by 608 · see citing works
Overview of multidatabase transaction management
Breitbart, Y. J., García-Molina, H., & Silberschatz, A. (1992) · The VLDB Journal · doi:10.1007/bf01231700 · Cited by 565 · see citing works
Query Recommendation Using Query Logs in Search Engines
Baeza-Yates, R. A., Hurtado, C., & Mendoza, M. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30192-9_58 · Cited by 541 · see citing works
Improving the effectiveness of information retrieval with local context analysis
Xu, J., & Croft, W. B. (2000) · ACM Transactions on Information Systems · doi:10.1145/333135.333138 · Cited by 533 · see citing works
A large-scale evaluation and analysis of personalized search strategies
Dou, Z., Song, R., & Wen, J.-R. (2007) · International World Wide Web Conference (WWW) · doi:10.1145/1242572.1242651 · Cited by 533 · see citing works
Arasu, A., Cho, J. J., García-Molina, H., Paepcke, A., & Raghavan, S. (2001) · ACM Transactions on Internet Technology · doi:10.1145/383034.383035 · Cited by 504 · see citing works
Radlinski, F., & Joachims, T. (2005) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1081870.1081899 · Cited by 476 · see citing works
From e-sex to e-commerce: Web search changes
Spink, A. H., Jansen, B. J. J., Wolfram, D., & Saračević, T. (2002) · Computer · doi:10.1109/2.989940 · Cited by 470 · see citing works
Learning user interaction models for predicting web search result preferences
Agichtein, E., Brill, E., Dumais, S., & Ragno, R. J. (2006) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1148170.1148175 · Cited by 464 · see citing works
What are you looking for?: an eye-tracking study of information usage in web search
Cutrell, E., & Guan, Z. (2007) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1240624.1240690 · Cited by 460 · see citing works
Probabilistic query expansion using query logs
Cui, H., Wen, J.-R., Nie, J., & Ma, W. (2002) · International World Wide Web Conference (WWW) · doi:10.1145/511446.511489 · Cited by 428 · see citing works
An example-based mapping method for text categorization and retrieval
Yang, Y., & Chute, C. G. (1994) · ACM Transactions on Information Systems · doi:10.1145/183422.183424 · Cited by 405 · see citing works
Automatic identification of user interest for personalized search
Qiu, F., & Cho, J. J. (2006) · International World Wide Web Conference (WWW) · doi:10.1145/1135777.1135883 · Cited by 399 · see citing works
Automatic identification of user goals in Web search
Lee, U., Liu, Z., & Cho, J. J. (2005) · International World Wide Web Conference (WWW) · doi:10.1145/1060745.1060804 · Cited by 399 · see citing works
Data cache management using frequency-based replacement
Robinson, J. T., & Devarakonda, M. V. (1990) · ACM SIGMETRICS Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) · doi:10.1145/98457.98523 · Cited by 394 · see citing works
Personalized Search Based on User Search Histories
Speretta, M., & Gauch, S. (2005) · IEEE/WIC/ACM International Conference on Web Intelligence · doi:10.1109/wi.2005.114 · Cited by 386 · see citing works
Information Retrieval using a Singular Value Decomposition Model of Latent Semantic Structure
Furnas, G. W., Deerwester, S. C., Durnais, S. T., Landauer, T. K., Harshman, R. A., Streeter, L. A., & Lochbaum, K. E. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130358 · Cited by 384 · see citing works
Olston, C., & Najork, M. (2010) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000017 · Cited by 372 · see citing works
Query-based sampling of text databases
Callan, J., & Connell, M. E. (2001) · ACM Transactions on Information Systems · doi:10.1145/382979.383040 · Cited by 369 · see citing works
Hsieh‐Yee, I. (1993) · Journal of the American Society for Information Science · doi:10.1002/(sici)1097-4571(199304)44:3 · Cited by 338 · see citing works
Pitkow, J. E., Schütze, H., Cass, T. A., Cooley, R., Turnbull, D., Edmonds, A., Adar, E., & Breuel, T. M. (2002) · Communications of the ACM · doi:10.1145/567498.567526 · Cited by 335 · see citing works
Methods for identifying versioned and plagiarized documents
Hoad, T. C., & Zobel, J. (2003) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.10170 · Cited by 330 · see citing works
Extracting semantic relations from query logs
Baeza-Yates, R. A., & Tiberi, A. (2007) · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1281192.1281204 · Cited by 316 · see citing works
Robertson, S. E., & Walker, S. (1999) · Cited by 314 · see citing works
Challenges in web search engines
Henzinger, M. R., Motwani, R., & Silverstein, C. D. (2002) · ACM SIGIR Forum · doi:10.1145/792550.792553 · Cited by 308 · see citing works
Query evaluation: Strategies and optimizations
Turtle, H. R., & Flood, J. (1995) · Information Processing & Management · doi:10.1016/0306-4573(95)00020-h · Cited by 306 · see citing works
Hourly analysis of a very large topically categorized web query log
Beitzel, S. M., Jensen, E. C., Chowdhury, A., Grossman, D. A., & Frieder, O. (2004) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1008992.1009048 · Cited by 304 · see citing works
Cluster-based language models for distributed retrieval
Xu, J., & Croft, W. B. (1999) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/312624.312687 · Cited by 294 · see citing works
Caching strategies to improve disk system performance
Karedla, R., Love, J. S., & Wherry, B. G. (1994) · Computer · doi:10.1109/2.268884 · Cited by 294 · see citing works
Teevan, J. B., Adar, E., Jones, R., & Potts, M. A. S. (2007) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1277741.1277770 · Cited by 293 · see citing works
Gravano, L., García-Molina, H., & Tomasic, A. (1999) · ACM Transactions on Database Systems · doi:10.1145/320248.320252 · Cited by 293 · see citing works
Personalized query expansion for the web
Chirita, P. A., Firan, C. S., & Nejdl, W. (2007) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1277741.1277746 · Cited by 290 · see citing works
Identifying similarities, periodicities and bursts for online search queries
Vlachos, M., Meek, C., Vagena, Z., & Gunopulos, D. (2004) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/1007568.1007586 · Cited by 276 · see citing works
Patterns of Search: Analyzing and Modeling Web Query Refinement
Lau, T. A., & Horvitz, E. (1999) · Courses and lectures · doi:10.1007/978-3-7091-2490-1_12 · Cited by 254 · see citing works
Relevant document distribution estimation method for resource selection
Si, L., & Callan, J. (2003) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/860435.860490 · Cited by 253 · see citing works
Collection statistics for fast duplicate document detection
Chowdhury, A., Frieder, O., Grossman, D. A., & McCabe, M. C. (2002) · ACM Transactions on Information Systems · doi:10.1145/506309.506311 · Cited by 251 · see citing works
GENVL and WWWW: Tools for taming the Web
McBryan, O. A. (1994) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(94)90149-x · Cited by 243 · see citing works
An eye tracking study of the effect of target rank on web search
Guan, Z., & Cutrell, E. B. (2007) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1240624.1240691 · Cited by 243 · see citing works
Personalized web search by mapping user queries to categories
Liu, F., Yu, C. T., & Meng, W. (2002) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/584792.584884 · Cited by 237 · see citing works
Design rationale: Concepts, techniques, and use
Dillon, A. P. (1997) · Journal of the American Society for Information Science · doi:10.1002/(sici)1097-4571(199708)48:8 · Cited by 227 · see citing works
KeyWords Plus™—algorithmic derivative indexing
Garfield, E., & Sher, I. H. (1993) · Journal of the American Society for Information Science · doi:10.1002/(sici)1097-4571(199306)44:5 · Cited by 225 · see citing works
The impact of caching on search engines
Baeza-Yates, R. A., Gionis, A., Junqueira, F., Murdock, V., Plachouras, V., & Silvestri, F. (2007) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1277741.1277775 · Cited by 212 · see citing works
Self-citationMining search engine query logs for query recommendation
Zhang, Z., & Nasraoui, O. (2006) · International World Wide Web Conference (WWW) · doi:10.1145/1135777.1136004 · Cited by 211 · see citing works
Discorsi e dimostrazioni matematiche intorno a due nuove scienze (1638)
Galilei, G., Carugo, A., & Geymonat, L. (1958) · Cited by 210 · see citing works
A personalized search engine based on web-snippet hierarchical clustering
Ferragina, P., & Gullì, A. (2005) · International World Wide Web Conference (WWW) · doi:10.1145/1062745.1062760 · Cited by 210 · see citing works
Weiss, R. J., Vélez, B., & Sheldon, M. A. (1996) · doi:10.1145/234828.234846 · Cited by 209 · see citing works
Spelling Correction as an Iterative Process that Exploits the Collective Knowledge of Web Users.
Cucerzan, S., & Brill, E. (2004) · Cited by 207 · see citing works
A regression framework for learning ranking functions using relative relevance judgments
Zheng, Z., Chen, K., Sun, G., & Hongyuan Zha, B. (2007) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1277741.1277792 · Cited by 205 · see citing works
Boosting the performance of Web search engines
Fagni, T., Perego, R., Silvestri, F., & Orlando, S. (2006) · ACM Transactions on Information Systems · doi:10.1145/1125857.1125859 · Cited by 202 · see citing works
Self-citationStudying the use of popular destinations to enhance web search interaction
White, R. W., Bilenko, M., & Cucerzan, S. (2007) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1277741.1277771 · Cited by 198 · see citing works
On caching search engine query results
Markatos, E. P. (2001) · Computer Communications · doi:10.1016/s0140-3664(00)00308-x · Cited by 195 · see citing works
The quest for correct information on the Web: hyper search engines
Marchiori, M. (1997) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(97)00036-6 · Cited by 191 · see citing works
Learn from web search logs to organize search results
Wang, X., & Zhai, C. (2007) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1277741.1277759 · Cited by 184 · see citing works
A decision-theoretic approach to database selection in networked IR
Fuhr, N. (1999) · ACM Transactions on Information Systems · doi:10.1145/314516.314517 · Cited by 181 · see citing works
Robust classification of rare queries using web knowledge
Broder, A., da Fontoura, M. F. M. C., Gabrilovich, E., Joshi, A., Josifovski, V., & Zhang, T. (2007) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1277741.1277783 · Cited by 180 · see citing works
"I know what you did last summer"
Jones, R., Kumar, R., Pang, B., & Tomkins, A. (2007) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/1321440.1321573 · Cited by 178 · see citing works
An analysis of Web searching by European AlltheWeb.com users
Jansen, B. J. J., & Spink, A. H. (2003) · Information Processing & Management · doi:10.1016/s0306-4573(03)00067-0 · Cited by 177 · see citing works
The effectiveness of GIOSS for the text database discovery problem
Gravano, L., García-Molina, H., & Tomasic, A. (1994) · Proceedings - ACM-SIGMOD International Conference on Management of Data · doi:10.1145/191839.191869 · Cited by 176 · see citing works
Search Engines that Learn from Implicit Feedback
Joachims, T., & Radlinski, F. (2007) · Computer · doi:10.1109/mc.2007.289 · Cited by 176 · see citing works
Predictive caching and prefetching of query results in search engines
Lempel, R., & Moran, S. (2003) · International World Wide Web Conference (WWW) · doi:10.1145/775152.775156 · Cited by 175 · see citing works
Online searching: Measures that discriminate among users with different types of experiences
Fenichel, C. H. (1981) · Journal of the American Society for Information Science · doi:10.1002/asi.4630320104 · Cited by 175 · see citing works
Overview of the TREC-8 Web Track
Hawking, D., Voorhees, E. M., Craswell, N., & Bailey, P. (1999) · Cited by 175 · see citing works
Investigating the querying and browsing behavior of advanced search engine users
White, R. W., & Morris, D. (2007) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1277741.1277787 · Cited by 171 · see citing works
Castillo, C. (2005) · ACM SIGIR Forum · doi:10.1145/1067268.1067287 · Cited by 170 · see citing works
Server Ranking for Distributed Text Retrieval Systems on the Internet
Yuwono, B., & Lee, D. L. (1997) · Database Systems for Advanced Applications · doi:10.1142/9789812819536_0005 · Cited by 166 · see citing works
Three-level caching for efficient query processing in large Web search engines
Long, X., & Suel, T. (2005) · International World Wide Web Conference (WWW) · doi:10.1145/1060745.1060785 · Cited by 155 · see citing works
Active exploration for learning rankings from clickthrough data
Radlinski, F., & Joachims, T. (2007) · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1281192.1281254 · Cited by 154 · see citing works
Effective retrieval with distributed collections
Xu, J., & Callan, J. (1998) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/290941.290974 · Cited by 154 · see citing works
Automatic feedback using past queries
Fitzpatrick, L., & Dent, M. (1997) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/258525.258597 · Cited by 148 · see citing works
Categorizing web queries according to geographical locality
Gravano, L., Hatzivassiloglou, V., & Lichtenstein, R. (2003) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/956863.956925 · Cited by 146 · see citing works
Mining the search trails of surfing crowds
Bilenko, M., & White, R. W. (2008) · International World Wide Web Conference (WWW) · doi:10.1145/1367497.1367505 · Cited by 145 · see citing works
The impact of database selection on distributed searching
Powell, A. L., French, J. C., Callan, J., Connell, M. E., & Viles, C. L. (2000) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/345508.345584 · Cited by 141 · see citing works
Optimum polynomial retrieval functions based on the probability ranking principle
Fuhr, N. (1989) · ACM Transactions on Information Systems · doi:10.1145/65943.65944 · Cited by 139 · see citing works
Variants of the Borda count method for combining ranked classifier hypotheses
van Erp, M., & Schomaker, L. (2000) · Cited by 134 · see citing works
Rank-preserving two-level caching for scalable search engines
Saraiva, P. C., de Moura, E. S., Ziviani, N., Meira, W., Fonseca, R., & Ribeiro-Neto, B. A. (2001) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/383952.383959 · Cited by 134 · see citing works
A Machine Learning Architecture for Optimizing Web Search Engines
Boyan, J. A., & Freitag, D. (1999) · Cited by 130 · see citing works
Shen, D., Pan, R., Sun, J.-T., Pan, J. J., Wu, K., Yin, J., & Yang, Q. (2005) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1117454.1117467 · Cited by 129 · see citing works
Query expansion using associated queries
Billerbeck, B., Scholer, F., Williams, H. E., & Zobel, J. (2003) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/956863.956866 · Cited by 126 · see citing works
User 4XXXXX9: Anonymizing Query Logs
Adar, E. (2007) · Cited by 120 · see citing works
Methods for information server selection
Hawking, D., & Thistlewaite, P. B. (1999) · ACM Transactions on Information Systems · doi:10.1145/297117.297123 · Cited by 118 · see citing works
Exploring distributional similarity based models for query spelling correction
Li, M., Zhang, Y., Zhu, M., & Zhou, M. (2006) · International Conference on Computational Linguistics · doi:10.3115/1220175.1220304 · Cited by 116 · see citing works
Adar, E., Weld, D. S., Bershad, B. N., & Gribble, S. D. (2007) · International World Wide Web Conference (WWW) · doi:10.1145/1242572.1242595 · Cited by 115 · see citing works
The Link Database: fast access to graphs of the Web
Randall, K. H., Stata, R., Wickremesinghe, R. G., & Wiener, J. L. (2003) · DCC · doi:10.1109/dcc.2002.999950 · Cited by 113 · see citing works
Learning a spelling error model from search query logs
Ahmad, F., & Kondrak, G. (2005) · doi:10.3115/1220575.1220695 · Cited by 111 · see citing works
An optimality proof of the LRU- K page replacement algorithm
O'Neil, E. J., O'Neil, P. E., & Weikum, G. (1999) · Journal of the ACM · doi:10.1145/300515.300518 · Cited by 110 · see citing works
Dynamic personalization of web sites without user intervention
Baraglia, R., & Silvestri, F. (2007) · Communications of the ACM · doi:10.1145/1216016.1216022 · Cited by 110 · see citing works
Self-citationChallenges on Distributed Web Retrieval
Baeza-Yates, R. A., Castillo, C., Junqueira, F., Plachouras, V., & Silvestri, F. (2007) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2007.367846 · Cited by 110 · see citing works
Self-citationA pipelined architecture for distributed text query evaluation
Moffat, A., Webber, W., Zobel, J., & Baeza-Yates, R. A. (2006) · Information Retrieval · doi:10.1007/s10791-006-9014-4 · Cited by 110 · see citing works
Design trade-offs for search engine caching
Baeza-Yates, R. A., Gionis, A., Junqueira, F., Murdock, V., Plachouras, V., & Silvestri, F. (2008) · ACM Transactions on the Web · doi:10.1145/1409220.1409223 · Cited by 108 · see citing works
Self-citationAutomatic classification of Web queries using very large unlabeled query logs
Beitzel, S. M., Jensen, E. C., Lewis, D. D., Chowdhury, A., & Frieder, O. (2007) · ACM Transactions on Information Systems · doi:10.1145/1229179.1229183 · Cited by 107 · see citing works
Server selection on the World Wide Web
Craswell, N., Bailey, P., & Hawking, D. (2000) · doi:10.1145/336597.336628 · Cited by 105 · see citing works
Li, Y., Zheng, Z., & Dai, H. (2005) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1117454.1117466 · Cited by 104 · see citing works
Improving Automatic Query Classification via Semi-Supervised Learning
Beitzel, S. M., Jensen, E. C., Frieder, O., Lewis, D. D., Chowdhury, A., & Kołcz, A. (2006) · Proceedings · doi:10.1109/icdm.2005.80 · Cited by 102 · see citing works
Pandey, S., & Olston, C. (2005) · International World Wide Web Conference (WWW) · doi:10.1145/1060745.1060805 · Cited by 102 · see citing works
AIR/X - A rule-based multistage indexing system for Iarge subject fields.
Fuhr, N., Hartmann, S., Lustig, G., Schwantner, M., Tzeras, K., & Knorz, G. (1991) · Cited by 101 · see citing works
On anonymizing query logs via token-based hashing
Kumar, R., Novak, J., Pang, B., & Tomkins, A. (2007) · International World Wide Web Conference (WWW) · doi:10.1145/1242572.1242657 · Cited by 100 · see citing works
Sorting Out the Document Identifier Assignment Problem
Silvestri, F. (2007) · Springer eBooks · doi:10.1007/978-3-540-71496-5_12 · Cited by 95 · see citing works
Self-citationALIWEB - Archie-like indexing in the WEB
de Koster, M. B. M. (1994) · Computer Networks and ISDN Systems · doi:10.1016/0169-7552(94)90131-7 · Cited by 93 · see citing works
Improving Query Spelling Correction Using Web Search Results
Chen, Q., Li, M., & Zhou, M. Q. (2007) · Cited by 91 · see citing works
A survey of query log privacy-enhancing techniques from a policy perspective
Cooper, A. (2008) · ACM Transactions on the Web · doi:10.1145/1409220.1409222 · Cited by 91 · see citing works
Using association rules to discover search engines related queries
Fonseca, B. M., Golgher, P. B., de Moura, E. S., & Ziviani, N. (2004) · International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD) · doi:10.1109/laweb.2003.1250284 · Cited by 91 · see citing works
Baeza-Yates, R. A., Hurtado, C., Mendoza, M., & Dupret, G. (2006) · Latin American Web Congress · doi:10.1109/laweb.2005.23 · Cited by 87 · see citing works
Load balancing for term-distributed parallel retrieval
Moffat, A., Webber, W., & Zobel, J. (2006) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1148170.1148232 · Cited by 84 · see citing works
Understanding User-Web Interactions via Web Analytics
Jansen, B. J. J. (2009) · Synthesis lectures on information concepts, retrieval, and services · doi:10.1007/978-3-031-02264-7 · Cited by 81 · see citing works
Algorithmic Challenges in Web Search Engines
Henzinger, M. R. (2004) · Internet Mathematics · doi:10.1080/15427951.2004.10129079 · Cited by 81 · see citing works
Applications of Web Query Mining
Baeza-Yates, R. A. (2005) · Lecture notes in computer science · doi:10.1007/978-3-540-31865-1_2 · Cited by 80 · see citing works
Web searching for sexual information: an exploratory study
Spink, A. H., Özmutlu, H. C., & Lorence, D. P. (2002) · Information Processing & Management · doi:10.1016/s0306-4573(02)00082-1 · Cited by 77 · see citing works
A day in the life of Web searching: an exploratory study
Özmutlu, S., Spink, A. H., & Özmutlu, H. C. (2003) · Information Processing & Management · doi:10.1016/s0306-4573(03)00044-x · Cited by 76 · see citing works
(2005) · IGI Global eBooks · doi:10.4018/978-1-59140-414-9 · Cited by 76 · see citing works
Salton, G., & Buckley, C. (1988) · Communications of the ACM · doi:10.1145/42372.42380 · Cited by 75 · see citing works
A Three Level Search Engine Index Based in Query Log Distribution
Baeza-Yates, R. A., & Saint-Jean, F. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-39984-1_5 · Cited by 73 · see citing works
Using sampled data and regression to merge search engine results
Si, L., & Callan, J. (2002) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/564376.564382 · Cited by 73 · see citing works
Learning to rank for information retrieval (LR4IR 2007)
Joachims, T., Li, H., Liu, T., & Zhai, C. (2007) · ACM SIGIR Forum · doi:10.1145/1328964.1328974 · Cited by 71 · see citing works
Comparing the performance of collection selection algorithms
Powell, A. L., & French, J. C. (2003) · ACM Transactions on Information Systems · doi:10.1145/944012.944016 · Cited by 70 · see citing works
Query suggestion based on user landing pages
Cucerzan, S., & White, R. W. (2007) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1277741.1277953 · Cited by 61 · see citing works
Teevan, J. B., Adar, E., Jones, R., & Potts, M. A. S. (2006) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1148170.1148326 · Cited by 61 · see citing works
Admission Policies for Caches of Search Engine Results
Baeza-Yates, R. A., Junqueira, F., Plachouras, V., & Witschel, H. F. (2007) · Springer eBooks · doi:10.1007/978-3-540-75530-2_7 · Cited by 61 · see citing works
Building a distributed full-text index for the web
Melink, S., Raghavan, S., Yang, B., & García-Molina, H. (2001) · ACM Transactions on Information Systems · doi:10.1145/502115.502116 · Cited by 61 · see citing works
Identifying "best bet" web search results by mining past user behavior
Agichtein, E., & Zheng, Z. (2006) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1150402.1150526 · Cited by 59 · see citing works
Beyond the Commons: Investigating the Value of Personalizing Web Search
Teevan, J. B., Dumais, S., & Horvitz, E. (2005) · Cited by 59 · see citing works
Mining search engine query logs via suggestion sampling
Bar-Yossef, Z., & Gurevich, M. (2008) · Proceedings of the VLDB Endowment · doi:10.14778/1453856.1453868 · Cited by 57 · see citing works
Graphs from Search Engine Queries
Baeza-Yates, R. A. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-69507-3_1 · Cited by 57 · see citing works
Learning random walks to rank nodes in graphs
Agarwal, A., & Chakrabarti, S. (2007) · International Conference on Machine Learning · doi:10.1145/1273496.1273498 · Cited by 56 · see citing works
Query-driven document partitioning and collection selection
Puppin, D., Silvestri, F., & Laforenza, D. (2006) · Scalable Information Systems · doi:10.1145/1146847.1146881 · Cited by 55 · see citing works
Self-citationTime-dependent semantic similarity measure of queries using historical click-through data
Zhao, Q., Hoi, S. C. H., Liu, T., Bhowmick, S. S., Lyu, M. R.-T., & Ma, W. (2006) · International World Wide Web Conference (WWW) · doi:10.1145/1135777.1135858 · Cited by 49 · see citing works
Classifying search engine queries using the web as background knowledge
Vogel, D. S., Bickel, S., Haider, P., Schimpfky, R., Siemen, P., Bridges, S., & Scheffer, T. (2005) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1117454.1117469 · Cited by 48 · see citing works
Optimizing result prefetching in web search engines with segmented indices
Lempel, R., & Moran, S. (2004) · ACM Transactions on Internet Technology · doi:10.1145/967030.967032 · Cited by 46 · see citing works
Analysis of large data logs: an application of Poisson sampling on excite web queries
Özmutlu, H. C., Spink, A. H., & Özmutlu, S. (2002) · Information Processing & Management · doi:10.1016/s0306-4573(01)00043-7 · Cited by 46 · see citing works
Information retrieval systems for large document collections
Moffat, A., & Zobel, J. (1994) · Cited by 46 · see citing works
Finding Similar Queries to Satisfy Searches Based on Query Traces
Zai͏̈ane, O. R., & Strilets, A. (2002) · Lecture notes in computer science · doi:10.1007/3-540-46105-1_24 · Cited by 45 · see citing works
Assigning identifiers to documents to enhance the clustering property of fulltext indexes
Silvestri, F., Orlando, S., & Perego, R. (2004) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1008992.1009046 · Cited by 43 · see citing works
Self-citationMining Query Logs to Optimize Index Partitioning in Parallel Web Search Engines
Lucchese, C., Orl, S., Perego, R., & Silvestri, F. (2007) · Cited by 41 · see citing works
Self-citationFinding near neighbors through cluster pruning
Chierichetti, F., Panconesi, A., Raghavan, P., Sozio, M., Tiberi, A., & Upfal, E. (2007) · ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS) · doi:10.1145/1265530.1265545 · Cited by 39 · see citing works
Some Observations on User Search Behaviour
Zhang, Y., & Moffat, A. (2006) · International Conference on Intelligent Information Processing · Cited by 36 · see citing works
Multitasking Web searching and implications for design
Özmutlu, S., Özmutlu, H. C., & Spink, A. H. (2003) · Proceedings of the American Society for Information Science and Technology · doi:10.1002/meet.1450400150 · Cited by 35 · see citing works
Optimized Inverted List Assignment in Distributed Search Engine Architectures
Zhang, J., & Suel, T. (2007) · IEEE International Parallel and Distributed Processing Symposium (IPDPS) · doi:10.1109/ipdps.2007.370231 · Cited by 35 · see citing works
Examining Repetition in User Search Behavior
Sanderson, M., & Dumais, S. (2007) · Springer eBooks · doi:10.1007/978-3-540-71496-5_56 · Cited by 35 · see citing works
Gupta, U. (1990) · Journal of the American Society for Information Science · doi:10.1002/(sici)1097-4571(199006)41:4 · Cited by 34 · see citing works
Tuning the capacity of search engines
Puppin, D., Silvestri, F., Perego, R., & Baeza-Yates, R. A. (2010) · ACM Transactions on Information Systems · doi:10.1145/1740592.1740593 · Cited by 33 · see citing works
Self-citationCrawl ordering by search impact
Pandey, S., & Olston, C. (2008) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/1341531.1341535 · Cited by 31 · see citing works
Hawking, D. (2006) · Computer · doi:10.1109/mc.2006.213 · Cited by 29 · see citing works
Using query logs to establish vocabularies in distributed information retrieval
Shokouhi, M., Zobel, J., Tahaghoghi, S. M., & Scholer, F. (2006) · Information Processing & Management · doi:10.1016/j.ipm.2006.04.003 · Cited by 29 · see citing works
Towards Privacy-Preserving Query Log Publishing
Xiong, L., & Agichtein, E. (2007) · Cited by 28 · see citing works
Baraglia, R., Cacheda, F., Carneiro, V., Fernández, D., Formoso, V., Perego, R., & Silvestri, F. (2009) · ACM Conference on Recommender Systems (RecSys) · doi:10.1145/1639714.1639729 · Cited by 28 · see citing works
Self-citationMultitasking Web search on Vivisimo.com
Spink, A. H., Koshman, S., Park, M., Field, C., & Jansen, B. J. J. (2005) · International Conference on Information Technology: Coding and Computing (ITCC) · doi:10.1109/itcc.2005.207 · Cited by 25 · see citing works
Flagged first, then by citations
8 of the 232 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Olteanu, A., Castillo, C., Diaz, F., & Kıcıman, E. (2019) · Frontiers in Big Data · doi:10.3389/fdata.2019.00013 · Cited by 763 · see citing works
“Studying web search behavior, Silvestri (2010) found that it varies across semantic domains, and Aula et al. (2010) that it changes as the task at hand becomes more difficult.”
BackgroundText Data Management and Analysis: A Practical Introduction to Information Retrieval and Text Mining
Zhai, C., & Massung, S. (2016) · doi:10.1145/2915031 · Cited by 198 · see citing works
Query suggestions in the absence of query logs
Bhatia, S., Majumdar, D., & Mitra, P. (2011) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2009916.2010023 · Cited by 170 · see citing works
Semantic Search on Text and Knowledge Bases
Bast, H., Buchhold, B., & Haußmann, E. (2016) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000032 · Cited by 175 · see citing works
Li, H., & Xu, J. (2014) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000035 · Cited by 159 · see citing works
SEARCH ENGINE COMPETITION WITH NETWORK EXTERNALITIES
Argenton, C., & Prüfer, J. (2012) · Journal of Competition Law & Economics · doi:10.1093/joclec/nhr018 · Cited by 139 · see citing works
Castillo, C., & Davison, B. D. (2010) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000021 · Cited by 131 · see citing works
Identifying task-based sessions in search engine query logs
Lucchese, C., Orlando, S., Perego, R., Silvestri, F., & Tolomei, G. (2011) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/1935826.1935875 · Cited by 133 · see citing works
Self-citationPersonalised Information Retrieval: survey and classification
Ghorab, M. R., Zhou, D. M., O’Connor, A., & Wade, V. (2012) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-012-9124-1 · Cited by 125 · see citing works
Online Evaluation for Information Retrieval
Hofmann, K., Li, L. C., & Radlinski, F. (2016) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000051 · Cited by 131 · see citing works
Li, H., & Xu, J. (2014) · now publishers, Inc. eBooks · doi:10.1561/9781601988058 · Cited by 110 · see citing works
Context- and Content-aware Embeddings for Query Rewriting in Sponsored Search
Grbovic, M., Djuric, N., Radosavljević, V., Silvestri, F., & Bhamidipati, N. L. (2015) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2766462.2767709 · Cited by 104 · see citing works
Self-citationNavarro, G. (2014) · ACM Computing Surveys · doi:10.1145/2535933 · Cited by 95 · see citing works
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Olteanu, A., Castillo, C., Diaz, F., & Kiciman, E. (2016) · doi:10.2139/ssrn.2886526 · Cited by 763 · see citing works
Understanding User-Web Interactions via Web Analytics
Jansen, B. J. J. (2009) · Synthesis lectures on information concepts, retrieval, and services · doi:10.1007/978-3-031-02264-7 · Cited by 81 · see citing works
Selectively diversifying web search results
Santos, R. L. T., Macdonald, C., & Ounis, I. (2010) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/1871437.1871586 · Cited by 80 · see citing works
Opinion Mining and Sentiment Analysis
Zhai, C., & Massung, S. (2016) · doi:10.1145/2915031.2915050 · Cited by 86 · see citing works
Santos, R. L. T., Macdonald, C., & Ounis, I. (2015) · now publishers, Inc. eBooks · doi:10.1561/9781680830019 · Cited by 76 · see citing works
Toward Voice Query Clarification
Kiesel, J., Bahrami, A., Stein, B., Anand, A., & Hagen, M. (2018) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3209978.3210160 · Cited by 72 · see citing works
How users search and what they search for in the medical domain
Palotti, J., Hanbury, A., Müller, H., & Kahn, C. E. (2015) · Information Retrieval · doi:10.1007/s10791-015-9269-8 · Cited by 66 · see citing works
Silvestri, F., & Venturini, R. (2010) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/1871437.1871592 · Cited by 66 · see citing works
Self-citationQuery suggestion by constructing term-transition graphs
Song, Y., Zhou, D., & He, L.-W. (2012) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/2124295.2124339 · Cited by 64 · see citing works
Discovering tasks from search engine query logs
Lucchese, C., Orlando, S., Perego, R., Silvestri, F., & Tolomei, G. (2013) · ACM Transactions on Information Systems · doi:10.1145/2493175.2493179 · Cited by 63 · see citing works
Self-citationMining search and browse logs for web search
Jiang, D., Pei, J., & Li, H. (2013) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2508037.2508038 · Cited by 58 · see citing works
The use of query suggestions during information search
Niu, X., & Kelly, D. (2013) · Information Processing & Management · doi:10.1016/j.ipm.2013.09.002 · Cited by 52 · see citing works
Learning to rank query suggestions for adhoc and diversity search
Santos, R. L. T., Macdonald, C., & Ounis, I. (2012) · Information Retrieval · doi:10.1007/s10791-012-9211-2 · Cited by 50 · see citing works
Automatically structuring domain knowledge from text: An overview of current research
Clark, M., Kim, Y., Kruschwitz, U., Song, D., Albakour, D., Dignum, S., Beresi, U. C., Fasli, M., & Roeck, A. N. D. (2011) · Information Processing & Management · doi:10.1016/j.ipm.2011.07.002 · Cited by 50 · see citing works
How useful is social feedback for learning to rank YouTube videos?
Chelaru, S., Orellana-Rodriguez, C., & Altıngövde, İ. S. (2013) · World Wide Web · doi:10.1007/s11280-013-0258-9 · Cited by 42 · see citing works
When do people use query suggestion? A query suggestion log analysis
Kato, M. P., Sakai, T., & Tanaka, K. (2013) · Information Retrieval · doi:10.1007/s10791-012-9216-x · Cited by 41 · see citing works
Understanding User-Web Interactions via Web Analytics
Jansen, B. J. J. (2009) · Synthesis lectures on information concepts, retrieval, and services · doi:10.2200/s00191ed1v01y200904icr006 · Cited by 40 · see citing works
CoNotate: Suggesting Queries Based on Notes Promotes Knowledge Discovery
Palani, S., Ding, Z., Nguyen, A., Chuang, A., MacNeil, S., & Dow, S. P. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445618 · Cited by 36 · see citing works
Fatima, W., Rizvi, S. S. R., Ghazal, T. M., Kharma, Q. M., Ahmad, M., Abbas, S., Furqan, M., & Khan, M. A. (2025) · IEEE Access · doi:10.1109/access.2025.3575610 · Cited by 35 · see citing works
Generating suggestions for queries in the long tail with an inverted index
Broccolo, D., Marcon, L., Nardini, F. M., Perego, R., & Silvestri, F. (2011) · Information Processing & Management · doi:10.1016/j.ipm.2011.07.005 · Cited by 34 · see citing works
Self-citationAnalyzing Log Analysis: An Empirical Study of User Log Mining
Alspaugh, S., Chen, B., Lin, J., Ganapathi, A., Splunk Inc, Hearst, M. A., & Katz, R. (2014) · Cited by 34 · see citing works
Investigating queries and search failures in academic search
Li, X., Schijvenaars, B. J. A., & de Rijke, M. (2017) · Information Processing & Management · doi:10.1016/j.ipm.2017.01.005 · Cited by 32 · see citing works
Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study
An, L. C., Russell, D. M., Mihalcea, R. F., Bacon, E. M., Huffman, S. B., & Resnicow, K. (2021) · JMIR Infodemiology · doi:10.2196/32127 · Cited by 31 · see citing works
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model
Avent, B., Korolova, A., Zeber, D., Hovden, T., & Livshits, B. (2019) · Journal of Privacy and Confidentiality · doi:10.29012/jpc.680 · Cited by 71 · see citing works
A probabilistic mixture model for mining and analyzing product search log
Duan, H., Zhai, C., Cheng, J., & Kumar, R. (2013) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2505515.2505578 · Cited by 29 · see citing works
Indexing Highly Repetitive String Collections, Part II
Navarro, G. (2021) · ACM Computing Surveys · doi:10.1145/3432999 · Cited by 29 · see citing works
Assessing data access issues in online platforms
Graef, I., Wahyuningtyas, S. Y., & Valcke, P. (2015) · Telecommunications Policy · doi:10.1016/j.telpol.2014.12.001 · Cited by 27 · see citing works
Similarity caching in large-scale image retrieval
Falchi, F., Lucchese, C., Orlando, S., Perego, R., & Rabitti, F. (2011) · Information Processing & Management · doi:10.1016/j.ipm.2010.12.006 · Cited by 27 · see citing works
Orthogonal query recommendation
Vahabi, H., Ackerman, M., Loker, D., Baeza-Yates, R. A., & López-Ortíz, A. (2013) · ACM Conference on Recommender Systems (RecSys) · doi:10.1145/2507157.2507159 · Cited by 26 · see citing works
Deriving query suggestions for site search
Kruschwitz, U., Lungley, D., Albakour, M., & Song, D. (2013) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22901 · Cited by 25 · see citing works
Characterizing Search Behavior in Web Archives.
Costa, M. A., & Silva, M. J. (2011) · Cited by 25 · see citing works
New query suggestion framework and algorithms: A case study for an educational search engine
Vidinli, İ. B., & Ozcan, R. (2016) · Information Processing & Management · doi:10.1016/j.ipm.2016.02.001 · Cited by 23 · see citing works
Vuong, T., Jacucci, G., & Ruotsalo, T. (2017) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3130974 · Cited by 23 · see citing works
Caching query-biased snippets for efficient retrieval
Ceccarelli, D., Lucchese, C., Orlando, S., Perego, R., & Silvestri, F. (2011) · International Conference on Extending Database Technology (EDBT) · doi:10.1145/1951365.1951379 · Cited by 22 · see citing works
Self-citationExploring Ant Colony Optimisation for Adaptive Interactive Search
Albakour, M., Kruschwitz, U., Nanas, N., Song, D., Fasli, M., & Roeck, A. N. D. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23318-0_20 · Cited by 20 · see citing works
Reliability and validity of query intent assessments
Verberne, S., van der Heijden, M., Hinne, M., Sappelli, M., Koldijk, S., Hoenkamp, E. C., & Kraaij, W. (2013) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22948 · Cited by 20 · see citing works
Cleaning Antipatterns in an SQL Query Log
Arzamasova, N., Schäler, M., & Böhm, K. (2017) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2017.2772252 · Cited by 20 · see citing works
Spaces, Trees and Colors: The Algorithmic Landscape of Document Retrieval on SequencesPreprint
Navarro, G. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1304.6023 · Cited by 19 · see citing works
Adaptive utterance rewriting for conversational search
Mele, I., Muntean, C. I., Nardini, F. M., Perego, R., Tonellotto, N., & Frieder, O. (2021) · Information Processing & Management · doi:10.1016/j.ipm.2021.102682 · Cited by 18 · see citing works
Pang, B., & Kumar, R. (2011) · Cited by 18 · see citing works
Explicit web search result diversification
Santos, R. L. T. (2012) · ACM SIGIR Forum · doi:10.1145/2492189.2492205 · Cited by 16 · see citing works
Improving Europeana Search Experience Using Query Logs
Ceccarelli, D., Gordea, S., Lucchese, C., Nardini, F. M., & Tolomei, G. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-24469-8_39 · Cited by 16 · see citing works
Using Interaction Data to Explain Difficulty Navigating Online
Thomas, P. (2014) · ACM Transactions on the Web · doi:10.1145/2656343 · Cited by 16 · see citing works
Using query logs of USPTO patent examiners for automatic query expansion in patent searching
Tannebaum, W., & Rauber, A. (2014) · Information Retrieval · doi:10.1007/s10791-014-9238-7 · Cited by 16 · see citing works
Load-sensitive CPU Power Management for Web Search Engines
Catena, M., Macdonald, C., & Tonellotto, N. (2015) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2766462.2767809 · Cited by 15 · see citing works
A self-adapting latency/power tradeoff model for replicated search engines
Freire, A., Macdonald, C., Tonellotto, N., Ounis, I., & Cacheda, F. (2014) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/2556195.2556246 · Cited by 15 · see citing works
Recommendations for the long tail by term-query graph
Bonchi, F., Perego, R., Silvestri, F., Vahabi, H., & Venturini, R. (2011) · International World Wide Web Conference (WWW) · doi:10.1145/1963192.1963201 · Cited by 15 · see citing works
Self-citationProfile-Based Summarisation for Web Site Navigation
Alhindi, A., Kruschwitz, U., Fox, C., & Albakour, M. (2015) · ACM Transactions on Information Systems · doi:10.1145/2699661 · Cited by 14 · see citing works
User modeling in search logs via a nonparametric bayesian approach
Wang, H., Zhai, C., Liang, F., Dong, A., & Chang, Y. (2014) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/2556195.2556262 · Cited by 13 · see citing works
Web personalization research: an information systems perspective
Krishnaraju, V., & Mathew, S. K. (2013) · Journal of Systems and Information Technology · doi:10.1108/jsit-11-2012-0065 · Cited by 13 · see citing works
Deep Learning in Knowledge Graph
Liu, Z., & Han, X. (2018) · Springer eBooks · doi:10.1007/978-981-10-5209-5_5 · Cited by 13 · see citing works
Dynamic refinement of search engines results utilizing the user intervention
Antoniou, D., Plegas, Y., Tsakalidis, A., Tzimas, G. E., & Viennas, E. S. (2012) · Journal of Systems and Software · doi:10.1016/j.jss.2012.01.049 · Cited by 12 · see citing works
Report on the TrebleCLEF query log analysis workshop 2009
Clough, P. D., & Berendt, B. (2009) · ACM SIGIR Forum · doi:10.1145/1670564.1670578 · Cited by 12 · see citing works
Investigating religious information searching through analysis of a search engine log
Wan-Chik, R. Z., Clough, P., & Sanderson, M. (2013) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22945 · Cited by 12 · see citing works
Lightweight Tag-Aware Personalized Recommendation on the Social Web Using Ontological Similarity
Xu, Z., Tifrea-Marciuska, O., Lukasiewicz, T., Martínez, M. V., Simari, G. I., & Chen, C. (2018) · IEEE Access · doi:10.1109/access.2018.2850762 · Cited by 12 · see citing works
A Real-Time Query Log Protection Method for Web Search Engines
Pàmies-Estrems, D., Castellà‐Roca, J., & García-Alfaro, J. (2020) · IEEE Access · doi:10.1109/access.2020.2992012 · Cited by 12 · see citing works
What Should We Teach in Information Retrieval?
Markov, I., & de Rijke, M. (2019) · ACM SIGIR Forum · doi:10.1145/3308774.3308780 · Cited by 11 · see citing works
Hybrid Query Scheduling for a Replicated Search Engine
Freire, A., Macdonald, C., Tonellotto, N., Ounis, I., & Cacheda, F. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-36973-5_37 · Cited by 11 · see citing works
User evaluation of query quality
Wu, W., Kelly, D., & Huang, K. (2012) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2348283.2348315 · Cited by 11 · see citing works
Exploiting Green Energy to Reduce the Operational Costs of Multi-Center Web Search Engines
Blanco, R., Catena, M., & Tonellotto, N. (2016) · International World Wide Web Conference (WWW) · doi:10.1145/2872427.2883021 · Cited by 11 · see citing works
Queries in authentic work tasks: the effects of task type and complexity
Saastamoinen, M., & Järvelin, K. (2016) · Journal of Documentation · doi:10.1108/jd-09-2015-0119 · Cited by 11 · see citing works
Temporarily Unavailable: Memory Inhibition in Cognitive and Computer Science
Tempel, T., Niederée, C., Jilek, C., Ceroni, A., Maus, H., Runge, Y., & Frings, C. (2019) · Interacting with Computers · doi:10.1093/iwc/iwz013 · Cited by 11 · see citing works
What Public Transit API Logs Tell Us about Travel Flows
Colpaert, P., Chua, A., Verborgh, R., Mannens, E., Rik Van De Walle, B., & Moere, A. V. (2016) · International World Wide Web Conference (WWW) · doi:10.1145/2872518.2891069 · Cited by 9 · see citing works
Query expansion based on clustering and personalized information retrieval
Khalifi, H., Cherif, W., Qadi, A. E., & Ghanou, Y. (2019) · Progress in Artificial Intelligence · doi:10.1007/s13748-019-00178-y · Cited by 9 · see citing works
Mining Precision Interfaces From Query Logs
Zhang, Q., Zhang, H., Sellam, T., & Wu, E. (2019) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/3299869.3319872 · Cited by 9 · see citing works
Topical result caching in web search engines
Mele, I., Tonellotto, N., Frieder, O., & Perego, R. (2020) · Information Processing & Management · doi:10.1016/j.ipm.2019.102193 · Cited by 9 · see citing works
Mining Query Logs of USPTO Patent Examiners
Tannebaum, W., & Rauber, A. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40802-1_17 · Cited by 9 · see citing works
Indexing Highly Repetitive String Collections
Navarro, G. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.02781 · Cited by 9 · see citing works
Moving towards Adaptive Search in Digital Libraries
Kruschwitz, U., Albakour, M., Niu, J., Leveling, J., Nanas, N., Kim, Y., Song, D., Fasli, M., & Roeck, A. N. D. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23160-5_4 · Cited by 8 · see citing works
Tannebaum, W., & Rauber, A. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-31274-8_11 · Cited by 8 · see citing works
Tannebaum, W., & Rauber, A. (2015) · World Patent Information · doi:10.1016/j.wpi.2015.02.005 · Cited by 8 · see citing works
Efficient diversification of search results using query logs
Capannini, G., Nardini, F. M., Perego, R., & Silvestri, F. (2011) · International World Wide Web Conference (WWW) · doi:10.1145/1963192.1963202 · Cited by 8 · see citing works
Self-citationDistribution-Aware Compressed Full-Text Indexes
Ferragina, P., Sirén, J., & Venturini, R. (2013) · Algorithmica · doi:10.1007/s00453-013-9782-3 · Cited by 8 · see citing works
Clarifying False Memories in Voice-based Search
Kiesel, J., Bahrami, A., Stein, B., Anand, A., & Hagen, M. (2019) · Proceedings of the 2019 Conference on Human Information Interaction and Retrieval · doi:10.1145/3295750.3298961 · Cited by 9 · see citing works
Search Query Recommendations using Hybrid User Profile with Query Logs
Umagandhi, R., & Kumar, A. V. S. (2013) · International Journal of Computer Applications · doi:10.5120/13895-1227 · Cited by 7 · see citing works
Distributed text search using suffix arrays
Arroyuelo, D., Bonacic, C., Gil-Costa, V., Marı́n, M., & Navarro, G. (2014) · Parallel Computing · doi:10.1016/j.parco.2014.06.007 · Cited by 7 · see citing works
A comparison of dataset search behaviour of internal versus search engine referred sessions
Ibáñez, L., & Simperl, E. P. B. (2022) · Conference on Human Information Interaction and Retrieval · doi:10.1145/3498366.3505821 · Cited by 7 · see citing works
Meng, L. (2014) · International Journal of Hybrid Information Technology · doi:10.14257/ijhit.2014.7.6.04 · Cited by 7 · see citing works
A Rank-biased Neural Network Model for Click Modeling
Yu, H.-T., Jatowt, A., Blanco, R., Jose, J. M., & Zhou, K. (2019) · Conference on Human Information Interaction and Retrieval · doi:10.1145/3295750.3298920 · Cited by 7 · see citing works
PatNet: A Lexical Database for the Patent Domain
Tannebaum, W., & Rauber, A. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-16354-3_60 · Cited by 7 · see citing works
Effect of Log-Based Query Term Expansion on Retrieval Effectiveness in Patent Searching
Tannebaum, W., Mahdabi, P., & Rauber, A. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24027-5_32 · Cited by 6 · see citing works
Explaining difficulty navigating a website using page view data
Thomas, P. (2012) · doi:10.1145/2407085.2407090 · Cited by 6 · see citing works
Personalized Entity Search by Sparse and Scrutable User Profiles
Torbati, G. H., Yates, A., & Weikum, G. (2020) · Conference on Human Information Interaction and Retrieval · doi:10.1145/3343413.3378011 · Cited by 6 · see citing works
Multiple Models for Recommending Temporal Aspects of Entities
Nguyen, T. N., Kanhabua, N., & Nejdl, W. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-93417-4_30 · Cited by 5 · see citing works
Luo, P., Hong, L., Wang, J., Wang, S., Guo, X., Gao, Z., & Cho, S. W. (2022) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.616 · Cited by 4 · see citing works
Modeling and predicting the task-by-task behavior of search engine users
Lucchese, C., Orlando, S., Perego, R., Silvestri, F., & Tolomei, G. (2013) · doi:10.5555/2491748.2491768 · Cited by 5 · see citing works
Self-citation(Query) History Teaches Everything, Including the Future
Silvestri, F., Baraglia, R., Lucchese, C., Orlando, S., & Perego, R. (2008) · Latin American Web Congress · doi:10.1109/la-web.2008.21 · Cited by 5 · see citing works
Self-citation
- Authors
- Silvestri, F.
- Affiliations
- Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" (IT)
- Corresponding author
- Silvestri, Fabrizio
- ORCID
- Silvestri, Fabrizio
- Venue
- Foundations and Trends® in Information Retrieval
- Publisher
- Emerald
- Published
- 2009-11-29
- Volume
- 4
- Issue
- 1-2
- Pages
- 1-174
- ISSN
- 1554-0669 (ISSN-L)
- 1554-0677
- OpenAlex
- W2099966806
- Cited by
- 194
- References
- 232
- Citations by year
- 2026: 1 · 2025: 3 · 2023: 2 · 2022: 4 · 2021: 5 · 2020: 7 · 2019: 12 · 2018: 6 · 2017: 8 · 2016: 39 · 2015: 17 · 2014: 20 · 2013: 26 · 2012: 15
- FWCI
- 37.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Foundations and Trends® in Information Retrieval (publishedVersion)
- ISTI Open Portal (submittedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Physical Sciences › Computer Science › Information Systems › Web Data Mining and Analysis
- Keywords
- search engines, user experience, search applications
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review