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Coverage-based search result diversification
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Citations
Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
An analysis of approximations for maximizing submodular set functions—I
Nemhauser, G. L., Wolsey, L. A., & Fisher, M. L. (1978) · Mathematical Programming · doi:10.1007/bf01588971 · Cited by 4,412
Cost-effective outbreak detection in networks
Leskovec, J., Krause, A., Guestrin, C., Faloutsos, C., VanBriesen, J. M., & Glance, N. (2007) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1281192.1281239 · Cited by 2,614
A Language Modeling Approach to Information Retrieval
Ponte, J. M., & Croft, W. B. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130368 · Cited by 2,503
The use of MMR, diversity-based reranking for reordering documents and producing summaries
Carbonell, J., & Goldstein, J. (1998) · Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/290941.291025 · Cited by 2,329
The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries
Carbonell, J., & Goldstein, J. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130369 · Cited by 2,182
A language modeling approach to information retrieval
Ponte, J. M., & Croft, W. B. (1998) · Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/290941.291008 · Cited by 1,821
A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval
Zhai, C., & Lafferty, J. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130377 · Cited by 1,532
Agrawal, R., Gollapudi, S., Halverson, A., & Ieong, S. (2009) · Proceedings of the Second ACM International Conference on Web Search and Data Mining · doi:10.1145/1498759.1498766 · Cited by 1,020
The budgeted maximum coverage problem
Khuller, S., Moss, A., & Naor, J. S. (1999) · Information Processing Letters · doi:10.1016/s0020-0190(99)00031-9 · Cited by 1,009
Novelty and diversity in information retrieval evaluation
Clarke, C. L. A., Kolla, M., Cormack, G. V., Vechtomova, O., Ashkan, A., Büttcher, S., & MacKinnon, I. (2008) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1390334.1390446 · Cited by 997
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Zhai, C., & Lafferty, J. (2001) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/383952.384019 · Cited by 928
Expected reciprocal rank for graded relevance
Chapelle, O., Metlzer, D., Zhang, Y., & Grinspan, P. (2009) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/1645953.1646033 · Cited by 861
Pivoted Document Length Normalization
Singhal, A., Buckley, C., & Mitra, M. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130365 · Cited by 852
Document Language Models, Query Models, and Risk Minimization for Information Retrieval
Lafferty, J., & Zhai, C. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130375 · Cited by 754
Exploratory Search: Beyond the Query-Response Paradigm
White, R. W., & Roth, R. A. (2009) · Synthesis lectures on information concepts, retrieval, and services · doi:10.2200/s00174ed1v01y200901icr003 · Cited by 632
Zhai, C., Cohen, W. W., & Lafferty, J. (2015) · ACM SIGIR Forum · doi:10.1145/2795403.2795405 · Cited by 559
Pivoted document length normalization
Singhal, A., Buckley, C., & Mitra, M. (1996) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/243199.243206 · Cited by 557
Document language models, query models, and risk minimization for information retrieval
Lafferty, J., & Zhai, C. (2001) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/383952.383970 · Cited by 531
Exploiting query reformulations for web search result diversification
Santos, R. L. T., Macdonald, C., & Ounis, I. (2010) · International World Wide Web Conference (WWW) · doi:10.1145/1772690.1772780 · Cited by 461
An axiomatic approach for result diversification
Gollapudi, S., & Sharma, A. (2009) · International World Wide Web Conference (WWW) · doi:10.1145/1526709.1526761 · Cited by 399
Zhai, C. X., Cohen, W. W., & Lafferty, J. (2003) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/860435.860440 · Cited by 366
Less is more: probabilistic models for retrieving fewer relevant documents
Chen, H., & Karger, D. R. (2006) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1148170.1148245 · Cited by 322
Robertson, S. E., & Walker, S. (1999) · Cited by 314
Efficient and effective spam filtering and re-ranking for large web datasets
Cormack, G. V., Smucker, M. D., & Clarke, C. L. A. (2011) · Information Retrieval · doi:10.1007/s10791-011-9162-z · Cited by 282
Improving personalized web search using result diversification
Radlinski, F., & Dumais, S. (2006) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1148170.1148320 · Cited by 240
Exploratory Search: Beyond the Query—Response Paradigm
White, R. W., & Roth, R. A. (2009) · Synthesis Lectures on Information Concepts, Retrieval, and Services · doi:10.1007/978-3-031-02260-9 · Cited by 182
An exploration of axiomatic approaches to information retrieval
Fang, H., & Zhai, C. (2005) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1076034.1076116 · Cited by 174
Self-citationPredicting diverse subsets using structural SVMs
Yue, Y., & Joachims, T. (2008) · International Conference on Machine Learning · doi:10.1145/1390156.1390310 · Cited by 165
Evaluating diversified search results using per-intent graded relevance
Sakai, T., & Song, R. (2011) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2009916.2010055 · Cited by 163
The Generalized Maximum Coverage Problem
Cohen, R., & Katzir, L. (2008) · Information Processing Letters · doi:10.1016/j.ipl.2008.03.017 · Cited by 132
An Effectiveness Measure for Ambiguous and Underspecified Queries
Clarke, C. L. A., Kolla, M., & Vechtomova, O. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04417-5_17 · Cited by 123
Probabilistic models of ranking novel documents for faceted topic retrieval
Carterette, B., & Chandar, P. (2009) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/1645953.1646116 · Cited by 119
Redundancy, diversity and interdependent document relevance
Radlinski, F., Bennett, P. N., Carterette, B., & Joachims, T. (2009) · ACM SIGIR Forum · doi:10.1145/1670564.1670572 · Cited by 112
Explicit Search Result Diversification through Sub-queries
Santos, R. L. T., Peng, J., Macdonald, C., & Ounis, I. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-12275-0_11 · Cited by 96
DivQ: diversification for keyword search over structured databases
Demidova, E., Fankhauser, P., Zhou, X., & Nejdl, W. (2010) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1835449.1835506 · Cited by 86
Boyce, B. R. (1982) · Information Processing & Management · doi:10.1016/0306-4573(82)90033-4 · Cited by 83
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
A searching procedure for information retrieval
Goffman, W. (1964) · Information Processing & Management · doi:10.1016/0020-0271(64)90006-3 · Cited by 59
University of Glasgow at TREC 2009: Experiments with Terrier
McCreadie, R., MacDonald, C. M., Ounis, I., Peng, J., & Santos, R. L. T. (2009) · Cited by 40
Overview of the TREC 2011 Web Track | NIST
Soboroff, I. M., Craswell, N., Clarke, C. L. A., & Cormack, G. V. (2011) · OTHER - · Cited by 34
Microsoft Research at TREC 2009. Web and Relevance Feedback Tracks
Craswell, N., Fetterly, D., Najork, M., Robertson, S. E., & Yılmaz, E. (2009) · Cited by 26
Probabilistic Models of Novel Document Rankings for Faceted Topic Retrieval
Carterette, B., & Chandar, P. (2009) · Cited by 22
An exploration of pattern-based subtopic modeling for search result diversification
Zheng, W., Wang, X., Fang, H., & Cheng, H. (2011) · doi:10.1145/1998076.1998148 · Cited by 15
Self-citationDiversifying search results with popular subtopics
Yin, D., Xue, Z., Qi, X., & Davison, B. D. (2009) · Cited by 15
University of Delaware at Diverstiy Task of Web Track 2010.
Zheng, W., Fang, H., & Wang, X. (2010) · Text REtrieval Conference · Cited by 4
Self-citation
Research works printed but not linked: 6
- Clarke, C. L. A., Craswell, N., & Soboroff, I. (2009). Overview of the trec 2009 web track. In Proceedings of TREC’09.
- Clarke, C. L. A., Craswell, N., Soboroff, I., & Cormack, G. V. (2010). Preliminary overview of the trec 2010 web track. In Proceedings of TREC’10.
- Craswell, N., Fetterly, D., Najork, M., Robertson, S., & Yilmaz, E. (2009). Microsoft research at trec 2009. In Proceedings of TREC’09.
- Macdonald, C., Wang, J., & Clarke, C. (2011). Ecir2011 ddr workshop proceedings. In Proceedings of DDR’11, 2011.
- Santos, R. L., & Ounis, I. (2011). Diversifying for multiple information needs. In Proceedings of DDR’11.
- Zheng, W., & Fang, H. (2011). A comparative study of search result diversification methods. In Proceedings of DDR’11.
Metadata
- Authors
- Zheng, W., Wang, X., Fang, H., & Cheng, H.
- Venue
- Information Retrieval
- Published
- 2011-11-17
- Volume
- 15
- Issue
- 5
- Pages
- 433-457
- ISSN
- 1386-4564
- 1573-7659
- Cited by
- 16
- References
- 46
- Language
- en
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