The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
A picture of search
Abstract
We survey many of the measures used to describe and evaluate the efficiency and effectiveness of large-scale search services. These measures, herein visualized versus verbalized, reveal a domain rich in complexity and scale. We cover six principle facets of search: the query space, users' query sessions, user behavior, operational requirements, the content space, and user demographics. While this paper focuses on measures, the measurements themselves raise questions and suggest avenues of further investigation.
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Citations
Cites
Broder, A. (2002) · ACM SIGIR Forum · doi:10.1145/792550.792552 · Cited by 1,944
Understanding user goals in web search
Rose, D. E., & Levinson, D. (2004) · Proceedings of the 13th international conference on World Wide Web · doi:10.1145/988672.988675 · Cited by 563
The indexable web is more than 11.5 billion pages
Gulli, A., & Signorini, A. (2005) · Special interest tracks and posters of the 14th international conference on World Wide Web - WWW '05 · doi:10.1145/1062745.1062789 · Cited by 412
Hourly analysis of a very large topically categorized web query log
Beitzel, S. M., Jensen, E. C., Chowdhury, A., Grossman, D., & Frieder, O. (2004) · Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/1008992.1009048 · Cited by 303
Self-citationCombining evidence for automatic Web session identification
He, D., Göker, A., & Harper, D. J. (2002) · Information Processing & Management · doi:10.1016/s0306-4573(01)00060-7 · Cited by 192
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 144
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 104
Self-citationAutomatic Evaluation of Web Search Services
Chowdhury, A. (2005) · Advances in computers · doi:10.1016/s0065-2458(04)64001-0 · Cited by 4
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Cited by
An Introduction to Neural Information Retrieval
Mitra, B., & Craswell, N. (2018) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000061 · Cited by 317
Neural Ranking Models with Weak Supervision
Dehghani, M., Zamani, H., Severyn, A., Kamps, J., & Croft, W. B. (2017) · Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval · doi:10.1145/3077136.3080832 · Cited by 299
Can all tags be used for search?
Bischoff, K., Firan, C. S., Nejdl, W., & Paiu, R. (2008) · Proceedings of the 17th ACM conference on Information and knowledge management · doi:10.1145/1458082.1458112 · Cited by 290
Understanding PubMed(R) user search behavior through log analysis
Islamaj Dogan, R., Murray, G. C., Neveol, A., & Lu, Z. (2009) · Database · doi:10.1093/database/bap018 · Cited by 265
Mining query logs: turning search usage data into knowledge
Silvestri, F. (2009) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000013 · Cited by 194
Metadata
- Authors
- Pass, G., Chowdhury, A., & Torgeson, C.
- Venue
- Proceedings of the 1st international conference on Scalable information systems - InfoScale '06
- Publisher
- ACM Press
- Published
- 2006
- Pages
- 1-es
- OpenAlex
- W1982858363
- Cited by
- 666
- References
- 8
- FWCI
- 27.44
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Pass, G., Chowdhury, A., & Torgeson, C. (2006). A picture of search. Proceedings of the 1st international conference on Scalable information systems - InfoScale '06. https://doi.org/10.1145/1146847.1146848
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
