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Hourly analysis of a very large topically categorized web query log
Abstract
We review a query log of hundreds of millions of queries that constitute the total query traffic for an entire week of a generalpurpose commercial web search service. Previously, query logs have been studied from a single, cumulative view. In contrast, our analysis shows changes in popularity and uniqueness of topically categorized queries across the hours of the day. We examine query traffic on an hourly basis by matching it against lists of queries that have been topically pre-categorized by human editors. This represents 13 % of the query traffic. We show that query traffic from particular topical categories differs both from the query stream as a whole and from other categories. This analysis provides valuable insight for improving retrieval effectiveness and efficiency. It is also relevant to the development of enhanced query disambiguation, routing, and caching algorithms.
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Cited by
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
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
Understanding User Behavior Through Log Data and Analysis
Dumais, S., Jeffries, R., Russell, D. M., Tang, D., & Teevan, J. (2014) · Ways of Knowing in HCI · doi:10.1007/978-1-4939-0378-8_14 · Cited by 131
Modeling and predicting behavioral dynamics on the web
Radinsky, K., Svore, K., Dumais, S., Teevan, J., Bocharov, A., & Horvitz, E. (2012) · Proceedings of the 21st international conference on World Wide Web · doi:10.1145/2187836.2187918 · Cited by 122
Time-sensitive query auto-completion
Shokouhi, M., & Radinsky, K. (2012) · Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/2348283.2348364 · Cited by 95
Metadata
- Authors
- Beitzel, S. M., Jensen, E. C., Chowdhury, A., Grossman, D., & Frieder, O.
- Venue
- Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
- Publisher
- ACM
- Published
- 2004-07-25
- Pages
- 321-328
- OpenAlex
- W2064522604
- Cited by
- 303
- References
- 0
- FWCI
- 18.68
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Beitzel, S. M., Jensen, E. C., Chowdhury, A., Grossman, D., & Frieder, O. (2004). Hourly analysis of a very large topically categorized web query log. Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval. https://doi.org/10.1145/1008992.1009048
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