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Return to Session VIIb: Efficiency and scaling
We review a query log of hundreds of millions of queries that constitute the total query traffic for an entire week of a general-purpose 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.
@inproceedings{1009048, author = {Steven M. Beitzel and Eric C. Jensen and Abdur Chowdhury and David Grossman and Ophir Frieder}, title = {Hourly analysis of a very large topically categorized web query log}, booktitle = {SIGIR '04: Proceedings of the 27th annual international conference on Research and development in information retrieval}, year = {2004}, isbn = {1-58113-881-4}, pages = {321--328}, location = {Sheffield, United Kingdom}, doi = {http://doi.acm.org/10.1145/1008992.1009048}, publisher = {ACM Press}, }  ©2005 Association for Computing Machinery |
