Affiliation:
1. Yahoo! Research, Burbank, CA
2. University of Massachusetts, Amherst, MA
Abstract
Documents with timestamps, such as email and news, can be placed along a timeline. The timeline for a set of documents returned in response to a query gives an indication of how documents relevant to that query are distributed in time. Examining the timeline of a query result set allows us to characterize both how temporally dependent the topic is, as well as how relevant the results are likely to be. We outline characteristic patterns in query result set timelines, and show experimentally that we can automatically classify documents into these classes. We also show that properties of the query result set timeline can help predict the mean average precision of a query. These results show that meta-features associated with a query can be combined with text retrieval techniques to improve our understanding and treatment of text search on documents with timestamps.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Science Applications,General Business, Management and Accounting,Information Systems
Reference19 articles.
1. Allan J. Callan J. Collins-Thompson K. Croft B. Feng F. Fisher D. Lafferty J. Larkey L. Truong T. N. Ogilvie P. Si L. Strohman T. Turtle H. and Zhai C. 2003. The lemur toolkit for language modeling and information retrieval. http://www-2.cs.cmu.edu/~lemur/. Allan J. Callan J. Collins-Thompson K. Croft B. Feng F. Fisher D. Lafferty J. Larkey L. Truong T. N. Ogilvie P. Si L. Strohman T. Turtle H. and Zhai C. 2003. The lemur toolkit for language modeling and information retrieval. http://www-2.cs.cmu.edu/~lemur/.
2. Using terminological feedback for web search refinement
3. Query based event extraction along a timeline
4. Croft W. B. and Lafferty J. 2003. Language Modeling for Information Retrieval. Kluwer Academic Publishers. Croft W. B. and Lafferty J. 2003. Language Modeling for Information Retrieval. Kluwer Academic Publishers.
5. Predicting query performance
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