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Temporal profiles of queries

Published: 01 July 2007 Publication History

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.

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cover image ACM Transactions on Information Systems
ACM Transactions on Information Systems  Volume 25, Issue 3
July 2007
150 pages
ISSN:1046-8188
EISSN:1558-2868
DOI:10.1145/1247715
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 2007
Published in TOIS Volume 25, Issue 3

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Author Tags

  1. Time
  2. ambiguity
  3. event detection
  4. language models
  5. precision prediction
  6. query classification
  7. temporal profiles

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  • (2022)Ranking Models for the Temporal Dimension of TextACM Transactions on Information Systems10.1145/356548141:2(1-34)Online publication date: 21-Dec-2022
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  • (2021)How do Online Learning to Rank Methods Adapt to Changes of Intent?Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3404835.3462937(911-920)Online publication date: 11-Jul-2021
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