Abstract
This work takes an in-depth look at the factors that affect manual classifications of "temporally sensitive" information needs. We use qualitative and quantitative techniques to analyze 660 topics from the Text Retrieval Conference (TREC) previously used in the experimental evaluation of temporal retrieval models. Regression analysis is used to identify factors in previous manual classifications. We explore potential problems with the previous classifications, considering principles and guidelines for future work on temporal retrieval models.
Original language | English (US) |
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Title of host publication | SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval |
Publisher | Association for Computing Machinery |
Pages | 1065-1068 |
Number of pages | 4 |
ISBN (Electronic) | 9781450342902 |
DOIs | |
State | Published - Jul 7 2016 |
Event | 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2016 - Pisa, Italy Duration: Jul 17 2016 → Jul 21 2016 |
Publication series
Name | SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval |
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Other
Other | 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2016 |
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Country/Territory | Italy |
City | Pisa |
Period | 7/17/16 → 7/21/16 |
ASJC Scopus subject areas
- Information Systems
- Software