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What makes a query temporally sensitive?
Author(s) -
Willis Craig,
Sherman Garrick,
Efron Miles
Publication year - 2016
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.2016.14505301047
Subject(s) - relevance (law) , computer science , information retrieval , data science , law , political science
This work examines factors that affect manual classifications of “temporally sensitive” information needs. We introduce the concepts of temporal relevance and temporal topicality to differentiate between different aspects of temporal retrieval research. 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. We use regression analysis to model previous manual classifications. We identify factors and potential problems with previous classifications, proposing principles and guidelines for future work on the evaluation of temporal retrieval models.