TY - GEN
T1 - What makes a query temporally sensitive?
AU - Willis, Craig
AU - Sherman, Garrick
AU - Efron, Miles James
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/7/7
Y1 - 2016/7/7
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84980417644&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84980417644&partnerID=8YFLogxK
U2 - 10.1145/2911451.2914703
DO - 10.1145/2911451.2914703
M3 - Conference contribution
AN - SCOPUS:84980417644
T3 - SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval
SP - 1065
EP - 1068
BT - SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval
PB - Association for Computing Machinery, Inc
T2 - 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2016
Y2 - 17 July 2016 through 21 July 2016
ER -