TY - GEN
T1 - An extended relevance model for session search
AU - Levine, Nir
AU - Roitman, Haggai
AU - Cohen, Doron
N1 - Publisher Copyright:
© 2017 Copyright held by the owner/author(s).
PY - 2017/8/7
Y1 - 2017/8/7
N2 - The session search task aims at best serving the user's information need given her previous search behavior during the session. We propose an extended relevance model that captures the user's dynamic information need in the session. Our relevance modelling approach is directly driven by the user's query reformulation (change) decisions and the estimate of how much the user's search behavior a.ects such decisions. Overall, we demonstrate that, the proposed approach significantly boosts session search performance.
AB - The session search task aims at best serving the user's information need given her previous search behavior during the session. We propose an extended relevance model that captures the user's dynamic information need in the session. Our relevance modelling approach is directly driven by the user's query reformulation (change) decisions and the estimate of how much the user's search behavior a.ects such decisions. Overall, we demonstrate that, the proposed approach significantly boosts session search performance.
UR - https://www.scopus.com/pages/publications/85029367940
U2 - 10.1145/3077136.3080664
DO - 10.1145/3077136.3080664
M3 - Conference contribution
AN - SCOPUS:85029367940
T3 - SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
SP - 865
EP - 868
BT - SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
PB - Association for Computing Machinery, Inc
T2 - 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017
Y2 - 7 August 2017 through 11 August 2017
ER -