TY - GEN
T1 - Entity-Based Relevance Feedback for Document Retrieval
AU - Sheetrit, Eilon
AU - Raiber, Fiana
AU - Kurland, Oren
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/8/9
Y1 - 2023/8/9
N2 - There is a long history of work on using relevance feedback for ad hoc document retrieval. The main types of relevance feedback studied thus far are for documents, passages and terms. We explore the merits of using relevance feedback provided for entities in an entity repository. We devise retrieval methods that can utilize relevance feedback provided for tokens whether entities or terms. Empirical evaluation shows that using entity relevance feedback falls short with respect to utilizing term feedback on average, but is much more effective for difficult queries. Furthermore, integrating term and entity relevance feedback is of clear merit; e.g., for augmenting minimal document feedback. We also contrast approaches to presenting entities and terms for soliciting relevance feedback.
AB - There is a long history of work on using relevance feedback for ad hoc document retrieval. The main types of relevance feedback studied thus far are for documents, passages and terms. We explore the merits of using relevance feedback provided for entities in an entity repository. We devise retrieval methods that can utilize relevance feedback provided for tokens whether entities or terms. Empirical evaluation shows that using entity relevance feedback falls short with respect to utilizing term feedback on average, but is much more effective for difficult queries. Furthermore, integrating term and entity relevance feedback is of clear merit; e.g., for augmenting minimal document feedback. We also contrast approaches to presenting entities and terms for soliciting relevance feedback.
KW - document retrieval
KW - entity relevance feedback
KW - query expansion
UR - http://www.scopus.com/inward/record.url?scp=85171445658&partnerID=8YFLogxK
U2 - 10.1145/3578337.3605128
DO - 10.1145/3578337.3605128
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AN - SCOPUS:85171445658
T3 - ICTIR 2023 - Proceedings of the 2023 ACM SIGIR International Conference on the Theory of Information Retrieval
SP - 177
EP - 187
BT - ICTIR 2023 - Proceedings of the 2023 ACM SIGIR International Conference on the Theory of Information Retrieval
T2 - 9th ACM SIGIR International Conference on the Theory of Information Retrieval, ICTIR 2023
Y2 - 23 July 2023
ER -