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An Extended Relevance Model for Session Search
June 07, 2017 Β· Declared Dead Β· π Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
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Authors
Nir Levine, Haggai Roitman, Doron Cohen
arXiv ID
1706.02061
Category
cs.IR: Information Retrieval
Citations
15
Venue
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Last Checked
3 months ago
Abstract
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 affects such decisions. Overall, we demonstrate that, the proposed approach significantly boosts session search performance.
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