An Extended Relevance Model for Session Search

Nir Levine; Haggai Roitman; Doron Cohen

An Extended Relevance Model for Session Search

Information Retrieval 2017-06-08 v1

Authors: Nir Levine , Haggai Roitman , Doron Cohen

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.

Keywords

information retrieval recommendation system relational database

Cite

@article{arxiv.1706.02061,
  title  = {An Extended Relevance Model for Session Search},
  author = {Nir Levine and Haggai Roitman and Doron Cohen},
  journal= {arXiv preprint arXiv:1706.02061},
  year   = {2017}
}

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