Title and snippet based result re-ranking in collaborative web search

Authors:
Oisín Boydell;Barry Smyth
Affiliations:
Adaptive Information Cluster, UCD School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland;Adaptive Information Cluster, UCD School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland
Venue:
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
Year:
2006

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Abstract

Collaborative Web search is a form of meta-search that manipulates the results of underlying Web search engines in response to the learned preferences of a given community of users. Results that have previously been selected in response to similar queries by community members are promoted in the returned results. However, promotion is limited to these previously-selected results and in this paper we describe and evaluate how relevant results without a selection history can also be promoted by exploiting snippet-text and title similarities.