Conference paper
Social recommender systems
Ido Guy, David Carmel
WWW 2011
Our experiments focused this year on the ad-hock task of the Terabyte track. We experimented with WAND, a document-at a- time evaluation algorithm we developed recently. Our results demonstrate the superiority of WAND over traditional term-atime strategy while searching over a large collection such as gov2. We demonstrate how Web expansion can be successfully applied to significantly improve search results. In addition, we describe several schemes for creating manual queries, following this year's goal to enrich the pool of results by manual runs.
Ido Guy, David Carmel
WWW 2011
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