Social Search and Discovery Using a Unified Approach

Presented at: 18th International World Wide Web Conference (WWW2009)

by Einat Amitay, David Carmel, Nadav Har'El, Shila Ofek-Koifman, Aya Soffer, Sivan Yogev, Nadav Golbandi

Webpage: http://www2009.eprints.org/186/1/p1211.pdf

We explore new ways of improving a search engine using data from Web 2.0 applications such as blogs and social bookmarks. This data contains entities such as documents, people and tags, and relationships between them. We propose a simple yet effective method, based on faceted search, that treats all entities in a unified manner: returning all of them (documents, people and tags) on every search, and allowing all of them to be used as search terms. We describe an implementation of such a social search engine on the intranet of a large enterprise, and present large-scale experiments which verify the validity of our approach.

Keywords: Poster Session


Resource URI on the dog food server: http://data.semanticweb.org/conference/www/2009/paper/186


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