%A Einat Amitay
%A David Carmel
%A Nadav Har'El
%A Shila Ofek-Koifman
%A Aya Soffer
%A Sivan Yogev
%A Nadav Golbandi
%T Social Search and Discovery Using a Unified Approach
%X 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 uni?ed 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. 
%C Madrid, Spain
%D 2009
%P 1211-1211
%L www2009186