document: Social search and discovery using a unified approach 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 .
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