In the Fifth Workshop on Human-Computer Interaction and Information Retrieval (HCIR 2011)
In this paper we present an analysis of search logs of a faceted search interface of LinkedIn, a popular social net- work with approximately 100 million users. 115 million search sessions from 22 million distinct users were collected. This analysis focuses on how users utilize facets in concert with traditional keyword search, what types of facets users are more likely to find useful.
This analysis can be used to improve facet and facet-value ranking algorithms and improve models of user behavior. We believe that this one of a few public analyses of facet search system, and the first analysis of this size, and also that considers social network search.