Paper: Jigs and Lures: Associating Web Queries with Structured Entities

ACL ID P11-1009
Title Jigs and Lures: Associating Web Queries with Structured Entities
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

We propose methods for estimating the prob- ability that an entity from an entity database is associated with a web search query. Asso- ciation is modeled using a query entity click graph, blending general query click logs with vertical query click logs. Smoothing tech- niques are proposed to address the inherent data sparsity in such graphs, including inter- polation using a query synonymy model. A large-scale empirical analysis of the smooth- ing techniques, over a 2-year click graph collected from a commercial search engine, shows significant reductions in modeling er- ror. The association models are then applied to the task of recommending products to web queries, by annotating queries with products from a large catalog and then mining query- product associations through web search ses...