We propose methods for estimating the probability
\nthat an entity from an entity database
\nis associated with a web search query. Association
\nis modeled using a query entity click
\ngraph, blending general query click logs with
\nvertical query click logs. Smoothing techniques
\nare proposed to address the inherent
\ndata sparsity in such graphs, including interpolation
\nusing a query synonymy model. A
\nlarge-scale empirical analysis of the smoothing
\ntechniques, over a 2-year click graph
\ncollected from a commercial search engine,
\nshows significant reductions in modeling error.
\nThe association models are then applied
\nto the task of recommending products to web
\nqueries, by annotating queries with products
\nfrom a large catalog and then mining queryproduct
\nassociations through web search session
\nanalysis. Experimental analysis shows
\nthat our smoothing techniques improve coverage
\nwhile keeping precision stable, and overall,
\nthat our top-performing model affects 9%
\nof general web queries with 94% precision.<\/p>\n","protected":false},"excerpt":{"rendered":"
We propose methods for estimating the probability that an entity from an entity database is associated with a web search query. Association is modeled using a query entity click graph, blending general query click logs with vertical query click logs. Smoothing techniques are proposed to address the inherent data sparsity in such graphs, including interpolation […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"ppantel","user_id":"33275"},{"type":"user_nicename","value":"arielf","user_id":"31093"}],"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"Proceedings of Association for Computational Linguistics - Human Language Technology (ACL-HLT-11)","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"83-92","msr_page_range_start":"83","msr_page_range_end":"92","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"Proceedings of Association for Computational Linguistics - 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