Learning to Rank for Spatiotemporal Search
Learning to Rank for Spatiotemporal Search Blake Shaw, Jon Shea, Siddhartha Sinha, Andrew Hogue Foursquare 568 Broadway New York, NY {blake, jonshea, ssinha, ahogue}@foursquare.com ABSTRACT In this article we consider the problem of mapping a noisy estimate of a user’s current location to a semantically mean- ingful point of interest, such as a home, restaurant, or store. Despite the poor accurac
Web Search and Data Mining (WSDM) 2012
WSDM 2012 WSDM (pronounced "wisdom") is the premier international ACM conference covering research in the areas of search and data mining on the Web. The Fifth ACM WSDM Conference will take place in Seattle, Washington, USA during February 8-12, 2012. WSDM publishes original, high quality papers and presentations related to search and data mining on the Web and the Social Web, with an emphasis on
Inferring Semantic Query Relations from Collective User Behavior(CIKM 2008) èªã‚“ã - 糞糞糞ãƒãƒƒãƒˆå¼æ…¶
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