• US 20130159320A1
  • Filed: 12/19/2011
  • Published: 06/20/2013
  • Est. Priority Date: 12/19/2011
  • Status: Active Grant
First Claim
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1. A computer-implemented method for ranking documents, comprising:

  • identifying a plurality of query-document pairs based on clickthrough data for a plurality of documents;

    building a latent semantic model based on the plurality of query-document pairs, wherein the plurality of query-document pairs comprises a plurality of query-title pairs, and wherein building the latent semantic model comprises building a bilingual topic model by using the plurality of query-title pairs to learn a semantic representation of a query based on a likelihood that the query is a semantics-based translation of each of the plurality of documents; and

    ranking the plurality of documents for a Web search based on the latent semantic model.

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