Yumao Lu, Fuchun Peng, Xing Wei, Benoît Dumoulin
Abstract
We build a probabilistic model to identify implicit local intent queries, and leverage user's physical location to improve Web search results for these queries. Evaluation on commercial search engine shows significant improvement on search relevance and user experience.
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We build a probabilistic model to identify implicit local intent queries, and leverage user's physical location to improve Web search results for these queries. Evaluation on commercial search engine shows significant improvement on search relevance and user experience.
Key concepts: Computer science, Leverage (statistics), Search engine, Information retrieval, World Wide Web, Probabilistic logic, Relevance (law), Metasearch engine