Paper Info
Title
Personalize web search results with user's location
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.
Year
DOI
Venue
2010
10.1145/1835449.1835604
SIGIR
Keywords
Field
DocType
probabilistic model,search relevance,personalize web search result,user experience,implicit local intent query,leverage user,web search result,physical location,significant improvement,commercial search engine,search engine
Data mining,Web search query,World Wide Web,Metasearch engine,Personalized search,Information retrieval,Semantic search,Computer science,Search engine indexing,Web query classification,Search-oriented architecture,Search analytics
Conference
Citations 
PageRank 
References 
9
0.53
4
Authors
4
Name
Order
Citations
PageRank
Yumao Lu11598.14
Fuchun Peng2137885.75
Xing Wei3114160.87
Benoit Dumoulin4603.99