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» Probabilistic models for personalizing web search
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APWEB
2005
Springer
13 years 10 months ago
Using Probabilistic Latent Semantic Analysis for Personalized Web Search
Web users use search engine to find useful information on the Internet. However current web search engines return answer to a query independent of specific user information need. S...
Chenxi Lin, Gui-Rong Xue, Hua-Jun Zeng, Yong Yu
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 3 days ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
SIGIR
2010
ACM
13 years 8 months ago
Personalize web search results with user's location
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 co...
Yumao Lu, Fuchun Peng, Xing Wei, Benoît Dumo...
ADMA
2008
Springer
240views Data Mining» more  ADMA 2008»
13 years 11 months ago
Automatic Web Tagging and Person Tagging Using Language Models
Abstract. Social bookmarking has become an important web2.0 application recently, which is concerned with the dual user behavior to search - tagging. Although social bookmarking we...
Qiaozhu Mei, Yi Zhang
KDD
2010
ACM
259views Data Mining» more  KDD 2010»
13 years 8 months ago
A probabilistic model for personalized tag prediction
Social tagging systems have become increasingly popular for sharing and organizing web resources. Tag recommendation is a common feature of social tagging systems. Social tagging ...
Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. D...