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CIKM
2005
Springer
13 years 10 months ago
Implicit user modeling for personalized search
Information retrieval systems (e.g., web search engines) are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally...
Xuehua Shen, Bin Tan, ChengXiang Zhai
HIS
2008
13 years 6 months ago
Implicit User Modelling Using Hybrid Meta-Heuristics
The requirements imposed on information retrieval systems are increasing steadily. The vast number of documents in today's large databases and especially on World Wide Web ca...
Pavel Krömer, Václav Snásel, Ja...
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...
IAT
2007
IEEE
13 years 8 months ago
Ontological User Profiles for Representing Context in Web Search
The goal of Web search personalization is to tailor search results to a particular user based on that user's interests and preferences. We present an approach to personalized...
Ahu Sieg, Bamshad Mobasher, Robin D. Burke
SIGIR
2006
ACM
13 years 10 months ago
Learning user interaction models for predicting web search result preferences
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
Eugene Agichtein, Eric Brill, Susan T. Dumais, Rob...