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ICDE
2010
IEEE
283views Database» more  ICDE 2010»
14 years 10 months ago
Personalized Web Search with Location Preferences
As the amount of Web information grows rapidly, search engines must be able to retrieve information according to the user's preference. In this paper, we propose a new web sea...
Kenneth Wai-Ting Leung, Dik Lun Lee, Wang-Chien Le...
WWW
2010
ACM
14 years 5 months ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
CIKM
2006
Springer
14 years 2 months ago
Summarizing local context to personalize global web search
The PC Desktop is a very rich repository of personal information, efficiently capturing user's interests. In this paper we propose a new approach towards an automatic persona...
Paul-Alexandru Chirita, Claudiu S. Firan, Wolfgang...
BMVC
2010
13 years 8 months ago
Person Re-Identification by Support Vector Ranking
Solving the person re-identification problem involves matching observations of individuals across disjoint camera views. The problem becomes particularly hard in a busy public sce...
Bryan Prosser, Wei-Shi Zheng, Shaogang Gong, Tao X...
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 5 months 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...