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» Probabilistic models for personalizing web search
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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 8 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
BMCBI
2007
134views more  BMCBI 2007»
13 years 7 months ago
PLAN: a web platform for automating high-throughput BLAST searches and for managing and mining results
Background: BLAST searches are widely used for sequence alignment. The search results are commonly adopted for various functional and comparative genomics tasks such as annotating...
Ji He, Xinbin Dai, Xuechun Zhao
CONTEXT
2007
Springer
13 years 11 months ago
Representing Context in Web Search with Ontological User Profiles
Abstract. One of the key factors for effective personalization of information access is the user context. We propose a framework which integrates several critical elements that mak...
Ahu Sieg, Bamshad Mobasher, Robin D. Burke
WWW
2010
ACM
14 years 2 months ago
Exploring web scale language models for search query processing
It has been widely observed that search queries are composed in a very different style from that of the body or the title of a document. Many techniques explicitly accounting for...
Jian Huang 0002, Jianfeng Gao, Jiangbo Miao, Xiaol...
SPIRE
2010
Springer
13 years 6 months ago
Hypergeometric Language Model and Zipf-Like Scoring Function for Web Document Similarity Retrieval
The retrieval of similar documents in the Web from a given document is different in many aspects from information retrieval based on queries generated by regular search engine use...
Felipe Bravo-Marquez, Gaston L'Huillier, Sebasti&a...