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» Probabilistic models for personalizing web search
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CIKM
2006
Springer
13 years 11 months ago
A probabilistic relevance propagation model for hypertext retrieval
A major challenge in developing models for hypertext retrieval is to effectively combine content information with the link structure available in hypertext collections. Although s...
Azadeh Shakery, ChengXiang Zhai
CIKM
2005
Springer
14 years 1 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
JCIT
2007
91views more  JCIT 2007»
13 years 7 months ago
A Tool to Personalize the Ranking of the Documents Returned by an Internet Search Engine
Internet search engines identify web pages that contain user-specified keywords, and then rank these pages according to their (heuristically assessed) relevance to the user’s qu...
Wadee S. Alhalabi, Miroslav Kubat, Moiez A. Tapia
ACL
2009
13 years 5 months ago
Semantic Tagging of Web Search Queries
We present a novel approach to parse web search queries for the purpose of automatic tagging of the queries. We will define a set of probabilistic context-free rules, which genera...
Mehdi Manshadi, Xiao Li
NIPS
2000
13 years 9 months ago
The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity
We describe a joint probabilistic model for modeling the contents and inter-connectivity of document collections such as sets of web pages or research paper archives. The model is...
David A. Cohn, Thomas Hofmann