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» Implicit user modeling for personalized search
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SIGIR
2010
ACM
13 years 11 months ago
Inferring user intent in web search by exploiting social annotations
In this paper, we present a folksonomy-based approach for implicit user intent extraction during a Web search process. We present a number of result re-ranking techniques based on...
Jose M. Conde, David Vallet, Pablo Castells
ADAPTIVE
2007
Springer
13 years 9 months ago
Personalized Search on the World Wide Web
With the exponential growth of the available information on the World Wide Web, a traditional search engine, even if based on sophisticated document indexing algorithms, has diffi...
Alessandro Micarelli, Fabio Gasparetti, Filippo Sc...
MM
2010
ACM
151views Multimedia» more  MM 2010»
13 years 7 months ago
Explicit and implicit concept-based video retrieval with bipartite graph propagation model
The major scientific problem for content-based video retrieval is the semantic gap. Generally speaking, there are two appropriate ways to bridge the semantic gap: the first one is...
Lei Bao, Juan Cao, Yongdong Zhang, Jintao Li, Ming...
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
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 2 months ago
Modeling and predicting user behavior in sponsored search
Implicit user feedback, including click-through and subsequent browsing behavior, is crucial for evaluating and improving the quality of results returned by search engines. Severa...
Josh Attenberg, Sandeep Pandey, Torsten Suel