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» CubeSVD: a novel approach to personalized Web search
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APWEB
2005
Springer
14 years 1 months ago
Using Probabilistic Latent Semantic Analysis for Personalized Web Search
Web users use search engine to find useful information on the Internet. However current web search engines return answer to a query independent of specific user information need. S...
Chenxi Lin, Gui-Rong Xue, Hua-Jun Zeng, Yong Yu
AH
2006
Springer
13 years 11 months ago
Personalized Navigation in the Semantic Web
Effective navigation and information retrieval is difficult and time consuming due to the increasing size of hyperspace. The introduction of the semantic web allows us to enhance t...
Michal Tvarozek
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
AMR
2008
Springer
214views Multimedia» more  AMR 2008»
13 years 9 months ago
Using Thematic Ontologies for User- and Group-Based Adaptive Personalization in Web Searching
This paper presents Prospector, an adaptive meta-search layer, which performs personalized re-ordering of search results. Prospector combines elements from two approaches to adapti...
Alexandros Paramythis, Florian König, Christi...
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...