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» Probabilistic models for personalizing web search
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AMR
2008
Springer
214views Multimedia» more  AMR 2008»
14 years 11 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...
84
Voted
CIKM
2008
Springer
14 years 11 months ago
Matching task profiles and user needs in personalized web search
Personalization has been deemed one of the major challenges in information retrieval with a significant potential for providing better search experience to individual users. Espec...
Julia Luxenburger, Shady Elbassuoni, Gerhard Weiku...
ADAPTIVE
2007
Springer
14 years 11 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...
74
Voted
CIKM
2011
Springer
13 years 9 months ago
Personalizing web search results by reading level
Traditionally, search engines have ignored the reading difficulty of documents and the reading proficiency of users in computing a document ranking. This is one reason why Web se...
Kevyn Collins-Thompson, Paul N. Bennett, Ryen W. W...
ECIR
2010
Springer
14 years 11 months ago
Personalizing Web Search with Folksonomy-Based User and Document Profiles
Web search personalization aims to adapt search results to a user based on his tastes, interests and needs. The way in which such personal preferences are captured, modeled and exp...
David Vallet, Iván Cantador, Joemon M. Jose