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» Probabilistic models for personalizing web search
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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...
CIKM
2008
Springer
13 years 9 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
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...
CIKM
2011
Springer
12 years 7 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
13 years 9 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