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» Implicit user modeling for personalized search
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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 3 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
CAISE
2003
Springer
14 years 25 days ago
SIM-Filter: User Profile based Smart Information Filtering and Personalization in Smartcard
The emergence of new information and communication system technologies allow the appearance of new techniques of data processing. Thus, it is increasingly difficult to user to find...
Abdelkrim Lahlou, Pascal Urien
AMKM
2003
Springer
14 years 25 days ago
Discovering, Visualizing, and Sharing Knowledge through Personalized Learning Knowledge Maps
This paper presents an agent-based approach to semantic exploration and knowledge discovery in large information spaces by means of capturing, visualizing and making usable implic...
Jasminko Novak, Michael Wurst, Monika Fleischmann,...
WWW
2008
ACM
14 years 8 months ago
Query-sets: using implicit feedback and query patterns to organize web documents
In this paper we present a new document representation model based on implicit user feedback obtained from search engine queries. The main objective of this model is to achieve be...
Barbara Poblete, Ricardo A. Baeza-Yates
DAGSTUHL
2004
13 years 9 months ago
Personalization of Queries based on User Preferences
Query Personalization is the process of dynamically enhancing a query with related user preferences stored in a user profile with the aim of providing personalized answers. The und...
Georgia Koutrika, Yannis E. Ioannidis