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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...
BXML
2003
13 years 8 months ago
An XML-based Component Architecture for Personalized Adaptive Web Applications
: Developing personalized applications for the ubiquitous Web assumes to create content that can be automatically adapted to both different presentation platforms and user preferen...
Zoltán Fiala, Michael Hinz, Frank Wehner
SIGIR
2005
ACM
14 years 1 months ago
Personalizing search via automated analysis of interests and activities
We formulate and study search algorithms that consider a user’s prior interactions with a wide variety of content to personalize that user’s current Web search. Rather than re...
Jaime Teevan, Susan T. Dumais, Eric Horvitz
WONTO
2008
13 years 9 months ago
Personalized Reliable Web service Compositions
Nowadays Internet is anywhere and users can find all possible information. In this situation, the new challenge is to provide the right information at the right time. As Web servic...
Daniela Barreiro Claro, Oriana Licchelli, Patrick ...
WWW
2006
ACM
14 years 8 months ago
Automatic identification of user interest for personalized search
One hundred users, one hundred needs. As more and more topics are being discussed on the web and our vocabulary remains relatively stable, it is increasingly difficult to let the ...
Feng Qiu, Junghoo Cho