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» Predicting user interests from contextual information
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SIGIR
2008
ACM
14 years 9 months ago
To personalize or not to personalize: modeling queries with variation in user intent
In most previous work on personalized search algorithms, the results for all queries are personalized in the same manner. However, as we show in this paper, there is a lot of vari...
Jaime Teevan, Susan T. Dumais, Daniel J. Liebling
IUI
2000
ACM
15 years 2 months ago
Learning to recommend from positive evidence
In recent years, many systems and approaches for recommending information, products or other objects have been developed. In these systems, often machine learning methods that nee...
Ingo Schwab, Wolfgang Pohl, Ivan Koychev
UAI
2003
14 years 11 months ago
Preference-based Graphic Models for Collaborative Filtering
Collaborative filtering is a very useful general technique for exploiting the preference patterns of a group of users to predict the utility of items to a particular user. Previou...
Rong Jin, Luo Si, ChengXiang Zhai
CORR
2010
Springer
166views Education» more  CORR 2010»
14 years 10 months ago
I-Interaction: An Intelligent In-Vehicle User Interaction Model
The automobile is always a point of interest where new technology has been deployed. Because of this interest, human-vehicle interaction has been an appealing area for much resear...
Li Liu, Edward Dillon
ECIS
2000
14 years 11 months ago
Metadata-Based Integration of Qualitative and Quantitative Information Resources Approaching Knowledge Management
This paper presents a concept for the integration of quantitative and qualitative information sources with their accompanying management support functionalities from navigation and...
Bodo Rieger, Anja Kleber, Eitel von Maur