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» Predicting user interests from contextual information
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SDM
2012
SIAM
281views Data Mining» more  SDM 2012»
13 years 2 days ago
Contextual Collaborative Filtering via Hierarchical Matrix Factorization
Matrix factorization (MF) has been demonstrated to be one of the most competitive techniques for collaborative filtering. However, state-of-the-art MFs do not consider contextual...
ErHeng Zhong, Wei Fan, Qiang Yang
OZCHI
2006
ACM
15 years 3 months ago
Applying reach in direct manipulation user interfaces
The HCI community currently faces the problem of making tangible user interfaces actively responsive to their user’s current physical context. This paper explores the context of...
Aaron Toney, Bruce H. Thomas
WWW
2009
ACM
15 years 10 months ago
Personalized recommendation on dynamic content using predictive bilinear models
In Web-based services of dynamic content (such as news articles), recommender systems face the difficulty of timely identifying new items of high-quality and providing recommendat...
Wei Chu, Seung-Taek Park
ICDE
2009
IEEE
251views Database» more  ICDE 2009»
15 years 11 months ago
Contextual Ranking of Keywords Using Click Data
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...
Utku Irmak, Vadim von Brzeski, Reiner Kraft
ICPR
2004
IEEE
15 years 10 months ago
Probabilistic Combination of Multiple Modalities to Detect Interest
This paper describes a new approach to combine multiple modalities and applies it to the problem of affect recognition. The problem is posed as a combination of classifiers in a p...
Ashish Kapoor, Rosalind W. Picard, Yuri Ivanov