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SIGIR
2003
ACM
13 years 11 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
WWW
2007
ACM
14 years 6 months ago
Google news personalization: scalable online collaborative filtering
Several approaches to collaborative filtering have been studied but seldom have studies been reported for large (several million users and items) and dynamic (the underlying item ...
Abhinandan Das, Mayur Datar, Ashutosh Garg, ShyamS...
ICPR
2004
IEEE
14 years 6 months ago
A Bayesian Approach for 3D Models Retrieval Based on Characteristic Views
The management of big databases of threedimensional models (used in CAD applications, visualization, games, etc.) is a very important domain. The ability to characterize and easil...
Jean-Philippe Vandeborre, Mohamed Daoudi, Tarik Fi...
3DPVT
2004
IEEE
174views Visualization» more  3DPVT 2004»
13 years 9 months ago
A Bayesian Framework for 3D Models Retrieval Based on Characteristic Views
The management of big databases of three-dimensional models (used in CAD applications, visualization, games, etc.) is a very important domain. The ability to characterize and easi...
Tarik Filali Ansary, Jean-Philippe Vandeborre, Sa&...
ICDM
2009
IEEE
148views Data Mining» more  ICDM 2009»
14 years 12 days ago
Hierarchical Bayesian Models for Collaborative Tagging Systems
—Collaborative tagging systems with user generated content have become a fundamental element of websites such as Delicious, Flickr or CiteULike. By sharing common knowledge, mass...
Markus Bundschus, Shipeng Yu, Volker Tresp, Achim ...