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» A study of mixture models for collaborative filtering
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ICDM
2010
IEEE
267views Data Mining» more  ICDM 2010»
13 years 3 months ago
Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model
Web-page recommendation is to predict the next request of pages that Web users are potentially interested in when surfing the Web. This technique can guide Web users to find more u...
Qingyan Yang, Ju Fan, Jianyong Wang, Lizhu Zhou
ICASSP
2011
IEEE
12 years 9 months ago
Non-parametric bayesian measurement noise density estimation in non-linear filtering
In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle filters and Dirichlet process mixtures. Diri...
Emre Özkan, Saikat Saha, Fredrik Gustafsson, ...
EUSFLAT
2003
103views Fuzzy Logic» more  EUSFLAT 2003»
13 years 7 months ago
Instance-based collaborative filtering with fuzzy labels
In recommender systems, user ratings of items are often represented in terms of linguistic labels such as “fair” or “very good”. We investigate the potential of fuzzy sets...
Eyke Hüllermeier
UAI
2004
13 years 7 months ago
A Bayesian Approach toward Active Learning for Collaborative Filtering
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Rong Jin, Luo Si
TKDD
2010
121views more  TKDD 2010»
13 years 4 months ago
Factor in the neighbors: Scalable and accurate collaborative filtering
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
Yehuda Koren