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PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
13 years 3 months ago
Topic Modeling for Personalized Recommendation of Volatile Items
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
Maks Ovsjanikov, Ye Chen
HT
2010
ACM
13 years 7 months ago
Connecting users and items with weighted tags for personalized item recommendations
1 Tags are an important information source in Web 2.0. They can be used to describe users’ topic preferences as well as the content of items to make personalized recommendations....
Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak, Xia...
ICDM
2010
IEEE
267views Data Mining» more  ICDM 2010»
13 years 2 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
MMM
2009
Springer
180views Multimedia» more  MMM 2009»
14 years 1 months ago
Personalized News Video Recommendation
In this paper, a novel framework is developed to support personalized news video recommendation. First, multi-modal information sources for news videos are seamlessly integrated an...
Hangzai Luo, Jianping Fan, Daniel A. Keim, Shin'ic...
ECAI
2008
Springer
13 years 6 months ago
Probabilistic Reinforcement Rules for Item-Based Recommender Systems
The Internet is constantly growing, proposing more and more services and sources of information. Modeling personal preferences enables recommender systems to identify relevant subs...
Sylvain Castagnos, Armelle Brun, Anne Boyer