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160
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PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
15 years 1 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
127
Voted
EWCBR
2004
Springer
15 years 9 months ago
Improving Recommendation Ranking by Learning Personal Feature Weights
The ranking of offers is an issue in e-commerce that has received a lot of attention in Case-Based Reasoning research. In the absence of a sales assistant, it is important to provi...
Lorcan Coyle, Padraig Cunningham
149
Voted
OTM
2010
Springer
15 years 1 months ago
A Personalized and Collaborative eLearning Materials Recommendation Scenario Using Ontology-Based Data Matching Strategies
Abstract. We propose a virtual teacher for the evaluation of students’ competencies. It aims to improve learning by making personalized suggestions on the learning materials. It ...
Ioana Ciuciu, Yan Tang
163
Voted
GROUP
2010
ACM
15 years 1 months ago
Towards a group recommender process model for ad-hoc groups and on-demand recommendations
Movie recommender systems simplify the movie selection by providing movie suggestions based on the respective user's personal taste. Most of the current systems address indiv...
Christoph Beckmann, Tom Gross
MM
2009
ACM
144views Multimedia» more  MM 2009»
15 years 10 months ago
Personalized movie recommendation
Anan Liu, Yongdong Zhang, Jintao Li