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AI
2009
Springer
14 years 2 months ago
Context Dependent Movie Recommendations Using a Hierarchical Bayesian Model
Abstract. We use a hierarchical Bayesian approach to model user preferences in different contexts or settings. Unlike many previous recommenders, our approach is content-based. We...
Daniel Pomerantz, Gregory Dudek
ICDM
2010
IEEE
111views Data Mining» more  ICDM 2010»
13 years 6 months ago
ValuePick: Towards a Value-Oriented Dual-Goal Recommender System
Given a user in a social network, which new friends should we recommend, the dual goal being to achieve user satisfaction and good network connectivity? Similarly, which new produc...
Leman Akoglu, Christos Faloutsos
KDD
2012
ACM
217views Data Mining» more  KDD 2012»
11 years 10 months ago
Cross-domain collaboration recommendation
Interdisciplinary collaborations have generated huge impact to society. However, it is often hard for researchers to establish such cross-domain collaborations. What are the patte...
Jie Tang, Sen Wu, Jimeng Sun, Hang Su
PRICAI
2004
Springer
14 years 1 months ago
A New Collaborative Recommender System Addressing Three Problems
Abstract. With the development of e-commerce and information access, a large amount of information can be found online, which makes a good recommendation service to be urgently nec...
Byeong Man Kim, Qing Li, Jong-Wan Kim, Jinsoo Kim
ICWSM
2009
13 years 5 months ago
A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items
A particularly challenging task for recommender systems (RSs) is deciding whether to recommend an item that received a variety of high and low scores from its users. RSs that inco...
Patricia Victor, Chris Cornelis, Martine De Cock, ...