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» Methods for boosting recommender systems
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SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
11 years 10 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
PROCEDIA
2010
157views more  PROCEDIA 2010»
13 years 6 months ago
Recommender system for predicting student performance
Recommender systems are widely used in many areas, especially in e-commerce. Recently, they are also applied in e-learning tasks such as recommending resources (e.g. papers, books...
Nguyen Thai-Nghe, Lucas Drumond, Artus Krohn-Grimb...
ER
2008
Springer
179views Database» more  ER 2008»
13 years 9 months ago
Recommendation Based Process Modeling Support: Method and User Experience
Abstract Although most workflow management systems nowadays offer graphical editors for process modeling, the learning curve is still too steep for users who are unexperienced in p...
Thomas Hornung, Agnes Koschmider, Georg Lausen
ECAI
2010
Springer
13 years 5 months ago
Social Recommendation with Interpersonal Influence
Social recommendation, that an individual recommends an item to another, has gained popularity and success in web applications such as online sharing and shopping services. It is l...
Junming Huang, Xueqi Cheng, Jiafeng Guo, Huawei Sh...
WWW
2010
ACM
14 years 2 months ago
SpotRank: a robust voting system for social news websites
In a social news website people share content they found on the web, called news, then vote for those they like the most. Voting for a news is then considered as a recommendation,...
Thomas Largillier, Guillaume Peyronnet, Sylvain Pe...