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» Learning to recommend questions based on user ratings
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WWW
2009
ACM
15 years 10 months ago
Matchbox: large scale online bayesian recommendations
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
David H. Stern, Ralf Herbrich, Thore Graepel
ECTEL
2006
Springer
15 years 1 months ago
Finding Communities of Practice from User Profiles Based on Folksonomies
User profiles can be used to identify persons inside a community with similar interests. Folksonomy systems allow users to individually tag the objects of a common set (e.g., web p...
Jörg Diederich, Tereza Iofciu
ECAI
2010
Springer
14 years 7 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...
IIR
2010
14 years 11 months ago
Context-Dependent Recommendations with Items Splitting
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
Linas Baltrunas, Francesco Ricci
WWW
2009
ACM
15 years 10 months ago
Learning to tag
Social tagging provides valuable and crucial information for large-scale web image retrieval. It is ontology-free and easy to obtain; however, irrelevant tags frequently appear, a...
Lei Wu, Linjun Yang, Nenghai Yu, Xian-Sheng Hua