Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
TION ABSTRACT Personalised Video Retrieval: Application of Implicit Feedback and Semantic User Profiles Frank Hopfgartner University of Glasgow Glasgow G12 8QQ United Kingdom A ch...
Web search personalization aims to adapt search results to a user based on his tastes, interests and needs. The way in which such personal preferences are captured, modeled and exp...
: A distributed service to model and control contextual information in mobile and ubiquitous computing environments is presented in this paper. We introduce the general user model ...
Collaborative tagging systems are now deployed extensively to help users share and organize resources. Tag prediction and recommendation systems generally model user behavior as r...
Dawei Yin, Liangjie Hong, Zhenzhen Xue, Brian D. D...