Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
One of the main problems faced by university students is deciding the right learning path based on available information such as courses, schedules and professors. In this context,...
Abstract. As the amount of information available to users continues to grow, filtering wanted items from unwanted ones becomes a dominant task. To this end, various collaborative-f...
Wedescribe the use of a recommendersystem to enable continuousknowledgeacquisition and individualized tutoring of application software across an organization. Installing such syst...
Frank Linton, Deborah Joy, Hans-Peter Schaefer, An...
As an indispensable technique in the field of Information Filtering, Recommender System has been well studied and developed both in academia and in industry recently. However, mo...