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View all- Xia FAsabere NLiu HChen ZWang W(2017)Socially Aware Conference Participant Recommendation With Personality TraitsIEEE Systems Journal10.1109/JSYST.2014.234237511:4(2255-2266)Online publication date: Dec-2017
Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of recommender systems: collaborative filtering, content-based filtering, and ...
Over the past several years, research in recommender systems has emphasized the importance of serendipity, but there is still no consensus on the definition of this concept and whether serendipitous items should be recommended is still not a well-...
Recommender systems represent user preferences for the purpose of suggesting items to purchase or examine. They have become fundamental applications in electronic commerce and information access, providing suggestions that effectively prune large ...
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