Author = Hamidzadeh, J.
Number of Articles: 3
Volume 9, Issue 2 , April 2021, , Pages 203-212
AbstractRecommender systems extract unseen information for predicting the next preferences. Most of these systems use additional information such as demographic data and previous users' ratings to predict users' preferences but rarely have used sequential information. In streaming recommender systems, the emergence ... Read More
Volume 7, Issue 3 , July 2019, , Pages 393-402
AbstractRecommender systems have been widely used in e-commerce applications. They are a subclass of information filtering system, used to either predict whether a user will prefer an item (prediction problem) or identify a set of k items that will be user-interest (Top-k recommendation problem). Demanding sufficient ... Read More
Volume 3, Issue 2 , July 2015, , Pages 121-130