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View all- Wang YZhang DWulamu A(2021)A Multitask Learning Model with Multiperspective Attention and Its Application in RecommendationComputational Intelligence and Neuroscience10.1155/2021/85502702021Online publication date: 15-Oct-2021
Latent Factor models, which transform both users and items into the same latent feature space, are one of the most successful and ubiquitous models in recommender systems. Most existing models in this paradigm define both users' and items' latent ...
The most popular Recommender systems (RSs) employ Collaborative Filtering (CF) algorithms where users explicitly rate items. Based on these ratings, a user-item rating matrix is generated and used to select the items to be recommended for a target user. ...
One-Class Collaborative Filtering (OCCF) has recently received much attention in recommendation communities due to their close relationship with real industry problem settings. However, the problem with previous research studies on OCCF is that they ...
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