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Reviews are collaboratively generated by users on items and generally contain rich information than ratings in a recommender system scenario. Ratings are modeled successfully with latent space models by capturing interaction between users and items. However, only a few models collaboratively deal with documents such as reviews. In this study, by modeling reviews as a three-order tensor, we propose...
With the development of big data, the data size becomes bigger and bigger, which makes users consume enormous time to find the items that they might like from abundant options. Recommender systems are expected to help users find interested items. However, most existing recommendation methods do not take into account any additional contextual information with a reasonable complexity. This paper aims...
The development of social network has increased the importance of social recommendation. However, social recommender systems have only recently been given research attention. Social relationships between users, especially trust relationships, can facilitate the design of social recommender systems. Such systems are based on the idea that users linked by a social network tend to share similar interests...
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