Deep social collaborative filtering

Proceedings of the 13th ACM Conference on Recommender Systems, pp. 305-313, 2019.

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We have presented a Deep Social Collaborative Filtering which can exploit the social information with various aspects for recommendations

Abstract:

Recommender systems are crucial to alleviate the information overload problem in online worlds. Most of the modern recommender systems capture users' preference towards items via their interactions based on collaborative filtering techniques. In addition to the user-item interactions, social networks can also provide useful information to...More

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