Scalable and Explainable Friend Recommendation in Campus Social Network System
نویسندگان
چکیده
With the increasing popularity of social network systems, it’s valuable and important to provide well-designed and effective friend recommendation for users to achieve high loyalty of them. Although FOF is an effective and widely used friend recommendation algorithm, the straight-forward implementation of it needs increasingly large amount of computation power with the growth of the number of users. In this paper, we discuss scalable and explainable friend recommendation in campus social network system which is primary based on Friend-Of-a-Friend (FOF). On one hand, we take multiple relationship factors into account including common friends, common followed users, common followers, and common joined groups of the target user and the candidate for friend recommendation. On the other hand, we use incremental relationship data instead of the entire relationship data to create the latest recommendation list and detailed explanations of it for users. As a result, we can achieve better performance in time complexity and scalability. KeywordsFriend Recommendation; Campus Social Network System; FOF; Scalable and Explainable
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