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Similar user recommendation algorithm based on interactive link(PDF)


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Similar user recommendation algorithm based on interactive link
Li YingZhu Baoping
School of Computer Science and Engineering,Nanjing University of Scienceand Technology,Nanjing 210094,China
user recommendation interactive link similarity of basic information interactive strength indirect interaction
User recommendation is one of the essential functions of the social software. In view of that most of the user recommendation algorithms find the similar users only from a certain user’s followers and attention,ignoring persons who have interaction with the user but do not follow this user,and they just pay attention to the direct interaction among users and do not take the influence of indirect interaction on performance of recommendation into consideration,an effective user recommendation algorithm based on the interactive link is proposed here. By combining similarity of the basic information and the interactive strength between users,the algorithm can recommend similar users. Compared with other methods,the algorithm can expand the range of finding similar users and bring indirect interaction into the calculation of interactive strength under the background of interactive link. Experimental results show that the scheme can discover more similar users.


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Last Update: 2018-04-30