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Dynamic Group Recommendation Based on the Attention Mechanism

School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China
Author to whom correspondence should be addressed.
Future Internet 2019, 11(9), 198;
Received: 29 July 2019 / Revised: 7 September 2019 / Accepted: 16 September 2019 / Published: 17 September 2019
Group recommendation has attracted significant research efforts for its importance in benefiting group members. The purpose of group recommendation is to provide recommendations to group users, such as recommending a movie to several friends. Group recommendation requires that the recommendation should be as satisfactory as possible to each member of the group. Due to the lack of weighting of users in different items, group decision-making cannot be made dynamically. Therefore, in this paper, a dynamic recommendation method based on the attention mechanism is proposed. Firstly, an improved density peak clustering ( DPC ) algorithm is used to discover the potential group; and then the attention mechanism is adopted to learn the influence weight of each user. The normalized discounted cumulative gain (NDCG) and hit ratio (HR) are adopted to evaluate the validity of the recommendation results. Experimental results on the CAMRa2011 dataset show that our method is effective. View Full-Text
Keywords: group recommendation; density peak clustering; attention mechanism group recommendation; density peak clustering; attention mechanism
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Xu, H.; Ding, Y.; Sun, J.; Zhao, K.; Chen, Y. Dynamic Group Recommendation Based on the Attention Mechanism. Future Internet 2019, 11, 198.

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