Abstract
In session-based recommendation systems, user interests are dynamic and purchasing actions are often influenced by both long-term and short-term interest preferences. However, user interests are not solely influenced by the users themselves but also by other external factors, such as social connections. To address these issues, a method utilizing a Graph Attention Network is proposed, which effectively integrates both the long-term and short-term interests of users and their friends. Experiments on the Douban and Delicious datasets demonstrate that the proposed algorithm outperforms baseline models.
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More From: Journal of Computing and Electronic Information Management
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