Research on session recommendation system based on graph neural network
Yan Wang,
Wei Yu,
Lianqiang Niu
Abstract:before the graph neural network session recommendation system in order to ensure that the model can not smooth, and ignore the project long distance dependence, and most of the recommended method ignore the project sequence relationship, usually the session in the last project as the user's final interest, and lead to the session understanding is not comprehensive. In view of the above problems, this paper proposes a graph neural network recommendation method with sequence network. The main idea of this method… Show more
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