【作者单位】11 College of Computer Science and Technology,Taiyuan Normal University,Jinzhong,Shanxi 030619,China;2 College of Information and Computer,Taiyuan University of Technology,Taiguan 030600,China;3 School of Software Engineering,South China University of Technology,Guangzhou 510006,China;4 Information Engineering College,Jiangxi University of Technology,Nanchang 330098,China
【年份】2022
【卷号】Vol.49 No.10
【页码】126-131
【ISSN】1002-137X
【关键词】recommendation system user preference convolutional neural network interactive-attention mechanism contextual features
【摘要】 In order to capture the dynamic interaction between users and items during online shopping and improve the accuracy of recommendation systems,a user rating prediction method combining user preference and item attractiveness is proposed.The reviews ar...
