【作者单位】1 College of Computer Science and Technology,Taiyuan Normal University
【年份】2022
【卷号】Vol.49 No.10
【页码】126
【ISSN】1002-137X
【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...
