{"title":"Predicting the Future of the Products Based on User Preference Models and Rating Indicators","authors":"Juncheng Chen","doi":"10.1109/ICCSMT54525.2021.00009","DOIUrl":null,"url":null,"abstract":"With the rapid development of Internet technology, consumers have gradually become online shoppers. Push technology of user preferences are increasingly important. According to the user data of online shopping platform, this paper uses the user preference model to process the text data, obtains the correlation analysis between product reputation and user purchase success, and obtains the product rating index.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSMT54525.2021.00009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid development of Internet technology, consumers have gradually become online shoppers. Push technology of user preferences are increasingly important. According to the user data of online shopping platform, this paper uses the user preference model to process the text data, obtains the correlation analysis between product reputation and user purchase success, and obtains the product rating index.