{"title":"Article Recommender for Feed Readers with a Loss Compensation Based on the TF-IDF Weight","authors":"Daichi Yokota, S. Fujita","doi":"10.1109/IC-NC.2010.21","DOIUrl":null,"url":null,"abstract":"In this paper, we improve the accuracy of item-based collaborative filtering by introducing a loss compensation based on the TF-IDF weight. The proposed scheme is implemented as a part of a feed reader, and is evaluated through the feedback from users.","PeriodicalId":375145,"journal":{"name":"2010 First International Conference on Networking and Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 First International Conference on Networking and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC-NC.2010.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we improve the accuracy of item-based collaborative filtering by introducing a loss compensation based on the TF-IDF weight. The proposed scheme is implemented as a part of a feed reader, and is evaluated through the feedback from users.
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