{"title":"基于TF-IDF权重损失补偿的Feed阅读器文章推荐","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":"{\"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}","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}
Article Recommender for Feed Readers with a Loss Compensation Based on the TF-IDF Weight
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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