{"title":"基于模糊逻辑的推荐系统研究","authors":"D. K. Yadav, R. Katarya","doi":"10.1109/ICCMC.2018.8487669","DOIUrl":null,"url":null,"abstract":"Recommender System is a software tool that provides valuable guidance for item or service selected by the user. With the rapid growth of online sales, a recommender system is frequently used for commercial and research purpose. In the traditional approach, a recommendation for an item can be interested or non-interested. So, the concept of fuzzy logic simulates flexible inference of human behavior. This paper presents a review of the recommender system using fuzzy logic.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"107 1","pages":"50-54"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Study on Recommender System using Fuzzy Logic\",\"authors\":\"D. K. Yadav, R. Katarya\",\"doi\":\"10.1109/ICCMC.2018.8487669\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recommender System is a software tool that provides valuable guidance for item or service selected by the user. With the rapid growth of online sales, a recommender system is frequently used for commercial and research purpose. In the traditional approach, a recommendation for an item can be interested or non-interested. So, the concept of fuzzy logic simulates flexible inference of human behavior. This paper presents a review of the recommender system using fuzzy logic.\",\"PeriodicalId\":6604,\"journal\":{\"name\":\"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)\",\"volume\":\"107 1\",\"pages\":\"50-54\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCMC.2018.8487669\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMC.2018.8487669","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recommender System is a software tool that provides valuable guidance for item or service selected by the user. With the rapid growth of online sales, a recommender system is frequently used for commercial and research purpose. In the traditional approach, a recommendation for an item can be interested or non-interested. So, the concept of fuzzy logic simulates flexible inference of human behavior. This paper presents a review of the recommender system using fuzzy logic.