K. Shah, Akshaykumar Salunke, S. Dongare, Kisandas Antala
{"title":"Recommender systems: An overview of different approaches to recommendations","authors":"K. Shah, Akshaykumar Salunke, S. Dongare, Kisandas Antala","doi":"10.1109/ICIIECS.2017.8276172","DOIUrl":null,"url":null,"abstract":"This paper presents an overview of the field of recommender systems and describes the present generation of recommendation methods. Recommender systems or recommendation systems (RSs) are a subset of information filtering system and are software tools and techniques providing suggestions to the user according to their need. Many popular Ecommerce sites widely use RSs to recommend news, music, research articles, books, and product items. Recommendation systems use personal, implicit and local information from the Internet. This paper attempts to describe various limitations of recommendation methods and their advantages.","PeriodicalId":215356,"journal":{"name":"2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"66","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIIECS.2017.8276172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 66
Abstract
This paper presents an overview of the field of recommender systems and describes the present generation of recommendation methods. Recommender systems or recommendation systems (RSs) are a subset of information filtering system and are software tools and techniques providing suggestions to the user according to their need. Many popular Ecommerce sites widely use RSs to recommend news, music, research articles, books, and product items. Recommendation systems use personal, implicit and local information from the Internet. This paper attempts to describe various limitations of recommendation methods and their advantages.