{"title":"An assessment of feature selection based mechanism to recommend friends in online social networks","authors":"Sanjeev Dhawan, Kulvinder Singh, Ashutosh Jain","doi":"10.1109/ICRITO.2017.8342513","DOIUrl":null,"url":null,"abstract":"In online social networks billions of people connect with each other. They join different groups based on their interests and also recommended by their friends. To recommend a friend a friend recommendation system is used. Recommending a friend to join a group and add a new friend is very complex. In this paper an attempt has been made to describe the friend recommendation techniques and methodologies efficiently. Work done by various researchers is presented and a cohesive approach for friend recommendation is proposed to recommend friends in Twitter and a comparison of the existing method with proposed algorithm is presented.","PeriodicalId":357118,"journal":{"name":"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRITO.2017.8342513","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 online social networks billions of people connect with each other. They join different groups based on their interests and also recommended by their friends. To recommend a friend a friend recommendation system is used. Recommending a friend to join a group and add a new friend is very complex. In this paper an attempt has been made to describe the friend recommendation techniques and methodologies efficiently. Work done by various researchers is presented and a cohesive approach for friend recommendation is proposed to recommend friends in Twitter and a comparison of the existing method with proposed algorithm is presented.