{"title":"基于特征选择的在线社交网络好友推荐机制研究","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":"{\"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}","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}
An assessment of feature selection based mechanism to recommend friends in online social networks
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.