{"title":"嵌入社交网络的长尾分销金融推荐系统","authors":"Igor Klioutchnikov, A. Klioutchnikova","doi":"10.5171/2022.165496","DOIUrl":null,"url":null,"abstract":"Modern financial recommender systems of online social networks have switched to using extended databases that take into account not only mass and typical, but also peripheral and personalized requests of network users. Such systems use ‘long-tail’ technology.","PeriodicalId":187676,"journal":{"name":"Communications of the IBIMA","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Long-Tail Distribution Financial Recommender Systems Embedded into Social Networks\",\"authors\":\"Igor Klioutchnikov, A. Klioutchnikova\",\"doi\":\"10.5171/2022.165496\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern financial recommender systems of online social networks have switched to using extended databases that take into account not only mass and typical, but also peripheral and personalized requests of network users. Such systems use ‘long-tail’ technology.\",\"PeriodicalId\":187676,\"journal\":{\"name\":\"Communications of the IBIMA\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications of the IBIMA\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5171/2022.165496\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications of the IBIMA","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5171/2022.165496","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Long-Tail Distribution Financial Recommender Systems Embedded into Social Networks
Modern financial recommender systems of online social networks have switched to using extended databases that take into account not only mass and typical, but also peripheral and personalized requests of network users. Such systems use ‘long-tail’ technology.
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