Publication: Application of Machine Learning to Create a Recommendation in Social Communication Based on Data Analysis
Дата
2021
Авторы
Bloshenkina, A. A.
Tcyguleva, K. V.
Цыгулева, Ксения Владимировна
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Аннотация
© 2021 IEEE.This article discusses the solution to the problem of social interactions caused by the transition of all communication processes to the digital space. The social network Tinder was chosen as the main platform for research, the work with the API of which is discussed in the article. The paper investigates methods for assessing profiles based on user preferences and message generation. These software functions are aimed at helping the user in the process of finding an interlocutor. In the study, convolutional neural network architectures are used to analyze user photos by several parameters, the results of which, together with the semantic analysis of the profile text information, form the basis for generating the text of the first message. As a result of the research, software was obtained that can simplify the user's interaction with the social network Tinder.
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Цитирование
Bloshenkina, A. A. Application of Machine Learning to Create a Recommendation in Social Communication Based on Data Analysis / Bloshenkina, A.A., Tcyguleva, K.V. // Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021. - 2021. - P. 241-245. - 10.1109/ElConRus51938.2021.9396507
URI
https://www.doi.org/10.1109/ElConRus51938.2021.9396507
https://www.scopus.com/record/display.uri?eid=2-s2.0-85104697349&origin=resultslist
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https://openrepository.mephi.ru/handle/123456789/24038
https://www.scopus.com/record/display.uri?eid=2-s2.0-85104697349&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000669709800055
https://openrepository.mephi.ru/handle/123456789/24038