Research on News Recommendation System Based on Deep Network and Personalized Needs

In order to solve the problems of poor performance of the recommendation system caused by not considering the needs of users in the process of news recommendation, a news recommendation system based on deep network and personalized needs is proposed. Firstly, it analyzes the news needs of users, whi...

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Autores principales:	Weijia Zhang, Feng Ling
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology T Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/8b090cf80ce649cc8e09cb87bae83e0a
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spelling	oai:doaj.org-article:8b090cf80ce649cc8e09cb87bae83e0a2021-11-15T01:20:10ZResearch on News Recommendation System Based on Deep Network and Personalized Needs1530-867710.1155/2021/7072849https://doaj.org/article/8b090cf80ce649cc8e09cb87bae83e0a2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7072849https://doaj.org/toc/1530-8677In order to solve the problems of poor performance of the recommendation system caused by not considering the needs of users in the process of news recommendation, a news recommendation system based on deep network and personalized needs is proposed. Firstly, it analyzes the news needs of users, which is the basis of designing the system. The functions of the system module mainly include the network function module, database module, user management module, and news recommendation module. Among them, the user management module uses the deep network to set the user news interest model, inputs the news data into the model, completes the personalized needs of the news, and realizes the design of the news recommendation system. The experimental results show that the proposed system has good effect and certain advantages.Weijia ZhangFeng LingHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Telecommunication TK5101-6720
spellingShingle	Technology T Telecommunication TK5101-6720 Weijia Zhang Feng Ling Research on News Recommendation System Based on Deep Network and Personalized Needs
description	In order to solve the problems of poor performance of the recommendation system caused by not considering the needs of users in the process of news recommendation, a news recommendation system based on deep network and personalized needs is proposed. Firstly, it analyzes the news needs of users, which is the basis of designing the system. The functions of the system module mainly include the network function module, database module, user management module, and news recommendation module. Among them, the user management module uses the deep network to set the user news interest model, inputs the news data into the model, completes the personalized needs of the news, and realizes the design of the news recommendation system. The experimental results show that the proposed system has good effect and certain advantages.
format	article
author	Weijia Zhang Feng Ling
author_facet	Weijia Zhang Feng Ling
author_sort	Weijia Zhang
title	Research on News Recommendation System Based on Deep Network and Personalized Needs
title_short	Research on News Recommendation System Based on Deep Network and Personalized Needs
title_full	Research on News Recommendation System Based on Deep Network and Personalized Needs
title_fullStr	Research on News Recommendation System Based on Deep Network and Personalized Needs
title_full_unstemmed	Research on News Recommendation System Based on Deep Network and Personalized Needs
title_sort	research on news recommendation system based on deep network and personalized needs
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/8b090cf80ce649cc8e09cb87bae83e0a
work_keys_str_mv	AT weijiazhang researchonnewsrecommendationsystembasedondeepnetworkandpersonalizedneeds AT fengling researchonnewsrecommendationsystembasedondeepnetworkandpersonalizedneeds
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Research on News Recommendation System Based on Deep Network and Personalized Needs

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