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

Weijia Zhang,Feng Ling,Yinghui Ye

doi:10.1155/2021/7072849

Weijia Zhang, Feng Ling + Show 1 more

Open Access

https://doi.org/10.1155/2021/7072849

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Abstract

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.

Highlights

With the continuous development of the Internet, the mode or speed of information transmission has undergone earthshaking changes
In order to solve the shortcomings of the above recommendation, this paper designs a news recommendation system based on deep network and personalized needs
In order to solve the problem of a deep network and personalized demand, resulting in the poor performance of the news recommendation system, a news recommendation system is proposed

Summary

Introduction

With the continuous development of the Internet, the mode or speed of information transmission has undergone earthshaking changes. The key research contents include proposing a personalized news recommendation model, improving traditional collaborative filtering algorithm, and realizing a personalized news recommendation system combined with a mobile platform. In order to solve the shortcomings of the above recommendation, this paper designs a news recommendation system based on deep network and personalized needs. 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.

Experimental Analysis

Findings

Conclusion