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Agricultural Library and Information ›› 2019, Vol. 31 ›› Issue (1): 69-73.doi: 10.13998/j.cnki.issn1002-1248.2019.01.008

• Applied practice • Previous Articles    

Research on Personalized News Recommendation System in Mobile Environment

ZHENG Minjiao, JIA Bei, LING Yanxiang   

  1. School of Information and Communications, National University of Defense Technology, Shaanxi Xi'an 710106, China
  • Received:2018-07-09 Online:2019-01-05 Published:2019-03-12

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Abstract: There are a lot of news releases on the Internet all the times. To help mobile users get interesting content in the vast amounts of information more quickly and accurately, the paper proposed a personalized news recommendation system, and designed the system structure. The system constructs features based on relevant factors that affect user reading choices, and builds a personalized recommendation model based on XGBoost algorithm. The paper provides reference for subsequent research.

Key words: news, personalized recommendation, XGBoost

CLC Number: 

  • G203
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