| 移动环境下个性化新闻推荐系统研究 |
| |
| 引用本文： | 郑敏娇,贾蓓,凌艳香.移动环境下个性化新闻推荐系统研究[J].农业图书情报学刊,2019(1):69-73. |
| |
| 作者姓名： | 郑敏娇 贾蓓 凌艳香 |
| |
| 作者单位： | 国防科技大学信息通信学院 |
| |
| 摘 要： | 网络上时刻都有大量新闻不断涌现,为帮助手机用户在海量信息中快速准确获得感兴趣内容,文章提出一种移动环境下个性化新闻推荐系统并设计了系统构成,系统采用影响用户阅读选择的相关因素构建特征,并基于XGBoost算法构建个性化推荐模型。以期为后续研究提供借鉴或参考。
|
| 关 键 词： | 新闻资讯 个性化推荐 XGBoost |
Research on Personalized News Recommendation System in Mobile Environment |
| |
| ZHENG Minjiao,JIA Bei,LING Yanxiang.Research on Personalized News Recommendation System in Mobile Environment[J].Journal of Library and Information Sciences in Agriculture,2019(1):69-73. |
| |
| Authors: | ZHENG Minjiao JIA Bei LING Yanxiang |
| |
| Institution: | (School of Information and Communications, National University of Defense Technology, Shaanxi Xi'an 710106, China) |
| |
| 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. |
| |
| Keywords: | news personalized recommendation XGBoost |
| 本文献已被 维普 等数据库收录！ |
|
