| 摘 要: 为了满足人们能快速、准确地获取个人最关心的教育类新闻的实际需求，本文提出了一种面向个性化推 荐的教育新闻爬取及展示系统。本系统采用主题爬虫技术，在对爬取策略及爬取内容进行文本解析的基础上，获取教育 新闻数据。结合用户需求特征，利用协同过滤的推荐策略，生成满足不同用户需求的个性化页面，并以词云和列表的形 式展示给用户。该系统为人们获取最具时效性的教育新闻信息提供了一种可行的途径。 |
| 关键词: 个性化推荐；教育新闻；主题爬虫；词云 |
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中图分类号: TP319
文献标识码: A
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| 基金项目: 本文系2017年国家级大学生创新创业训练计划项目：面向教育新闻热点信息的爬取与展示系统设计与实现(项目编号：201711551003)；重庆科技学院研究生科技创新 计划项目：基于深度学习的课堂氛围评估系统设计(项目编号：YKJCX1720411)的研究成果之一. |
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| The Personalized Recommendation-Oriented Education News Crawling and Displaying System |
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LIU Can,REN Jianyu,LI Wei,ZHANG Qiangqiang
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( Chongqing University of Science and Technology, Chongqing 401331, China)
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| Abstract: In order to meet the actual needs of people who can quickly and accurately obtain the education news that individuals are most concerned about,we propose a customized crawling and displaying system for education news. Based on the text analysis mechanism of crawling strategy and crawling content,this system obtains the educational news data,combines the characteristics of user needs,and uses the recommendation strategy of collaborative filtering to generate a personalized page that meets the needs of different users,and presents the page to users in the form of word clouds and lists. The system provides a viable way for people to obtain the most up-to-date educational news information. |
| Keywords: personalized recommendation;education news;topical crawler;word cloud |
