摘要
随着计算机技术的发展和完善,网络传播已成为人们日常生活中获取新闻信息的重要手段。基于个人兴趣的新闻推送网站具有传统新闻推送网站的基本功能,采用协同过滤算法可以根据用户的浏览习惯等数据计算出用户感兴趣的新闻,根据兴趣相同或相近的用户群的共同喜好为新用户或群内其他用户定向推送潜在新闻,以满足用户的阅读要求。
With the development and perfection of computer technology,network communication has become an important means of getting news information in people's daily life.News push websites based on personal interests have the basic functions of traditional news push websites.Collaborative filtering algorithm can calculate the news that users are interested in according to the data of users^browsing habits and other data.According to the common preferences of users with the same or similar interests,the potential new users or other users within the group can be targeted to push new ones.Wen,in order to meet the user^s reading requirements.
作者
傅宏智
王静玉
Fu Hongzhi;Wang Jingyu(Department of Computer Engineering, Taiyuan Institute of Technology, Taiyuan Shanxi 030008, China)
出处
《信息与电脑》
2018年第23期73-74,共2页
Information & Computer
关键词
协同过滤
兴趣
新闻推送
collaborative filtering
interest
news push-delivery
