移动新闻推荐技术及其应用研究综述

发布时间：2019-06-26 13:26

【摘要】：随着移动设备的普及和新闻读者群体人数的不断增加,移动新闻推荐已经成为移动推荐领域的热点之一.如何根据移动设备和新闻特点进行移动新闻推荐,以提高推荐性能和用户满意度,成为移动新闻推荐系统的主要任务.文中概括分析了移动新闻推荐的研究现状,并指出其与传统新闻推荐、其他移动推荐之间的区别.从新闻表示方法,移动用户新闻偏好获取,上下文感知的移动新闻推荐技术,基于社会化网络的移动新闻推荐技术,移动新闻展示以及典型应用等六个关键方面,对移动新闻推荐领域的最新研究成果进行了详细的比较、分析和总结.文中还从重点、难点两个方面讨论分析了移动新闻推荐系统面临的挑战.并指出为了进一步发展移动新闻推荐系统,未来还需要在数据集获取,效用评估,结合移动社会化网络,安全问题,形式化描述等方面深入开展一些研究工作.
[Abstract]:With the popularity of mobile devices and the increasing number of news readers, mobile news recommendation has become one of the hotspots in the field of mobile recommendation. How to recommend mobile news according to the characteristics of mobile devices and news, in order to improve the recommendation performance and user satisfaction, has become the main task of mobile news recommendation system. In this paper, the research status of mobile news recommendation is summarized and analyzed, and the difference between mobile news recommendation and traditional news recommendation and other mobile recommendation is pointed out. This paper makes a detailed comparison, analysis and summary of the latest research results in the field of mobile news recommendation from six key aspects: news representation method, mobile user news preference acquisition, context-aware mobile news recommendation technology, mobile news recommendation technology based on social network, mobile news display and typical applications. This paper also discusses and analyzes the challenges faced by mobile news recommendation system from two aspects: key points and difficulties. It is pointed out that in order to further develop the mobile news recommendation system, some research work needs to be carried out in the future in the aspects of data set acquisition, utility evaluation, combined with mobile social network, security problems, formal description and so on.
【作者单位】： 北京邮电大学智能通信软件与多媒体北京市重点实验室;北京邮电大学计算机学院;
【基金】：国家自然科学基金(60872051) 北京市教育委员会共建项目专项资助
【分类号】：TP391.3
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本文编号：2506215