Application of News Features in NewsRecommendation Methods: A Survey

• 作者: Jing Qin Peng Lu
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 经济
• 关键词: News recommendation News features Recommendation system
• 年，卷（期）: 2020,（2）
• 页码范围: 113-125
• 页数: 13页
• 分类号: F42

摘要

In recent years, many traditional news websites developedcorresponding recommendation systems to cater to readers’ interestsand news recommendation systems are widely applied in traditional PCsand mobile devices. News recommendation system has become a criticalresearch hotspot in the field of recommendation system. As Newscontains more text information, it is more helpful to improve the recommendationeffect to obtain the content related to news features (location,time, events) from the news. This survey summarizes news features-basedrecommendation methods including location-based news recommendationmethods, time-based news recommendation methods, events-basednews recommendation methods. It helps researchers to know the applicationof news features in news recommendation methods. Also, thissuvery summarizes the challenges faced by the news recommendationsystem and the future research direction.