文章基本信息

标题：A MULTI-LAYERED ADS RECOMMENDATION FRAMEWORK CONSIDERING USER PREFERENCE AND BEHAVIOR
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作者：SU-YEON KIM ; SANG HOON LEE
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：5
出版社：Journal of Theoretical and Applied
摘要：In this study, we designed an advertisement recommendation framework taking into account the interests of users through utilizing their user profiles, preferences and responses to contents and advertisements. This is to address the issue on advertisement nuisance to users when using a content service that has advertisements before or during a content viewing. This kind of marketing strategy of content providers aims to generate more revenues, however, on the user�s side, it does not give any convenience which turned out to be a customer unfriendly attribute. Therefore, the purpose of this study is to extract user�s preference and behavior information and place it in the middle of content viewing to minimize the user�s negative approach towards advertisement serving its purpose and maximizing its effectiveness.
关键词：Multi-Layered Ads Recommendation; User Preference; Content-Based Filtering; Collaborative Filtering; RFM Analysis