首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Context-aware recommendation in mobile environments: An approach based on interest resonance
Authors:Deqiang Cao  Wenhui Nie  Ruiyuan Li  Zhihao Li  Tian Wang  Cheng Zeng
Institution:1. School of Computer, Wuhan University, Wuhan, 430072, Hubei, China
Abstract:The recommendation system can efficiently solve the information overload in mobile Internet. Thus, how to effectively utilize context information to improve the accuracy of recommendation becomes the research focus in the field. This article puts forward a novel approach to realize the context-aware recommendation in mobile environments. It first gets users’ interest resonance with a hash-based interest resonance mining algorithm. Then, it calculates the association degree between the user and the item and then predicts the user’s rating on the item. Finally, it comprehensively figures out the recommending index. Moreover, this article also designs a personal recommendation model for the users and provides relevant decision-making coefficients. Experiments have demonstrated that our approach is superior to the traditional ones (RMP, RSTE, MD and BBBs) in both performance and efficiency.
Keywords:context-aware  interest resonance  recommendation
本文献已被 CNKI SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号