作者
Dongsheng Li, Qin Lv, Xing Xie, Li Shang, Huanhuan Xia, Tun Lu, Ning Gu
发表日期
2012/4/1
期刊
Knowledge-based systems
卷号
28
页码范围
1-12
出版商
Elsevier
简介
The fast-growing popularity of online social communities and the massive amounts of user-generated content pose a critical need for, and new challenges on, content recommender system. The system needs to identify the unique and diverse interests of individual users and deliver content to interested users on a real-time basis. In this work, we propose Farseer, a system for personalized real-time content recommendation and delivery in online social communities. The proposed solution consists of a set of integrated offline and online algorithms that identify and utilize unique item-based interest clusters and cluster-based item rating in order to recommend newly-generated content items to individual users in real time. Our main contributions are (1) a detailed analysis of content popularity distribution and user interest distribution in online social communities; (2) a novel interest-based clustering and cluster-based …
学术搜索中的文章
D Li, Q Lv, X Xie, L Shang, H Xia, T Lu, N Gu - Knowledge-based systems, 2012