Communications of the ACM
Supporting social navigation on the World Wide Web
International Journal of Human-Computer Studies - Special issue: innovative applications of the World Wide Web
ACM Computing Surveys (CSUR)
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
On the bursty evolution of blogspace
WWW '03 Proceedings of the 12th international conference on World Wide Web
Information diffusion through blogspace
Proceedings of the 13th international conference on World Wide Web
Structure and evolution of blogspace
Communications of the ACM - The Blogosphere
The predictive power of online chatter
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
A probabilistic approach to spatiotemporal theme pattern mining on weblogs
Proceedings of the 15th international conference on World Wide Web
Information Architecture for the World Wide Web
Information Architecture for the World Wide Web
User Modeling for Recommendation in Blogspace
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Identifying agitators as important blogger based on analyzing blog threads
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
Who resemble you better, your friends or co-visited users
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Proceedings of the 12th International Conference on Electronic Commerce: Roadmap for the Future of Electronic Business
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Weblogs have emerged as a new communication and publication medium on the Internet for diffusing the latest useful information. Providing value-added mobile services such as blog articles is increasingly important to attract mobile users to mobile commerce. There are, however, a tremendous number of blog articles, and mobile users generally have difficulty in browsing weblogs. Accordingly, providing mobile users with blog articles that suit their interests is an important issue. Very little research, however, focuses on this issue. In this work, we propose a Customized Content Service on a mobile device (m-CCS) to filter and push blog articles to mobile users. The m-CCS can predict the latest popular blog topics by forecasting the trend of time-sensitive popularity of weblogs. Furthermore, to meet the diversified interest of mobile users, m-CCS further analyzes users' browsing logs to derive their interests, which are then used to recommend their preferred popular blog topics and articles. The prototype system of m-CCS demonstrates that the system can effectively recommend mobile users desirable blog articles with respect to both popularity and personal interests.