Personalized popular blog recommender service for mobile applications

Pei Yun Tsai*, Duen-Ren Liu

*此作品的通信作者

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題E-Commerce and Web Technologies - 10th International Conference, EC-Web 2009, Proceedings
頁面2-13
頁數12
DOIs
出版狀態Published - 4 11月 2009
事件10th International Conference on E-Commerce and Web Technologies, EC-Web 2009 - Linz, Austria
持續時間: 1 9月 20094 9月 2009

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5692 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference10th International Conference on E-Commerce and Web Technologies, EC-Web 2009
國家/地區Austria
城市Linz
期間1/09/094/09/09

指紋

深入研究「Personalized popular blog recommender service for mobile applications」主題。共同形成了獨特的指紋。

引用此