TY - GEN
T1 - Personalized popular blog recommender service for mobile applications
AU - Tsai, Pei Yun
AU - Liu, Duen-Ren
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Blog
KW - Mobile Service
KW - Recommender System
KW - Time-Sensitive Topic
UR - http://www.scopus.com/inward/record.url?scp=70350491231&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-03964-5_2
DO - 10.1007/978-3-642-03964-5_2
M3 - Conference contribution
AN - SCOPUS:70350491231
SN - 3642039634
SN - 9783642039638
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 2
EP - 13
BT - E-Commerce and Web Technologies - 10th International Conference, EC-Web 2009, Proceedings
PB - Springer Verlag
T2 - 10th International Conference on E-Commerce and Web Technologies, EC-Web 2009
Y2 - 1 September 2009 through 4 September 2009
ER -