Full metadata record
DC FieldValueLanguage
dc.contributor.authorTsai, Pei-Yunen_US
dc.contributor.authorLiu, Duen-Renen_US
dc.date.accessioned2014-12-08T15:22:14Z-
dc.date.available2014-12-08T15:22:14Z-
dc.date.issued2009en_US
dc.identifier.isbn978-3-642-03963-8en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/11536/15741-
dc.description.abstractWeblogs 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.en_US
dc.language.isoen_USen_US
dc.subjectMobile Serviceen_US
dc.subjectBlogen_US
dc.subjectRecommender Systemen_US
dc.subjectTime-Sensitive Topicen_US
dc.titlePersonalized Popular Blog Recommender Service for Mobile Applicationsen_US
dc.typeProceedings Paperen_US
dc.identifier.journalE-COMMERCE AND WEB TECHNOLOGIES, PROCEEDINGSen_US
dc.citation.volume5692en_US
dc.citation.spage2en_US
dc.citation.epage13en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000272340900001-
Appears in Collections:Conferences Paper