Personalized popular blog recommender service for mobile applications

Pei Yun Tsai*, Duen-Ren Liu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationE-Commerce and Web Technologies - 10th International Conference, EC-Web 2009, Proceedings
Pages2-13
Number of pages12
DOIs
StatePublished - 4 Nov 2009
Event10th International Conference on E-Commerce and Web Technologies, EC-Web 2009 - Linz, Austria
Duration: 1 Sep 20094 Sep 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5692 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on E-Commerce and Web Technologies, EC-Web 2009
CountryAustria
CityLinz
Period1/09/094/09/09

Keywords

  • Blog
  • Mobile Service
  • Recommender System
  • Time-Sensitive Topic

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