The measurement of end-user computing satisfaction
MIS Quarterly
A probabilistic approach to spatiotemporal theme pattern mining on weblogs
Proceedings of the 15th international conference on World Wide Web
Blog as a Tool to Develop e-Learning Experience in an International Distance Course
ICALT '06 Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies
A comparison of feature selection methods for an evolving RSS feed corpus
Information Processing and Management: an International Journal - Special issue: Informetrics
An intelligent human-expert forum system based on fuzzy information retrieval technique
Expert Systems with Applications: An International Journal
Machine learning techniques for business blog search and mining
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A tabu search approach to generating test sheets for multiple assessment criteria
IEEE Transactions on Education
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Factors influencing secondary school teachers' adoption of teaching blogs
Computers & Education
Personalized recommendation of popular blog articles for mobile applications
Information Sciences: an International Journal
Intelligent computer assisted blog writing system
Expert Systems with Applications: An International Journal
Proceedings of the 12th International Conference on Electronic Commerce: Roadmap for the Future of Electronic Business
Understanding promotions in a case study of student blogging
Proceedings of the Third International Conference on Learning Analytics and Knowledge
Using a combined AHP and PLS path modelling on blog site evaluation in Taiwan
Computers in Human Behavior
Hi-index | 12.06 |
In recent years blog-assisted learning has been used widely in higher education for improving writing and collaboratively sharing work online. However, methods for gathering useful information to be used as auxiliary-learning materials from the multitude of blog articles in the blogosphere has been seldom investigated. This paper proposes an individualized blog article recommendation mechanism to provide quality blog articles that accord with users' learning topics. First, an IR-based technique was applied to extract and score index terms. The top three index terms were then entered into Google's blog search engine to find the raw recommended blog articles. To avoid the situation where frequent topic-changing leads to a deficiency of article data on a specific learning topic, a forgetting rate was employed to simulate the phenomenon of changing learning topics. Subsequently, an extended Serial Blog Article Composition Particle Swarm Optimization (SBACPSO) algorithm was employed to provide optimal recommended materials to users. We evaluated the system's performance to find the appropriate article population size. Finally, user satisfaction regarding both the system and recommended content were gauged to find the system's limitations and possible improvements. This study is of importance in that it provides users with dynamic blog article recommendation, improved online information discovery skills and opportunities to socialize with other bloggers.