Incorporating concept-based match into fuzzy production rules
Information Sciences: an International Journal
Building Intelligent Agents: An Apprenticeship Multistrategy Learning Theory, Methodology, Tool and Case Studies
Personalization of Supermarket Product Recommendations
Data Mining and Knowledge Discovery
Mining customer product ratings for personalized marketing
Decision Support Systems - Special issue: Web data mining
E-learning personalization based on itineraries and long-term navigational behavior
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
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In this paper we describe a personal e-learning recommender system called School e-Guide for tracking the navigational behavior of the learners in a typical e-learning environment. The system integrates with web-based learning management systems compatible with the SCORM e-learning standard. It consists of a data miner that receives students', lessons', courses', classes' and the school's profiles and tracked data from the learning management system and analyzes these data in aim to predict possible problems (if any), features and evaluations of students, lessons, courses, classes, and the school. Next, the data miner sends its predictions (rules) to an intelligent agent, which in turn aims to verify the predictions of the data miner and to suggest solutions to the problems (if any) and/or suitable actions (if needed) according to those features and evaluations. The system is designed, implemented and tested in a real environment.