Modern Information Retrieval
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Item-based top-N recommendation algorithms
ACM Transactions on Information Systems (TOIS)
Data Mining: A Knowledge Discovery Approach
Data Mining: A Knowledge Discovery Approach
Supporting Collaborative Learning With An Intelligent Web-Based System
International Journal of Artificial Intelligence in Education
Awareness and collaboration in the ihelp courses content management system
EC-TEL'06 Proceedings of the First European conference on Technology Enhanced Learning: innovative Approaches for Learning and Knowledge Sharing
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
SPRITS: secure pedagogical resources in intelligent tutoring systems
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Combining ITS and elearning technologies: opportunities and challenges
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
A Kohonen Network for Modeling Students' Learning Styles in Web 2.0 Collaborative Learning Systems
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
Expert Systems with Applications: An International Journal
Recommending additional study materials: binary ratings vis-à-vis five-star ratings
BCS-HCI '13 Proceedings of the 27th International BCS Human Computer Interaction Conference
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Today, learners have access to a wide range of sources where they regularly search for, find and use learning resources outside the scope of regular course material. Although E-learning systems offer a variety of tools and functionalities, there are no specific provisions for learners to easily store and share these valuable resources. In this work we present SHAREK, a Web2.0 inspired approach to allow learners to store and share their resources. Specifically, SHAREK combines Artificial Intelligence techniques, such as Recommendation Systems and Information Retrieval with Web2.0 technologies, including RSS and tagging to allow easy sharing of resources and knowledge. Finally, we report on the implementation and validation of SHAREK.