Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
An information-theoretic perspective of tf—idf measures
Information Processing and Management: an International Journal
Adaptive User Modeling for Filtering Electronic News
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 4 - Volume 4
Analysis of SIGMOD's co-authorship graph
ACM SIGMOD Record
A generic ranking function discovery framework by genetic programming for information retrieval
Information Processing and Management: an International Journal
Automating metadata generation: the simple indexing interface
WWW '05 Proceedings of the 14th international conference on World Wide Web
Query chains: learning to rank from implicit feedback
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Information Processing and Management: an International Journal
Repurposing learning object components
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
Capture of Lifecycle Information to Support Personal Information Management
EC-TEL '08 Proceedings of the 3rd European conference on Technology Enhanced Learning: Times of Convergence: Technologies Across Learning Contexts
Building an Arabic learning object repository with an ad hoc recommendation engine
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Capture of lifecycle information in office applications
International Journal of Technology Enhanced Learning
A new paradigm of ranking & searching in learning object repository
Proceedings of the second ACM international workshop on Multimedia technologies for distance leaning
How to share and reuse learning resources: the ARIADNE experience
EC-TEL'10 Proceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice
A Specialized Search Assistant for Learning Objects
ACM Transactions on the Web (TWEB)
Attention please!: learning analytics for visualization and recommendation
Proceedings of the 1st International Conference on Learning Analytics and Knowledge
EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale
Capturing, management and utilization of lifecycle information for learning resources
EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale
Relevance ranking metrics for learning objects
EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale
Evaluating the ALOCOM approach for scalable content repurposing
EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale
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The tools used to search and find Learning Objects in different systems do not provide a meaningful and scalable way to rank or recommend learning material. This work propose and detail the use of Contextual Attention Metadata, gathered from the different tools used in the lifecycle of the Learning Object, to create ranking and recommending metrics to improve the user experience. Four types of metrics are detailed: Link Analysis Ranking, Similarity Recommendation, Personalized Ranking and Contextual Recommendation. While designed for Learning Objects, it is shown that these metrics could also be applied to rank and recommend other types of reusable components like software libraries.