Fab: content-based, collaborative recommendation
Communications of the ACM
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
IR evaluation methods for retrieving highly relevant documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Social Networks: From the Web to the Enterprise
IEEE Internet Computing
Computer
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
NeuroGrid: Semantically Routing Queries in Peer-to-Peer Networks
Revised Papers from the NETWORKING 2002 Workshops on Web Engineering and Peer-to-Peer Computing
Finding recent frequent itemsets adaptively over online data streams
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Retrieval evaluation with incomplete information
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Visualized Online Simple Sequencing Authoring Tool for SCORM-Compliant Content Package
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Google's PageRank and Beyond: The Science of Search Engine Rankings
Google's PageRank and Beyond: The Science of Search Engine Rankings
On neighbor-selection strategy in hybrid peer-to-peer networks
Future Generation Computer Systems - Systems performance analysis and evaluation
A Learning Objects Recommendation Model based on the Preference and Ontological Approaches
ICALT '06 Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies
Multi-dimensional regression analysis of time-series data streams
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Interpreting TF-IDF term weights as making relevance decisions
ACM Transactions on Information Systems (TOIS)
Discovering and Explaining Abnormal Nodes in Semantic Graphs
IEEE Transactions on Knowledge and Data Engineering
Relevance Ranking Metrics for Learning Objects
IEEE Transactions on Learning Technologies
An Implementation of the CORDRA Architecture Enhanced for Systematic Reuse of Learning Objects
IEEE Transactions on Knowledge and Data Engineering
RoleNet: movie analysis from the perspective of social networks
IEEE Transactions on Multimedia - Special issue on integration of context and content
Personalized Email Prioritization Based on Content and Social Network Analysis
IEEE Intelligent Systems
Blog Popularity Mining Using Social Interconnection Analysis
IEEE Internet Computing
Ranking Metrics and Search Guidance for Learning Object Repository
IEEE Transactions on Learning Technologies
Self-Organizing and Adaptive Peer-to-Peer Network
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Particle Swarm Optimization With Recombination and Dynamic Linkage Discovery
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Semantic social overlay networks
IEEE Journal on Selected Areas in Communications
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Sharing resources and information on the Internet has become an important activity for education. In distance learning, instructors can benefit from resources, also known as Learning Objects (LOs), to create plenteous materials for specific learning purposes. Our repository (called the MINE Registry) has been developed for storing and sharing learning objects, around 22,000 in total, in the past few years. To enhance reusability, one significant concept named Reusability Tree was implemented to trace the process of changes. Also, weighting and ranking metrics have been proposed to enhance the searchability in the repository. Following the successful implementation, this study goes further to investigate the relationships between LOs from a perspective of social networks. The LONET (Learning Object Network), as an extension of Reusability Tree, is newly proposed and constructed to clarify the vague reuse scenario in the past, and to summarize collaborative intelligence through past interactive usage experiences. We define a social structure in our repository based on past usage experiences from instructors, by proposing a set of metrics to evaluate the interdependency such as prerequisites and references. The structure identifies usage experiences and can be graphed in terms of implicit and explicit relations among learning objects. As a practical contribution, an adaptive algorithm is proposed to mine the social structure in our repository. The algorithm generates adaptive routes, based on past usage experiences, by computing possible interactive input, such as search criteria and feedback from instructors, and assists them in generating specific lectures.