Searching for and retrieval of Learning Objects in e-learning environments is a complex assignment for instructors and students. Generally, the search results include several Learning Objects and the ranking criteria are not always clear (keyword frequency, date updating, user profile similarity, etc.). This means that selection of the best Learning Object for a specific use requires a lot of effort and time. This paper proposes a hybrid recommendation method to assist users in the search and selection processes in Learning Objects Repositories. The intended method uses a combination of different filtering techniques, such as content comparison, and collaborative and demographic searches. To achieve this goal, metadata information, management activities of resources and user profiles are used. The hybrid recommendation method has been implemented in a search system called DELPHOS.

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Learning Object IEEE-LOM Pedagogical Quality