Profiled Search Methods for e-Learning Systems

Most currently used e-Learning Systems do not often offer search functionality. Even if methods are provided to search for Learning Objects (LOs), they don’t usually utilize information about users’ interests stored in their profiles. Moreover, most of the search engines are only use query conformity to order the result list. User profiling methods are usually absent, as behaviour analysis methods are difficult to implement in specialised e-Learning systems. In this paper, a new approach for profiled search, which enables better adjustment of the order of results for end-users’ expectations is proposed. It is related to the situation when both LOs and users profile descriptions are standardized.