In previous work, we suggested a model driven approach allowing for tracking and management of both learning objects' usage and content-related activities of users involved in a wide-distributed Webbased Learning Environment. Here we present an extension of our previous model in order to provide end-users with a personalized search tool. This application recommends learning resources according to their preferences and does not require users to fill in an electronic form; the tool also offers them the opportunity to review learning content by adding tags, comments and ratings. Moreover, work is in progress to automate execution of actions that will facilitate users to be up-to-date with new learning resources matching with their preferences and created by the whole community of actors involved in the learning environment.