Recommendation plugin to facilitate student learning of the platform e-learning

The objective of this work is the conception and the realization of a recommendatory system, using concepts of the web usage mining and being inspired by approaches to information filtering. This system will propose to the Webmaster (or admin) from a platform for distance learning the best documents available on the web basis on the historical research done by learners. It is, actually a meta-search engine on the web, integrated into the e-learning platform to keep surfing traces of the learner during his searching. This will permit to have a usage basis that will be used by the system to help webmaster (admin) to make decisions about the documents to be added to the platform. The elaborated system will make it passible to propose help and assistance to learners of the platform.