This paper proposes a system that encourages users to discover disciplines such as mathematics and biology, which they have not explored before. The recommendation of unexpected information is highly demanded in current recommender systems, are used various situations. To meet this need, the present study considers serendipitous discovery related interest users. Serendipity means ability see wh...

A recommender system, which might assist in providing clients with new information and a better experience, is becoming increasingly popular this era of modernization. Recommender systems are often used by various platforms to provide products consumers, may also help improving product sales. Additionally, the system essential academic domains. It common for users take while find access materia...

In this paper, we propose learners course recommender system of the E-Dirassa platform. This system, which distinguishes between new and active learners, adopts three complementary recommendation approaches: content-based as well course-based collaborative filtering for static profile-based learners. Let us also note use multi-criteria decision aid (MDA) techniques choice textual similarity mea...