PROJECT TITLE :

Creating Usage Context-Based Object Similarities to Boost Recommender Systems in Technology Enhanced Learning

ABSTRACT:

In this paper, we have a tendency to introduce a replacement way of detecting semantic similarities between learning objects by analysing their usage in web portals. Our approach depends on the usage-based relations between the objects themselves rather then on the content of the educational objects or on the relations between users and learning objects. We then take this new similarity measure to boost existing recommendation approaches for the employment in technology enhanced learning.