The aether soon will be pervaded with a high density of digital services for usage on mobile phones. Personalization plays a crucial role for the success and acceptance of such sy...
Recommender systems evaluate and filter the great amount of information available on the Web to assist people in their search processes. A fuzzy linguistic evaluation method of We...
Enrique Herrera-Viedma, Eduardo Peis, Jesus Canelo...
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
In this poster, we will propose a framework for finding, recommending and inserting learning objects in a digital repository level, exploiting the user context that is captured fro...
Using the application programming interfaces (API) of large software systems requires developers to understand details about the interfaces that are often not explicitly defined. ...