User Recommender based on information from forums

SILVANA ACIAR; GABRIELA ACIAR; CESAR COLLAZO; CARINA GONZALEZ

Tenerife

Congreso; Interacción '14 XV International Conference on Human Computer Interaction; 2014

This paper proposes: a tool for virtual learning platforms that recommends users who know about a particular subject; a new recommender method that takes into account the users' knowledge about a subject and their future availability based on past interactions and a text mining method to obtain user information from forums. A user recommender system was implemented in the Moodle platform to demonstrate the feasibility of the proposal.