Recomendador de usuarios en base a la información introducida en los fórums

SILVANA ACIAR; GABRIELA ACIAR; CESAR COLLAZO; CARINA GONZALEZ

Tenerife

Congreso; INTERACCION 2014; 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.