Title
User Recommender based on information from forums
Abstract
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.
Year
DOI
Venue
2014
10.1145/2662253.2662262
Interacción
Field
DocType
Citations 
Recommender system,Virtual learning environment,World Wide Web,Computer science,User information,Multimedia
Conference
1
PageRank 
References 
Authors
0.39
2
4
Name
Order
Citations
PageRank
Silvana V. Aciar113.43
Gabriela I. Aciar211.40
César A. Collazos328076.06
C. González411919.59