Name
Abstract | ||
|---|---|---|
The goal of this paper is to show a movie recommender system for groups of people, integrated in the social network Face book through an application called Happy movie. This application tries to mitigate certain limitations in existing group recommender systems, like obtaining the users profile or offering trading methods for users in order to reach a final agreement. The method used to make the group recommendation is based on three important features: personality, social trust and memory of past recommendations. This way we simulate in a more realistic way the argumentation process followed by groups of people when deciding a joint activity. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICTAI.2011.44 | ICTAI |
Keywords | Field | DocType |
social network,movie recommender system,group recommendation,argumentation process,certain limitation,group recommender system,recommending movies,happy movie,face book,users profile,facebook application,social trust,recommender system,trust,humanities,motion pictures,recommender systems,social networks,human computer interaction,personality,estimation | Recommender system,Social group,World Wide Web,Social network,Computer science,Argumentation theory,Multimedia,Social trust,Personality | Conference |
ISSN | ISBN | Citations |
1082-3409 | 978-0-7695-4596-7 | 5 |
PageRank | References | Authors |
0.41 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lara Quijano Sánchez | 1 | 16 | 1.94 |
| Juan A. Recio-Garcia | 2 | 121 | 11.03 |
| Belen Diaz-Agudo | 3 | 158 | 9.29 |
| Quijano-Sanchez, L. | 4 | 5 | 0.41 |
| Recio-Garcia, J.A. | 5 | 8 | 1.13 |
| Diaz-Agudo, B. | 6 | 5 | 0.41 |