A Group Recommendation System for Movies based on MAS
Providing recommendations to groups of users has become popular in many applications today. Although several group recommendation techniques exist, the generation of items that satisfy all group members in an even way still remains a challenge. To this end, we have developed a multi-agent approach called PUMAS-GR that relies on negotiation techniques to improve group recommendations. We applied PU…
Autorius
- Villavicencio, Christian Paulo
- Schiaffino, Silvia
- Díaz-pace, J. Andrés
- Monteserin, Ariel
Leidėjas
- Ediciones Universidad de Salamanca (EspaÑa)
Tema
- Computación
- Informótica
- Computing
- Information Technology
- Computing
Skaitmeninis objektas tipas
- ArtÍculo
- Article
Data
- 2017-01-09T12:04:10Z
- 2017-01-09T12:04:10Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Autorius
- Villavicencio, Christian Paulo
- Schiaffino, Silvia
- Díaz-pace, J. Andrés
- Monteserin, Ariel
Leidėjas
- Ediciones Universidad de Salamanca (EspaÑa)
Tema
- Computación
- Informótica
- Computing
- Information Technology
- Computing
Skaitmeninis objektas tipas
- ArtÍculo
- Article
Data
- 2017-01-09T12:04:10Z
- 2017-01-09T12:04:10Z
- 2016-11-15
- 2016-11-15
- 2017-01-09
- 2017-01-09
Agregatorius
Šiame Skaitmeninis objektas esančios teisių pareikštys (jei nenurodyta kitaip)
- http://creativecommons.org/licenses/by-nc-nd/4.0/
Teisės
- info:eu-repo/semantics/openAccess
Sukūrimo data
- 2017-01-09T12:04:10Z
- 2017-01-09
Identifikatorius
- oai:gredos.usal.es:10366/132096
- ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 5 (2016)
- 2255-2863
- http://hdl.handle.net/10366/132096
Formatas
- application/pdf
Kalba
- eng
Teikianti šalis
- Spain
Kolekcijos pavadinimas
Pirmą kartą paskelbta Europeana
- 2017-07-07T14:05:34.197Z
Paskutinį kartą atnaujinta iš teikėjas
- 2017-07-07T14:05:34.197Z