Multi-dimension Tensor Factorization Collaborative Filtering Recommendation for Academic Profiles
The choice of academic itineraries and/or optional subjects to attend is not usually an easy decision since, in most cases, students lack the information, maturity, and knowledge required to make right decisions. This paper evaluates the support of Collaborative Systems for helping and guiding stude...
- Autores:
-
Silva, Jesús
Varela, Noel
Pineda Lezama, Omar Bonerge
Hernández-P, Hugo
Martínez Ventura, Jairo
de la Hoz, Boris
Pérez Coronel, Leidy
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2019
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/5131
- Acceso en línea:
- https://hdl.handle.net/11323/5131
https://repositorio.cuc.edu.co/
- Palabra clave:
- Collaborative filtering
Context aware recommendation system
Contextual Modeling
Item recommendations
Multi-dimensionality
Tensor Factorization
- Rights
- openAccess
- License
- CC0 1.0 Universal