A deep learning-based hybrid model for recommendation generation and ranking
A recommender system plays a vital role in information filtering and retrieval, and its application is omnipresent in many domains. There are some drawbacks such as the cold-start and the data sparsity problems which affect the performance of the recommender model. Various studies help with drastica...
- Autores:
-
Sivaramakrishnan, N.
Subramaniyaswamy, V.
amelec, viloria
Vijayakumar, V.
Senthilselvan, N.
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/6456
- Acceso en línea:
- https://hdl.handle.net/11323/6456
https://doi.org/10.1007/s00521-020-04844-4(0123456789().,-volV)(0123456789(). ,- volV)
https://repositorio.cuc.edu.co/
- Palabra clave:
- Deep learning
Optimization
Side information
Hybrid model
Recommendation system
Collaborative filtering
- Rights
- openAccess
- License
- CC0 1.0 Universal