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...

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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