An efficient hybrid recommendation model based on collaborative filtering recommender systems
Abstract In recent years, collaborative filtering (CF) techniques have become one of the most popularly used techniques for providing personalized services to users. CF techniques collect users’ previous information about items such as books, music, movies, ideas, and so on. Memory‐based models are...
Guardado en:
Autores principales: | Mohammed Fadhel Aljunid, Manjaiah Doddaghatta Huchaiah |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Wiley
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/cab112e903c24eb2bf321df20545830b |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Different hybrid machine intelligence techniques for handling IoT‐based imbalanced data
por: Gaurav Mohindru, et al.
Publicado: (2021) -
Constrained tolerance rough set in incomplete information systems
por: Renxia Wan, et al.
Publicado: (2021) -
Low‐rank constrained weighted discriminative regression for multi‐view feature learning
por: Chao Zhang, et al.
Publicado: (2021) -
Deep imitation reinforcement learning for self‐driving by vision
por: Qijie Zou, et al.
Publicado: (2021) -
Design and analysis of recurrent neural network models with non‐linear activation functions for solving time‐varying quadratic programming problems
por: Xiaoyan Zhang, et al.
Publicado: (2021)