Personalized neural network-based aggregation function in multi-criteria collaborative filtering

Personalized neural network-based aggregation function in multi-criteria collaborative filtering

Modeling an effective aggregation function to improve the accuracy of recommendations remains an issue in model-based multi-criteria collaborative filtering (MCCF). The total-based aggregation function is efficient, but it lacks personalization. The user-based aggregation function is personal, but i...

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Bibliographic Details
Main Authors: Rita Rismala, Nur Ulfa Maulidevi, Kridanto Surendro
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Aggregation function
Neural networks
Multi-criteria collaborative filtering
Personalization
Recommender system
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157824000119

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http://www.sciencedirect.com/science/article/pii/S1319157824000119

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