A New Recommendation Approach Based on Probabilistic Soft Clustering Methods: A Scientific Documentation Case Study

A New Recommendation Approach Based on Probabilistic Soft Clustering Methods: A Scientific Documentation Case Study

Recommender system (RS) clustering is an important issue, both for the improvement of the collaborative filtering (CF) accuracy and to obtain analytical information from their high sparse datasets. RS items and users usually share features belonging to different clusters, e.g., a musical-comedy movi...

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Bibliographic Details
Main Authors: Remigio Hurtado, Jesus Bobadilla, Rodolfo Bojorque, Fernando Ortega, Xin Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Soft clustering
scientific documentation
collaborative filtering
recommender systems
Online Access:https://ieeexplore.ieee.org/document/8594540/

Internet

https://ieeexplore.ieee.org/document/8594540/

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