An Efficient Recommender System Method Based on the Numerical Relevances and the Non-Numerical Structures of the Ratings

An Efficient Recommender System Method Based on the Numerical Relevances and the Non-Numerical Structures of the Ratings

In this paper, we propose a collaborative filtering method designed to improve the current memory-based prediction times without worsening and even improving the existing accuracy results. The accuracy improvement is achieved by combining the numerical relevance of the ratings with non-numerical inf...

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Bibliographic Details
Main Authors: Bo Zhu, Remigio Hurtado, Jesus Bobadilla, Fernando Ortega
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Recommender systems
collaborative filtering
performance
prediction time
similarity measures
model-based methods
Online Access:https://ieeexplore.ieee.org/document/8453781/

Internet

https://ieeexplore.ieee.org/document/8453781/

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