Clustering-Based Frequent Pattern Mining Framework for Solving Cold-Start Problem in Recommender Systems

Clustering-Based Frequent Pattern Mining Framework for Solving Cold-Start Problem in Recommender Systems

Recommender systems (RS) are substantial for online shopping or digital content services. However, due to some data characteristics or insufficient historical data, may encounter considerable difficulties impacting the quality of their recommendations. This study introduces the clustering-based freq...

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Bibliographic Details
Main Authors: Eyad Kannout, Marek Grzegorowski, Michal Grodzki, Hung Son Nguyen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Cold-start problem
recommender system
frequent pattern mining
clustering
Online Access:https://ieeexplore.ieee.org/document/10401921/

Internet

https://ieeexplore.ieee.org/document/10401921/

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