Boosting the Item-Based Collaborative Filtering Model with Novel Similarity Measures

Boosting the Item-Based Collaborative Filtering Model with Novel Similarity Measures

Abstract Collaborative filtering (CF), one of the most widely employed methodologies for recommender systems, has drawn undeniable attention due to its effectiveness and simplicity. Nevertheless, a few papers have been published on the CF-based item-based model using similarity measures than the use...

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Bibliographic Details
Main Authors: Hassan I. Abdalla, Ali A. Amer, Yasmeen A. Amer, Loc Nguyen, Basheer Al-Maqaleh
Format: Article
Language:English
Published: Springer 2023-07-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Recommender systems
Collaborative filtering
Information retrieval
Similarity measure
Item-based model
Online Access:https://doi.org/10.1007/s44196-023-00299-2

Internet

https://doi.org/10.1007/s44196-023-00299-2

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