Model-Based Book Recommender Systems using Naïve Bayes enhanced with Optimal Feature Selection
Author:
Affiliation:
1. School of Computer Science & Engineering, International University, VNU-HCMC, Ho Chi Minh City, Vietnam
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3316615.3316727
Reference11 articles.
1. C. C. Aggarwal. 2016. Recommender Systems. Springer International Publishing. C. C. Aggarwal. 2016. Recommender Systems. Springer International Publishing.
2. S. Yang M. Korayem K. AlJadda T. Grainger and S. Natarajan. 2017. Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach. Knowledge-Based Systems. 10.1016/j.knosys.2017.08.017 S. Yang M. Korayem K. AlJadda T. Grainger and S. Natarajan. 2017. Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach. Knowledge-Based Systems. 10.1016/j.knosys.2017.08.017
3. Deep Neural Networks for YouTube Recommendations
4. Learning Tree-based Deep Model for Recommender Systems
5. Introducing Hybrid Technique for Optimization of Book Recommender System
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