Recommendation Systems: Algorithms, Challenges, Metrics, and Business Opportunities

Recommendation Systems: Algorithms, Challenges, Metrics, and Business Opportunities

Recommender systems are widely used to provide users with recommendations based on their preferences. With the ever-growing volume of information online, recommender systems have been a useful tool to overcome information overload. The utilization of recommender systems cannot be overstated, given i...

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Bibliographic Details
Main Authors: Zeshan Fayyaz, Mahsa Ebrahimian, Dina Nawara, Ahmed Ibrahim, Rasha Kashef
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Applied Sciences
Subjects:
recommendation systems
machine learning
validation
business applications
Online Access:https://www.mdpi.com/2076-3417/10/21/7748

Internet

https://www.mdpi.com/2076-3417/10/21/7748

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