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What is Recommender System RS

Handbook of Research on Advancements of Contactless Technology and Service Innovation in Library and Information Science
It is an application of artificial intelligence and machine learning where we use an artificial intelligence algorithm to suggest products to a user based on the user’s search history and other factors.
Published in Chapter:
The Use of Machine Learning in Libraries: How to Build a Book Recommender System
Iman Khamis (Northwestern University, Qatar)
DOI: 10.4018/978-1-6684-7693-2.ch002
Abstract
This chapter focuses on machine learning algorithms used in real-world applications and the possibilities of using them in libraries. Recommender systems are considered to be very valuable tools as they can be personalized to each user's preferences and needs. The main goal of the recommendation system is to aid users in finding necessary items from an overwhelming number of options. In this chapter, the authors examine two book recommender systems, explain the logic behind the used algorithms, and illustrate the way to adapt the same technologies in other libraries.
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