Design of a recommendation system for books
Carola Draisci
Design of a recommendation system for books.
Rel. Luca Vassio, Marco Mellia. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2021
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Abstract
Artificial intelligence is increasingly playing a crucial role in helping users find products that are well suited to their interests, tastes and wishes. Nowadays users deal with a huge amount of data when they want to purchase or borrow products. The aim of recommendation system is to help the user in his decision making process, driving his focus on product that fits his needs. Recommendation systems are models capable of suggesting personalized items to a generic user by means of filtering techniques. This tools have acquired great relevance and have been widely used in recent years as they represent a significant improvement, especially in relation to the Big Data issue.
We can find their application in disparate areas, they play a fundamental role in various services: from the entertainment such as movies, videos, music, to the e-learning web sites such as newspapers
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