How Recommendation Algorithms Know What You'll Like

Kocaleva, Mirjana and Miteva, Marija and Karamazova Gelova, Elena and Zlatanovska, Biljana (2023) How Recommendation Algorithms Know What You'll Like. South East European Journal of Sustainable Development, 7 (2). pp. 21-26. ISSN 2545-4471

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Abstract

One of the most used statistical techniques that include machine learning and data miningfor predicting future outcomes with help of data that already exist is known as predictive algorithm. Predictive models are not stable, and they build assumption based on past and present actions. In the paper we are going to introduce Amazon online store and how algorithms know what we like, so they can recommend products to us by their own. One of the biggest innovations in online shopping - first introduced by Amazon - was automatic recommendation generation. The more accurate prediction algorithms are, the more online stores will sell their products. For that reason, prediction algorithms are of great significance for online stores.

Item Type:	Article
Subjects:	Natural sciences > Computer and information sciences
Divisions:	Faculty of Computer Science
Depositing User:	Mirjana Kocaleva Vitanova
Date Deposited:	04 Jul 2023 07:47
Last Modified:	04 Jul 2023 07:47
URI:	https://eprints.ugd.edu.mk/id/eprint/30894

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