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- Title
How Recommendation Algorithms Know What You'll Like.
- Authors
Vitanova, Mirjana Kocaleva; Miteva, Marija; Gelova, Elena Karamazova; Zlatanovska, Biljana
- Abstract
One of the most used statistical techniques that include machine learning and data mining for 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.
- Subjects
AMAZON.COM Inc.; ALGORITHMS; INTERNET stores; DATA mining; MACHINE learning; ONLINE shopping; ONLINE algorithms
- Publication
South East European Journal of Sustainable Development, 2023, Vol 7, Issue 2, p21
- ISSN
2545-4463
- Publication type
Article