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Introduction to Recommender System.

Recommender systems aim to predict users’ interests and recommend product items that quite likely are interesting for them. They are among the most powerful machine learning systems that online retailers implement in order to drive sales.
Introduction to Recommender System.

During the last few decades, with the rise of Youtube, Amazon, Netflix and many other such web services, recommender systems have taken more and more place in our lives. From e-commerce (suggest to buyers articles that could interest them) to online advertisement (suggest to users the right contents, matching their preferences), recommender systems are today unavoidable in our daily online journeys.

https://www.researchgate.net/profile/Alan-Eckhardt/publication/220827211/figure/fig2/AS:394007092973580@1470950019808/Structure-of-a-recommender-system.png

In a very general way, recommender systems are algorithms aimed at suggesting relevant items to users (items being movies to watch, text to read, products to buy or anything else depending on industries).

Introduction to Recommender Systems | Tryolabs Blog
Recommender systems aim to predict users’ interests and recommend product items that quite likely are interesting for them. They are among the most powerful machine learning systems that e-commerce companies implement in order to drive sales.
https://tryolabs.com/blog/introduction-to-recommender-systems/

#RecommenderSystem #Technology #AI #ML #Probyto #ProbytoAI

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