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Recommendation system algorithms: An overview

Recommendation system algorithm – understand and fulfill your customers’ needs The success of every online company lies in understanding users’ needs and answering them. One of the ways to achieve that goal is through recommendation algorithms that learn user preferences and, based on that...

Machine learning recommendation systems: Introduction

Recommendation system machine learning – improve the accuracy of your product suggestions Today, recommendation systems are in a multitude of places and online services. They are common in video streaming platforms, online stores, marketplaces, and even social media platforms. That’s because...

Netflix recommendation system: How it works

With over 220 million subscribers, Netflix is one of the most popular streaming platforms featuring hundreds of movies, animations, and TV shows. What’s the secret behind their success? Netflix users value this platform for a wide offer, high-quality subtitles, and, yes, accurate, personalized...

E-commerce: Product recommendation system. Why you should have it?

Product recommendation system for e-commerce Amazon gets 30% of its revenue from recommendation systems only. That perfectly explains why product recommendations are so important in e-commerce. What do you need to know about them? And why in modern online trade product recommendation engines...

Deep learning-based recommendation system

What do you need to know about deep learning-based recommender systems? Recommendation systems use several advanced AI-related technologies. Most of them are based on traditional machine learning methods. However, sometimes, this approach is insufficient. Deep learning is your best bet when you...

What is a recommendation engine, and how it works

How do recommendation engines work? Online shopping has grown by leaps and bounds in the past few years. Global e-commerce sales will reach $5 trillion in 2022 and $6 trillion by 2024. As online sellers compete for buyers' attention, a valuable part of attracting customers and ensuring their...