Recommender Systems

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Recommender System

Towards Data Science

A Recommender System refers to a system that is capable of predicting the future preference of a set of items for a user, and recommend the top items. One key reason why we need a recommender system…

Dive intro Deep Learning Book

Shuai Zhang ( Amazon ), Aston Zhang ( Amazon ), and Yi Tay ( Google ) Recommender systems are widely employed in industry and are ubiquitous in our daily lives. These systems are utilized in a number ...

Recommendation Systems

Towards AI

Wiki Definition: Recommendation Engines are a subclass of information filtering systems that seeks to predict the ‘rating’ or ‘preference’ that the user would give to an item. My Definition…

Movie Recommender System

Analytics Vidhya

A recommender system, or a recommendation system (sometimes replacing ‘system’ with a synonym such as a platform or an engine), is a subclass of information filtering system that seeks to predict the…...

Recommender Systems Explained

Towards Data Science

I’ve spent a lot of time writing about how various data science algorithms and concepts work at a fundamental level. But many of our stakeholders don’t want or need that level of detail. So today I…

The World Of Recommender Systems

Analytics Vidhya

Recommender Systems is one of the areas which ignited my interest in Data Science. Being an avid end-user of Netflix, Amazon and a couple more eCommerce and content-based platforms, I used to be…

Basics of Recommender Systems

Towards Data Science

Recommender systems proactively recommend relevant items to users. When appropriate. “Proactively” means the items just show up — users don’t need to search for them or even be aware of their…

Recommender Systems in Practice

Towards Data Science

Companies like Amazon, Netflix, Linkedin, and Pandora leverage recommender systems to help users discover new and relevant items (products, videos, jobs, music), creating a delightful user experience…...

Modern Recommender Systems

Towards Data Science

As recently as May 2019 Facebook open-sourced some of their recommendation approaches and introduced the DLRM (Deep-learning Recommendation Model). This blog post is meant to explain how and why DLRM…...

Developing a recommender system

Analytics Vidhya

Recommender systems are used, for example, to recommend you products you would maybe like to buy based on the products you bought or looked at and which people similar to you bought or looked at…

Recommendation Systems Explained

Towards Data Science

Recommendation engines are a subclass of machine learning which generally deal with ranking or rating products / users. Loosely defined, a recommender system is a system which predicts ratings a user…...

Overview of Recommender Systems

Dive intro Deep Learning Book

In the last decade, the Internet has evolved into a platform for large-scale online services, which profoundly changed the way we communicate, read news, buy products, and watch movies. In the meanwhi...