Preference Engine /
Recommender System

Recommender systems are used in a variety of areas, with commonly recognised examples taking the form of playlist generators for video and music services, product recommenders for online stores, or content recommenders for social media platforms and open web content recommenders. These systems can operate using a single input, like music, or multiple inputs within and across platforms like news, books and search queries. There are also popular recommender systems for specific topics like restaurants and online dating.

Source: Recommender System | Wikipedia

Other Links ︎︎︎

• Recommendation Systems Explained | Medium / Towards Data Science
• Introduction to Recommender Systems | Tryolabs
• Bias and Debias in Recommender System | Papers With Code