A Humble Deep Dive into Recommender Systems
Entertainment, e-commerce , healthcare , advertisements, map-services! Name an application area, you have a recommendation engine that suggests something based on preferences (stereotypes). This article explores the historical aspect of recommender systems and types of algorithms being in today's world out there.
Written by
Manisha Akshita