Recommendation System Types
Hey guys 😀 !! We all love to watch YouTube, whether its T-Series or Mr. Beast, we consume content of every genre irrespective of their origin. But have you wondered how a recommendation engine works 🤔🤔!! So, let's dive into a developer's mind to understand this 🔍. Generally Recommendation System algorithms are majorly classified as : 1. Content Based Filtering 2. Collaborative Filtering 3. Hybrid Methods There are other complex systems too, but these are the building blocks. ✔ Content-Based Filtering Suppose we are the developers, if our consumer consumes some content ,say he/she might be watching some IPL highlights 🏏 , then we will recommend him/her similar content of say, other IPL teams highlights. So we are recommending items to a user based on the attributes or features of the items and the user's preferences. ✔ Collaborative Filtering Suppose there are 2 users A and B , Both A and B have similar taste of content as it is observed that A watc...