Your proven path to success in Machine Learning Interviews – developed by FAANG engineers. Unlock ML loops at top companies with a System Design approach.

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Grokking the Machine Learning Interview

# Why do you need diverse Tweets?

Let's assume that you adopted the following modelling option for your Twitter feed ranking system. The Tweet selection component will select one-hundred thousand Tweets for user A's Twitter feed. The stage one ranker will choose the top five-hundred most engaging Tweets for user A. The stage two ranker will then focus on assigning engagement probabilities to these Tweets with a higher degree of accuracy. Finally, the Tweets will be sorted according to the engagement probability scores and will be ready for display on the user's Twitter feed.   

Let's learn methods to reduce monotony on the user's Twitter feed.

Introduction

Practical ML Techniques/Concepts

Search Ranking

Feed Based System

Recommendation System

Self-Driving Car: Image Segmentation

Entity Linking System

Ad Prediction System

Diversity

Why do you need diverse Tweets?