Ranking Instagram Reels Using Machine Learning: A Case Study for Product Managers
The ranking of Instagram Reels is a complex, machine learning (ML)-driven process that optimizes what users see in their feeds to boost engagement, user retention, and overall experience.
Download Tech for Product Managers — Very Easy to Understand
For a Product Manager (PM), understanding the ranking process from a product management perspective means grasping how the algorithm prioritizes content, what metrics drive its success, and how ML models can be deployed and maintained for consistent results.
This chapter will explore how Instagram might rank Reels using ML, breaking down each step and offering real-world analogies and product management documentation examples.
In this Module, we will learn the following things
1️⃣ — Introduction to Ranking Algorithms in Social Media✔️
2️⃣ — Understanding Ranking for Instagram Reels✔️
3️⃣ — Data Requirements and Preparation & Building the Ranking Model✔️
4️⃣ — Key Features and Algorithms & Continuous Improvement✔️
