Its all about influence : PageRank in Graphs, why bother?

Let’s not try to sell “Product A” to Aniket, Find out what Product Aniket mostly likely going to buy !

Is it the graph influencing your next purchase?

In the digital age, understanding customer preferences and behavior is crucial for businesses to thrive. One powerful tool for analyzing and leveraging these patterns is PageRank, a graph algorithm originally developed by Google to rank web pages. In this article, we’ll explore the concept of PageRank in the context of graph theory and its application in product recommendation systems.

What This Article Covers

• The Hidden Power of Product Networks: Discover how the relationships between your products can hold the key to better recommendations.
• PageRank: The Algorithm that Conquered Google: Learn about the algorithm that revolutionized search engines and how it can supercharge your product recommendations.
• Decoding Influence: Find out how PageRank uncovers the most influential products in your network, even if they aren’t the obvious bestsellers.
• Code in Action: Get hands-on with code examples and see how to turn PageRank insights into real-world recommendations.