Artwork

Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Applying Transitive Closure to Sort Products Into Categories, Considering Nesting and Overlaps

15:50
 
Share
 

Manage episode 506478454 series 3474670
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/applying-transitive-closure-to-sort-products-into-categories-considering-nesting-and-overlaps.
A guide to efficiently managing nested categories and overlapping products, ensuring fast retrieval without duplicates in e-commerce systems.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-management, #software-architecture, #product-categorization, #graph-theory, #microservices, #optimize-data-storage, #transitive-closure, #advanced-indexing, and more.
This story was written by: @egorgrushin. Learn more about this writer by checking @egorgrushin's about page, and for more stories, please visit hackernoon.com.
Handling product categorization in e-commerce can be quite the task, especially when nested categories and overlapping products make efficient retrieval without duplicates a real challenge. The method I found has a major impact on performance: setting up proper data storage, separating data for reading and modification, using relational and NoSQL databases, and applying graph theory to handle complex category nesting. The step-by-step guide shows how to sort out efficient data storage, use transitive closure for advanced indexing, build a service to maintain and update the graph, and take advantage of database indexing to avoid unnecessary sorting in RAM.

  continue reading

133 episodes

Artwork
iconShare
 
Manage episode 506478454 series 3474670
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/applying-transitive-closure-to-sort-products-into-categories-considering-nesting-and-overlaps.
A guide to efficiently managing nested categories and overlapping products, ensuring fast retrieval without duplicates in e-commerce systems.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-management, #software-architecture, #product-categorization, #graph-theory, #microservices, #optimize-data-storage, #transitive-closure, #advanced-indexing, and more.
This story was written by: @egorgrushin. Learn more about this writer by checking @egorgrushin's about page, and for more stories, please visit hackernoon.com.
Handling product categorization in e-commerce can be quite the task, especially when nested categories and overlapping products make efficient retrieval without duplicates a real challenge. The method I found has a major impact on performance: setting up proper data storage, separating data for reading and modification, using relational and NoSQL databases, and applying graph theory to handle complex category nesting. The step-by-step guide shows how to sort out efficient data storage, use transitive closure for advanced indexing, build a service to maintain and update the graph, and take advantage of database indexing to avoid unnecessary sorting in RAM.

  continue reading

133 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play