AI Use Case
Rank content for social media feeds
Successful social media sites tend to have more content available for users than all but the most addicted (and socially restricted) could possibly read. This means that they have to use multiple indicators to power the algorithms that rank the content displayed. In this they are in a constant battle to stay one step ahead of the content marketeers trying to game the system.
Function
R And D
Product Management
Benefits
Revenue - Customer experience,Revenue - Personalisation,Data - Data mapping / labelling
Case Studies
Facebook~Facebook improves user experience using ranking algorithm to optimise content based on user behaviour,Facebook~Facebook optimises experiments for server performance and ranking improvement using reinforcement learning
Potential Vendors
Industry
Consumer Goods And Services
Media And Publishing
Data Sets
Text,Structured / Semi-structured,Images,Video,Audio
AI Technologies
Machine Learning (ML),ML Task - Prediction - Regression,ML Task - Action Selection - Reinforcement Learning ,ML Task - Prediction - Multi-class Classification,ML Task - Prediction - Binary Classification