Audience identification
Request
Identify user profiles based on the history of TV programs viewed.
Approach
Develop a smart algorithm that estimates the probability of each segment for every view. We implemented an intelligent model to calculate the likelihood of each segment watching a specific television and designed a dynamic threshold for accurate segment assignment.
Result
A powerful engine that assigns audience segments with an error margin between 0% and 3%, ensuring accurate identification of the viewer profiles.
Categories
Type
AI & Data Science
Need
Benefit
Business function
Industry
Telco, Media, Entertainment, Advertising, Utilities, Publishers, Finance, Tourism and events, Education, Retail Distribution
Business Model
Business Size
