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Multilingual Predictive Text Classification Model for AdTech Platform

inoxoft.com

Advertising & marketing

Challenge

The client needed to expand the scope of their existing data analysis capabilities beyond basic website data. They faced challenges in analyzing complex websites with diverse content, understanding user intent across multiple languages, and improving the accuracy of ad targeting based on a wider range of information.

About the Client

A data activation, curation, and audience intelligence platform providing brands with actionable data, analytics, and insights to optimize online video ad targeting and ROI.

Objectives

Develop a machine learning model for accurate content categorization of web pages.
Enable multilingual analysis of website content.
Improve the precision of user preference prediction for ad targeting.
Process a large volume of web pages daily (2 million).
Reduce inference time to under 10 milliseconds.

Functional Requirements

Content categorization using IAB taxonomy.
Multilingual natural language processing (NLP) capabilities.
Custom Python web scraping backend.
TensorFlow-based model training and deployment.
Real-time inference with low latency.

Preferred Technologies

TensorFlow

Docker Compose

AWS

Selenium

Python

Integrations Required

Third-party advertising platforms (e.g., Google Ads, Facebook Ads)
Data storage solutions (e.g., AWS S3, RDS)

Non-Functional Requirements

Scalability to handle 2 million web pages per day.
Low latency (under 10 milliseconds for inference).
High accuracy and precision in content categorization.
Robustness and reliability.
Security to protect user data and prevent unauthorized access.

Business Impact

Successful implementation will enable the client to provide more accurate ad targeting, improve advertising ROI for their clients (musicians and media agencies), and strengthen their position as a leader in data-driven advertising. The ability to process and categorize vast amounts of data quickly and accurately will significantly enhance their service offerings and drive revenue growth.