Contact Us

eCommerce Recommendation Engine classifies apps on smart phone

Ecommerce Recommendation System

CHALLENGE

Mobile apps directory was unable to classify, rank and keep up to date >2M apps.

SOLUTION

Built a classification and recommendation engine based on a vector clustering system.

OUTCOME

Key engagement metrics increased >3x and engine keeps directory classification accurate and up-to- date.

Hybrid Recommendation Systems

Ecommerce Recommendation System

CHALLENGE

Mobile apps directory was unable to classify, rank and keep up to date >2M apps.

SOLUTION

Built a classification and recommendation engine based on a vector clustering system.

OUTCOME

Key engagement metrics increased >3x and engine keeps directory classification accurate and up-to- date.

Hybrid Recommendation Systems

Download the Case Study

More case studies
The Waste Management Early Alert Rear Safety Device
Object Detection

Waste Management Early Alert Rear Safety Device

Realty Austin Case Study cover
Recommendation Modeling

Case Study: Realty Austin

Realty Austin needed to improve the available housing recommendations sent to its customers via email. Find out how KUNGFU.AI created the system that generated significantly improved email click-through rates.
Case Study: Natural Language Processing for Audio Search, a broadcaster records a podcast that will then be indexed and archived with NLP
Natural Language Processing (NLP)

NLP for Audio Search