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Product Recommendation for ecommerce and digital content

Product Recommendation for ecommerce and digital content

We provide recommendation solution-as-a-service for ecommerce and digital content.

Ruaha Recommendation Engine is inherently web scale and big-data oriented. We leverage an ensemble of advanced algorithms - in both stream and batch processing modes- to generate highly personalized and relevant recommendations in real time.

Based on our distributed machine learning platform-as-a-service, it is inherently customizable. REST based APIs make integration with client systems low touch. Functionality is end to end - from data integration to recommendation serving and metric generation. Browser based visual interface makes management and performance tuning intuitive.

In general, recommendation can boost top lines for retail and digital content by 35-38 %. Our performance and accuracy - measured against standard data sets - match the best in the industry. We have recently launched our internal alpha and seeing a strong interest and traction from businesses in this space.

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Founder Ruaha Technology Labs • Worked at @Sun Microsystems, @Yahoo • Studied at @University Of Mumbai

Rangan Sen

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Founder Ruaha Technology Labs Worked at Yahoo, Amazon, Netscape Studied at Indian Institute of Science Expert in machine learning, big data, large scale systems