Media Recommendation Engine Development (NDA)

Engagement model: Dedicated Development Team

Business domain: Media and Entertainment

Technologies and tools: Big Data processing, ML, predictive analytics, Python, Scala, Apache Spark

Our Client is one of the UK’s leading content media agencies that had successfully launched a platform similar to 9gag and Reddit alongside a mobile application.
The company faced two major challenges:

The lack of AI and Data Analytics talent onshore;
The ever growing amounts of user data that were to be structured to facilitate a data-based decision making and evolve the platform for further penetration with new markets.
As such, the Client was seeking ways to extend technological man- and brain-power support and he turned to our experts for assistance.

The Client challenged us to build a media recommendation engine that would take advantage of data analytics and machine learning (ML) to analyze individual user preferences and help them discover new relevant content fast and seamlessly.

As a result of this engagement, the Client was able to increase its audience monetization crucially (for the first 6 months after the deployment, click-and-go for partners offers grew by 20% compared to the previous period), whilst the overall audience increased by approximately 10%.

Work added: 13.10.20

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