Real-Time Content Recommendation Engine

Get more engagement from your users

Engagement leads to more loyalty, more spend, and ultimately higher advocacy

Create the ultimate personal experience

Beyond happier users, our content recommendation engine allows you to create a foundation to gather more pertinent data

Leverage state of the art technologies

Our approach to content recommendation is not constrained by a single model, but instead facilitates competition between a variety of models

To build rich user and multi-user profiles, we identify key indicators throughout the user life cycle, offer ingesting existing datasets and combine this with explicit user signal. These profiles are used in conjunction with our enriched metadata, real-time trending topics, and understanding of the wider user-base, to power our world-class content recommendation engine.

There is a huge variation when it comes to individual consumption patterns and behaviours. This is exacerbated by the mixing of linear and on-demand content. Many existing solutions fail in the content landscape of today. Our content recommendation platform’s nuanced approach to the challenge allows us to offer a much more effective solution.

By leveraging the connections within the unified metadata repository, our content-based recommendation engine can provide better filtering, related content can be highlighted and in turn, a better signal is collected to unlock collaborative filtering.

Underneath a user’s activity are their hidden signals for content desirability. Using the latest ML/AI techniques, prediction models are generated to help understand the user’s mood to enhance the content recommendation experience.

By knowing what your user’s are watching and why, leverage this insight to increase the value of your advertising avails.

Go beyond simplifying finding content for your user’s to have their content find them, from all their favourite providers, in doing so, become the destination for the best video experience in your market.

With 8 years of experience building and implementing our AI-driven content recommendation engine, our product experts will help you define your best course of action and determine if a product like Go.Recommend is a good fit for your company.

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