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#03 - Recommendations and Content Personalization with Recombee
Introduction
In this episode of the Kontent Rocks podcast, Brian McKeiver is joined by Pavel Kordik and Gabriela Takacova of Recombee. Brian, Pavel, and Gabriela discuss why automated recommendations and ultimately content personalization can help organizations save time and increase site metrics and conversions. The trio then demos how Kontent by Kentico can easily be integrated with Recombee's AI powered recommendation engine.
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In This Episode
Brian McKeiver, Pavel Kordik, and Gabriela Takacova discuss the following topics in Kontent Rocks podcast episode #03:
- Who is Recombee and what can their service offer
- How recommendations can be used to personalize content on your website
- How a recommendation service like Recombee works compared to manually related content
- The integration available between Kontent and Recombee
- A quick overview of the Kontent custom element that Recombee has developed
Related Links to this episode:
- Recombee: Artificial Intelligence Powered Recommender as a Service
- Recombee Case Studies
- Examples of where Recombee can be used
- Kontent and Recombee integration
- Github repo to Kontent custom element example for Recombee
You can listen to the episode here on this blog post, it is embedded below:
