Domains / Video

Maximize Engagement With Real‑Time Video Recommendations

Surface the right content at the right moment with recommendations that adapt in milliseconds. Increase watch time, completion, subscriptions, and retention across every device.

Video
  • DAZN
  • PBS
  • FTV Prima
  • Modern TV
  • Pathe Thuis
  • TVA+
  • Illico+
  • Gaia

Use Cases

  • Fully Personalized Homepage

    Automate and tailor all your homepage rows 1:1 for each user.

    Explore Recipe
  • Short Videos Feed

    Keep viewers engaged with an endless short-form video feed that adapts instantly to what they watch, skip, like, or dislike.

    Explore Recipe
  • Editors' Picks For You

    Personalize editors' picks by showing the most relevant titles from a pre-selected list.

    Explore Recipe
  • Search Movies/Series

    Make sure the desired titles get found within a few keystrokes with a full-text search for movies and TV shows.

    Explore Recipe
  • Personalized Emailing

    Sweeten the user's experience through personalized emails with movies and series tailored to the viewer's taste.

    Explore Recipe
  • Because You Watched

    Show highly relevant titles based on what the user recently watched. Recombee’s API natively supports returning the watched title and its related content.

    Explore Recipe

Video Recipes

Discover how to personalize various use cases within your video platform.

Explore Integration Recipes
"Recombee helped us make content discovery far more relevant for every viewer. Following a seamless implementation, we saw a 23% increase in click-through rate and a 39% increase in video views reaching at least 25% completion. The platform’s configuration flexibility and the team’s hands-on support made it easy to tailor recommendations to our specific needs."
Michal Lebowitsch
Michal Lebowitsch
SVP International & Content Operations at Gaia

Set-up Your Homepage With Netflix-Like Rows

Personalize all rows on your homepage using rich mixture of algorithms and advanced configuration options.

Recommendations of Series, Seasons and Episodes

Utilize video-specific events, such as “progress of watching” or “watching milestones” and algorithms supporting content hierarchy and sequentiality.

Support for SVOD, AVOD and TVOD Business Models

Improve subscription and retention rates, ad and transaction revenues, watch time, number of plays, and other metrics.

Deliver Personalized Experiences on All OTT Platforms

Provide recommendations to a full scale of supported devices ranging from mobile, smart TV, desktop, HbbTV, and others.

Connect Linear TV, Live Streams, and VOD Libraries

Use data from multiple sources and connect your devices with cross-platform recommendations.

Recommend Video Content in Real-Time

Process stream of live events using machine learning models to learn immediate user preferences and recommend content which is hot at the very moment.


Recombee Insights

Real-Time Analytics & Insights

Take a deep dive into your data using our advanced real-time analytics tool called Insights within the Recombee Admin UI.

  • Understand your top-recommended assets, and compare views of free and premium content from recommendations, or genres popularity
  • Visualize your data, create custom reports, and seamlessly share insights with your team
  • Choose from a library of analytical views or create your graphs and reports
  • Using the analytical data, adjust the rules and let the recommender engine follow your product vision
Explore Insights

Offer YouTube and Netflix-Like Recommendations

Based on analysis of video attributes and user behavior suggest the next best title on any platform - be it VOD (video on demand), SVOD or AVOD. Invest in your user experience with video recommendations and don’t let the result go unrewarded - add to your watch time, increase views on videos and gather positive reviews of your platform!

With the growing number of video streaming platforms, it is crucial to create unique experiences for each of your users to prevent churn. Our recommender engine recognizes the preferences of users in real-time. We work with information about which titles were watched till the end, which halfway or skipped completely.

Recombee offers application of boosters and filters, that allow for automatic organization of content, e.g. boosting premium videos or chosen genres. Utilize Recombee to offer “watch next” scenarios, homepage, full-text search or infinite scroll personalization.

Recombee’s robust recommendation engine analyzes video properties such as title, genre, description, year, language, available since/ expiration date or cast and user interactions like detail views, view portions, ratings, or purchases. User attributes such as age, language, location, or type of subscription are also incorporated.

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Case Studies


Core Technology

  • Adapting to Your Data

    Content-based algorithms using NLP to analyze all video attributes for different platforms, VOD, SVOD, or TVOD (or others).

  • Dynamically Retrained Models

    Real-time content personalization to adapt to the flourishing customer’s tastes and consider the fast-changing video content.

  • Specific Functionalities for Video Platforms

    Recommendations taking into account the users’ watch time; which titles were watched till the end, which halfway or skipped completely.

  • AI-powered A/B Testing

    In-house AutoML AI that maximizes KPIs and continuously optimizes deep learning algorithms.

  • Advanced Business Rules

    Boosters or filters to push forward desired videos and easy to manipulate, adjustable rules for additional optimization of your content.

  • Real AI Inside

    Recommender system designed to recognize the preferences of individual users and predict relevant videos faster and with higher accuracy.

"At DAZN, being the Global Home of Sports means delivering the right matches, highlights, and moments to audiences in 200+ markets - bringing fans even closer to the live game. That’s why we’ve teamed up with Recombee to personalize experiences at scale. Their tech enables us to connect each viewer on any device with the right game or clip in real time through flexible solution built for growth. This partnership sets the pace for a smarter, more connected global sports experience."
Christoph Haas
Christoph Haas
EVP Product & Platform Engineering at DAZN

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