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JUMP Deep Recommender

Consumer data analysis

Content Recommendation EngineJUMP Deep Recommender is a personalization tool for video content that provides your audience highly accurate recommendations after tracking and analyzing user patterns in content consumption and content similarity- Configure the recommendations in the way that best fits your personalization strategy

Easily fine-tune the recommendation engine according to your personalization goals.

  • Genre weight

  • Content type weight

  • Overwrite recommendations

  • Include editorial content

  • Generate content black lists

  • Create and customize recommendation grids

  • Create and customize In-player overlay recommendations

– Provide recommendations to your audience tailored to their consumption habits

Your audience will not just receive individual recommendations;  recommendations will also be adjusted to their different consumptions scenarios.

  • Type of dayweek day, weekend day

  • Time-framemorning, midday, afternoon, night

  • DeviceMobile,  Smart TV, Web, etc.

  • Content-typemovies, series, etc.

– Track recommendation performance to measure effectiveness

Once the recommendations have reached the audience, it is crucial to track their performance.

  • Recommendation impressions

  • Recommendation Impressions CTR

  • Recommendation Plays

  • Recommendation plays conversion rate

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