Recommend
Each content item’s semantic identity contributes towards recommendations that inform and guide — from similar content to combinations of keywords that bring new suggestions.
Recommendations are means for a unified experience
Turn suggestions into multifaceted recommendations
Content-based recommendations show the links between each piece of content through natural language keywords.
It is about relevant and intuitive content-to-content recommendations.
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Similar
Recommendations that make sense. Show related content. Similar content displays a list of like pieces of media.
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Related Themes
Show related content by pairing thematic sub-genres. Multifaceted related content lists media categorized by clusters of keywords. Recommend using niche sub-genres for a more deft user experience.
“Spideo brought us an active discovery system, with a fun and relevant user experience able to spontaneously understand people’s interests”
Canal +
Focus on content
Similar content doesn’t need customer information.
- You can start relevant recommendations from your content only.
- Your recommendations respect users’ data privacy.
- Empower users to control their recommendations.
- Build customers’ trust while you focus on content.
Show what to expect from each piece of media
Related Themes allow people to discover new associated recommendations through theme combinations.
- Spideo’s data crafters classify content using natural language.
- Theme combinations are generated automatically for all titles.
- People get to know each piece of content from different angles, empowering them to make informed decisions.
Inspirations
Customer stories
04 Apr. 2022
SKY Switzerland
SVOD and OTT services experience the risk of churn due to seasonality while broadcasting new seasons of popular shows. How can accurate and relevant recommendations help them in delivering the right content at the right time in order to avoid churn in such a context? How can they keep their users engaged with personalized recommendations?
01 Jul. 2019
Televisa
Launching an international OTT strategy. Televisa launches Blim in order to retain subscribers with exclusive Spanish speaking content on its own On-Demand platform.
Content Personalization
Recommendation engines for streaming platforms – Discovery based on Trust, Transparency, and Controllability – Real time Personalization