Profile Based Recommendation

Profile Based Recommendation

Profile based recommendations feel like real-life suggestions from a trusted friend.

Our profile based algorithm analyzes moods, genres and themes to customize each user’s recommendations. Users will be empowered to browse on their own terms and see their entertainment diet expand, driving more traffic to your service.

Profile based recommendations feel like real-life suggestions from a trusted friend.

Our profile based algorithm analyzes moods, genres and themes to customize each user’s recommendations. Users will be empowered to browse on their own terms and see their entertainment diet expand, driving more traffic to your service.

“Our collaboration has been seamless, from the very fast and easy integration to the end result which already makes a real difference in terms of transformation, engagement and exposure on the platform.”

Profile-based recommendations are about tastes and psychographic data

Recommendations are hard.

But our algorithm considers natural language, personal taste and social trends with our semantic-based discovery system. It makes the challenging problem of digital language interpretation easy for your company.

  • Profile-based recommendations associate meaningful words with interests.
  • They curate content according to users’ preferences.
  • They explain why content is relevant to users.
  • And they empower users to interact with their data and learn from their own behaviours.

Profile-based recommendations know your tastes

Personalized recommendations

Provide personalized suggestions based on activity.

Cover multiple styles of personalized recommendation through the “recommended for you” and “thematic playlists” features.

Offers experimental suggestions like talking to a video store clerk.

User Semantic
Fingerprint

Explain recommendations with real-time visual results.

User Semantic Fingerprint™ uses bubble-like UX for taste-based unique profiles.

Show users the reasoning behind their recommendations for a more human browsing experience

Battle Mode

Gamify your media search.

Battle Mode asks people their preference between two pieces of content.

Increases accuracy when matching user’s desires.

Explore all facets of personalized profiles

Recommended for you is complimented by Thematic playlists for a full, personalized recommendation experience.

  • Personalization manifests through lines of recommendations
  • The algorithm takes into account user-specific theme preferences.
  • Simple descriptions explain what users can expect from each title.
  • Find further recommendations through mood and keyword analysis based on users’ favorite content.

Use interactions to engage and empower

User Semantic Fingerprint showcases tastes through bubbles of moods and themes.

  • Combined bubbles create a unique profile. A user’s “fingerprint” will shift with interaction.
  • User’s interactions are visualized to give consumers insight into their watching habits.
  • Transparency with users demonstrates respect for data privacy and fosters trust.

Are you ready for a battle?

Battle Mode lets users participate in a head to head content showdown.

  • You decide if you want to display contrasting or similar semantic content.
  • You can handpick content that matches your editorial strategy. Or go random.
  • Thematic lists with personalized suggestions are built using data from users’ choices.
  • Lists use natural language-based categories for better user experience.