Tvinci™ MediaStore content recommendation helps users who prefer to passively receive a concrete recommendation of the content they, in specific, are most likely to want (and purchase). Each user receives a clear digest of multiple considerations instead of actively searching according to genres, previous selections, friends' selections, language, prices or any other personal / social / metadata parameter.
- Videos/ subscriptions previously purchased by the user
- Content selections by other users who purchased same content as the specific user
- The webpage from which the user reached the actual purchase, as an indication to the content discovery habits of the user, and his/ her interests
- Videos added to user's Favorites / Wish list
- User's characteristics as indicated on Sign Up
- GeoIP recognition
- Time of the day
The following are used in order to generate a specific, personalized recommendation for a subscription/ video:
- Personalization
- Social engagement
- Paid Video Players
- Media Store Management
