Sentient RecommenderSentient Information Systems
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About
Jinni's taste-based content-to-audience platform provides revolutionary personalization solutions for video content discovery and targeted digital advertising for entertainment brands. Through its unique Entertainment Genome™, consisting of thousands of distinct content attributes or "genes", Jinni not only understands the most subtle differences in TV and movie entertainment content but also understands each individual's unique entertainment tastes, thereby providing the perfect match between individual and content titles! Our mission is to be the best-in-class content-to-audience platform for entertainment brands, using one platform to match & promote entertainment content to the right audiences, dramatically increasing profitability for platform operators and entertainment advertisers. Jinni's semantic algorithms that match content to users' personal tastes have been setting the direction for the next generation of content discovery & recommendations for the industry.
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About
Quickly expanding product ranges and increasing individual choice options make it harder to pinpoint the personal taste of the consumer. The Sentient Recommender dives deep into that personal taste by analyzing the customer’s choices and recommending products that best fit their personal preferences. Recommender bases its insight in these personal preferences on a database that contains earlier choices by many other consumers. Conventional product recommendations are based on historical lending and sales data. “Customers that have borrowed this book have also looked at these titles”. The Sentient Recommender goes further than this, by interpreting the personal taste based on the unique combination of preferences. In this process, the popularity of choices plays an important role. Some choices are based on how well-known the products are, rather than the actual personal preference of the consumer.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Entertainment companies seeking a solution to personalize video discovery and entertainment marketing
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Audience
Businesses in need of a product recommendation engines solution
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationJinni
United States
www.jinni.com
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Company InformationSentient Information Systems
Founded: 1991
Netherlands
www.sentient.nl/sentient-recommender
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Integrations
No info available.
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Integrations
No info available.
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