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Description
Jinni's innovative platform, focused on matching content to audiences based on taste, is transforming how video content is discovered and how targeted digital advertising is executed for entertainment brands. Utilizing its proprietary Entertainment Genome™, which encompasses thousands of unique content attributes or "genes," Jinni excels at discerning the nuanced distinctions in TV shows and movies while also recognizing the individual preferences of each user, leading to an ideal alignment between viewers and content offerings. Our goal is to establish ourselves as the premier content-to-audience platform for entertainment brands, effectively using a single system to connect and promote entertainment titles to the most suitable audiences, significantly enhancing profitability for both platform operators and advertisers in the entertainment sector. The semantic algorithms developed by Jinni that link user preferences to relevant content are paving the way for the future of content discovery and recommendations within the industry. By continuously refining these algorithms, we aim to elevate the user experience and drive engagement to unprecedented levels.
Description
The rapid growth of product varieties and the increasing number of choices available complicate the task of identifying individual consumer tastes. The Sentient Recommender addresses this challenge by thoroughly examining each customer's selections and suggesting items that align closely with their unique preferences. This system draws its insights from a comprehensive database that includes the previous decisions of numerous other shoppers. Traditional recommendation systems rely primarily on past sales and borrowing patterns, such as “Customers who borrowed this book also explored these titles.” In contrast, the Sentient Recommender delves deeper, interpreting personal taste through a distinctive blend of preferences. A crucial aspect of this method is recognizing that the popularity of certain items influences consumer decisions, as some selections may be swayed more by a product’s notoriety than by genuine personal preference. By considering these dynamics, the Sentient Recommender aims to provide a more tailored and meaningful shopping experience for each user.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Jinni
Country
United States
Website
www.jinni.com
Vendor Details
Company Name
Sentient Information Systems
Founded
1991
Country
Netherlands
Website
www.sentient.nl/sentient-recommender