18120406. GENERATING AND DETERMINING ADDITIONAL CONTENT AND PRODUCTS BASED ON PRODUCT-TOKENS simplified abstract (ZAZZLE INC.)
Contents
GENERATING AND DETERMINING ADDITIONAL CONTENT AND PRODUCTS BASED ON PRODUCT-TOKENS
Organization Name
Inventor(s)
Robert I. Beaver, Iii of San Francisco CA (US)
Leslie Young Harvill of Olympia WA (US)
Matthew Difonzo of Belmont CA (US)
Brent Burgess of Winchester (GB)
GENERATING AND DETERMINING ADDITIONAL CONTENT AND PRODUCTS BASED ON PRODUCT-TOKENS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18120406 titled 'GENERATING AND DETERMINING ADDITIONAL CONTENT AND PRODUCTS BASED ON PRODUCT-TOKENS
The abstract describes a computer-implemented method involving a client application on a user device that generates a user interface to receive user characteristics associated with graph of transform invariant features product-tokens (GTIF product-tokens). The method includes receiving a particular characteristic, determining the corresponding GTIF product-token, and matching it with a particular pair of GTIF product-token pairs to display additional content based on the match.
- User device client application generates a user interface for receiving user characteristics
- User characteristics are associated with GTIF product-tokens
- Specific user characteristic is received via the user interface
- Corresponding GTIF product-token is determined
- Matching the GTIF product-token with a pair of GTIF product-token pairs
- Displaying additional content based on the match
Potential Applications: - Personalized content recommendation systems - Targeted advertising based on user characteristics - Enhanced user experience in applications by providing relevant content
Problems Solved: - Efficiently matching user characteristics with relevant content - Enhancing user engagement by displaying personalized content - Streamlining the process of content recommendation based on user data
Benefits: - Improved user satisfaction through personalized content - Increased user interaction with applications - Enhanced user experience by providing relevant information
Commercial Applications: Title: Personalized Content Recommendation System This technology can be utilized in various industries such as e-commerce, social media platforms, and entertainment apps to enhance user engagement and drive personalized content delivery. The market implications include increased user retention, higher click-through rates, and improved conversion rates for businesses.
Questions about the technology: 1. How does this method improve user engagement with applications? 2. What are the potential privacy concerns associated with collecting user characteristics for content recommendation systems?
Original Abstract Submitted
In some embodiments, a computer-implemented method comprises: using a client application executing on a user device, generating a user interface configured to receive one or more user characteristics; wherein the one or more user characteristics have been associated with one or more corresponding graph of transform invariant features product-tokens (GTIF product-tokens); receiving, by the client application executing on the user device, via the user interface, a particular characteristic of the one or more user characteristics; determining, by the client application, a particular GTIF product-token associated with the particular characteristic of the one or more user characteristics; determining whether the particular GTIF product-token, associated with the particular characteristic, matches a particular pair of a set of GTIF product-token pairs; in response to determining that the particular GTIF product-token matches the particular pair, determining particular additional content based on the particular pair, and displaying the particular additional content on the user device.
