18120407. 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 18120407 titled 'GENERATING AND DETERMINING ADDITIONAL CONTENT AND PRODUCTS BASED ON PRODUCT-TOKENS
In some embodiments, a computer-implemented method involves using a client application on a user device to display search keywords associated with a product the user is viewing. The user interface shows graphical representations of the search keywords and determines if a keyword is selected. If a selected keyword matches a product-token pair, additional content based on that pair is displayed on the user device.
- Client application generates user interface with search keywords
- Graphical representations of search keywords displayed on user device
- Determines if a search keyword is selected
- Matches selected keyword with product-token pair
- Displays additional content based on the matched pair
Potential Applications: - E-commerce platforms for personalized product recommendations - Online advertising for targeted marketing campaigns - Content recommendation systems for enhanced user experience
Problems Solved: - Providing relevant information to users based on their product interests - Improving user engagement and interaction with displayed content - Enhancing the overall user experience on digital platforms
Benefits: - Increased user engagement and interaction - Personalized content recommendations - Improved user satisfaction and retention rates
Commercial Applications: Title: Personalized Product Recommendation System for E-commerce Platforms This technology can be utilized by e-commerce websites to enhance user experience and drive sales through personalized product recommendations based on user interests and preferences.
Questions about Personalized Product Recommendation System: 1. How does this technology improve user engagement on e-commerce platforms? - This technology enhances user engagement by providing personalized product recommendations based on the user's interests, increasing the likelihood of a purchase. 2. What are the potential challenges in implementing a personalized product recommendation system? - Some challenges may include data privacy concerns, algorithm accuracy, and user acceptance of personalized recommendations.
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 display one or more search keywords that are associated with a product that a user is viewing on a screen of the user device; displaying the user interface on the user device to depict graphical representations of the one or more search keywords; determining, by the client application, whether a particular search keyword was selected from the one or more search keywords displayed on the user device; in response: determining whether an object GTIF product-token, associated with the particular search keyword, matches a particular pair of a set of GTIF product-token pairs; in response to determining that the object 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.
