Product-Token Matching for Contextual Additional Content Retrieval
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Solution Overview
Problem
Collaboration platforms lack functionalities for searching, adding, and browsing product-tokenized additional contents related to user interactions and events, limiting the customization and enhancement of digital and physical products.
Innovation Solution
The generation and utilization of product-tokens, which are unique identifiers generated from transform-invariant features of custom products, allow for the detection and display of additional contextually relevant content and products through neural network-based matching and AI services, enhancing user interactions and event-related content organization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If collaboration platforms provide basic product customization functionalities, then users can create and order digital and physical products, but the platforms lack functionalities for searching, adding, and browsing product-tokenized additional contents related to user interactions and events
Solution Approach 1:
The patent segments the platform functionality by introducing product-tokens as separate, identifiable units that represent specific products, events, or user interactions. Each product-token acts as an independent segment that can be individually searched, added, and browsed, while collectively enhancing the overall platform versatility without requiring complete system redesign
Solution Approach 2:
The patent introduces product-tokens as intermediary elements that mediate between the collaboration platform and additional content. These tokens serve as searchable identifiers that link users to contextually relevant content, events, and products, enabling the platform to provide enhanced functionality while maintaining organized access to additional information
2Ease of operation
If the platform stores and manages additional content related to user interactions, then user experience is enhanced, but the system complexity increases
Solution Approach 1:
The patent uses product-tokens as simplified copies or representations of complex products, events, and user interactions. Instead of managing the full complexity of original items, the system creates tokenized copies that retain essential identifying features and can be easily searched, stored, and managed, thereby enhancing user experience without proportionally increasing system complexity
Solution Approach 2:
The patent transforms complex product and event data into standardized token parameters. By changing the representation from detailed complex structures to standardized token formats with key identifiers and metadata, the system enables efficient storage and retrieval of additional content while reducing the operational complexity of managing diverse user interaction data
Data Source
AI summary
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.