Product-Token Graphs for Contextual Content Retrieval
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Solution Overview
Problem
Collaboration platforms lack functionalities for searching, generating, and organizing product-tokenized contents related to user interactions and events, limiting the ability to capture and provide additional relevant information about custom products and media.
Innovation Solution
The implementation of product-tokens, which are generated using transform-invariant features and graphs, allowing for the creation of unique identifiers for custom products and media, enabling the retrieval of additional context data and content related to user interactions and events, and enhancing search functionalities within the platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If collaboration platforms provide basic product customization and ordering functionalities, then users can create and order custom products, but the platforms lack functionalities for searching and organizing product-tokenized contents related to user interactions and events
Solution Approach 1:
The patent segments product information into discrete product-tokens that represent specific features, attributes, or components of custom products. Each product-token encapsulates specific product data that can be independently searched, organized, and retrieved, enabling the platform to handle and preserve detailed context information about user interactions and events without overwhelming the system structure.
Solution Approach 2:
The patent introduces product-tokens as intermediary elements between users, custom products, and the collaboration platform. These tokens serve as mediators that carry and preserve context data about user interactions, events, and product specifications, enabling the platform to search, organize, and retrieve this information without requiring direct complex data structures.
2Loss of information
If the platform stores detailed information about user interactions and events, then additional relevant content can be provided, but searching and organizing this content becomes complex without product-tokens
Solution Approach 1:
By segmenting product information into standardized product-tokens with defined schemas, the patent simplifies the search and organization process. Each token represents a discrete unit of product data that can be efficiently indexed and queried, reducing the complexity of searching through detailed user interaction and event information while preserving all context data.
Solution Approach 2:
The patent transforms unstructured or semi-structured product information into structured product-tokens with standardized parameters and schemas. This parameterization enables efficient searching, filtering, and organization of content related to user interactions and events by allowing the system to query specific product attributes without processing entire data records.
3Adaptability or versatility
If the platform generates product-tokens for custom products and media, then unique identifiers and context data can be retrieved, but additional functionalities for content generation and search are required
Solution Approach 1:
The patent designs product-tokens as universal data structures that can represent various types of custom products and media uniformly. This multi-functionality allows the platform to generate, search, and organize diverse content types using the same token framework, reducing architectural complexity while enhancing content generation capabilities across different product and media types.
Solution Approach 2:
The patent performs preliminary action by generating product-tokens at the point of product creation or import, rather than attempting to create them later from existing data. This preliminary tokenization establishes a structured foundation that simplifies subsequent search, organization, and content generation operations, reducing the need for complex post-processing functionalities.
Data Source
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AI summary
In some embodiments, a computer-implemented method comprises: generating (762), by a server computer, a set of graphs of transform invariant features product-token pairs (GTIF product-token pairs); receiving (764), from a client application executing on a user device, a user request for additional contents related to an object; constructing (766), by the server computer, for the object, an object GTIF product-token capturing transform invariant features identified for the object; determining (768) whether the object GTIF product-token matches a particular pair of the set of GTIF product-token pairs; in response thereto, transmitting the particular additional content to the user device to cause (774) the user device to display the particular additional content on the user device.