Moment-Based Gift and Design Generation from User Interactions
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Solution Overview
Problem
Collaboration platforms lack functionalities for creating moment-based events based on interactions between users, hindering the memorialization of events and generation of related gifts and designs.
Innovation Solution
A digital product collaboration platform captures context information from user interactions to suggest and generate moment-based gifts and designs, facilitating the memorialization of events and enabling additional interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If collaboration platforms provide basic digital product design functionalities, then users can create and customize digital products, but the platforms lack functionalities for creating moment-based events and memorializing user interactions
Solution Approach 1:
The system proactively captures context information from user interactions before the user needs to memorialize events. Context capture components continuously monitor and store interaction data, user profiles, and event details in advance, so when a moment-based event is triggered, the information is already prepared and available for gift and design generation.
Solution Approach 2:
The collaboration platform is enhanced to perform multiple functions: basic digital product design, context information capture, moment-based event creation, and personalized gift generation. The system uses a unified context information structure that serves both product customization and event memorialization purposes, making the platform versatile without requiring separate systems.
2Adaptability or versatility
If the platform captures and processes context information from user interactions, then moment-based gifts and designs can be generated, but system complexity increases
Solution Approach 1:
The system is divided into distinct modular components: context capture components that collect interaction data, context information structures that organize the data, moment-based event creation components that trigger events, and gift generation components that create personalized outputs. Each component has a specific responsibility, reducing overall system complexity while maintaining versatility.
Solution Approach 2:
Context information structures serve as intermediaries between user interactions and moment-based event generation. The structured context information acts as a standardized interface that translates diverse interaction data into a format suitable for event creation and gift generation, simplifying the integration between different system components.
3Productivity
If the platform generates personalized gifts and designs based on context information, then user engagement increases, but additional processing requirements increase system resource consumption
Solution Approach 1:
Context information is captured and structured in advance during normal user interactions, rather than being processed in real-time when gift generation is needed. This preliminary organization of data reduces the computational burden during moment-based event execution, as the system only needs to retrieve and assemble pre-processed information.
Solution Approach 2:
The system dynamically adjusts the level of personalization and complexity of generated gifts based on available context information and user preferences. When rich context information is available, more personalized gifts are generated; when context is limited, simpler gifts are created, optimizing resource usage while maintaining user engagement.
Data Source
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AI summary
In some embodiments, a computer-implemented method comprises: generating a group of customized products comprising one or more customized products, each customized product associated with a product type of a plurality of product types, each product type of the plurality of product types associated with a manufacturing constraint of multiple manufacturing constraints, each customized product having shared content that all customized products share; for a customized product from the group: obtaining a manufacturing method for manufacturing the customized product, determining a product type of the customized product and a manufacturing constraint associated with the product type, and determining physical constraints for manufacturing the customized product; generating transformed shared content to satisfy the physical constraints for manufacturing the customized product; in response to receiving a user input: automatically generating a GUI based on, at least in part, the shared content; using the GUI, generating a customized new product.