Cross-App Entity Recognition via OS Framework
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Solution Overview
Problem
Users face inconvenience when attempting to purchase items they are interested in, especially when using apps other than web browsers or not visiting e-commerce sites, due to the complexity and fragmentation of purchase flows across multiple applications and devices.
Innovation Solution
A method that analyzes content across multiple applications and devices to identify acquirable entities of interest to the user, using an operating system or application framework to detect and rank these entities based on user interaction, and provides a unified interface for accessing and acquiring them.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If targeted advertising is performed using web browser functionality to monitor e-commerce sites, then advertising effectiveness is improved, but users using apps other than web browsers or not visiting e-commerce sites face additional inconvenience
Solution Approach 1:
The patent extends entity recognition functionality from web browsers to multiple application types including social media apps, news apps, and video apps. The operating system framework enables universal content analysis across different application contexts, allowing users to discover and purchase entities regardless of which application they are using.
Solution Approach 2:
The patent introduces an intermediary operating system framework that sits between various applications and the purchase system. This framework analyzes content across applications and bridges the gap between content consumption and purchasing, enabling seamless entity discovery and acquisition without requiring users to switch to specific e-commerce websites or browsers.
2Measurement precision
If the purchase flow includes multiple steps to ensure complete information gathering, then purchase accuracy is improved, but the number of steps increases causing users to drop off
Solution Approach 1:
The patent performs preliminary entity recognition and information gathering automatically as users consume content in various applications. The system pre-identifies entities of interest, gathers relevant information, and prepares purchase options before the user explicitly initiates a purchase, thereby reducing the number of steps the user must manually complete.
Solution Approach 2:
The patent implements self-service functionality where the system automatically monitors content across applications, identifies entities of interest, and presents purchase opportunities without requiring active user intervention. The operating system framework autonomously performs content analysis, entity extraction, and purchase facilitation, reducing the complexity of the purchase flow while maintaining accuracy.
3Adaptability or versatility
If users manually search for items across multiple applications and devices, then comprehensive entity discovery is improved, but time consumption increases significantly
Solution Approach 1:
The patent merges entity recognition capabilities across multiple applications and devices into a unified operating system framework. By combining content analysis from social media, news, video, and other applications into a single coordinated system, the patent achieves comprehensive entity discovery without requiring users to manually search across disparate platforms, significantly reducing time consumption.
Data Source
AI summary
A method of identifying, to a user, acquirable entities that the user may be interested in is disclosed. The method includes at a component configured to analyze information across a plurality of applications, analyzing in one or more of the applications being used by a user, content in the one or more applications. The method further includes based on the content, identifying one or more acquirable entities from the content. The method further includes identifying to the user the identified acquirable entities.