Wearable Device Identifier Acquisition for User Recommendation
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Solution Overview
Problem
Conventional user recommendation methods in social networking applications rely heavily on personal information disclosed by users, limiting their accuracy and effectiveness.
Innovation Solution
A method and system that utilize wearable devices to detect and upload identifiers of nearby devices to a server, which then associates this information with user data for more accurate user recommendations, including geographic location and social account information, to enhance recommendation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional user recommendation methods rely on personal information disclosed by users, then the implementation is simple, but the recommendation accuracy is limited
Solution Approach 1:
The system segments the recommendation process into multiple components: wearable devices detect nearby devices, terminal devices collect encounter information, servers process and associate data with user profiles, and finally generate recommendations. This segmentation allows each component to specialize, improving overall accuracy while distributing complexity across the system architecture.
Solution Approach 2:
The patent introduces terminal devices and servers as intermediaries between wearable devices and the recommendation system. Terminal devices aggregate encounter data from multiple wearable devices, and servers perform complex data association and analysis. These intermediaries handle the complexity of data processing, enabling accurate recommendations without requiring complex logic in individual wearable devices.
2Measurement precision
If wearable devices detect and upload identifiers of nearby devices, then user recommendation accuracy improves, but data processing complexity increases
Solution Approach 1:
The system performs preliminary actions by having wearable devices continuously detect and terminal devices continuously collect encounter information in the background. This data is pre-processed and stored before being needed for recommendations, so when a recommendation is requested, the server can quickly query and associate already-prepared data, reducing real-time processing complexity.
Solution Approach 2:
Wearable devices automatically detect nearby devices and upload identifiers without user intervention. Terminal devices automatically collect and upload encounter information. This self-service automation reduces the need for manual data input and processing, allowing the system to handle complex data associations through automated server-side processing rather than complex user-side operations.
3Adaptability or versatility
If the system collects encounter frequency and location data, then recommendation relevance improves, but information storage requirements increase
Solution Approach 1:
The system extracts only the essential elements needed for recommendations from the raw encounter data. Instead of storing all detailed interaction information, the server extracts key features such as encounter frequency counts and location data, associating these with user profiles. This extraction reduces storage requirements while maintaining the ability to generate relevant recommendations based on the most important patterns.
Data Source
AI summary
The present disclosure relates to a method for acquiring user information in a terminal device for acquiring user information and a terminal device thereof, and a method for acquiring user information in a server and a server thereof. The method includes: receiving acquisition information uploaded by a first wearable device bound. Herein the acquisition information comprises an identifier for identifying a second wearable device detected by the first wearable device; uploading the acquisition information to a server; receiving the user information pushed by the server. Herein the user information is obtained by the server according to the identifier and is associated with the acquisition information; and performing a processing operation according to the user information.