Aircraft-Based User Recommendation via Server Mediation

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Solution Overview

Problem

Current user recommendation methods in social networking applications are limited as they only allow users to find and connect with others based on location information obtained from their own mobile devices, lacking flexibility and diversity in identifying nearby users.

Innovation Solution

A system and method that utilizes a mobile terminal and a server to receive location information from an aircraft, search for and recommend nearby users within a specified range, allowing for a more comprehensive and flexible user recommendation process by using aircraft-based positioning and real-time data transmission.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If user recommendation is based solely on mobile terminal location information, then the recommendation system is simple to implement, but the flexibility and diversity of identifying nearby users is limited

Engineering Contradiction:
Improveflexibility and diversity of identifying nearby usersVSAvoidcomplexity of recommendation system
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent applies universality by enabling multiple types of devices (mobile terminals and aircraft) to serve as location sources for user recommendation. The server receives location information from various device types and processes them uniformly, allowing the system to identify nearby users through diverse platforms including mobile phones and aircraft, thereby increasing flexibility and diversity without requiring separate recommendation systems for each device type

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The server acts as an intermediary that receives location information from different sources (mobile terminals and aircraft), processes the data, and generates recommendation lists. This mediator approach allows the system to handle multiple device types through a unified processing mechanism, maintaining system simplicity while achieving versatility in user identification

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If location information is obtained only from the user's own mobile device, then the system requires minimal components, but the ability to find and connect with nearby users is constrained

Engineering Contradiction:
Improveeffectiveness of finding and connecting with nearby usersVSAvoidnumber of system components
Core Design Contradiction:
ProductivityVSQuantity of substance

Solution Approach 1:

The system enables both mobile terminals and aircraft to function as location information sources for user recommendation. The server processes location data from either device type uniformly, allowing users to find nearby users through multiple platforms. This multi-functionality increases the effectiveness of user discovery without requiring separate recommendation systems for each device type

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent merges the functionality of mobile terminal-based recommendation and aircraft-based recommendation into a single unified system. The server combines location information from both device types and generates comprehensive recommendation lists, allowing users to access nearby user recommendations through either platform, thereby improving productivity while avoiding the need for duplicate systems

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS10111029B2User recommendation method and system, mobile terminal, and server
Publication Date: 2018.10.23 TENCENT TECHNOLOGY (SHENZHEN) CO LTD
  • US10111029B2 patent drawing
  • US10111029B2 patent drawing
  • US10111029B2 patent drawing

AI summary

A user recommendation method is described. First location information sent by an aircraft is received, where the first location information indicating a first location of a first user. A first user identifier and the first location information are sent to a server. A second user identifier is found by the server and received, where a location associated with the second user is within a range of the first location. A user recommendation list is generated according to the second user identifier.