Activity-Based User Matching Through Event Location Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems fail to effectively match users based on their activities and geographic locations, limiting the ability to connect with others engaged in similar events or hobbies.
Innovation Solution
A system and process utilizing a computer network to register users, track their activities and locations, and match them with others at events or through shared interests, employing microprocessors to facilitate connections based on geographic proximity and hobby weights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users are matched based on multiple criteria (activity, location, time), then matching accuracy improves, but system complexity increases
Solution Approach 1:
The matching system is divided into separate functional modules: activity detection module, location tracking module, time synchronization module, and matching algorithm module. Each module handles a specific aspect of the matching process independently, reducing overall system complexity while maintaining high matching accuracy through coordinated operation of specialized components.
Solution Approach 2:
A central server acts as an intermediary between users' mobile devices, receiving activity data, location information, and timing data from multiple sources, then processing this information through standardized algorithms to generate matches. This intermediary architecture simplifies the complexity by centralizing the matching logic rather than requiring complex peer-to-peer coordination.
2Reliability
If real-time tracking of user activities and locations is implemented, then user connection quality improves, but data processing requirements increase
Solution Approach 1:
The system extracts only the essential data elements needed for matching from the full set of user data: activity type, location coordinates, and timestamp. Non-essential data is filtered out before processing, reducing the quantity of data that needs to be handled while maintaining the reliability of user connections through focused processing of critical matching parameters.
Solution Approach 2:
The system processes data at appropriate intervals rather than continuously, updating user profiles and matching algorithms with periodic batches of activity and location data. This partial processing approach reduces the overall data processing requirements while maintaining sufficient real-time accuracy for effective user connections.
Data Source
AI summary
There is a system and a process for coordinating users over a computer network. This system and process includes a network of computers having at least one microprocessor. The microprocessor is configured to perform the following tasks: First, registering at least one user on a computer network. Next, storing a first set of data about the user in the computer network. Next, tracking the location of events, wherein each event has a particular geographic location. Next, tracking an activity of users with respect to said events. Next, reporting on whether at least one user has arrived at any one of these events. Next, matching at least one user with another user on the network at the at least one event. Thus, there is created a system and a process for matching users to each other, particularly via events and other activities.