Event Network Engine Proximity Matching
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Solution Overview
Problem
Existing social networking systems lack efficient methods to connect attendees at events based on their shared interests and professional connections, failing to utilize real-time data and proximity to facilitate meaningful interactions.
Innovation Solution
The Event Network Engine determines the presence of social network members within a threshold distance of an event location and generates notifications on wearable client devices, creating event connections graphs and sending messages between attendees with matching interests and professional connections, leveraging historical browsing and profile data to identify relevant relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time proximity detection and notification systems are implemented at events, then networking efficiency and connection quality are improved, but device complexity and system resource requirements increase
Solution Approach 1:
The patent introduces an event network engine as an intermediary system that manages the complex tasks of proximity detection, attendee matching, and notification coordination. This mediator handles the computational burden of real-time data processing and relationship mapping, allowing individual attendee devices to remain relatively simple while still benefiting from sophisticated networking capabilities through the central coordinating system.
Solution Approach 2:
The system performs preliminary actions by pre-processing attendee profiles, interests, and professional connections before the event occurs. The event network engine creates event connection graphs in advance and pre-identifies potential matches based on stored social network data. This preliminary preparation reduces the computational load during the actual event, enabling faster real-time notifications without requiring overly complex devices at the moment of interaction.
2Reliability
If comprehensive profile data and historical browsing data are analyzed to identify relevant connections, then connection relevance and networking quality are improved, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary analysis of attendee profiles, interests, and browsing histories before the event to pre-identify potential connections and create event connection graphs. By processing and analyzing comprehensive data sets in advance, the system prepares match recommendations and relationship mappings beforehand, so that during the event, only minimal real-time processing is needed to generate and send notifications, significantly reducing the perceived data processing time for users.
Solution Approach 2:
The patent replaces manual networking processes with an automated computational system that efficiently processes profile data and browsing histories. The event network engine uses algorithmic matching based on stored social network data, interests, and professional connections to identify relevant attendees, substituting the time-consuming manual process of evaluating compatibility with an automated system that can rapidly analyze multiple data dimensions simultaneously.
3Speed
If notifications are sent to wearable devices in real-time, then interaction speed and networking opportunities are improved, but energy consumption and device battery requirements increase
Solution Approach 1:
The system implements periodic notification delivery rather than continuous real-time pushing. The event network engine batches connection recommendations and sends notifications at intervals or triggered by specific events (e.g., when attendees are in proximity, at scheduled breaks, or when new matches are identified). This periodic approach maintains fast interaction speeds for important connections while allowing the wearable devices to enter low-power states between notifications, significantly reducing overall energy consumption compared to continuous active monitoring and notification delivery.
Data Source
AI summary
A system, a machine-readable storage medium storing instructions, and a computer-implemented method as described herein are directed to an Event Network Engine. The Event Network Engine determines a presence of a target member account of a social networking service within a threshold distance from a physical location during an event time range. The Event Network Engine determines a presence of a second member account of the social networking service within the threshold distance from the physical location during the event time range is concurrent with the presence of the target member account. The Event Network Engine determines, based on social network member data, a relationship between the target member account and the second member account exists in the social networking service. Based on the relationship, the Event Network Engine causes a display of a notification for display on a client device associated with the target member account.