Event Recommendation System Using Modular Segmentation

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Solution Overview

Problem

There is a lack of comprehensive systems for users to find and attend events, as well as for event organizers to evaluate the likelihood of success and receive recommendations for their events, with no existing means to anticipate event success or provide recommendations for increasing attendance.

Innovation Solution

A system comprising user, organizer, and administrator modules, with algorithms for event recommendation, including an event recommender task algorithm that uses user preferences and regional data to suggest events based on a percent match, and provides tools for event planning, ticketing, and group organization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a comprehensive event recommendation system is implemented, then user event discovery and organizer success evaluation are improved, but system complexity increases

Engineering Contradiction:

Improveevent recommendation capabilityVSAvoidsystem structure

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system is divided into three distinct modules: user module for event discovery and attendance, organizer module for event creation and success evaluation, and administrator module for system management. This segmentation allows each module to specialize in specific functions while reducing overall system complexity through modular design.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The event recommendation algorithm serves multiple purposes: it recommends events to users based on their preferences and simultaneously evaluates event success likelihood for organizers. This multi-functionality reduces the need for separate systems while improving overall efficiency.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Productivity

If personalized event recommendations are provided to users, then user engagement increases, but data processing requirements increase

Engineering Contradiction:

Improveuser engagementVSAvoiddata processing volume

Core Design Contradiction:

ProductivityVSQuantity of substance

Solution Approach 1:

The system creates personalized user profiles that store only the specific event preferences and attendance history relevant to each user. This local quality approach ensures that data processing is focused on individual user characteristics rather than processing all available event data for every user, reducing overall data processing requirements while maintaining high personalization quality.

Inventive Principle:

Principle #3Local quality

3Reliability

If event success evaluation algorithms are implemented, then organizer decision-making is improved, but computational requirements increase

Engineering Contradiction:

Improveevent success predictionVSAvoidcomputational energy

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system pre-calculates and stores event success metrics based on historical data and regional event patterns before organizers need to evaluate new events. This preliminary action allows the evaluation algorithm to quickly compare new event proposals against pre-processed data, reducing real-time computational energy requirements while maintaining high prediction reliability.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250005466A1Systems and methods for event organizing and attending ecosystem

Publication Date: 2025.01.02 NRBY IO INC

AI summary

The present disclosure relates to a novel and advantageous system and method for event organizing and attending. In particular, the present disclosure relates to an event system including a user module, an organizer module, and an administrator module. The event system is usable by an event organizer to plan an event, book a venue, offer merchandise, and offer ticketing. The event system is usable by a user to receive recommendations about events, to buy tickets to events, and to organize a group of people to attend events and communicate about and at the event.