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A Method and System for Cognitively Planning Mobile Events

IP.com Disclosure Number: IPCOM000249004D
Publication Date: 2017-Jan-25
Document File: 2 page(s) / 75K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system is disclosed for cognitively planning mobile events. The method and system manages mobile event plans by dynamically monitoring crowd, pattern recognition, subject matter acquisition and trending dynamic changes.

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A Method and System for Cognitively Planning Mobile Events

Disclosed is a method and system for cognitively planning mobile events. The method and system manages mobile event plans by dynamically monitoring crowd, pattern recognition, subject matter acquisition and trending dynamic changes.

The method and system utilizes past events’ venues/sessions, attendance and traffic patterns and compares the data with an upcoming event. The method and system analyzes registered user profiles and suggests an attendance flow to the event. Subsequently, the method and system monitors the event in real-time and cognitively suggest alternative routes for registered users to avoid waiting in long lines during the event(s). Further, the method utilizes a mobile cognitive driven system to anticipate crowds, trends and subject recognition of the event(s) by utilizing machine learning and predictive analytics and enables the system to communicate cognitive findings and the dynamic situation of users regarding mobile event planning.

Figure illustrates a cognitive event planning system.

Figure

As illustrated in the Figure, the method and system is enabled to register an event which may include, but need not be limited to, conference, sporting events, educational events at colleges and universities, corporate events, entertainment events, concerts, fairs, bazaars, markets and the like. Once, the event is created/registered, individual user interested in attending the event is allowed to register for the event. Subsequently, the method and system captures venue characteristics which may include, but need not be limited to geographic location, capacity, building layout, past attendees, past traffic flows, social media trending topics, discussions and weather and stores the information

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in a database along with the individual user attributes.

The method and system utilizes cognitive learning engine to analyze newly created event with the past events and identifies the likenesses, differences...