ANALYZING EVENT-ASSOCIATED CONNECTIONS

• US 20190026758A1
• Filed: 07/24/2017
• Published: 01/24/2019
• Est. Priority Date: 07/24/2017
• Status: Active Grant

• Current Assignee: Accenture Global Solutions Limited (Accenture PLC)
• Original Assignee: Accenture Global Solutions Limited (Accenture PLC)
• Inventors: RAM BHUYAN, Mukunda, ROY, Subhasish, THOTTIKKARA, Bibin George, MUKHOPADYAYA, Sudipta
• Granted Patent: US 10,643,224 B2
• Time in Patent Office: Days
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A device may receive information related to connections between two or more attendees of an event or subsequent interactions between the two or more attendees. The device may process the information using a set of techniques to permit an analysis of the connections and the subsequent interactions. The device may determine a score related to the event based on a result of analyzing the connections and the subsequent interactions. The score may indicate a level of success of the event with respect to the connections or the subsequent interactions. The device may perform an action based on the score.

Claims

1. A device, comprising:

one or more processors to;

receive information related to connections between two or more attendees of an event or subsequent interactions between the two or more attendees after the event,

the information including contact information associated with the two or more attendees;

process the information using a set of techniques to identify the connections or the subsequent interactions,

the set of techniques including;

a text processing technique, or

an audio data processing technique;

determine a score related to the event based on the connections or the subsequent interactions associated with the two or more attendees of the event,

the score indicating a level of success of the event; and

perform an action related to the event based on the score.

2. The device of claim 1, where the one or more processors are further to:

determine whether the two or more attendees have previously exchanged the contact information; and

where the one or more processors, when determining the score, are to;

determine the score based on whether the two or more attendees have previously exchanged the contact information.

3. The device of claim 1, where the one or more processors are further to:

identify a set of events associated with a threshold score after determining the score for the event; and

where the one or more processors, when performing the action, are to;

generate a report that identifies the set of events; and

output the report for display after generating the report.

4. The device of claim 1, where the one or more processors are further to:

determine whether a first type of subsequent interaction, included in the subsequent interactions, is related to a second type of subsequent interaction included in the subsequent interactions; and

where the one or more processors, when determining the score, are to;

determine the score based on whether the first type of subsequent interaction is related to the second type of subsequent interaction.

5. The device of claim 1, where the set of techniques are related to processing text data, and where the set of techniques includes:

a natural language processing technique,

a text analysis technique, or

a computational linguistics technique.

6. The device of claim 1, where the set of techniques are related to processing audio data, and

where the set of techniques includes:

a speech-to-text technique,

a computer speech recognition technique, or

an automatic speech recognition technique.

7. The device of claim 1, where the one or more processors are further to:

perform an analysis of the information using machine learning; and

where the one or more processors, when performing the action, are to;

generate a prediction related to another level of success of another event based on a result of performing the analysis.

8. A method, comprising:

receiving, by a device, information related to an event,

the information relating to;

connections between two or more attendees of the event that exchanged contact information at the event, or

subsequent interactions between the two or more attendees after exchanging the contact information;

processing, by the device, the information using a set of techniques to identify the connections or the subsequent interactions;

determining, by the device, a score related to the event that indicates a level of success of the event with respect to the connections or the subsequent interactions,

the score being determined using the information related to the connections or the subsequent interactions; and

performing, by the device, an action related to the event based on the score.

9. The method of claim 8, further comprising:

determining whether the two or more attendees have previously exchanged the contact information or a timing of a prior exchange of the contact information; and

where determining the score comprises;

determining the score based on whether the two or more attendees have previously exchanged the contact information or the timing of the prior exchange of the contact information.

10. The method of claim 8, where performing the action comprises:

generating a recommendation related to a set of future events to which to send an attendee, of the two or more attendees, or another individual based on the score for the event.

11. The method of claim 8, further comprising:

determining a content or a nature of the subsequent interactions of the two or more attendees; and

where determining the score comprises;

determining the score based on the content or the nature of the subsequent interactions.

12. The method of claim 8, where determining the score comprises:

determining the score based on whether the two or more attendees have previously exchanged the contact information.

13. The method of claim 8, further comprising:

determining whether a connection, of the connections, is related to another connection; and

where determining the score comprises;

determining the score based on whether the connection is related to another connection.

14. The method of claim 8, where performing the action comprises:

scheduling a meeting related to the event or an attendee, of the two or more attendees, after determining the score for the event.

15. A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions that, when executed by one or more processors, cause the one or more processors to;

receive information related to connections between two or more attendees of an event or subsequent interactions between the two or more attendees,

the information being received from;

a client device associated with one of the two or more attendees, or

a server device;

process the information using a set of techniques to permit an analysis of the connections and the subsequent interactions;

determine a score related to the event based on a result of analyzing the connections and the subsequent interactions,

the score indicating a level of success of the event with respect to the connections or the subsequent interactions; and

perform an action based on the score.

16. The non-transitory computer-readable medium of claim 15, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

determine whether a subsequent interaction, of the subsequent interactions, is a particular type of subsequent interaction; and

where the one or more instructions, that cause the one or more processors to determine the score, cause the one or more processors to;

determine the score based on whether the subsequent interaction is the particular type of subsequent interaction.

17. The non-transitory computer-readable medium of claim 15, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

determine whether the two or more attendees had a subsequent interaction;

determine a timing of the subsequent interaction after determining that the two or more attendees had the subsequent interaction; and

where the one or more instructions, that cause the one or more processors to determine the score, cause the one or more processors to;

determine the score based on whether the two or more attendees had the subsequent interaction or the timing of the subsequent interaction.

18. The non-transitory computer-readable medium of claim 15, where the one or more instructions, that cause the one or more processors to process the information, cause the one or more processors to:

process the information to identify a term or phrase included in the information; and

where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to;

identify the connections or the subsequent interactions after identifying the term or phrase included in the information.

19. The non-transitory computer-readable medium of claim 15, where the one or more instructions, that cause the one or more processors to perform the action, cause the one or more processors to:

perform another analysis of the information using machine learning to permit generation of a prediction related to another level of success of another event.

20. The non-transitory computer-readable medium of claim 15, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

generate a recommendation related to whether to have an attendee, of the two or more attendees, attend a future event; and

where the one or more instructions, that cause the one or more processors to perform the action, cause the one or more processors to;

provide information identifying the recommendation for display after generating the recommendation.