INTELLIGENT AUTOMATED MESSAGING FOR COMPUTER-IMPLEMENTED DEVICES

• US 20160218997A1
• Filed: 04/04/2016
• Published: 07/28/2016
• Est. Priority Date: 02/14/2012
• Status: Active Grant

• Current Assignee: Salesforce.com, Inc.
• Original Assignee: Salesforce.com, Inc.
• Inventors: Patil, Dipak
• Granted Patent: US 9,749,267 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 40/274 Converting codes to words; Guess-ahead of partial word inputs
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 10/107 Computer-aided management of electronic mailing [e-mailing]
• CPC Class Codes: H04L 51/02 using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages

Abstract

Various computer-implemented systems and methods are provided here for purposes of intelligent predictive messaging. An exemplary system can be operated to obtain message context data associated with a messaging session, process the message context data to obtain suggested message content for the messaging session, and automatically populate a message field of a user device with at least some of the suggested message content. The system may proceed by sending a message from the user device, where the message includes content of the message field.

Claims

1. A computer-implemented method of intelligent predictive messaging, the method comprising:

obtaining, at a message prediction engine from a user device, message context data indicative of context of a conversation taking place between particular people during a messaging session;

processing the message context data, at the message prediction engine, to determine, based on prior conversation patterns between those particular people, a predicted conversation pattern of the conversation that is taking place between the particular people;

determining, at the message prediction engine based on the predicted conversation pattern, recommended text that indicates suggested language to be included in a message as part of the conversation to complete at least part of the message, wherein the suggested language corresponds to the message context data indicative of the context of the conversation;

displaying the recommended text within a message field.

2. The method of claim 1, wherein the message prediction engine is implemented at the user device.

3. The method of claim 1, wherein the message predication engine is implemented at a computing system that is communicatively coupled to the user device via a network.

4. The method of claim 1, wherein displaying comprises:

displaying the recommended text within the message field at the user device.

5. The method of claim 1, wherein the user device is a first user device, and wherein displaying comprises:

displaying the recommended text within the message field at a second user device that is part of the messaging session with the first user device.

6. The method of claim 1, wherein displaying further comprises:

automatically populating the message field with at least some of the suggested language.

7. The method of claim 6, further comprising:

after automatically populating, sending the message from the user device, the message including the at least some of the suggested language that has been automatically populated in the message field.

8. The method of claim 1, wherein processing comprises:

processing the message context data, at the message prediction engine, to determine, based on the prior conversation patterns between those particular people, a predicted messaging scenario of the conversation between the particular people, wherein the predicted messaging scenario includes;

the predicted conversation pattern of the conversation that is taking place between the particular people who are participants in the conversation.

9. The method of claim 1, wherein the method further comprises:

after processing the message context data, updating the message prediction engine in response to sending the message.

10. The method of claim 1, wherein the recommended text comprises:

options for suggested language that are predicted to compete at least part of the message, wherein the suggested language to be included in the message comprises;

a plurality of suggested entries for the messaging session, wherein each of the suggested entries comprises;

a different recommended lines of text, wherein each of the different lines of text indicates different suggested language for the message corresponding to the message context data; and

wherein the method further comprises;

providing the plurality of suggested entries for presentation at the user device;

selecting one of the plurality of suggested entries, resulting in a selected entry; and

wherein automatically populating the message field comprises;

automatically populating the message field with the selected entry.

11. The method of claim 10, wherein:

the plurality of suggested entries is provided in a user-selectable format; and

the selecting is performed in response to user selection of one of the plurality of suggested entries.

12. The method of claim 11, wherein the plurality of suggested entries is provided by an intelligent auto-fill technique.

13. The method of claim 1, wherein the message context data comprises at least one of:

an identification of at least one participant of the messaging session;

a time associated with the messaging session;

location information that indicates a location of the user device;

historical message content associated with the messaging session; and

calendar information associated with at least one participant of the messaging session.

14. A computer-implemented method of intelligent predictive messaging, the method comprising:

initiating a messaging session between a first user of first user device and a second user of a second user device, wherein the first user and the second user are participants in a conversation taking place as part of the messaging session;

receiving, at a message prediction engine from the first user device or the second user device, message context data associated with the messaging session that indicates a characteristic of the conversation;

determining, at the message prediction engine based on the characteristic of the conversation that is indicative of context of the conversation, a predicted conversation pattern of the conversation;

determining, based on the predicted conversation pattern, recommended text that indicates suggested language to be included in a message as part of the conversation to complete at least part of the message, wherein the suggested language corresponds to the characteristic of the conversation indicative of the context of the conversation; and

providing, to the first user device or to the second user device, suggested message content that comprises the recommended text, and displaying the suggested message content within a message field at the first user device or the second user device.

15. The system of claim 14, wherein the message prediction engine is implemented at the first user device.

16. The system of claim 14, wherein the message prediction engine is implemented at the second user device.

17. The system of claim 14, further comprising:

a computing system that is communicatively coupled to the first user device and the second user device via a network, wherein the message prediction engine is implemented at the computing system.

18. The system of claim 14, wherein determining, at a message prediction engine based on a characteristic of the conversation that is indicative of context of the conversation, a predicted conversation pattern of the conversation, comprises:

determining, at the message prediction engine based on the characteristic of the conversation that is indicative of context of the conversation and prior conversation patterns between those participants of the conversation, a predicted messaging scenario that includes the predicted conversation pattern of the conversation that is taking place between the first user and the second user during the messaging session, wherein the first user and the second user are people, and wherein the suggested message content is influenced by the predicted messaging scenario.

19. The system of claim 14, wherein the recommended text comprises options for suggested language that are predicted to compete at least part of the message.

20. A computer-implemented system, comprising:

a first user device; and

a system configured to execute a message prediction engine, the system comprising;

a processor and a memory, wherein the memory comprises a non-transitory computer-readable-medium having computer-executable instructions for the message predication engine stored therein that, when executed by the processor, cause the processor to;

obtain, at the message prediction engine from the first user device, message context data indicative of context of a conversation taking place between a first user of the first user device and a second user of a second user device;

analyze the message context data, at the message prediction engine, to determine, based on prior conversation patterns between the first user and the second user a predicted conversation pattern of the conversation that is taking place between the first user and the second user who are participating in the conversation;

generate, at the message prediction engine based on the predicted conversation pattern, suggested message content that comprises;

recommended text that indicates suggested language to be included in a message as part of the conversation to complete at least part of the message, wherein the suggested language corresponds to the message context data indicative of the context of the conversation; and

provide the recommended text to either the first user device or the second user device.

21. The system of claim 20, wherein the system is part of the first user device, and wherein the message predication engine is implemented at the first user device, wherein the recommended text is presented within a message field at the first user device, and automatically populates the message field with at least some of the suggested language.

22. The system of claim 20, wherein the system is the second user device that is participating in the messaging session with the first user device, wherein the message prediction engine is implemented at the second user device, wherein the recommended text is presented within a message field at the second user device, and automatically populates the message field with at least some of the suggested language.

23. The system of claim 20, wherein the system is a computing system that is communicatively coupled to the first user device via a network, wherein the message prediction engine is implemented at the computing system, wherein the recommended text is presented within a message field at the first user device or the second user device, and automatically populates the message field with at least some of the suggested language.