REAL-TIME PERSONALIZED SUGGESTIONS FOR COMMUNICATIONS BETWEEN PARTICIPANTS

• US 20180239770A1
• Filed: 02/17/2017
• Published: 08/23/2018
• Est. Priority Date: 02/17/2017
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Ghotbi, Nikrouz, Fusaro, Eddie, Price, John Alton, DeVries, Jeff Roger
• Granted Patent: US 11,907,272 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 15/76 Architectures of general purpose stored program computers with program plugboard G06F15/08; multicomputers G06F15/16
• CPC Class Codes: G06F 16/3322 using system suggestions G06F16/3325 takes precedence
• CPC Class Codes: G06F 16/334 Query execution G06F16/335 takes precedence
• CPC Class Codes: G06F 16/338 Presentation of query results
• CPC Class Codes: G06F 3/0482 Interaction with lists of selectable items, e.g. menus
• CPC Class Codes: G06F 3/0484 for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
• CPC Class Codes: G06F 9/453 Help systems
• CPC Class Codes: G06Q 10/107 Computer-aided management of electronic mailing [e-mailing]
• CPC Class Codes: H04L 51/046 Interoperability with other network applications or services
• CPC Class Codes: H04L 67/306 User profiles

Abstract

Disclosed in some examples are methods, systems, machine-readable media, and devices which provide for real-time personalized suggestions for participants in a network-based communication service. The personalized suggestions may include options for taking actions, content suggestions, and smart replies. These suggestions may be based upon the current conversation and are delivered personally to each participant.

Claims

1. A machine-readable medium that stores instructions which when performed by a machine, cause the machine to perform operations comprising:

receiving, over a network, text of a network-based communication between a first user of a first device and a second user of a second device;

inputting the text of the communication to a plurality of intent models, each intent model testing the text for a different type of communicative intent;

receiving a set of one or more responses from one or more of the plurality of intent models, each response in the set indicating a calculated communicative intent of the communication;

generating a set of personalized suggestions based upon both the set of responses and a user profile of the first user;

ranking the set of suggestions relative to one another based upon a global model and a user model, the user model specific to preferences of the first user of the first device;

selecting a first and a second suggestion from the set of suggestions based upon the ranking, the first and second suggestions being different suggestion types; and

sending the first and second suggestion to the first device for presentation to the first user.

2. The machine-readable medium of claim 1, wherein the first suggestion is an action suggestion and wherein the operations further comprise:

receiving a confirmation input from the first device that the first user has selected a Graphical User Interface (GUI) element on the first device indicating a desire to perform an action corresponding to the action suggestion; and

responsive to receiving the confirmation input, sending a message to a computing device to implement the action.

3. The machine-readable medium of claim 2, wherein the action suggestion is a reminder for a particular time and wherein the computing device is a reminder service and the message sets a reminder for the particular time.

4. The machine-readable medium of claim 1, wherein the first suggestion is a content suggestion and wherein the operations further comprise:

receiving a confirmation input from the first device that the first user has selected a Graphical User Interface (GUI) element on the first device indicating a desire to receive content suggested by the content suggestion; and

responsive to receiving the confirmation input, sending the content to the first device.

5. The machine-readable medium of claim 1, wherein the first suggestion is a reply suggestion and wherein the operations further comprise:

receiving a confirmation input from the first device that the first user has selected a Graphical User Interface (GUI) element on the first device indicating a desire to receive content suggested by the first suggestion; and

responsive to receiving the confirmation input, sending a reply text corresponding to the reply suggestion to a communications service hosting the network-based communication.

6. The machine-readable medium of claim 1, wherein the operations further comprise:

populating the first suggestion with content based upon the user profile of the first user and information determined from a network-based service corresponding to the first suggestion.

7. The machine-readable medium of claim 1, wherein the operations for ranking the set of suggestions relative to one another comprises:

utilizing a set of heuristics, the set of heuristics applying a priority based ordering based upon type of suggestions.

8. A computer-implemented method for providing personalized suggestions, the method comprising:

using a computer processor;

receiving, over a network, text of a network-based communication between a first user of a first device and a second user of a second device;

inputting the text of the communication to a plurality of intent models, each intent model testing the text for a different type of communicative intent;

receiving a set of one or more responses from one or more of the plurality of intent models, each response in the set indicating a calculated communicative intent of the communication;

generating a set of suggestions based upon both the set of responses and a user profile of the first user;

ranking the set of suggestions relative to one another based upon a global model and a user model, the user model specific to the first user of the first device;

selecting a first and a second suggestion from the set of suggestions based upon the ranking, the first and second suggestions being different suggestion types; and

sending the first and second suggestion to the first device for presentation to the first user.

9. The method of claim 8, wherein the first suggestion is an action suggestion and wherein the method further comprises:

receiving a confirmation input from the first device that the first user has selected a Graphical User Interface (GUI) element on the first device indicating a desire to perform an action corresponding to the action suggestion; and

responsive to receiving the confirmation input, sending a message to a computing device to implement the action.

10. The method of claim 9, wherein the action suggestion is a reminder for a particular time and wherein the computing device is a reminder service and the message sets a reminder for the particular time.

11. The method of claim 8, wherein the first suggestion is a content suggestion and wherein the method further comprises:

receiving a confirmation input from the first device that the first user has selected a Graphical User Interface (GUI) element on the first device indicating a desire to receive content suggested by the content suggestion; and

responsive to receiving the confirmation input, sending the content to the first device.

12. The method of claim 8, wherein the first suggestion is a reply suggestion and wherein the method further comprises:

receiving a confirmation input from the first device that the first user has selected a Graphical User Interface (GUI) element on the first device indicating a desire to receive content suggested by the first suggestion; and

responsive to receiving the confirmation input, sending a reply text corresponding to the reply suggestion to a communications service hosting the network-based communication.

13. The method of claim 12, wherein the communications service is a network-based chat service.

14. A system that for providing personalized suggestions, the system comprising:

a processor;

a memory, communicatively coupled to the processor and including instructions, which when performed by the processor, causes the system to perform operations comprising;

receiving, over a network, text of a network-based communication between a first user of a first device and a second user of a second device;

inputting the text of the communication to a plurality of intent models, each intent model testing the text for a different type of communicative intent;

receiving a set of one or more responses from one or more of the plurality of intent models, each response in the set indicating a calculated communicative intent of the communication;

generating a set of suggestions based upon both the set of responses and a user profile of the first user;

ranking the set of suggestions relative to one another based upon a global model and a user model, the user model specific to the first user of the first device;

selecting a first and a second suggestion from the set of suggestions based upon the ranking, the first and second suggestions being different suggestion types; and

sending the first and second suggestion to the first device for presentation to the first user.

15. The system of claim 14, wherein the first suggestion is an action suggestion and wherein the operations further comprise:

receiving a confirmation input from the first device that the first user has selected a Graphical User Interface (GUI) element on the first device indicating a desire to perform an action corresponding to the action suggestion; and

responsive to receiving the confirmation input, sending a message to a computing device to implement the action.

16. The system of claim 15, wherein the action suggestion is a reminder for a particular time and wherein the computing device is a reminder service and the message sets a reminder for the particular time.

17. The system of claim 14, wherein the first suggestion is a content suggestion and wherein the operations further comprise:

receiving a confirmation input from the first device that the first user has selected a Graphical User Interface (GUI) element on the first device indicating a desire to receive content suggested by the content suggestion; and

responsive to receiving the confirmation input, sending the content to the first device.

18. The system of claim 14, wherein the first suggestion is a reply suggestion and wherein the operations further comprise:

receiving a confirmation input from the first device that the first user has selected a Graphical User Interface (GUI) element on the first device indicating a desire to receive content suggested by the first suggestion; and

responsive to receiving the confirmation input, sending a reply text corresponding to the reply suggestion to a communications service hosting the network-based communication.

19. The system of claim 14, wherein the operations for ranking the set of suggestions relative to one another comprises:

utilizing a set of heuristics, the set of heuristics applying a priority based ordering based upon type of suggestions.

20. The system of claim 19, wherein the operations for ranking the set of suggestions relative to one another comprises:

modifying a ranking produced by the set of heuristics based upon histories of interaction between a plurality of users and a plurality of suggestion types, the plurality of users including the first user and the second user and at least one third user, the third user not part of the network-based communication between the first and second user.