Messaging Service with Conversation Suggestions

• US 20150207765A1
• Filed: 01/16/2015
• Published: 07/23/2015
• Est. Priority Date: 01/17/2014
• Status: Abandoned Application

• Current Assignee: Bryan Smith, Jeremy Walsh, Nathaniel Brantingham
• Original Assignee: Bryan Smith, Jeremy Walsh, Nathaniel Brantingham
• Inventors: Brantingham, Nathaniel, Walsh, Jeremy, Smith, Bryan
• Application Number:
  US14/598,912
• Publication Number:
  US 20150207765A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04L 51/046 Interoperability with other network applications or services
• CPC Class Codes: H04L 51/216 Handling conversation history, e.g. grouping of messages in sessions or threads

Abstract

A messaging service may enhance communication between users by providing conversation suggestions. In some implementations, the messaging service may enable users to communicate with each other in a back-and-forth manner. As the users communicate, the messaging service may provide suggestions regarding conversation ideas that may be of interest for the users to discuss. The suggestions may be based on conversation metrics, a comparison of user profiles for the users, and a variety of other information.

Claims

1. A method comprising:

causing, by a computing device, a conversation user interface to be displayed via an electronic device to facilitate a conversation between a first user and a second user;

monitoring, by the computing device, the conversation between the first user and the second user;

analyzing, by the computing device, a user profile associated with the first user and a user profile associated with the second user to determine a conversation suggestion, the user profile that is associated with the first user being inaccessible to the second user and the user profile that is associated with the second user being inaccessible to the first user;

determining, by the computing device and based at least in part on the monitoring, that a suggestion event has occurred; and

in response to determining the occurrence of the suggestion event, causing the conversation suggestion to be presented via the conversation user interface.

2. The method of claim 1, wherein the determining that the suggestion event has occurred comprises determining that a period of inactivity has occurred during which at least one of the first user or the second user has not engaged in the conversation.

3. The method of claim 1, wherein the determining that the suggestion event has occurred comprises determining that at least one of a predetermined word, a predetermined phrase, or a predetermined emoticon has been used during the conversation by at least one of the first user or the second user.

4. The method of claim 1, wherein the determining that the suggestion event has occurred comprises determining that at least one of a word, a phrase, or an emoticon has been used more than a predetermined number of times within a period of time during the conversation.

5. The method of claim 1, wherein the conversation suggestion includes advertisement content to be discussed during the conversation.

6. The method of claim 1, further comprising:

generating the user profile that is associated with the first user based at least in part on the monitoring, the user profile that is associated with the first user being inaccessible to the first user.

7. One or more non-transitory computer-readable storage media storing computer-readable instructions that, when executed by one or more processors, instruct the one or more processors to perform operations comprising:

causing a conversation interface to be presented to facilitate a conversation between a user and another user; and

causing a suggestion to be presented to assist at least one of the user or the other user in the conversation, the suggestion being presented via the conversation interface.

8. The one or more non-transitory computer-readable storage media of claim 7, wherein the operations further comprise:

comparing a user profile associated with the user to a user profile associated with the other user to identify common information; and

determining the suggestion based at least in part on the common information.

9. The one or more non-transitory computer-readable storage media of claim 7, wherein the operations further comprise determining the suggestion based at least in part on a topic that is deemed to be of interest to at least one of the user or the other user.

10. The one or more non-transitory computer storage media of claim 7, wherein the operations further comprise determining the suggestion based at least in part on a conversation history for at least one of the user or the other user, the conversation history including information from the conversation or a previous conversation.

11. The one or more non-transitory computer-readable storage media of claim 7, wherein the suggestion includes pre-formed content for a message to at least one of the user or the other user;

and the operations further comprise;

in response to receiving a request from the user to use the suggestion, causing the pre-formed content to be sent as a message from at least one of the user or the other user.

12. The one or more non-transitory computer-readable storage media of claim 7, wherein the suggestion is based at least in part on a messaging style of at least one of the user or the other user, the suggestion indicating how to enhance the messaging style.

13. The one or more non-transitory computer-readable storage media of claim 7, wherein the operations further comprise:

sending a message to at least one of the user or the other user based at least in part on the suggestion, the message including a marker indicating that the message is based at least in part on the suggestion.

14. The one or more non-transitory computer-readable storage media of claim 7, wherein the operations further comprise:

generating feedback regarding the conversation, the feedback including at least one of a status of the conversation, health information about the conversation, or a conversation metric; and

causing the feedback to be provided via the conversation user interface.

15. The one or more non-transitory computer-readable storage media of claim 7, wherein the operations further comprise:

analyzing a user profile associated with the user; and

causing a recommendation to be presented to the user regarding the analysis of the user profile, the recommendation recommending at least one of that the user have a conversation with the other user or that the user add information to the user profile.

16. A system comprising:

one or more processors; and

memory communicatively coupled to the one or more processors and storing executable instructions that, when executed by the one or more processors, cause the one or more processors to perform acts comprising;

facilitating a conversation between a user and another user;

determining a conversation suggestion regarding the conversation based at least in part on a user profile associated with at least one of the user or the other user; and

sending the conversation suggestion to at least one of a computing device of the user or a computing device of the other user.

17. The system of claim 16, wherein the acts further comprise:

monitoring the conversation between the user and the other user to identify one or more interests or characteristics of the other user; and

forming a list of multiple conversation suggestions for the user to use in communicating with the other user based at least in part on the one or more identified interests or characteristics of the other user, the conversation suggestion being one of the multiple conversation suggestions.

18. The system of claim 16, wherein the acts further comprise:

monitoring the conversation between the user and the other user to identify one or more interests or characteristics of the user; and

generating a user profile for the user based at least in part on the one or more interests or characteristics of the user.

19. The system of claim 16, wherein the acts further comprise:

monitoring the conversation between the user and the other user;

determining a conversation metric based at least in part on the monitoring; and

determining that a suggestion event has occurred based at least in part on the conversation metric; and

wherein the conversation suggestion is sent in response to determining the occurrence of the suggestion event.

20. The system of claim 16, wherein the conversation suggestion indicates a topic to discuss during the conversation.