SYSTEMS AND METHODS FOR CONTEXT-AWARE MESSAGE TAGGING

• US 20130218885A1
• Filed: 02/15/2013
• Published: 08/22/2013
• Est. Priority Date: 02/22/2012
• Status: Abandoned Application

• Current Assignee: Salesforce.com, Inc.
• Original Assignee: Salesforce.com, Inc.
• Inventors: Satyanarayanan, Rajaram
• Application Number:
  US13/768,172
• Publication Number:
  US 20130218885A1
• Time in Patent Office: Days
• US Class Current: 707/728
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06Q 30/016 After-sales
• CPC Class Codes: H04L 51/04 Real-time or near real-time messaging, e.g. instant messaging [IM]

Abstract

Disclosed are systems, apparatus, and methods for context-aware messaging. In various implementations, a conversation between two or more users may be hosted by a communications tool, where the conversation generates text included in a conversation thread. Information and entities may be extracted from the generated text. One or more weights may be assigned to each of the extracted plurality of entities based on the contents of the conversation thread. The one or more weights may provide a rank for each of the extracted entities for a search of at least one information feed. In some implementations, the at least one information feed may be searched based on the weighted extracted entities to identify at least one relevant information feed. The at least one relevant information feed may be updated with the information extracted from the conversation thread.

Claims

1. A method for providing a contextual view for an information feed, the method comprising:

hosting a conversation between two or more users, the conversation generating text included in a conversation thread;

extracting information and a plurality of entities from the generated text;

assigning one or more weights to each of the extracted plurality of entities based on the contents of the conversation thread, the one or more weights providing a rank for each of the extracted plurality of entities in a search of at least one information feed;

searching the at least one information feed based on the weighted extracted plurality of entities to identify at least one relevant information feed; and

updating the at least one relevant information feed with the information extracted from the conversation thread.

2. The method of claim 1, wherein the conversation is hosted by an instant messaging service and the at least one information feed is provided by an online social network.

3. The method of claim 1, wherein the one or more weights are generated based on at least one of a static lookup table and computer-generated metrics related to the contents of the conversation thread.

4. The method of claim 3, wherein the computer-generated metrics are generated based on at least one of a number of occurrences of an entity within the conversation thread and a recency associated with the occurrence of the entity.

5. The method of claim 1, wherein an entity is at least one of the group consisting of:

a user name, a product, a company, an account, a location, a project, and a connection event.

6. The method of claim 1, wherein updating the at least one relevant information feed comprises storing information extracted from the conversation thread in a feed data store associated with the at least one relevant information feed.

7. The method of claim 1, wherein the extracted information includes the text of the conversation thread and a plurality of context attributes associated with the text of the conversation thread.

8. The method of claim 1 further comprising normalizing and mapping the extracted plurality of entities from a first format to a second format.

9. The method of claim 1 further comprising providing one or more filters configured to filter a presentation of the updated at least one relevant information feed based on the information extracted from the conversation thread.

10. The method of claim 1 further comprising refreshing a user interface of an online social network to render the updated at least one relevant information feed.

11. The method of claim 1 further comprising receiving a selection from one of the two or more users, the selection selecting the at least one relevant information feed to be updated.

12. A non-transitory machine-readable medium carrying one or more sequences of instructions which, when executed by one or more processors, cause the one or more processors to carry out the steps of:

hosting a conversation between two or more users, the conversation generating text included in a conversation thread;

extracting information and a plurality of entities from the generated text;

assigning one or more weights to each of the extracted plurality of entities based on the contents of the conversation thread, the one or more weights providing a rank for each of the extracted plurality of entities in a search of at least one information feed;

searching the at least one information feed based on the weighted extracted plurality of entities to identify at least one relevant information feed; and

updating the at least one relevant information feed with the information extracted from the conversation thread.

13. The machine-readable medium of claim 12, wherein the one or more weights are generated based on computer-generated metrics related to the contents of the conversation thread, wherein the computer-generated metrics are generated based on at least one of a number of occurrences of an entity within the conversation thread and a recency associated with the occurrence of the entity.

14. The machine-readable medium of claim 12, wherein updating the at least one relevant information feed comprises storing information extracted from the conversation thread in a feed data store associated with the at least one relevant information feed, and wherein the extracted information includes the text of the conversation thread and a plurality of context attributes associated with the text of the conversation thread.

15. The machine-readable medium of claim 12, wherein the conversation is hosted by an instant messaging service and the at least one information feed is provided by an online social network, and wherein an entity is at least one of the group consisting of:

a user name, a product, a company, an account, a location, a project, and a connection event.

16. The machine-readable medium of claim 12, wherein the steps further comprise receiving a selection from one of the two or more users, the selection selecting the at least one relevant information feed to be updated.

17. A system for providing a contextual view for an information feed comprising:

a processor; and

one or more stored sequences of instructions which, when executed by the processor, cause the processor to carry out the steps of;

hosting a conversation between two or more users, the conversation generating text included in a conversation thread;

extracting information and a plurality of entities from the generated text;

assigning one or more weights to each of the extracted plurality of entities based on the contents of the conversation thread, the one or more weights providing a rank for each of the extracted plurality of entities in a search of at least one information feed;

searching the at least one information feed based on the weighted extracted plurality of entities to identify at least one relevant information feed; and

updating the at least one relevant information feed with the information extracted from the conversation thread.

18. The system of claim 17, wherein the one or more weights are generated based on computer-generated metrics related to the contents of the conversation thread, wherein the computer-generated metrics are generated based on at least one of a number of occurrences of an entity within the conversation thread and a recency associated with the occurrence of the entity.

19. The system of claim 17, wherein updating the at least one relevant information feed comprises storing information extracted from the conversation thread in a feed data store associated with the at least one relevant information feed, and wherein the extracted information includes the text of the conversation thread and a plurality of context attributes associated with the text of the conversation thread.

20. The system of claim 17, wherein the conversation is hosted by an instant messaging service and the at least one information feed is provided by an online social network, and wherein an entity is at least one of the group consisting of:

a user name, a product, a company, an account, a location, a project, and a connection event.