Expandable data object management and indexing architecture for intersystem data exchange compatibility

Patent metadata

Field	Value
Publication number	US-11449547-B2
Application number	US-201916367048-A
Country	US
Kind code	B2
Filing date	Mar 27, 2019
Priority date	Mar 27, 2019
Publication date	Sep 20, 2022
Grant date	Sep 20, 2022

Abstract

A group-based communication platform is configured to ascertain the relatedness of various work objects shared among users of the group-based communication platform. Moreover, the group-based communication platform may further receive and process work objects originating from non-users of the group-based communication platform, thereby further expanding the utility of the determined relatedness between work objects. These work objects (or encrypted representations of these work objects) may be indexed and stored in association with the group-based communication platform, thereby enabling users to search for and retrieve work objects originating from a plurality of work object sources simultaneously, and based on various characteristics of those work objects and the determined interrelatedness between various work objects.

First claim

That which is claimed:

1. A group-based communication platform configured for assigning a user expertise to a user identifier, the group-based communication platform comprising:
one or more memory storage areas; and
one or more processors collectively configured to:
receive one or more work objects from a validated external resource, wherein the one or more work objects comprise metadata and body content data;
assign one or more topics to each of the one or more work objects based at least in part on the metadata and body content data;
determine a subset of the one or more work objects associated with a user identifier for a user;
determine a level of relationship between the user and each of one or more event objects;
determine context regarding the user's interactions with the one or more work objects based on analyzing the one or more work objects; and
establish topical expertise associated with the user identifier based at least in part on the topics of work objects associated with the user identifier, the level of relationship between the user and each of the event objects, messages associated with the one or more work objects regarding the one or more topics, and the determined context regarding the user's interactions with the one or more work objects.

2. The group-based communication platform of claim 1 , wherein the one or more work objects comprise event work objects, and wherein determining a level of relationship between the user and each of the event work objects comprises determining whether the user participated in each of the one or more event work objects.

3. The group-based communication platform of claim 1 , wherein the one or more work objects comprise email work objects, and wherein determining a level of relationship between the user and each of the email work objects comprises determining whether the user was a sending user of the email work objects.

4. The group-based communication platform of claim 1 , wherein the one or more work objects comprise message work objects, and wherein determining a level of relationship between the user and each of the message work objects comprises determining whether the user was a sending user of the message work objects.

5. The group-based communication platform of claim 1 , wherein assigning a topic to each of the one or more work objects comprises utilizing Term frequency-inverse document frequency (Tf-Idf) analysis to identify one or more topics relevant to each work object.

6. The group-based communication platform of claim 5 , wherein each of the one or more work objects are event objects, and wherein the Tf-Idf analysis is performed on a recording associated with the work object.

7. The group-based communication platform of claim 1 , wherein the one or more processors are further configured to generate a work graph identifying relationships between each of the one or more work objects, and wherein determining a level of relationship between a user identifier and each of the one or more work objects comprises identifying relationships between work objects associated with the user identifier.

8. A computer-implemented method for assigning a user expertise to a user identifier, the method comprising:
receiving one or more work objects from a validated external resource, wherein the one or more work objects comprise metadata and body content data;
assigning one or more topics to each of the one or more work objects based at least in part on the metadata and body content data;
determining a subset of the one or more work objects associated with a user identifier for a user;
determining a level of relationship between the user and each of one or more event objects;
determining context regarding the user's interactions with the one or more work objects based on analyzing the one or more work objects; and
establishing topical expertise associated with the user identifier based at least in part on the topics of work objects associated with the user identifier, the level of relationship between the user and each of the event objects, messages associated with the one or more work objects regarding the one or more topics, and the determined context regarding the user's interactions with the one or more work objects.

9. The computer-implemented method of claim 8 , wherein the one or more work objects comprise event work objects, and wherein determining a level of relationship between the user and each of the event work objects comprises determining whether the user participated in each of the one or more event work objects.

10. The computer-implemented method of claim 8 , wherein the one or more work objects comprise email work objects, and wherein determining a level of relationship between the user and each of the email work objects comprises determining whether the user was a sending user of the email work objects.

11. The computer-implemented method of claim 8 , wherein the one or more work objects comprise message work objects, and wherein determining a level of relationship between the user and each of the message work objects comprises determining whether the user was a sending user of the message work objects.

12. The computer-implemented method of claim 8 , wherein assigning a topic to each of the one or more work objects comprises utilizing Term frequency-inverse document frequency (Tf-Idf) analysis to identify one or more topics relevant to each work object.

13. The computer-implemented method of claim 12 , wherein each of the one or more work objects are event objects, and wherein the Tf-Idf analysis is performed on a recording associated with the work object.

14. The computer-implemented method of claim 8 , further comprising generating a work graph identifying relationships between each of the one or more work objects, and wherein determining a level of relationship between a user identifier and each of the one or more work objects comprises identifying relationships between work objects associated with the user identifier.

15. A computer program product comprising at least one non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising an executable portion configured to cause a computer processor to:
receive one or more work objects from a validated external resource, wherein the one or more work objects comprise metadata and body content data;
assign one or more topics to each of the one or more work objects based at least in part on the metadata and body content data;
determine a subset of the one or more work objects associated with a user identifier for a user;
determine a level of relationship between the user and each of one or more event objects;
determine context regarding the user's interactions with the one or more work objects based on analyzing the one or more work objects; and
establish topical expertise associated with the user identifier based at least in part on the topics of work objects associated with the user identifier, the level of relationship between the user and each of the event objects, messages associated with the one or more work objects regarding the one or more topics, and the determined context regarding the user's interactions with the one or more work objects.

16. The computer program product of claim 15 , wherein the one or more work objects comprise event work objects, and wherein determining a level of relationship between the user and each of the event work objects comprises determining whether the user participated in each of the one or more event work objects.

Assignees

• Slack Tech Inc
• Slack Tech Llc

Inventors

• Wahl Matthew
• Florin Hubert
• Schemers Roland
• Elliott Brian
• Han Lydia
• Mcphail James

Classifications

• G06Q10/103

  Workflow collaboration or project management · CPC title

• G06Q10/101

  Collaborative creation, e.g. joint development of products or services · CPC title

• H04L51/046

  Interoperability with other network applications or services · CPC title

• G06F16/90335

  Query processing · CPC title

• H04L65/1096

  Supplementary features, e.g. call forwarding or call holding (systems providing special services or facilities to telephony subscribers H04M3/42) · CPC title