Aggregating enterprise graph content around user-generated topics

• US 10,255,563 B2
• Filed: 08/27/2014
• Issued: 04/09/2019
• Est. Priority Date: 03/03/2014
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Stickler, Joshua, Kehler, Christopher, Meyerzon, Dmitriy, Poznanski, Victor, Kuppusamy, Ashok, Melnychuk, Oleg, Little, Charles Reeves
• Primary Examiner(s): Tran, Tam T
• Application Number:
  US14/469,943
• Publication Number:
  US 20150248222A1
• Time in Patent Office: 1,686 Days
• Field of Search: None
• CPC Class Codes: G06F 8/34 Graphical or visual programming
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G11B 27/034 on discs G11B27/036, G11B27/038 take precedence

Abstract

Aggregation of content based on user-generated topics is provided. Users may associate one or more topics with content items stored across various workloads and repositories. A topic may be a word or phrase of the user'"'"'s choice, and may be utilized for discoverability of information and aggregation of content items. Topics and content items associated with topics may be acted on (e.g., a user may add or delete topics to associate with a content item, associate or disassociate content items with a topic, embed a set of content items or a stream of content items associated with a topic into other experiences, follow topics, etc.). Content items identified as related to a specific topic may be automatically suggested as possible content items of interest to the user. Additionally, when a user follows a topic, the user may be notified of any changes that occur to the topic.

Claims

1. A method for providing an aggregation of content based on user-generated topics, the method comprising:

receiving an indication of a selection to add at least one topic to associate with a content item tracked in an enterprise graph;

providing a menu that includes one or more selectable topic suggestions for the content item;

receiving an input selecting at least one topic from the one or more selectable topic suggestions, for being associated with the content item;

associating the at least one topic with the content item;

receiving a further input specifying that a content stream be embedded; and

in response to receiving the further input, embedding a stream of content items associated with the at least one topic,

wherein the stream of content items includes an aggregation of content items that have been associated with the at least one topic and which form the content stream, wherein the content item associated with the at least one topic in the associating is included in the aggregation of the content items, and

wherein the embedding enables subsequent retrieval of the stream of content items based on the at least one topic.

2. The method of claim 1, wherein prior to receiving the input:

determining the one or more selectable topic suggestions for the content item, wherein the providing of the menu includes displaying the menu.

3. The method of claim 2, wherein determining the one or more selectable topic suggestions for the content item comprises identifying at least one of:

topics associated with content items recently interacted with by a user;

globally trending topics; and

topics determined to be relevant to the content item.

4. The method of claim 1, further comprising:

receiving an indication to display an aggregated view of content items relevant to a user;

determining one or more content items tracked in the enterprise graph from one or more repositories to display according to a relevance ranking;

generating a user interface for displaying the one or more content items;

displaying the one or more content items in the user interface according to the relevance ranking, and

displaying one or more topics associated with each of the one or more content items, wherein each of the one or more topics is selectable.

5. The method of claim 4, further comprising:

receiving an indication specifying a topic selection;

querying the enterprise graph for one or more content items associated with the topic selection, wherein the one or more content items are tracked in the enterprise graph and stored in one or more repositories;

generating a user interface for displaying the one or more content items associated with the topic selection; and

displaying the one or more content items associated with the topic selection in the user interface.

6. The method of claim 5, further comprising:

receiving an indication of a selection of an action to take on the one or more content items associated with the topic selection; and

performing the action on the one or more content items associated with the topic selection.

7. The method of claim 4, further comprising:

receiving an indication of a selection to follow a topic;

receiving an indication of a change associated with the followed topic; and

providing a notification to the user of the change associated with the followed topic.

8. The method of claim 4, further comprising:

receiving an indication of a topic selection;

querying the enterprise graph for content items determined to be relevant to the topic selection according to one or more of;

text similarity, vocabulary similarity, semantics similarity, or topic similarity; and

displaying the content items determined to be relevant to the topic selection as suggested content items to associate with the topic selection.

9. The method of claim 4, further comprising:

receiving an indication of a search query;

querying the enterprise graph for one or more content items matching the search query;

generating a user interface for displaying the one or more content items matching the search query; and

displaying the one or more content items matching the search query in the user interface.

10. The method of claim 9, wherein receiving an indication of a search query comprises:

receiving an input of a topic;

receiving a selection of a topic;

or

receiving an input comprising a search term or text string in a search query input field.

11. The method of claim 10, further comprising:

processing the search term or text string via natural language processing;

associating one or more topics related to the processed search term or text string;

querying the enterprise graph for one or more content items associated with the one or more topics; and

displaying the one or more content items associated with the one or more topics in the user interface as search query results.

12. A system for providing an aggregation of content based on user-generated topics, the system comprising:

one or more processors; and

a memory coupled to the one or more processors, the one or more processors operable to;

receive an indication to display an aggregated view of content items relevant to a user;

determine one or more content items tracked in an enterprise graph from one or more repositories to display according to a relevance ranking;

generate a user interface for displaying the one or more content items;

display the one or more content items in the user interface according to the relevance ranking;

display a menu that includes one or more selectable topic suggestions for at least one of the content items;

receive an indication of a selection of at least one topic from the one or more selectable topic suggestions, for being associated with the at least one content item;

associate the at least one topic with the at least one content item;

receive an indication of a selection to embed a stream of content items associated with the at least one topic; and

in response to the indication of the selection to embed the stream of content items, embed the stream of content items associated with the at least one topic,

wherein the stream of content items includes an aggregation of content items that have been associated with the at least one topic, wherein the at least one content item associated with the at least one topic is included in the aggregation of content items, and

wherein embedding of the stream of content items enables retrieval of the stream of content items based on the at least one topic.

13. The system of claim 12, wherein the one or more processors are further operable to:

receive an indication of a selection to add a topic to associate with a content item.

14. The system of claim 13, wherein the one or more processors are further operable to:

identify at least one of;

topics associated with content items recently interacted with by the user, identifying globally trending topics, or topics determined to be relevant to the content item.

15. The system of claim 12, wherein the one or more processors are further operable to:

receive an indication of a topic selection;

query the enterprise graph for one or more content items associated with the topic selection, wherein the one or more content items are tracked in the enterprise graph and stored in one or more repositories;

generate a user interface for displaying the one or more content items associated with the topic selection; and

display the one or more content items associated with the topic selection in the user interface.

16. The system of claim 15, wherein the one or more processors are further operable to:

receive an indication of a selection to follow a topic;

receive an indication of a change associated with the followed topic; and

provide a notification to the user of the change associated with the followed topic.

17. The system of claim 15, wherein the one or more processors are further operable to:

receive an indication of a topic selection;

query the enterprise graph for content items determined to be relevant to the topic selection according to one or more of;

text similarity, vocabulary similarity, semantics similarity, or topic similarity; and

display the content items determined to be relevant to the topic selection as suggested content items to associate with the topic selection.

18. The system of claim 15, wherein the one or more processors are further operable to:

receive an indication of a search query, wherein receiving an indication of a search query comprises receiving an input comprising a search term or text string into a search query input field;

process the search term or text string via natural language processing;

associate one or more topics related to the processed search term or text string;

query the enterprise graph for any content items associated with the one or more topics related to the processed search term or text string;

generate a user interface for displaying one or more content items matching the search query; and

display the one or more content items matching the search query in the user interface as search query results.

19. Computer readable storage media containing computer executable instructions which, when executed by a computer, perform a method for providing an aggregation of content based on user-generated topics, the method comprising:

receiving an indication to display an aggregated view of content items relevant to a user;

determining one or more content items tracked in the enterprise graph from one or more repositories to display according to a relevance ranking;

generating a user interface for displaying the one or more content items;

displaying the one or more content items in the user interface according to the relevance ranking,

if one or more topics are associated with a content item, displaying the one or more topics associated with the content item, wherein each of the one or more topics is selectable;

receiving an indication of a selection to add a topic to associate with a content item;

providing a menu having a list that includes one or more selectable topic suggestions for the content item;

receiving an input selecting one or more topics, for being associated with the content item, wherein the one or more topics are user-generated or selected from the list;

associating the one or more topics with the content item;

receiving a further input specifying that a content stream be embedded;

embedding a stream of content items associated with the one or more topics, wherein the stream of content items includes an aggregation of content items that have been associated with the one or more topics and which form the content stream, wherein the content item associated with the one or more topics in the associating is included in the aggregation of the content items, and wherein the embedding enables subsequent retrieval of the stream of content items based on the one or more topics;

receiving an indication of a search query, wherein receiving an indication of a search query comprises receiving an input or selection of a topic or receiving an input comprising a search term or text string into a search query input field;

processing the search term or text string via natural language processing;

associating one or more topics related to the processed search term or text string;

querying the enterprise graph for any content items associated with the one or more topics related to the processed search term or text string;

generating a user interface for displaying one or more content items matching the search query; and

displaying the one or more content items matching the search query, in the user interface as search query results.