COMPUTER IMPLEMENTED METHODS AND APPARATUS FOR IMPLEMENTING A TOPICAL-BASED HIGHLIGHTS FILTER

• US 20140025692A1
• Filed: 07/19/2013
• Published: 01/23/2014
• Est. Priority Date: 07/23/2012
• Status: Active Grant

• Current Assignee: Salesforce.com, Inc.
• Original Assignee: Salesforce.com, Inc.
• Inventors: Pappas, Jonathan
• Granted Patent: US 9,367,626 B2
• Time in Patent Office: Days
• US Class Current: 707/754
• CPC Class Codes: G06F 16/00 Information retrieval; Database structures therefor; File system structures therefor
• CPC Class Codes: G06F 16/287 Visualization; Browsing
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/01 Customer relationship services

Abstract

Disclosed are methods, apparatus, systems, and computer readable storage media for filtering content to be displayed in an online social network. Highlights from a plurality of highlight sources relevant to a first user can be received. Topics or other subject matter associated with the received highlights can be identified and social network data to be presented to the first user can be determined based on the identified subject matter. In some implementations, data indicating the determined social network data can be generated and provided to a display device associated with the first user. A presentation including a reference to the determined social network data can be displayed on the display device.

Claims

1. A computer implemented method for filtering data to display in an online social network, the method comprising:

receiving, at a computing device, highlights from a plurality of highlight sources relevant to a first user, the highlights including social network data and each highlight source including one or more collections of users, entities, topics, or combinations thereof;

identifying subject matter associated with the received highlights;

determining social network data to be presented to the first user based on the identified subject matter;

generating data indicating the determined social network data; and

providing the generated data to a display device configured to display a presentation in a user interface associated with the first user, the presentation including a reference to the determined social network data.

2. The computer implemented method of claim 1, wherein the plurality of highlight sources include a highlight source based on a level of interaction of the first user with one or more other users, entities, or combinations thereof in the online social network.

3. The computer implemented method of claim 1, wherein the plurality of highlight sources include an influence highlight source based on a level of influence of one or more users, entities, or combinations thereof in the online social network.

4. The computer implemented method of claim 3, wherein the influence highlight source is a global influence highlight source, the global influence highlight source including the users, entities, or combinations thereof that exert the most influence in the online social network.

5. The computer implemented method of claim 3, wherein the influence highlight source is a topical influence highlight source, the topical influence highlight source including the users, entities, or combinations thereof that exert the most influence on a topic in the online social network.

6. The computer implemented method of claim 1, wherein the plurality of highlight sources include a highlight source based on one or more topics relevant to the first user.

7. The computer implemented method of claim 1, wherein the plurality of highlight sources include a highlight source based at least in part on random sampling of data in the online social network.

8. The computer implemented method of claim 1, wherein the plurality of highlight source includes two or more of the following:

a highlight source based on a level of interaction of the first user with one or more other users, entities, or combinations thereof in the online social network;

a highlight source based on a level of influence of one or more users, entities, or combinations thereof in the online social network;

a highlight source based on one or more topics relevant to the first user; and

a highlight source based at least in part on random sampling of data in the online social network.

9. The computer implemented method of claim 1, wherein the plurality of highlight source includes two or more of the following:

an inner circle highlight source, the inner circle highlight source including the users, entities, or combinations thereof with whom the first user interacts most in the online social network;

a global influence highlight source, the global influence highlight source including the users, entities, or combinations thereof that exert the most influence in the online social network;

a topical highlight source, the topical highlight source including the topics most relevant to the first user; and

a serendipity highlight source, the serendipity highlight source including one or more users, entities, topics, or combinations thereof based at least in part on random selection.

10. The computer implemented method of claim 1, wherein the received highlights include information updates in one or more feeds of the online social network.

11. The computer implemented method of claim 1, wherein the received highlights include one or more posts, messages, conversations, entities, records, uploaded files, products, advertisements, and multimedia data in the online social network.

12. The computer implemented method of claim 1, wherein the received highlights include customer relationship management (CRM) data including one or more of:

an account, a case, a contact, a lead, and an opportunity.

13. The computer implemented method of claim 1, wherein the received highlights include a change in in a field, a status, or a type of a CRM object.

14. The computer implemented method of claim 1, wherein identifying subject matter associated with the received highlights includes identifying one or more topics associated with the received highlights.

15. The computer implemented method of claim 1, wherein determining social network data to be presented to the first user based on the identified subject matter includes identifying social network data associated with topics that correspond to the identified subject matter.

16. The computer implemented method of claim 1, wherein determining social network data to be presented to the first user includes determining one or more sentiments associated with the identified subject matter.

17. The computer implemented method of claim 1, wherein the determined social network data includes all or a subset of the received highlights.

18. The computer implemented method of claim 1, wherein the determined social network data includes one or more of:

users, entities, topics, information updates, and conversations.

19. The computer implemented method of claim 1, wherein generating data indicating the determined social network data includes generating data indicating the determined social network data and a reference to an associated highlight source.

20. The computer implemented method of claim 1, wherein the presentation includes determined social network data derived from at least two of the plurality of highlight sources.

21. The computer implemented method of claim 1, wherein the presentation includes a feed on the display device, the feed including the identification of the social network data.

22. The computer implemented method of claim 1, wherein the presentation includes a feed on the display device, the feed including a first region including determined social network data with a reference to a first one of the plurality of highlight sources and a second region including determined social network data with a reference to a second one of the plurality of highlight sources.

23. The computer implemented method of claim 1, wherein the presentation includes a recommendation for the first user to follow one or more users, entities, or topics.

24. One or more computing devices for filtering social network data to display in an online social network, the one or more computing devices comprising:

one or more processors operable to execute one or more instructions to;

receive, at a computing device, highlights from a plurality of highlight sources relevant to a first user, the highlights including social network data and each highlight source including one or more collections of users, entities, topics, or combinations thereof;

identify subject matter associated with the received highlights;

determine social network data to be presented to the first user based on the identified subject matter;

generate data indicating the determined social network data; and

provide the generated data to a display device configured to display a presentation in a user interface associated with the first user, the presentation including a reference to the determined social network data.

25. The one or more computing devices of claim 24, further comprising:

one or more processors operable to execute one or more instructions to generate highlights from a plurality of highlight sources.

26. The one or more computing devices of claim 24, wherein the instructions to identify subject matter associated with the received highlights include:

instructions to identify one or more topics associated with the received highlights.

27. The one or more computing devices of claim 24, wherein the instructions to determine social network data to be presented to the first user based on the identified subject matter include:

instructions to identify social network data associated with topics that correspond to the identified subject matter.

28. A non-transitory computer-readable storage medium storing instructions executable by a computing device to perform a method for filtering social network data to display in an online social network, the method comprising:

receiving, at a computing device, highlights from a plurality of highlight sources relevant to a first user, the highlights including social network data and each highlight source including one or more collections of users, entities, topics, or combinations thereof;

identifying subject matter associated with the received highlights;

determining social network data to be presented to the first user based on the identified subject matter;

generating data indicating the determined social network data; and

providing the generated data to a display device configured to display a presentation in a user interface associated with the first user, the presentation including a reference to the determined social network data.