William Sun

US Patent:

20160307211, Oct 20, 2016

Filed:

Apr 30, 2015

Appl. No.:

14/700898

Inventors:

- Mountain View CA, US
Nicholas David Snyder - Belmont CA, US
William Jayang Sun - San Francisco CA, US

International Classification:

G06Q 30/02
G06N 5/04
G06N 99/00
H04L 29/08
G06Q 50/00

Abstract:

Disclosed in some examples are systems, methods, and machine readable mediums that infer contributions from content distributed on a hierarchical electronic content distribution system to the occurrence of events using observed interactions related to the content. For example, the system may infer that a particular item of content that was shared through the hierarchical electronic content distribution system caused a person to apply to the company seeking to be hired. As another example, the system may infer that a particular item of shared content caused or contributed to a sale of the company's products. As yet another example, the system may infer that a particular item of shared content caused or contributed to an increase in a metric associated with the organization.

US Patent:

20160307212, Oct 20, 2016

Filed:

Apr 30, 2015

Appl. No.:

14/701116

Inventors:

- Mountain View CA, US
Nicholas David Snyder - Belmont CA, US
William Jayang Sun - San Francisco CA, US

International Classification:

G06Q 30/02
G06N 5/04
G06N 99/00
G06Q 50/00

Abstract:

Disclosed in some examples are systems, methods, and machine readable mediums that infer contributions from content distributed on a hierarchical electronic content distribution system to the occurrence of events using observed interactions related to the content. For example, the system may infer that a particular item of content that was shared through the hierarchical electronic content distribution system caused a person to apply to the company seeking to be hired. As another example, the system may infer that a particular item of shared content caused or contributed to a sale of the company's products. As yet another example, the system may infer that a particular item of shared content caused or contributed to an increase in a metric associated with the organization.

US Patent:

20160307233, Oct 20, 2016

Filed:

Apr 30, 2015

Appl. No.:

14/700921

Inventors:

- Mountain View CA, US
Nicholas David Snyder - Belmont CA, US
William Jayang Sun - San Francisco CA, US

International Classification:

G06Q 30/02
G06N 99/00
G06Q 50/00

Abstract:

Disclosed in some examples are systems, methods, and machine readable mediums that infer contributions from content distributed on a hierarchical electronic content distribution system to the occurrence of events using observed interactions related to the content. For example, the system may infer that a particular item of content that was shared through the hierarchical electronic content distribution system caused a person to apply to the company seeking to be hired. As another example, the system may infer that a particular item of shared content caused or contributed to a sale of the company's products. As yet another example, the system may infer that a particular item of shared content caused or contributed to an increase in a metric associated with the organization.

US Patent:

20160149850, May 26, 2016

Filed:

Oct 12, 2015

Appl. No.:

14/880917

Inventors:

Nicholas David Snyder - Belmont CA, US
William Jayang Sun - San Francisco CA, US

Assignee:

Linkedln Corporation - Mountain View CA

International Classification:

H04L 12/58

Abstract:

Techniques for intelligent scheduling of content sharing by company employees via an online social networking service are described. According to various embodiments, a request is received from a member of an online social networking service to share a content item among members in the member's connection network on the online social networking service. Member behavior log data associated with the members in the connection network of the member is then accessed. Thereafter, an optimum sharing time for sharing the content item among the members in the member's connection network is calculated. The content item is then caused to be shared at the optimum sharing time with the members in the member's connection network.

US Patent:

20160149851, May 26, 2016

Filed:

Oct 12, 2015

Appl. No.:

14/880959

Inventors:

- Mountain View CA, US
Nicholas David Snyder - Belmont CA, US
William Jayang Sun - San Francisco CA, US

International Classification:

H04L 12/58
H04L 29/08

Abstract:

Techniques for identifying suggested online content for company administrators to broadcast to company employees via an online social networking service are described. According to various embodiments, a plurality of suggested content items are displayed, via an administrator user interface, to a user associated with a company. A user request is then received via the administrator user interface, the request being to broadcast a recommendation to view a specific content item of the suggested content items to one or more employees of the company that are members of an online social networking service. The recommendation to view the specific content item is then broadcast to the employees of the company.

US Patent:

20160149852, May 26, 2016

Filed:

Oct 12, 2015

Appl. No.:

14/880992

Inventors:

- Mountain View CA, US
Nicholas David Snyder - Belmont CA, US
William Jayang Sun - San Francisco CA, US

International Classification:

H04L 12/58
H04L 29/08

Abstract:

Techniques for forming groups of employees for receiving online content broadcasted by company administrators via an online social networking service are described. According to various embodiments, a plurality of content items is displayed, via an administrator user interface, to a user associated with a company. Thereafter, a user specification of a topic-based group is received together with a user request to broadcast a recommendation to view a specific content item to one or more employees of the company that are members of an online social networking service and that are associated with the topic-based group. The employees of the company that are associated with the topic-based group are then identified, and the recommendation to view the specific content item is broadcasted to the employees of the company that are associated with the topic-based group.