Jonathan D Sorg

US Patent:

20180052906, Feb 22, 2018

Filed:

Aug 22, 2016

Appl. No.:

15/242915

Inventors:

- Menlo Park CA, US
Bradley Ray Green - Snohomish WA, US
James Wah Hou Wong - Bellevue WA, US
Jonathan Daniel Sorg - Emeryville CA, US

International Classification:

G06F 17/30
G06F 17/16

Abstract:

Systems, methods, and non-transitory computer-readable media can determine one or more geographic clusters that each correspond to a respective portion of a geographic region, each geographic cluster representing a neighborhood that includes a set of places which users residing in the neighborhood tend to frequently visit. A determination can be made that a user is located in a first geographic cluster. At least one content item can be provided to be presented to the user, the content item being associated with the first geographic cluster.

US Patent:

20170186101, Jun 29, 2017

Filed:

Dec 28, 2015

Appl. No.:

14/981029

Inventors:

- Menlo Park CA, US
Jonathan Daniel Sorg - Emeryville CA, US
Bradley Ray Green - Snohomish WA, US
Jason Brewer - Kirkland WA, US
David Tomotsu Sasaki - San Francisco CA, US

International Classification:

G06Q 50/00

Abstract:

Systems, methods, and non-transitory computer-readable media can determine a plurality of candidate entities for recommendation to a user of a social networking system. A predicted activity objective value model configured to calculate activity stores for candidate entities is established. The activity score is indicative of the probability of future activity on the social networking system by a candidate entity. A first activity score is determined for each of the plurality of candidate entities based on the predicted activity object value model and a first set of feature values. A second activity score is determined for each of the plurality of candidate entities based on the predicted activity object value model and a second set of feature values that is different from the first set of feature values. A first entity is selected of the plurality of candidate entities based on the first and second activity scores.

US Patent:

20140173399, Jun 19, 2014

Filed:

Dec 19, 2012

Appl. No.:

13/720724

Inventors:

Jonathan Sorg - San Francisco CA, US
Ken Deeter - San Francisco CA, US
Thomas Stocky - Los Altos CA, US
Robyn David Morris - San Francisco CA, US

International Classification:

G06F 17/22

US Classification:

715206

Abstract:

A social networking system analyzes a user's interactions with objects linked to bookmarks associated with the user to generate a score for each bookmark. The score represents or is based on the probability that the user will access the bookmark or the linked object. For example, the score is a predicted click-through rate for the bookmark. Based on the scores, a subset of the bookmarks is selected for presentation to the user. Additionally, the scores may be used to order the selected subset of the bookmarks. Hence, the bookmarks that the user is most likely to access are presented while the bookmarks the user is less likely to access may be hidden.