Sue Sunbok Hong

US Patent:

20170024455, Jan 26, 2017

Filed:

Jul 24, 2015

Appl. No.:

14/808320

Inventors:

- Menlo Park CA, US
Boris Pierre Arnoux - Olten, SE
Sue Ann Hong - San Francisco CA, US
Daniel K. Chapsky - Brooklyn NY, US
Adam Scott Berger - New York NY, US
Nikhil Girish Nawathe - New York NY, US
Christopher William Jones - Mill Valley CA, US
Justin Thomas Palumbo - Menlo Park CA, US
Edward R. Gan - Mountain View CA, US
Rituraj Kirti - Los Altos CA, US
Mui Thu Tran - San Carlos CA, US
Yujie Yang - Mountain View CA, US

International Classification:

G06F 17/30
H04L 29/08

Abstract:

An online system receives information from an entity identifying a set of users of the online system and groups users included in the set into clusters based on their similarities using a clustering model or algorithm (e.g., k-means clustering) and based on one or more parameters specified by the entity. The online system generates expanded clusters that include additional users in one or more clusters based on similarities between the additional users and users in various clusters. If an additional user is included in multiple expanded clusters, the online assigns the additional user exclusively to an expanded cluster that best fits the user.

US Patent:

20160343026, Nov 24, 2016

Filed:

May 19, 2015

Appl. No.:

14/716772

Inventors:

- Menlo Park CA, US
Sue Ann Hong - San Francisco CA, US
Rituraj Kirti - Los Altos CA, US
Benjamin Tucker Savage - San Mateo CA, US
Gary Wu - Milbrae CA, US

International Classification:

G06Q 30/02

Abstract:

A target audience for an ad campaign is determined during an exploration period of the ad campaign by modifying the target audience based on the fulfillment of performance objectives. An initial target audience may be provided by the advertiser or determined by the social networking system based on ad campaigns having similar ad content or other similar characteristics. Advertisements associated with the ad campaign are served to users of the initial target audience. A subset of the target audience that fulfills the performance objectives of the ad campaign is identified and those users are used to generate a new targeting audience to target users that “look like” the subset of the target audience. The new targeting audience is used in place of the initial target audience to improve targeting for the advertisement. This process may be iteratively performed to refine the target audience during the exploration period.

US Patent:

20160343027, Nov 24, 2016

Filed:

May 22, 2015

Appl. No.:

14/719780

Inventors:

- Menlo Park CA, US
Sue Ann Hong - San Francisco CA, US
Xingyao Ye - Mountain View CA, US

International Classification:

G06Q 30/02
G06Q 50/00
H04L 12/26

Abstract:

A social networking system presents users with a content items and ad requests, which may include targeting criteria specifying a topic. Interactions by users who were presented with an advertisement from an ad request including targeting criteria specifying the topic are stored by the social networking system and used to identify a cluster group of additional users having characteristics similar to characteristics of users who were presented with the advertisement from the ad request including targeting criteria specifying the topic and who interacted with the advertisement. The social networking system determines scores for additional users in the cluster group based on measures of similarity between the additional users and the users who were presented with the advertisement and who interacted with the advertisement. Based on the determined scores, the social networking system associates additional users in the cluster group with the topic.

US Patent:

20160232575, Aug 11, 2016

Filed:

Feb 6, 2015

Appl. No.:

14/616543

Inventors:

- Menlo Park CA, US
Sue Ann Hong - San Francisco CA, US
Leon R. Cho - Santa Clara CA, US

International Classification:

G06Q 30/02
G06Q 50/00

Abstract:

A social networking system receives an advertisement request including multiple sets of targeting criteria. To increase the number of users eligible to be presented with the advertisement request, the social networking system generates a cluster group associated with each set of targeting criteria. A cluster group associated with a set of targeting criteria includes users satisfying the targeting criteria and additional users that do not satisfy the targeting criteria. The social networking system determines an amount of overlap between the cluster groups. If the amount of overlap equals or exceeds a threshold value, the social networking system combines the cluster groups to generate an overall group associated with the advertisement request.