Peng Thim Fan

20190220878, Jul 18, 2019

Mar 25, 2019

16/363783

- Menlo Park CA, US
Benjamin Lewis - San Francisco CA, US
Dwight Ewing Crow - San Francisco CA, US
Jonathan Shottan - San Francisco CA, US
Peng Fan - Castro Valley CA, US

G06Q 30/02
G06Q 50/00

Embodiments of the present disclosure relate generally to the generation and presentation of merchant insights to a brick-and-mortar merchant. More specifically, one or more embodiments of the present disclosure relate to detecting and identifying users visiting a merchant's retail location, determining product preferences of the identified users that relate to the merchant, and providing merchant insights to the merchant based on the determined product preferences.

20160321703, Nov 3, 2016

Apr 28, 2015

14/698822

- Menlo Park CA, US
Peng Fan - Castro Valley CA, US
Zhimin Chen - Santa Clara CA, US
Keyun Tong - Menlo Park CA, US

G06Q 30/02

An online system receives information describing a target group of online system users from a third party system that includes one or more user properties, which may identify an action performed by a an online user within a time interval to include the user in the target group. When an opportunity to present advertisement requests to a user is identified, the online system retrieves actions associated with the user and times associated with the actions. If an action associated with the user matches the action identified by the user properties and occurred within the time interval identified by the user properties, and other characteristics of the user satisfy at least a threshold number of the user properties, the online system includes the user in the target group. Advertisement requests having targeting criteria, including the target group, satisfied by characteristics of the user are evaluated for presentation to the user.

20160300268, Oct 13, 2016

Apr 7, 2015

14/681061

- Menlo Park CA, US
Peng Fan - Castro Valley CA, US
Zhimin Chen - Santa Clara CA, US
Leon R. Cho - Santa Clara CA, US

G06Q 30/02

An online system receives information describing a target group of online system users from a third party system that includes one or more user properties, which may identify actions to be performed by an online system user for inclusion in the target group. Additionally, information describing the target group includes metadata associated with the user properties identifying access to the user properties by additional third party systems. If an additional third party system requests access to the target group or to the user properties describing the target group, the online system determines whether the additional third party system is authorized to access the target group or the user properties based on the metadata. Further, the online system determines an amount of compensation the third party system is to receive if the additional third party system is authorized to access the target group or the user properties based on the metadata.

20160171534, Jun 16, 2016

Dec 11, 2014

14/567691

- Menlo Park CA, US
Benjamin Lewis - San Francisco CA, US
Dwight Ewing Crow - San Francisco CA, US
Jonathan Shottan - San Francisco CA, US
Peng Fan - Castro Valley CA, US

G06Q 30/02
G06Q 50/00

The present disclosure relates, in part, to a system for inferring user interest in new products based on a history of product purchases. In particular, an interest inference system can monitor a plurality of purchases by users and identify product attributes and user attributes from information associated with the purchases. The interest inference system can further determine correlations between product attributes and user attributes. Based on the correlations, the interest inference system can identify users that are likely to be interested in a new product even if no past marketing data is available for the new product.

20160171535, Jun 16, 2016

Dec 12, 2014

14/569275

- Menlo Park CA, US
Benjamin Lewis - San Francisco CA, US
Dwight Ewing Crow - San Francisco CA, US
Jonathan Shottan - San Francisco CA, US
Peng Fan - Castro Valley CA, US

G06Q 30/02
G06Q 50/00

The present disclosure relates, in part, to systems and methods that provide for identifying a purchase by a user and remarketing a product to the user. In particular, a system can analyze a portion of a social networking communication from a user and determine that the social networking communication references a purchase of a product by the user. The system can further identify a projected usage interval associated with the purchase and provide remarketing content to the user based on the purchase and in accordance with the usage interval.

20160173540, Jun 16, 2016

Dec 10, 2014

14/566673

- Menlo Park CA, US
Benjamin Lewis - San Francisco CA, US
Dwight Ewing Crow - San Francisco CA, US
Jonathan Shottan - San Francisco CA, US
Peng Fan - Castro Valley CA, US

H04L 29/06
G06Q 30/06
H04L 29/08

One or more embodiments of the disclosure provide systems and methods for improving a user experience related to interacting with content using multiple client devices and/or mediums. For example, a persistent activity system can receive activity data for a user from a client device. The persistent activity system can generate state information based on the received activity data. Further, the persistent activity system can provide the state information to another client device and/or medium to enable the user to seamlessly resume the user's activity on the other client device and/or medium.

20160162913, Jun 9, 2016

Dec 9, 2014

14/564530

- Menlo Park CA, US
Benjamin Lewis - San Francisco CA, US
Dwight Ewing Crow - San Francisco CA, US
Jonathan Shottan - San Francisco CA, US
Peng Fan - Castro Valley CA, US

G06Q 30/02
G06Q 50/00

Embodiments of the present disclosure relate generally to the generation and presentation of merchant insights to a brick-and-mortar merchant. More specifically, one or more embodiments of the present disclosure relate to detecting and identifying users visiting a merchant's retail location, determining product preferences of the identified users that relate to the merchant, and providing merchant insights to the merchant based on the determined product preferences.

20160117740, Apr 28, 2016

Oct 27, 2014

14/524335

- Menlo Park CA, US
Benjamin Lewis - San Francisco CA, US
Dwight Ewing Crow - San Francisco CA, US
Jonathan Shottan - San Francisco CA, US
Peng Fan - Castro Valley CA, US

G06Q 30/02
G06Q 50/00

The present disclosure relates, in part, to an advertisement system that provides for the remarketing of products to a user within a social networking system. More specifically, the advertisement system can analyze a user's social networking profile, which can include information derived from user activity related to third-party content, to identify the user's interest in and/or association with a product previously marketed to the user. Using the user's social networking profile, the advertisement system can create a customized advertisement for the user for a product previously, marketed to the user and serve the customized advertisement to the user within the social networking system.