Facebook, Inc.

Square, Inc.

Block, Inc.

Ding Zhou

Ruchi Sanghvi

Thomas Scott Whitnah

Alexander Matthew Rush

Pierre Moreels

Ariana Poursartip

Adam Jeremy Fern

Michael Morrissey Cieri

Timothy Kendall

In some examples, a service provider may manage inventories of items by offering money advances to make inventory orders on behalf of a merchant. The service provider may determine a risk associated with advancing money to the merchant based on sales of items made by the merchant. The service provider may provide a money advance to the merchant when the risk associated with advancing money is within a threshold level. The money advance may be used to order inventory from a supplier. This may assist the merchant in managing inventory.

Inventory management with capital advance

Applications in social networks support interaction between members through various types of channels such as notifications, newsfeed, and so forth. For each channel, applications are ranked based on their user affinity measures. User affinity is based on measuring positive and negative interactions by users as both senders and recipients of messages generated by applications. Metrics are computed for the different types of messages and interactions provided by applications. For each channel, an application receives user affinity score based on specific weighted combination of the metrics. Applications use channel resources to send messages to increase their user base. Given the large number of applications that are available, the extent to which applications are allowed to use channels is controlled, limiting their resource consumption. User affinity scores of applications calculated for a channel are used to decide the allocation of channel resources for an application.

Resource management of social network applications

User profile information for a user of a social networking system is inferred based on information about user profile of the user's connections in the social networking system. The inferred user profile attributes may include age, gender, education, affiliations, location, and the like. To infer a value of a user profile attribute, the system may determine an aggregate value based on the attributes of the user's connections. A confidence score may also be associated with the inferred attribute value. The set of connections analyzed to infer a user profile attribute may depend on the attribute, the types of connections, and the interactions between the user and the connections. The inferred attribute values may be used to update the user's profile and to determine information relevant to the user to be presented to the user (e.g., targeting advertisements to the user based on the user's inferred attributes).

Inferring user profile attributes from social information

A social networking system extends the reach of an ad by allowing an advertiser to seed a search for suggesting targeting criteria for an ad. Using the seeds, the social networking system identifies a set of seed objects from a social graph. The social networking system traverses the social graph to compute the similarity between the seed objects and candidate objects related to the seed objects. Based on the computed similarity, the social networking system suggests a set of target objects to the advertiser. The social networking system receives a selection of one or more target objects from the advertiser. From the selected target objects the social networking system determines one or more targeting criteria for the ad, so users with an edge in the social graph to any of the selected target objects are eligible to receive the ad.

Search-powered connection targeting

Growing community of inventors

San Francisco, CA, United States of America

Ding Zhou