Google Inc.

Facebook, Inc.

Fecebook, Inc.

Gokul Rajaram

Rama Ranganath

Ching Law

Sumit Agarwal

Rajas Moonka

Deepak Jindal

David Young Chung

Brian Axe

Kent Schoen

Pavan Kumar Desikan

Andrew Maxwell

David Gehrking

Kourosh Gharachorloo

Amit J Patel

Niels Provos

Victor Bennett

Timothy Andrew James

Prasenjit Phukan

Leora Ruth Wiseman

Fong Shen

Christopher Thomas Lyon

Shuman Ghosemajumder

Lawrence P Ip

Brian Thomas Boland

Leora Wiseman

Shrish Agrawal

Jayesh Sharma

Dmitriy Portnov

Sanjeev Kulkarni

Alex Carobus

Mark E Zuckerberg

Nipun Mathur

Antonio Felipe Garcia-Martinez

Hong Yan

Scott S Benson

Ami Vora

Susan Wojcicki

Mark Martel

Satya Patel

Prashant Chandra Fuloria

Merchants create ecommerce-enabled ad units advertising items offered by the merchants. The ad units contain functionality enabling customers to purchase the items by interacting with the ad units. The ad units have associated bid prices that the merchants agree to pay for sales through the ad units. The merchants provide the ad units to a broker. The broker publishes the ad units on web pages provided by publishers as comparison shop ad units that contain multiple ad units and functionality for navigating among them. A customer receiving a web page interacts with an ad unit to purchase the item. During the interactions, the broker dynamically updates the ad unit to conduct the transaction.

Navigable content units for displaying on an electronic document

One or more keywords and/or information about one or more properties may be accepted, and a set of one or more taxonomy categories may be determined using at least some of the keyword(s) and/or property information and perhaps term co-occurrence clusters. The determined taxonomy categories may be presented to an advertising user as an ad targeting suggestion. Each taxonomy category may have at least one associated property (e.g., Web document), that participates in an advertising network. An advertiser selection of a suggested taxonomy category may be accepted, and the serving of an ad of the advertiser may be targeted to each property associated with the selected suggested taxonomy category. Alternatively, such properties may be presented to an advertising user as an ad targeting suggestion.

Suggesting targeting information for ads, such as websites and/or categories of websites for example

Suggesting targeting information for ads; such as websites and/or categories of websites for example

A system environment supporting one or more advertisers and one or more ad publishers provides a means of sharing user-targeted advertisement. One or more hashing modules in the system environment provide the advertisers and ad publishers a means of sharing this information without revealing a user's personally identifiable information (PII). If a lossy hash is chosen, then an advertiser can communicate targeted advertisements to an ad publisher without revealing any PII to the ad publisher that the ad publisher did not already know.

Protecting identities of users to whom advertising is targeted

A system and method for verifying content on a network site is provided. A document such as a website is identified. The document is accessed over a network from a content provider system connected to the network to obtain information about the document. Through an automated process, using the information about the document to determine whether the document conforms to one or more predetermined rules associated with the content provider system governing the usage of content in the document.

Method and system for using a network analysis system to verify content on a website

Navigable content units

Based on information used by the external system to identify a target user, the external system generates a target user hash identifier that is communicated to the social networking system along with a message. Using information from user profiles maintained by the social networking system, the social networking system generates hash identifiers for its users and compares the target user hash identifier to the generated hash identifiers hash identifiers for social networking system users are generated. The social networking system sends the message to a user associated with a hash identifier generated from user profile information that matches the target user hash identifier. Hence, an external application may communicate with social networking system users without accessing access information about the users maintained by the social networking system.

Third-party communications to social networking system users using user descriptors

A computer-implemented method, system, and computer-readable medium includes determining an attribute of a web page to be displayed to a user at a location, selecting content corresponding to the determined web page attribute, and transmitting the selected content to the location for display as at least part of the web page.

Placement attribute targeting

Comparison shop ad units

An online publisher provides content items such as advertisements to users. To enable publishers to provide content items to users who meet targeting criteria of the content items, an exchange server aggregates data about the users. The exchange server receives user data from two or more sources, including a social networking system and one or more other service providers. To protect the user's privacy, the social networking system and the service providers may provide the user data to the exchange server without identifying the user. The exchange server tracks each unique user of the social networking system and the service providers using a common identifier, enabling the exchange server to aggregate the users' data. The exchange server then applies the aggregated user data to select content items for the users, either directly or via a publisher.

Social networking system data exchange

An entity provides a competitive block list for one or more of its objects in a social networking system. The competitive block list identifies advertisers or other entities prevented from targeting advertisements based on connections between users and objects of the entity. If a later received advertisement is targeted based on a connection between a user and an object of the entity, the social networking system determines whether the advertiser associated with the advertisement is included on the competitive block list. If the competitive block list includes the advertiser, the advertisement is determined not to be valid, and not presented to users. Otherwise, the advertisement is determined to be valid, and may be presented to users thereafter.

Managing targeting of advertisements based on user associations with social networking objects

Growing community of inventors

Los Altos, CA, United States of America

Gokul Rajaram