Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for allocating content include a system comprising a data structure storing different types of item requests for items, each item request having a different corresponding time at which the items are allocated to that request type. Servers allocate a same given item to various different requestors at different times. For a first portion of allocations of the same given item, servers determine that the plurality of different types of item requests includes a reservation request. For a second portion of the allocations, the servers determine that the same given item will not be allocated to a reservation request. For a third portion of the allocations of the same given item, the servers determine that the same given item will not be allocated to a reservation request or an advance allocation request. The servers evaluate the reservation requests, advance allocation requests, and other requests during in an auction.