Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium. A method includes: for each of a plurality of content items in an inventory of content items: identifying an entity associated with the content item and a plurality of page types for a vertical associated with a product or service described in the content item; locating a plurality of informational pages associated with the entity; classifying each informational page based on the page types; identifying queries associated with the entity, wherein a query is used as a selection criteria for delivering one or more content items associated with the entity; for each informational page of the plurality of informational pages determining relevant queries from the identified queries; and storing in a data structure an association between the content item, data associated with the relevant queries and associated informational pages.

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium. A method includes: for each of a plurality of content items in an inventory of content items: identifying an entity associated with the content item and a plurality of page types for a vertical associated with a product or service described in the content item; locating a plurality of informational pages associated with the entity; classifying each informational page based on the page types; identifying queries associated with the entity, wherein a query is used as a selection criteria for delivering one or more content items associated with the entity; for each informational page of the plurality of informational pages determining relevant queries from the identified queries; and storing in a data structure an association between the content item, data associated with the relevant queries and associated informational pages.

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium. A method includes: for each of a plurality of content items in an inventory of content items: identifying an entity associated with the content item and a plurality of page types for a vertical associated with a product or service described in the content item; locating a plurality of informational pages associated with the entity; classifying each informational page based on the page types; identifying queries associated with the entity, wherein a query is used as a selection criteria for delivering one or more content items associated with the entity; for each informational page of the plurality of informational pages determining relevant queries from the identified queries; and storing in a data structure an association between the content item, data associated with the relevant queries and associated informational pages.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a query, receiving a set of social search results including one or more social media items that have been distributed through one or more computer-implemented services, each social media item being responsive to the query, providing a sub-set of social search results based on respective promotion scores provided in an auction, the sub-set of social search results including at least one social media item of the set of social search results, and providing the sub-set of social search results for display in a search results page, social media items of the sub-set of social search results being displayed based on respective promotion scores.

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium. A method includes: for each of a plurality of content items in an inventory of content items: identifying an entity associated with the content item and a plurality of page types for a vertical associated with a product or service described in the content item; locating a plurality of informational pages associated with the entity; classifying each informational page based on the page types; identifying queries associated with the entity, wherein a query is used as a selection criteria for delivering one or more content items associated with the entity; for each informational page of the plurality of informational pages determining relevant queries from the identified queries; and storing in a data structure an association between the content item, data associated with the relevant queries and associated informational pages.

Abstract: Systems and methods for measuring brand uplift in a computer networked environment are provided. A data processing system can assign a first set of device identifiers to an experimental arm and a second set of device identifiers to a control arm. Computing devices associated with the experimental arm receive third-party content items promoting a brand for which a brand uplift experiment is performed, while computing devices associated with the control arm do not receive third-party content items promoting the brand. At the end of the experiment, a brand uplift metric value is computed by analyzing search query logs of the computing devices. The brand uplift metric value is then provided to an advertiser for display.

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium. A method includes: for each of a plurality of content items in an inventory of content items: identifying an entity associated with the content item and a plurality of page types for a vertical associated with a product or service described in the content item; locating a plurality of informational pages associated with the entity; classifying each informational page based on the page types; identifying queries associated with the entity, wherein a query is used as a selection criteria for delivering one or more content items associated with the entity; for each informational page of the plurality of informational pages determining relevant queries from the identified queries; and storing in a data structure an association between the content item, data associated with the relevant queries and associated informational pages.

Abstract: Systems and methods for measuring brand uplift in a computer networked environment are provided. A data processing system can assign a first set of device identifiers to an experimental arm and a second set of device identifiers to a control arm. Computing devices associated with the experimental arm receive third-party content items promoting a brand for which a brand uplift experiment is performed, while computing devices associated with the control arm do not receive third-party content items promoting the brand. At the end of the experiment, a brand uplift metric value is computed by analyzing search query logs of the computing devices. The brand uplift metric value is then provided to an advertiser for display.

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that includes a synthesis subsystem that automatically creates components for inclusion in a creative. The synthesis subsystem includes one or more modules that receive, as input, crawled content or metadata known or identified by the content serving system, and produce, as an output, a synthesized component for inclusion in a prospective creative. The system further includes an evaluation subsystem that evaluates quality of each of the synthesized components generated by the synthesis subsystem to determine measurable quality as against a baseline quality level.

Abstract: According to various embodiments of the disclosure techniques for generating outgoing messages are disclosed. The technique includes receiving a request to generate an outgoing message for a recipient and retrieving one or more recipient preferences of the recipient from a recipient preferences database. The one or more recipient preferences relate to customization of messages that are to be delivered to the recipient. The technique further includes retrieving a message template from a plurality of message templates stored in a message template database based on the request and the one or more recipient preferences. The technique also includes generating the outgoing message based on the retrieved message template and the one or more recipient preferences, and providing the outgoing message to the recipient.

Abstract: Systems and methods for measuring brand uplift in a computer networked environment is provided. A data processing system can assign a first set of device identifiers to an experimental arm and a second set of device identifiers to a control arm. Computing devices associated with the experimental arm receive third-party content items promoting a brand for which a brand uplift experiment is performed, while computing devices associated with the control arm do not receive third-party content items promoting the brand. At the end of the experiment, a brand uplift metric value is computed by analyzing search query logs of the computing devices. The brand uplift metric value is then provided to an advertiser for display.

Abstract: According to various embodiments of the disclosure techniques for generating outgoing messages are disclosed. The technique includes receiving a request to generate an outgoing message for a recipient and retrieving one or more recipient preferences of the recipient from a recipient preferences database. The one or more recipient preferences relate to customization of messages that are to be delivered to the recipient. The technique further includes retrieving a message template from a plurality of message templates stored in a message template database based on the request and the one or more recipient preferences. The technique also includes generating the outgoing message based on the retrieved message template and the one or more recipient preferences, and providing the outgoing message to the recipient.

Abstract: Techniques for determining one or more preferred languages for a user are provided. The preferred languages may be determined based upon a set of language indicators. The language indicators are analyzed using, for example, rules-based techniques, clustering, language classifiers, and the like, or combinations thereof. Language indicators can include or be derived from information about the user's behavior, location, preferences, social connections, or other data related to the user.

Abstract: Systems and methods for measuring brand uplift in a computer networked environment is provided. A data processing system can assign a first set of device identifiers to an experimental arm and a second set of device identifiers to a control arm. Computing devices associated with the experimental arm receive third-party content items promoting a brand for which a brand uplift experiment is performed, while computing devices associated with the control arm do not receive third-party content items promoting the brand. At the end of the experiment, a brand uplift metric value is computed by analyzing search query logs of the computing devices. The brand uplift metric value is then provided to an advertiser for display.

Abstract: According to various embodiments of the disclosure techniques for generating outgoing messages are disclosed. The technique includes receiving a request to generate an outgoing message for a recipient and retrieving one or more recipient preferences of the recipient from a recipient preferences database. The one or more recipient preferences relate to customization of messages that are to be delivered to the recipient. The technique further includes retrieving a message template from a plurality of message templates stored in a message template database based on the request and the one or more recipient preferences. The technique also includes generating the outgoing message based on the retrieved message template and the one or more recipient preferences, and providing the outgoing message to the recipient.

Abstract: Techniques for determining one or more preferred languages for a user are provided. The preferred languages may be determined based upon a set of language indicators. The language indicators are analyzed using, for example, rules-based techniques, clustering, language classifiers, and the like, or combinations thereof. Language indicators can include or be derived from information about the user's behavior, location, preferences, social connections, or other data related to the user.

Abstract: A computer-implemented method can include receiving an input via a first keyboard associated with a first language. The method can include determining a first character string based on the input and the first keyboard. The method can include determining a first probability score indicative of a likelihood that the first character string is appropriate in the first language. The method can include determining a second character string based on the input and a second keyboard associated with a second language when the first probability score is less than a first threshold. The method can include determining a second probability score indicative of a likelihood that the second character string is appropriate in the second language. Based on the probability scores, the method can also include generating an output including at least one of the first and character strings.

Abstract: Techniques for determining one or more preferred languages for a user are provided. The preferred languages may be determined based upon a set of language indicators. The language indicators are analyzed using, for example, rules-based techniques, clustering, language classifiers, and the like, or combinations thereof. Language indicators can include or be derived from information about the user's behavior, location, preferences, social connections, or other data related to the user.

Abstract: Techniques for determining one or more preferred languages for a user are provided. The preferred languages may be determined based upon a set of language indicators. The language indicators are analyzed using, for example, rules-based techniques, clustering, language classifiers, and the like, or combinations thereof. Language indicators can include or be derived from information about the user's behavior, location, preferences, social connections, or other data related to the user.

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium. A method includes: for each of a plurality of content items in an inventory of content items: identifying an entity associated with the content item and a plurality of page types for a vertical associated with a product or service described in the content item; locating a plurality of informational pages associated with the entity; classifying each informational page based on the page types; identifying queries associated with the entity, wherein a query is used as a selection criteria for delivering one or more content items associated with the entity; for each informational page of the plurality of informational pages determining relevant queries from the identified queries; and storing in a data structure an association between the content item, data associated with the relevant queries and associated informational pages.