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:
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:
A computer-implemented technique includes determining, at a computing device including one or more processors, one or more scripts in which a user is capable of inputting text. The technique includes determining, at the computing device, whether at least one of the one or more scripts is a script having a right-to-left (RTL) writing directionality. The technique also includes automatically outputting, at the computing device: (i) a first user interface when at least one of the one or more scripts is a script having an RTL writing directionality, wherein the first user interface is configured to allow the user to adjust the writing directionality at the computing device, or (ii) a second user interface when none of the one or more scripts is a script having an RTL writing directionality, wherein the second user interface is not configured to allow the user to adjust the writing directionality at the computing device.
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. The system further includes a serving subsystem that receives queries and selects relevant content items responsive to the queries including, for a given content item, identification of one or more synthesized components generated by the synthesis subsystem depending on the evaluation of the respective synthesized components by the evaluation subsystem.
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:
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:
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:
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:
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.