Google Inc.

Scansoft, Inc.

Caere Corporation

Dani Suleman

Hobart Sze

Lakshmi Kumar Dabbiru

Gregory L Whittemore

David R Ferguson

Emily Kay Moxley

Khanh B Nguyen

Vinod Anupam

An N Hong

Varouj Armen Chitilian

Luke Hiro Swartz

Shreyas Doshi

Chuan Jiang

David Ian Ferguson

Daniel Shaffer

Roland Borges

Ying-Jye James Chen

Bin Song

Dan Shaffer

Kiran Kumar Gunda

Patrick Williams

James Ratliff

Techniques for generating replication data from a data source to be stored in a target location are described herein. A computing system can receive, from a client device, client requirements associated with a dataflow from the data source to the target location. The client requirements can include an expected data freshness value and an expected data query latency value. Additionally, the computing system can process the expected data freshness value with one or more machine-learned models to generate an extraction framework for extracting data from the data source. Moreover, the computing system can process the expected data query latency value with the one or more machine-learned models to generate a loading framework for loading data to the target location. Furthermore, the computing system can copy the replication data from the data source to the target location based on the extraction framework and the loading framework.

Data flow controller for data replication in an online content serving system

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying a set of resources in response to crawling multiple webpages that use at least one resource in the set. For each resource in the set, a system determines an age of the resource using a timestamp for the resource. The system determines a pre-fetch measure of the resource based on the age of the resource and usage information that describes use of the resource at a webpage. The system selects a first resource from the set based on the pre-fetch measure and determines whether a respective age of the selected first resource exceeds a threshold age. The system generates an index entry for a pre-fetch index. The index entry includes a command to pre-fetch the first resource based on a determination that the respective age of the first resource exceeds the threshold age.

Resource pre-fetch using age threshold

Example techniques for generating customized content may include the following operations: receiving a search query from a computing device associated with a user; performing a search of electronic content based on the search query; obtaining a search result based on the search of electronic content; obtaining configurable content that relates to the search query, where the configurable content includes a field that is configurable; identifying user-specific content based on the search query; configuring the field of the configurable content based on the user-specific content to thereby produce configured content; and outputting data corresponding to the search result and the configured content for use in generating a Web page containing the search result and the configured content.

Generating customized content

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.

Methods and systems for measuring brand uplift for search campaigns

Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, for providing content, comprising: identifying a social action that includes a preference designation for an object; determining a location of an individual user associated with the social action or a location associated with the object that is the subject of the preference designation; attributing the preference designation to both the location and to the individual user, where the attributed preference designation can be used to target further content to either the individual user or other users; and receiving a request for content that is related to the location and providing, responsive to the request, one or more content items based on the attributed preference designations.

Attributing preferences to locations for serving content

A system and machine-implemented method for displaying social presence information associated with content, the method including identifying content being provided for display, determining an entity associated with the content, determining one or more social presence scores for the content based on social activity at one or more pages belonging to the entity at one or more social networking services, the social presence score being determined based on one or more indications of the quantity or quality of the social activity, determining, based on at least one score of the one or more social presence scores, whether the content should be annotated with social presence information regarding the social activity and providing the content and social presence information for display if it is determined that the content should be annotated with social presence information.

Providing social presence information for content items

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.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining influence in a social community. In one aspect, a method includes identifying a user in a community; determining an influence score to be associated with the user in the community for a particular topic, including: determining a reach of one or more communications that relate to the particular topic that have been distributed from the user to other users in the community, and evaluating the reach as compared to the reach of one or more communications distributed from other users in the community for the particular topic; and storing the influence score in association with the user.

Determining influence in a social community

Methods and systems for providing content for display including receiving a first content item, receiving a second content item, automatically annotating the first content item and the second content item with an entity, comparing the entity annotation of the first content item and the entity annotation of the second content item, and, based on the comparison, displaying the annotated first content item with the second content item to a user.

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Fremont, CA, United States of America

Dani Suleman