Google Inc.

Prajakta Kalekar

Damian John Reeves

Rajas Moonka

Sachin Kulkarni

Benjamin William Clark

Mingwu Zhang

Yiding Liu

Systems and methods of determining languages of users in networked environments are provided herein. A data processing system having one or more processors coupled with memory can receive, from a client device, a request for content identifying an account profile. The data processing system can determine, using a log record identifying activities of the account profile, a first set of candidate languages. The data processing system can identify a plurality of information resources to be presented in accordance with a ranking. The data processing system can determine a second set of candidate languages from the plurality of languages based on content in each information resource and a corresponding ranking of each information resource. The data processing system can identify a set of languages included in both the first set of candidate languages and the second set of candidate languages.

Automated user language detection for content selection

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing non-uniform datasets. In one aspect, a method includes receiving multiple different datasets that have non-uniform labeling conventions and that are not organized in a hierarchical structure, organizing the multiple different datasets that are not organized in a hierarchical structure, into a predefined hierarchical taxonomy, including, analyzing text included in the dataset, assigning the dataset to one or more categories within the predefined hierarchical taxonomy based on the analysis of the textual content and one or more other characteristics of the dataset including a number of identification entries included in the dataset, selecting content for display within the content interface at the user device using one or more of the multiple different datasets that were organized into the predefined hierarchical taxonomy, providing, through the user frontend, the selected content for presentation at the user device.

Processing non-uniform datasets

Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for providing information about cookies. Input is received from a data provider, the input including one or more cookies associated with users in a network. Each cookie is evaluated, and an activity level in the network for a given cookie is determined. A threshold activity level is determined. Inactive cookies are identified based on the determined activity level of a respective cookie and the threshold activity level. Inactive cookies are reported.

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Santa Clara, CA, United States of America

Prajakta Kalekar