Google Inc.

Hirevue, Inc.

Sandeep Jain

Jonathan Kennell

Arun Mathew

Jocelyn Miller

Prashant Kumar

Alexander Anikul

Interview scheduling technologies are described. In one method, the interview-scheduling tool presents an interface to receive candidate availability information from a user for possible interview schedules for an interview candidate. The user interface permits the user to define an interview schedule framework that specifies desired criteria for a desired interview schedule for the interview candidate. The desired criteria of the interview schedule framework specify one or more interview sessions. The interview-scheduling tool receives the candidate availability information and the desired criteria and defines a data structure representing the interview schedule framework, wherein the data structure comprises a set of constraint satisfaction problems (CSPs). The interview-scheduling tool presents the interview schedule results that fit the desired interview schedule for selection by the user. The interview schedule results are automatically generated from the set of CSPs by a constraint solver tool and without additional user interaction at the user interface.

Generating interview schedule results from a set of constraint satisfaction problems

Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, including a method comprising: receiving a content item request from a resource, the resource associated with a resource sponsor; verifying the content item request including filtering out spam requests and determining if the content item request is valid; for any invalid requests, providing a content item in response to the content item request that is in conformance with an existing definition provided by the resource sponsor; and presenting information related to invalid requests to the resource sponsor in a user interface, the user interface including tools for enabling the resource sponsor to automatically accept and validate a content item request so that subsequent requests of the same type are validated upon receipt.

Auto-suggested content item requests

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New York, NY, United States of America

Sandeep Jain