Google Inc.

Chen Xiao

Vikram Aggarwal

Hui Sok Moon

Lik Mui

Douglas Vandermolen

Systems and methods for providing time-delimited action suggestions are provided. In one example embodiment, a method includes receiving, by one or more computing devices from a user device, data indicative of a user-requested time-bound activity. The time-bound activity is associated with a time period. The method includes identifying, by the one or more computing devices, one or more parameters associated with a user that requested the time-bound activity. The method includes determining, by the one or more computing devices, a suggested action based at least in part on the one or more parameters associated with the user and the time period associated with the time-bound activity. The method includes providing, by the one or more computing devices, an output indicative of the suggested action to the user device.

Time-delimited action suggestion system

A computer-implemented method for visualizing a multi-dimensional dataset at a client device is disclosed. The client device displays a first view of a subset of the multi-dimensional dataset, including displaying dimension data of a first reference dimension attribute and metric data of a first metric attribute that corresponds to the respective first reference dimension data along a first axis. After receiving a user request to partition the metric data of the first metric attribute by a first pivot dimension attribute, the client device requests and receives dimension data of the first pivot dimension attribute and the corresponding partitioned metric data of the first metric attribute from a server system and displays a second view of the subset of the multi-dimensional dataset, including displaying the first pivot dimension data and the corresponding partitioned metric data of the first metric attribute along the second axis.

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Palo Alto, CA, United States of America

Chen Xiao