Opower, Inc.

Natalie Musick

Erik Shilts

Benjamin Packer

Madhanmohan Raju

Aspects of the subject technology relate to methods and systems for classifying businesses according to an open-hours classification category, for example, based on resource consumption data. In some implementations, methods of the subject technology include steps for receiving a plurality of operating hours categories, wherein each of the operating hours categories is associated with at least one usage profile, and receiving business information for an unclassified business, wherein the business information comprises resource consumption data for the unclassified business. In some aspects, methods of the subject technology can further include steps for determining if the unclassified business should be associated with one of the operating hours categories based on the resource consumption data for the unclassified business. Systems and machine-readable media are also provided.

Classification engine for identifying business hours

Aspects of the subject technology relate to methods and systems for classifying businesses based on various types of information, such as resource consumption information. In some implementations, methods of the subject technology include steps for receiving a plurality of business categories, wherein each of the business categories is associated with at least one category profile, and receiving business information for an unclassified business, wherein the business information comprises behavioral attribute information corresponding with the unclassified business. In some implementations, the methods disclosed herein can further include steps for comparing the business information to one or more of the category profiles to determine if the unclassified business should be associated with at least one of the plurality of business categories.

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San Francisco, CA, United States of America

Natalie Musick