Sas Institute Inc.

Shunping Huang

Yan Xu

Gerald Donald Baulier

Patrick Nathan Koch

Xuejun Liao

Markel Sanz Ausin

A computing device determines a recommendation. (A) A first parameter matrix is updated using a first direction matrix and a first step-size parameter value that is greater than one. The first parameter matrix includes a row dimension equal to a number of users of a plurality of users included in a ratings matrix and the ratings matrix includes a missing matrix value. (B) A second parameter matrix is updated using a second direction matrix and a second step-size parameter value that is greater than one. The second parameter matrix includes a column dimension equal to a number of items of a plurality of items included in the ratings matrix. (C) An objective function value is updated based on the first parameter matrix and the second parameter matrix. (D) (A) through (C) are repeated until the first parameter matrix and the second parameter matrix satisfy a convergence test.

Recommendation system

A data streaming environment provides a summary of streaming data. An input interface receives streaming data from a sensor or an input device. The input device includes a user interface. The sensor is an Internet of Things (IOT) device. A processor is communicatively coupled to the input interface for processing the streaming data. A histogram update application is executed with the received data to provide a limited-size summary of the streaming data by fading outdated data by storing distance data and bin data. The processed data includes a plurality of records and variables that describe a characteristic of a physical object. An output interface is communicatively coupled to the processor to provide the processed data to be visually presented in one or more data graphs on a display device.

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Cary, NC, United States of America

Shunping Huang