Abstract: Techniques for performing tests by a speech processing system are described. A speech processing system may apply a hash function to a group of user identifiers, a content provider identifier, and time data to segment the group of user identifiers into non-holdout, holdout control, and holdout treatment groups. A non-holdout group represents users not subject to a test for a duration of time. A holdout control group represents users subject to a test for the duration of time, but which do not receive unresponsive content during the duration of time. A holdout treatment group represents users subject to a test and which receive unresponsive content over the duration of time. User activity of the holdout control and holdout treatment groups may be compared to measure an effectiveness of the unresponsive content. The measured effectiveness may be used to determine a ranking of the content provider at runtime.

Abstract: A system and method employing image analysis may provide an objective measure of the state of gingival tissue health. A region of analysis on an image of gingival tissue may be divided into pixels. Each pixel may have an associated color made up of component R, G and B values. A user may obtain an objective measurement of oral cavity soft tissue health by determining an objective measurement of the component color values of a gingival tissue image region and performing statistical analysis on the color values.