Patent ID: 11907232
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 0:
1. One or more computer storage media having computer-executable instructions embodied thereon that, when executed by one or more processors, cause the one or more processors to perform a method, the method comprising:
determining a set of distribution parameters for a metric corresponding with a quantitative measure used to perform analytics, wherein a first distribution parameter is determined based on implicit positive feedback obtained in relation to the metric and usage data associated with the metric and a second distribution parameter is determined based on the usage data associated with the metric, wherein the second distribution parameter is further determined using direct implicit negative feedback obtained in accordance with the user not selecting or clicking on data associated with the metric, wherein the metric is selected from a set of metrics measuring various performance data associated with an organization and is selected based on an occurrence of an anomaly associated with the metric;
generating a distribution for the metric using the set of distribution parameters for the metric;
sampling the distribution to identify a relevance score of the metric indicating an extent of relevance of the metric to a user, wherein the relevance score indicates the metric is relevant to the user based on the relevance score being in a set of highest relevance scores among a set of relevance scores or based on the relevance score exceeding a threshold relevance value; and
based on the relevance score indicating the metric is relevant to the user, providing an indication of the metric, or data associated therewith, for presentation to the user.