发明名称 EFFICIENT COMPUTATION OF VARIABLE PREDICTIVENESS
摘要 Embodiments of the present invention relate to efficiently computing variable predictiveness such that an indication of variable predictiveness can be provided in real time. In this regard, aspects of the present invention enable a user (e.g., digital marketer) to input a query and, in response, receive an indication of variable predictiveness. To efficiently compute variable predictiveness in response to a submitted user query, mutual information is computed offline and, thereafter, used to generate, in real time, conditional mutual information of variables for a specified date range. The concept of conditional mutual information can be utilized to represent variable predictiveness or otherwise indication variable predictiveness, such as to identify a set of variables that accurately predict a metric. Using such an approach effectively reduces a number of data access attempts and calculations performed in real time thereby reducing utilization of a processor(s).
申请公布号 US2016224895(A1) 申请公布日期 2016.08.04
申请号 US201514610186 申请日期 2015.01.30
申请人 ADOBE SYSTEMS INCORPORATED 发明人 GOEL NITIN;AWASTHI MANOJ;MALIK KAPIL
分类号 G06N5/04;G06N7/00 主分类号 G06N5/04
代理机构 代理人
主权项 1. One or more computer storage media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform operations to facilitate computation of variable predictiveness, the operations comprising: receiving a predictiveness query that requests an indication of variable predictiveness relative to a metric, the predictiveness query including a date range for which the indication of variable predictiveness is desired; in response to the predictiveness query, utilizing at least one predetermined mutual information for a variable corresponding with time range to compute a conditional mutual information for the variable; and utilizing the conditional mutual information associated with the variable to provide an indication of variable predictiveness of the variable relative to the metric in relation to the date range.
地址 SAN JOSE CA US