公开(公告)号：US10817479B2

公开(公告)日：2020-10-27

申请号：US15631306

申请日：2017-06-23

Applicant: salesforce.com, inc.

Inventor： Arun Kumar Jagota ,  Marc Joseph Delurgio ,  Venkata Murali Tejomurtula

IPC: G06F16/185 ,  G06F16/21 ,  G06F16/31 ,  G06F16/2458 ,  G06F17/18

Abstract: Recommending data providers' datasets based on database value densities is described. A database system determines a provider dataset density for a value by identifying a frequency of the value in a dataset that is provided by a data provider. The database system determines a user database density for the value by identifying a frequency of the value in a database used by a data user. The database system determines a relative density based on a relationship between the provider dataset density and the user database density. The database system determines an evaluation metric for the value, based on a combination of the relative density and the user database density. The database system causes a recommendation to be outputted, based on a relationship of the evaluation metric relative to other evaluation metrics for other values, which recommends that the data user acquire at least a part of the dataset.