Recommending user actions based on collective intelligence for a multi-tenant data analysis system
US10121157B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 17, 2015 |
| Grant date | Nov 6, 2018 |
| Priority date | — |
| Expiry date | Apr 17, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/06316
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A multi-tenant system stores data for customers. The multi-tenant system presents user interfaces allowing users associated with the customers to perform analysis of data stored for the customer. The multi-tenant system determines recommendations for subsequent user actions that can be performed by a user in a context. The context includes a report being analyzed, a type of visualization of the report, one or more interactions performed by the user with the report, and so on. The multi-tenant system presents one or more widgets based on the recommendations that allow the user to perform the recommended action. The multi-tenant system may determine a recommendation based on past interactions of a subset of users of the multi-tenant system, for example, users associated with a type of industry, users having a particular role in an organization, or a level of experience of the user with analysis of data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.