Prediction-based action-recommendations in a cloud system
US11423095B2 · kind B2 · utility
Assignee
Inventors
- William Nain Saez
- Pramod Kumar Gupta
- Sidhika Varshney
- Jichen Yang
- Joe A. Herzog
- Michael M. Santos
- Ransom Lloyd Richardson
- Yimeng Li
- Yash Ravi Punjabi
- Tejprakash S. Gill
- Tracy A. Childers
- Siqing CHEN
- Rui Hu
- Jinnie Park
- Elijah John Scherrer
- Raymond C. Li
- Juan Antonio Karmy Tacla
- Priya Tushar Nakhre
- Anshul Basia
- David Milićević
Key dates
| Filing date | Sep 3, 2020 |
| Grant date | Aug 23, 2022 |
| Priority date | — |
| Expiry date | Sep 3, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/535
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and computer storage media for providing action-recommendations (e.g., save action, collaboration action, and upload action) using cloud system operations in a cloud system. For example, action-recommendations are predicted using usage data of applications and communicated to a user (e.g., via a prompt) such that the user elects to perform or not perform the action-recommendation. In operation, usage data for an application and an action-recommendation profile are accessed. Determining that an action-recommendation should be generated is based on the usage data and the action-recommendation profile. The determination is further based on action scores and thresholds (e.g., save action, collaboration action, upload action). When the action scores meet certain thresholds, the action-recommendation is generated as a save-action-recommendation, a collaboration-action-recommendation, or an upload-action-recommendation. Based on generating the action-recommendation, an action recommendation interface element (e.g., an action prompt or action dialog) is generated to perform a corresponding action.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.