Machine learned chart recommendation system
US11526727B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | May 14, 2020 |
| Grant date | Dec 13, 2022 |
| Priority date | — |
| Expiry date | Mar 24, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/9035
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are disclosed to implement a chart recommendation system that recommends charts to users during a chart building process. In embodiments, when a new chart is being created, specified features of the chart are provided to a machine learned model such as a self-organizing map. The model will determine a previous chart that is the most similar to the new chart and recommend the previous chart to the user for recreation. In embodiments, newly created charts are added to a library and used to update the model. Charts that are highly popular or authored by expert users may be weighed more heavily during model updates, so that the model will be more influenced by these charts. Advantageously, the disclosed system allows novice users to easily find similar charts created by other users. Additionally, the disclosed system is able to automatically group similar charts without using human-defined classification rules.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.