Personalized visualization recommendation system
US11720590B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 6, 2020 |
| Grant date | Aug 8, 2023 |
| Priority date | — |
| Expiry date | Nov 15, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/32
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for personalized visualization recommendation are described. Embodiments of the described systems and methods are configured to identify a first matrix representing user interactions with a plurality of data attributes corresponding to a plurality of datasets, a second matrix representing user interactions with a plurality of visualizations, and a third matrix representing a plurality of meta-features for each of the data attributes; compute low-dimensional embeddings representing user characteristics, the data attributes, visualization configurations, and the meta-features using joint factorization of the first matrix, the second matrix and the third matrix; generate a model for predicting visualization preference weights based on the low-dimensional embeddings; predict the visualization preference weights for a user corresponding to a plurality of candidate visualizations of dataset using the model; and generate a personalized visualization of the dataset for the user based on the predicted visualization preference weights.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.