Multi-layered product value score generation
US10839419B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 9, 2018 |
| Grant date | Nov 17, 2020 |
| Priority date | — |
| Expiry date | Mar 8, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0247
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
An approach is provided for determining a product value score. Features of a product are identified. Ranking data for each identified feature is collected. The ranking data includes popularity, stability, availability, and memory usage of each feature. Additional data for each feature are determined. The additional data includes an importance, a conversion rate, and a marketing impact of each feature. Based on the ranking data and the additional data, normalized data is generated according to characteristics of the features. Based on a data science prediction analysis which uses the identified features, weights of the features are determined. Based on initial results of the data science prediction analysis, a key product is selected from a set of products. Based on the key product and the weights, product value scores of products in the set of products are determined.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.