Latent feature based tag routing
US9767409B1 · kind B1 · utility
11Cited by
13References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Mar 30, 2015 |
| Grant date | Sep 19, 2017 |
| Priority date | — |
| Expiry date | Mar 17, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/044
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Features are disclosed for identifying and routing items for tagging using a latent feature model, such as a recurrent neural network language model (RNNLM). The model may be trained to identify latent features for catalog items such as movies, books, food items, beverages, and the like. Based on similarities in latent features, tags previous assigned to items may be applied to untagged items. Application may be manual or automatic. In either case, resources need to be balances to ensure efficient tagging of items. The included features help to identify and direct these limited tagging resources.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.