Position-bias correction for predictive and ranking systems
US12265987B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 28, 2022 |
| Grant date | Apr 1, 2025 |
| Priority date | — |
| Expiry date | Oct 28, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0277
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and computer programs are presented for eliminating bias while training an ML model using training data that includes past experimental data. One method includes accessing experiment results, for A/B testing of a first model, that comprise information regarding engagement with a first set of items presented to users, each item being presented within an ordered list of results. A position bias is calculated for positions within the ordered list of results where the items were presented. A machine-learning program is trained to obtain a second model using a training set comprising values for features that include the calculated position bias. The method includes detecting a second set of items to be ranked for presentation to a first user, and calculates, using the second model, a relevance score for the second set of items, which are ranked based on the respective relevance score and presented on a display.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.