Evaluating personalized recommendation models
US10572820B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 2, 2015 |
| Grant date | Feb 25, 2020 |
| Priority date | — |
| Expiry date | Sep 12, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A personalized recommendation model scores each object in an interaction set of objects with which a user interacted and in a ransom set of objects with which the user lacks known interaction. A system sorts each scored object based on a decreasing order of each corresponding score, and identifies a high scoring set of the sorted objects with a number (equal to the number of objects in the interaction set of objects) of highest corresponding scores. The system aggregates a corresponding order value for each object in the high scoring set that is also in the interaction set of objects (the corresponding order value for an object is based on a corresponding order for the object in the high scoring set). The system evaluates the model for the user by dividing the aggregated order value by an aggregation of a corresponding order value for each object in the high scoring set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.