Systems and methods for establishing and utilizing a hierarchical Bayesian framework for ad click through rate prediction
US10559004B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 2, 2015 |
| Grant date | Feb 11, 2020 |
| Priority date | — |
| Expiry date | Jun 15, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to a computer system configured establish and utilize a database for online ad realization prediction in an ad display platform associated with N parties, wherein N is a positive integral greater than 1. The computer system is configured obtain a party hierarchy for each of the N parties including a plurality of features of the party; select a target ad display event including N features, each of the N features corresponding to a node in a party hierarchy; obtain a prior probability reflecting an unconditional probability of ad realization occurrence at the target ad display event among all possible ad display events; for each of the N features: determine a marginal prior probability by decomposing components associated with the other N−1 features from the prior probability; determine a marginal posterior probability based on the marginal prior probability; and save the marginal posterior probability in the corresponding node of the party hierarchy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.