Filtering content using generalized linear mixed models
US11397899B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 26, 2019 |
| Grant date | Jul 26, 2022 |
| Priority date | — |
| Expiry date | May 26, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some embodiments, a computer system selects a first subset of candidate content items based on their filter scores that are generated based on a partial generalized linear mixed model comprising a baseline model and a user-based model, with the baseline model being a generalized linear model, and the user-based model being a random effects model based on user actions by the target user directed towards reference content items related to the candidate content items. In some embodiments, the computer system then selects a second subset from the first subset based on recommendation scores that are generated based on a full generalized linear mixed model comprising the baseline model, the user-based model, and an item-based model, with the item-based model being a random effects model based on user actions directed towards the candidate online content item by reference users related to the target user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.