Method of and system for building search index using machine learning algorithm
US11194848B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 4, 2019 |
| Grant date | Dec 7, 2021 |
| Priority date | — |
| Expiry date | Jan 24, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for selecting documents for inclusion into a search engine search index executed by a machine learning algorithm (MLA) comprising: acquiring a plurality of digital documents, each respective document having a respective size, determining a respective value parameter based on user interactions, ranking the digital documents to obtain a ranked list of documents based on: a respective quality value parameter based on the respective value parameter and the respective size, the ranking being performed such that a cumulative quality value parameter is maximized based on: the quality value parameter of a given digital document is weighted by a sum of the sizes of a given subset of documents, wherein the given subset consists of documents having a respective value parameter below the value parameter of the given digital document, selecting a subset from the ranked list and storing the subset in the search index.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.