Clustering web page addresses for website analysis
US11455364B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 23, 2020 |
| Grant date | Sep 27, 2022 |
| Priority date | — |
| Expiry date | Oct 10, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/2119
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A machine learning clustering process is trained. Web pages of a website are clustered. User flow data associated with a first browsing session at the website is obtained. The user flow data includes a plurality of web page identifiers (e.g., URLs). A web page record for each of the web page identifiers is generated. Each web page record includes words of the corresponding web page identifier. Clusters of web page identifiers previously output from the trained machine learning clustering process are received. For each of the web page records, a cluster of web page identifiers is identified by mapping the web page record to one of the clusters of web page identifiers using the machine learning clustering process. A directed graph representative of the first browsing session is constructed. One or more nodes of the directed graph are the identified clusters of web page identifiers.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.