Detecting topical similarities in knowledge databases
US10970291B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 19, 2018 |
| Grant date | Apr 6, 2021 |
| Priority date | — |
| Expiry date | Feb 28, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided are systems, methods, and devices for providing topical similarities in a knowledge database. A knowledge database containing a number of articles is accessed, and clickstream data for the knowledge database is obtained including aggregated counts of user clicks on links within articles in the knowledge database. The clickstream data is sorted by source article, with each source article corresponding to a number of target articles that the source article links to. A directed article graph is constructed based on the sorted clickstream data. An input search term is received from an input device, and then an unbounded graph search is performed on the directed graph based on the input search term. Finally, a ranking heuristic for a predefined number of articles in the knowledge database is provided corresponding to topical similarity of the articles to the input search term.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.