System for predicting documents relevant to focus documents by spreading activation through network representations of a linked collection of documents
US5835905A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Apr 9, 1997 |
| Grant date | Nov 10, 1998 |
| Priority date | — |
| Expiry date | Apr 9, 2017 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99943
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for extracting and analyzing information from a collection of linked documents at a locality to enable categorization of documents and prediction of documents relevant to a focus document. The system obtains and analyzes topology, usage and path information from for a collection at a locality, e.g. a web locality on the world wide web. For categorization, document meta information is represented as document vectors. Predefined criteria is applied to the document vectors to create lists of "similar" types of documents. For relevance prediction, networks representing topology, usage path and text similarity amongst the documents in the collection are created. A spreading activation technique is applied to the networks starting at a focus document to predict the documents relevant to the focus document. Using category and relevance prediction information, tools can be built to enable a user to more efficiently traverse through the collection of linked documents.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.