System for predicting documents relevant to focus documents by s

Details System for predicting documents relevant to focus documents by s System for predicting documents relevant to focus documents by s

1997-04-09

1998-11-10

Lintz, Paul R.

Data processing: database and file management or data structures

Database design

Data structure types

707 5, 707102, G06F 1730

Patent

active

058359052

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.

REFERENCES:
patent: 5418948 (1995-05-01), Turtle
patent: 5754939 (1998-05-01), Herz et al.
Mendelzon et al., "Querying the World Wide Web", Proceedings of the 4th International Conference on Parallel and Distributed Information Systems; 18-20 Dec. 1996, Miami Beach, Florida, pp. 80-91.

Affiliated with

Also associated with

Rating

System for predicting documents relevant to focus documents by s does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with System for predicting documents relevant to focus documents by s, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System for predicting documents relevant to focus documents by s will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-1528948