Sean Robert Brady

US Patent:

6463430, Oct 8, 2002

Filed:

Jul 10, 2000

Appl. No.:

09/613180

Inventors:

Sean Brady - San Diego CA
Chris Harris - San Diego CA
Josh Dammeier - San Diego CA
Sameer Samat - San Diego CA

Assignee:

Mohomine, Inc. - San Diego CA

International Classification:

G06F 1730

US Classification:

707 3, 707 6, 707102

Abstract:

An automated method of creating or updating a database of resumes and related documents, the method comprising, a) entering at least one example document that is relevant to a subject taxonomy in a retrieval priority list, if there is a plurality of example documents stored in the retrieval priority list, ranking the example documents according to the relevancy of the example documents to the subject taxonomy; b) retrieving a document from a network of documents, where the document is the most relevant document to the subject taxonomy stored in the retrieval priority list; c) harvesting information from specified fields of the document; d) classifying the information into one or more classes according to specified categories of the subject taxonomy; e) storing the information into a database; f) determining whether the information are links to other documents; g) ranking the links according to relevancy to the subject taxonomy, and storing the links in the retrieval priority list according to the relevancy; h) terminating the method, provided the methods stop criteria have been met; and i) repeating steps b) through h), provided the methods stop criteria has not been met.

US Patent:

20030120653, Jun 26, 2003

Filed:

Oct 7, 2002

Appl. No.:

10/267952

Inventors:

Sean Brady - San Diego CA, US
Christopher Harris - San Diego CA, US
Josh Dammeier - San Diego CA, US
Sameer Samat - San Diego CA, US

International Classification:

G06F007/00

US Classification:

707/007000

Abstract:

An automated method of creating or updating a database, the method comprising, a) entering at least one example document that is relevant to a subject taxonomy in a retrieval priority list, if there is a plurality of example documents stored in the retrieval priority list, ranking the example documents according to the relevancy of the example documents to the subject taxonomy; b) retrieving a document from a network of documents, where the document is the most relevant document to the subject taxonomy stored in the retrieval priority list; c) harvesting information from specified fields of the document; d) classifying the information into one or more classes according to specified categories of the subject taxonomy; e) storing the information into a database; f) determining whether the information are links to other documents; g) ranking the link's according to relevancy to the subject taxonomy, and storing the links in the retrieval priority list according to the relevancy; h) terminating the method, provided the method's stop criteria have been met; and i) repeating steps b) through h), provided the method's stop criteria has not been met.