DOCUMENT RETRIEVAL OVER NETWORKS WHEREIN RANKING AND RELEVANCE SCORES ARE COMPUTED AT THE CLIENT FOR MULTIPLE DATABASE DOCUMENTS

Patent №

US 5,659,732

Granted

1997-08-19

Filed 1995

Owner

INFOSEEK CORPORATION

Lab

AI components

4

ml · nlp · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08443348

A document search method using a plurality of databases available from one or more servers using one or more search engines. For each database, the number of records is determined and reported, as well as frequency of search query term occurances or hits, together with identification of database records corresponding to the hits. Reports from a plurality of databases are furnished to a user terminal, a client, where client software computes a relevance score for each record based upon the number of records in the database, the number of records having at least one hit and the number of hits for each record. This local computation from uniform data allows all documents to be ranked consistently as if coming from a single database.

Machine learningNatural languageKnowledge representationPlanningG06F 16/9538G06F 16/951Y10S 707/99934Y10S 707/99935Y10S 707/99939

AI classification

Natural language1.00
Machine learning1.00
Knowledge representation1.00
Planning0.99
AI hardware0.28
Vision0.00
Speech0.00
Evolutionary computation0.00

Ownership

INFOSEEK CORPORATION

assignment · 75370352

Assignors

KIRSCH, STEVEN T.

On an employer assignment, the assignors are typically the inventors.

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