SYSTEM AND METHODS FOR PREDICTING CORRECT SPELLINGS OF TERMS IN MULTIPLE-TERM SEARCH QUERIES

Patent №

US 6,853,993

Granted

2005-02-08

Filed 2002

Owner

A9.COM, INC.

AI components

3

ml · nlp · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10114555

A search engine process predicts the correct spellings of search terms within multiple-term search queries. In one embodiment, when a user submits a multiple-term search query that includes a non-matching term and at least one matching term, a table is accessed to look up a set of terms that are “related” to the matching term or terms. A spelling comparison function is then used to determine whether any of these related terms is sufficiently similar in spelling to the non-matching term to be deemed a candidate correctly-spelled replacement. A candidate replacement term may automatically be substituted for the non-matching term, or may be suggested to the user as a replacement. The invention also includes a process for identifying terms that are related to each other based on the relatively high frequencies with which they co-occur within search queries of users, database records, and/or specific database fields.

Machine learningNatural languagePlanningG06F 40/226G06F 16/3322G06F 16/3338G06F 16/90G06F 16/951G06F 16/9532G06F 40/232G06F 40/274+6 more

AI classification

Natural language1.00
Planning0.99
Machine learning0.79
Knowledge representation0.14
AI hardware0.06
Evolutionary computation0.00
Speech0.00
Vision0.00

Ownership

A9.COM, INC.

assignment · 151730639

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