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.
Lab
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.
AI classification
Ownership
A9.COM, INC.
assignment · 151730639