QUERY REVISION USING KNOWN HIGHLY-RANKED QUERIES

Patent №

US 7,870,147

Granted

2011-01-11

Filed 2005

Owner

GOOGLE, INC.

AI components

4

ml · nlp · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11285814

An information retrieval system includes a query revision architecture providing one or more query revisers, each of which implements a query revision strategy. A query rank reviser suggests known highly-ranked queries as revisions to a first query by initially assigning a rank to all queries, and identifying a set of known highly-ranked queries (KHRQ). Queries with a strong probability of being revised to a KHRQ are identified as nearby queries (NQ). Alternative queries that are KHRQs are provided as candidate revisions for a given query. For alternative queries that are NQs, the corresponding known highly-ranked queries are provided as candidate revisions.

AI classification

Knowledge representation1.00
Natural language1.00
Planning0.98
Machine learning0.82
Vision0.48
AI hardware0.28
Evolutionary computation0.01
Speech0.00

Ownership

GOOGLE, INC.

assignment · 176330371

Assignors

BAILEY, DAVID R., BATTLE, ALEXIS J., COHN, DAVID ARIEL, ENGELHARDT, BARBARA, NAYAK, P. PANDURANG

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

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