WEB-RELEVANCE BASED QUERY CLASSIFICATION

Patent №

US 8,631,002

Granted

2014-01-14

Filed 2010

Owner

MICROSOFT CORPORATION

AI components

6

ml · nlp · kr · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12963944

Methods, systems, algorithms, and media are provided for query classification based upon web relevance. In embodiments, a knowledge domain is selected. A knowledge domain includes a set of seed-web domains which are classified to belong to the knowledge domain. For each seed-web domain, a filtered web search of a given query is implemented utilizing a filter associated with a particular seed-web domain to obtain a total number of filtered results for the seed-web domain. For each seed-web domain, a total number of non-filtered results are referenced. A percentage of coverage for each seed-web domain is calculated using the total number of filtered results for the seed-web domain and the total number of non-filtered results for the seed-web domain. An average percentage of coverage for the knowledge domain is calculated using the percentage of coverage for each seed-web domain.

AI classification

Natural language1.00
Knowledge representation1.00
Planning1.00
Machine learning0.98
AI hardware0.85
Evolutionary computation0.73
Vision0.26
Speech0.00

Ownership

MICROSOFT CORPORATION

assignment · 254800482

Assignors

SURESH, SANDEEP, BERG, ROBERT DAVID

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

© 2026 NYSGPT2525 LLC