DETERMINING RELEVANCE OF A DOCUMENT TO A QUERY BASED ON SPANS OF QUERY TERMS

Patent №

US 7,480,652

Granted

2009-01-20

Filed 2005

Owner

MICROSOFT CORPORATION

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11259621

A relevance system determines the relevance of a query term to a document based on spans within the document that contain the query term. The relevance system aggregates the relevance of the query terms into an overall relevance for the document. For each query term, the relevance system calculates a span relevance for each span that contains that query term. The relevance system then aggregates the span relevances for a query term into a query term relevance for that document. The relevance system may aggregate the query term relevances into a document relevance.

Machine learningNatural languageKnowledge representationPlanningAI hardwareG06F 16/951G06F 16/334Y10S 707/99931Y10S 707/99932Y10S 707/99933Y10S 707/99934Y10S 707/99935

AI classification

Natural language1.00
Knowledge representation1.00
Planning0.99
Machine learning0.99
AI hardware0.63
Evolutionary computation0.31
Vision0.00
Speech0.00

Ownership

MICROSOFT CORPORATION

assignment · 173330739

Assignors

WEN, JI-RONG, SONG, RUIHUA, MA, WEI-YING

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

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