The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 30, 2023

Filed:

Feb. 26, 2021
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Chiqun Zhang, Sunnyvale, CA (US);

Michael Robert Evans, Seattle, WA (US);

Maksim Lepikhin, Boulder, CO (US);

Dragomir Dimitrov Yankov, Sunnyvale, CA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/338 (2019.01); G06F 16/387 (2019.01); G06F 16/2457 (2019.01); G06F 16/903 (2019.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06F 16/24578 (2019.01); G06F 16/338 (2019.01); G06F 16/90344 (2019.01); G06N 3/045 (2023.01); G06F 16/387 (2019.01);
Abstract

Technology is described herein for ranking candidate result items in at least two stages. In a first stage, the technology uses a first attention-based neural network to determine an extent of attention that each token of an input query should pay to the tokens of each candidate result item. In a second stage, the technology uses a ranking subsystem to perform listwise inference on output results provided by the first stage, to generate a plurality of ranking scores that establish an order of relevance of the candidate results items. The ranking subsystem may use a second attention-based neural network to perform the listwise inference. According to some implementations, the technology is configured to process queries and candidate result items having different kinds and combinations of features. For instance, one kind of input query may include text-based features, structure-based features, and geographic-based features.


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