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:
Apr. 28, 2026

Filed:

Jan. 22, 2024
Applicant:

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

Inventors:

Deepak Saini, Bellevue, WA (US);

Jian Jiao, Bellevue, WA (US);

Bhawna Paliwal, Palwal, IN;

Mudit Dhawan, New Delhi, IN;

Manik Varma, New Delhi, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/95 (2019.01); G06F 16/951 (2019.01); G06F 16/9532 (2019.01); G06F 16/954 (2019.01); G06F 40/284 (2020.01);
U.S. Cl.
CPC ...
G06F 16/954 (2019.01); G06F 16/951 (2019.01); G06F 16/9532 (2019.01); G06F 40/284 (2020.01);
Abstract

A computing system is provided including processing circuitry configured to implement a ranker module configured to jointly compute relevance scores of a set of candidate keywords to a query, and to generate a ranked list of candidate keywords based on the relevance scores. The ranker module includes a cross attention encoder configured to jointly compute the relevance scores by obtaining contextual embeddings for query tokens in the query and union of keyword tokens in the set of keywords, selectively pooling the contextual embeddings for the query tokens and the union of keyword tokens, inputting the selectively pooled contextual embeddings into a classifier that has been trained to predict a relevance score of the plurality of keywords to the query based on the contextual embeddings to output a relevance score for each query-keyword pair for the keywords in the set of candidate keywords, and outputting the ranked list of candidate keywords.


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