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:
Dec. 05, 2023

Filed:

Jun. 29, 2022
Applicant:

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

Inventors:

Itzik Malkiel, Ramat Gan, IL;

Noam Koenigstein, Tel Aviv, IL;

Oren Barkan, Tel Aviv, IL;

Jonathan Ephrath, Tel Aviv, IL;

Yonathan Weill, Tel Aviv, IL;

Nir Nice, Tel Aviv, IL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/30 (2019.01); G06F 16/33 (2019.01); G06F 16/34 (2019.01);
U.S. Cl.
CPC ...
G06F 16/3347 (2019.01); G06F 16/345 (2019.01);
Abstract

Semantic search techniques via focused summarizations are described. For example, a search query is received for a text-based content item in a data set comprising a plurality of text-based content items. A first feature vector representative of the search query is obtained. A respective semantic similarity score is determined between the first feature vector and each of a plurality of second feature vectors. Each of the second feature vectors is representative of a machine-generated summarization of a respective text-based content item. The machine-generated summarization comprises a plurality of multi-word fragments that are selected from the respective text-based content item via a transformer-based machine learning model. A search result is provided responsive to the search query. The search result comprises a subset of the plurality of text-based content items associated with a respective second feature vector having a semantic similarity score that has a predetermined relationship with a predetermined threshold value.


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