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:
Jun. 09, 2020

Filed:

Sep. 29, 2017
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Saravana Kumar Siva Kumaran, Fremont, CA (US);

Jiayan Gan, San Jose, CA (US);

Mohamed Temraz, San Francisco, CA (US);

Santosh Shankar, Fremont, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/35 (2019.01); G06F 16/31 (2019.01); G10L 15/18 (2013.01); G06F 16/28 (2019.01);
U.S. Cl.
CPC ...
G06F 16/355 (2019.01); G06F 16/31 (2019.01); G06F 16/358 (2019.01); G10L 15/1815 (2013.01); G06F 16/287 (2019.01);
Abstract

The subject technology provides a search index that maps clusters of semantically similar phrases to documents that contain any one of the phrases of the respective cluster. The subject technology may identify the phrases from a set of documents, such as a document corpus, where each of the documents is associated with a document identifier. The subject technology may generate the clusters of semantically similar phrases from the identified phrases, where each of the generated clusters is assigned a cluster identifier. The subject technology generates an index that stores each respective cluster identifier of each respective cluster in association with each document identifier of each of the documents that includes at least one of the phrases contained in the respective cluster. Further, the subject technology stores the index in a memory such that the index may be subsequently utilized to identify documents that match a search query.


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