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:
Sep. 12, 2023

Filed:

Jan. 21, 2022
Applicant:

Vast.com, Inc., Austin, TX (US);

Inventors:

Komal Singh Sethi, San Francisco, CA (US);

Milos Milinko Tatarevic, Belgrade, RS;

Aleksandar Milutin Bradic, Krusevac, RS;

Kevin Allen Laws, Belmont, CA (US);

Assignee:

VAST.COM, INC., Austin, TX (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/2457 (2019.01); G06F 16/242 (2019.01); G06F 16/248 (2019.01); G06F 16/907 (2019.01); G06F 16/951 (2019.01); G06F 16/2458 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24578 (2019.01); G06F 16/244 (2019.01); G06F 16/248 (2019.01); G06F 16/2462 (2019.01); G06F 16/2465 (2019.01); G06F 16/907 (2019.01); G06F 16/951 (2019.01);
Abstract

In one embodiment, a system and method of predicting sale transaction conversion rate of an item operates through a search of information in response to a query over a network. The item can be included in a category of items. Information for other relevant items of the category is available through network query and historical data, among others. Respective information for the other items of the category is available. The system and method includes discovering available information of the item of interest, extracting certain of the available information of the item, analyzing the certain information by comparing the information to other item information, weighting the information for the item in comparison to other items of the category, calculating a predictive score for the item of interest, and presenting the information of the item of interest ranked according to the predictive score as compared to other items of the category.


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