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:
Nov. 17, 2020

Filed:

Jan. 09, 2018
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

ChunHui Y. Higgins, Raleigh, NC (US);

Bo Zhang, Cary, NC (US);

Chul Sung, Austin, TX (US);

Laura G. Ellis, Austin, TX (US);

Janhavi Das, Austin, TX (US);

Blake McGregor, Foster City, CA (US);

Adam M. Gunther, Raleigh, NC (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
G06Q 30/0246 (2013.01); G06Q 30/0247 (2013.01);
Abstract

An approach is provided for determining a product value score. Features of a product are identified. Ranking data for each identified feature is collected. The ranking data includes popularity, stability, availability, and memory usage of each feature. Additional data for each feature are determined. The additional data includes an importance, a conversion rate, and a marketing impact of each feature. Based on the ranking data and the additional data, normalized data is generated according to characteristics of the features. Based on a data science prediction analysis which uses the identified features, weights of the features are determined. Based on initial results of the data science prediction analysis, a key product is selected from a set of products. Based on the key product and the weights, product value scores of products in the set of products are determined.


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