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. 03, 2024

Filed:

Feb. 26, 2020
Applicant:

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

Inventors:

Zachary A. Silverstein, Jacksonville, FL (US);

Indervir Singh Banipal, Austin, TX (US);

Shikhar Kwatra, Durham, NC (US);

Raghuveer Prasad Nagar, Kota, IN;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 30/0282 (2023.01); G06F 16/951 (2019.01); G06F 16/958 (2019.01); G06Q 30/0601 (2023.01); H04L 67/50 (2022.01); G06F 40/174 (2020.01); G06F 40/205 (2020.01); G06F 40/279 (2020.01);
U.S. Cl.
CPC ...
G06Q 30/0282 (2013.01); G06F 16/951 (2019.01); G06F 16/958 (2019.01); G06Q 30/0627 (2013.01); G06Q 30/0641 (2013.01); H04L 67/535 (2022.05); G06F 40/174 (2020.01); G06F 40/205 (2020.01); G06F 40/279 (2020.01);
Abstract

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining user browsing data from a browser plugin of a client computer device, the client computing device being associated to the user; determining a current activity classification of the user in dependence on the examining user browsing data from the browser plugin of the client computer device; in response to the current activity classification satisfying a criterion, performing web crawling to obtain crowdsourced product review data of one or more product, the crowdsourced product review data comprising data from product reviews by multiple reviewers other than the user and including data from reviews from multiple product review sites; subjecting the crowdsourced product review data to natural language processing for extracting data tags associated to respective product reviews of the crowdsourced product review data; determining prompting data in dependence on the extracting data tags associated to respective product reviews of the crowdsourced product review data; and communicating the prompting data to the user, the prompting data guiding the user in the authoring of a product review of a certain product.


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