IP Library › Granted Patent US 11,188,968
Granted Patent B2
US 11,188,968 · App. 16/804,058 · Granted Nov 30, 2021

Component based review system

Inventors: Indervir Singh Banipal (Austin, TX); Shikhar Kwatra (Durham, NC); Zachary A. Silverstein (Jacksonville, FL); Raghuveer Prasad Nagar (Kota, IN)
Assignee: International Business Machines Corporation
G06Q30/0631G06Q10/10G06Q30/0282G06Q30/0627G06Q30/0629G06Q30/0641G06F40/20G06N3/02H04L67/10
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Quick Facts
Patent No.
US 11,188,968
App. No.
16/804,058
Filed
Feb 28, 2020
Granted
Nov 30, 2021
Kind
B2
Art Unit
3625
USPC
705/26.63
Abstract

A component-based review system for generating a digital recommendation is provided. A computing device monitors for one or more consumer-based reviews. A computing device identifies one or more commercial products or services associated with the one or more consumer-based reviews. A computing device generates a digital recommendation associated with the one or more consumer-based reviews.

Claims (63)

1. A computer-implemented method, the method comprising:

monitoring, by one or more processors, for one or more consumer-based reviews relating to one or more commercial products or services;

identifying, by one or more processors, one or more individual components of the commercial products or services, the individual components having respective individual ratings in the one or more consumer-based reviews

identifying, by one or more processors, levels of expertise relating to respective consumers that submitted the one or more consumer-based reviews;

generating, by one or more processors, a quality assurance value for a commercial product or service based, at least in part, on providing, as inputs to a neural network: (i) the identified one or more individual components, and (ii) the identified levels of expertise;

weighting, by one or more processors, the quality assurance value for the commercial product or service based, at least in part, on: (i) an overall average rating of the commercial product or service, (ii) an average rating for the identified one or more individual components of the commercial product or service, and (iii) similar components associated with one or more commercial products or services unrelated to the particular commercial product or service; and

generating, by one or more processors, a digital recommendation associated with the one or more consumer-based reviews based, at least in part, on the weighted quality assurance value.

2. The computer-implemented method of claim 1 , the method further comprising:

communicating, by one or more processors, the digital recommendation to a user using a user interface, wherein the user interface is: (i) a web user interface (WUI) and (ii) a form based interface.

3. The computer-implemented method of claim 1 , wherein the quality assurance value is further based, at least in part, on providing additional inputs to the neural network, wherein the additional inputs include

(i) one or more overall ratings associated with the one or more consumer-based reviews, (ii) the one or more respective individual ratings for the identified one or more individual components, and (iii) a quality of feedback value relating to the one or more consumer-based reviews.

4. The computer-implemented method of claim 1 , the method further comprising:

receiving, by one or more computer processors, a review request relating to a commercial product or service the user wishes to purchase;

identifying, by one or more computer processors: (i) the commercial product or service associated with the review request, and (ii) the one or more individual components of the commercial product or service associated with the review request; and

determining, by one or more computer processors, one or more similar commercial products or services to the commercial product or service the user wishes to purchase.

5. The computer-implemented method of claim 4 , wherein the determining of the one or more similar commercial products or services to the commercial product or service the user wishes to purchase is based, at least in part, on: (i) the one or more individual ratings of the individual components of the commercial product or service the user wishes to purchase, (ii) an overall rating of the commercial product or commercial service the user wishes to purchase, (iii) one or more individual ratings of individual components of the similar commercial products or services, and (iv) an overall rating of the similar commercial products or services.

6. The computer-implemented method of claim 1 , wherein the digital recommendation represents a UI and includes: (i) an overall rating associated with a commercial product or service identified in a review request, (ii) individual ratings of the one or more individual components the commercial product or service identified in the review request, (iii) overall ratings associated with similar commercial products or services to the commercial product or service identified in the review request, and (iv) individual ratings of one or more individual components associated with the similar commercial products or services.

7. The method of claim 1 , the method further comprising:

calculating, by the one or more computer processors, an average rating associated with the commercial product or service based, at least in part, on: (i) an overall rating of the commercial product or service, (ii) respective individual ratings of the one or more individual components of the commercial product or service, and (iii) quality of received feedback associated with the one or more consumer-based reviews;

generating, by the one or more computer processors, a commercial evaluation based, at least in part, on the calculated average rating; and

communicating, by the one or more computer processors, the commercial evaluation to a business entity.

8. A computer program, the computer program product comprising:

one or more non-transitory computer-readable storage media and program instructions stored on the one or more computer-readable storage media, the stored program instructions comprising:

program instructions to monitor for one or more consumer-based reviews relating to one or more commercial products or services;

program instructions to identify one or more individual components of the commercial products or services, the individual components having respective individual ratings in the one or more consumer-based reviews;

program instructions to identify levels of expertise relating to respective consumers that submitted the one or more consumer-based reviews;

program instructions to generate a quality assurance value for a commercial product or service based, at least in part, on providing, as inputs to a neural network: (i) the identified one or more individual components, and (ii) the identified levels of expertise;

program instructions to weight, by one or more processors, the quality assurance value for the commercial product or service based, at least in part, on: (i) an overall average rating of the commercial product or service, (ii) an average rating for the identified one or more individual components of the commercial product or service, and (iii) similar components associated with one or more commercial products or services unrelated to the particular commercial product or service; and

program instructions to generate a digital recommendation associated with the one or more consumer-based reviews based, at least in part, on the generated quality assurance value.

9. The computer program product of claim 8 , the stored program instructions further comprising:

program instructions to communicate the digital recommendation to a user using a user interface, wherein the user interface is: (i) a web user interface (WUI) and (ii) a form based interface.

10. The computer program product of claim 8 , wherein the quality assurance value is further based, at least in part, on providing additional inputs to the neural network, wherein the additional inputs include (i) one or more overall ratings associated with the one or more consumer-based reviews, (ii) the one or more respective individual ratings for the identified one or more individual components, and (iii) a quality of feedback value relating to the one or more consumer-based reviews.

11. The computer program product of claim 8 , the stored program instructions further comprising:

program instructions to receive a review request relating to a commercial product or service the user wishes to purchase;

program instructions to identify: (i) the commercial product or commercial service associated with the review request, and (ii) the one or more individual components of the commercial product or commercial service-associated with the review request; and

program instructions to determine one or more similar commercial products or services to the commercial product or service the user wishes to purchase.

12. The computer program product of claim 11 , wherein the determining of the one or more similar commercial products or services to the commercial product or service the user wishes to purchase is based, at least in part, on: (i) the one or more individual ratings of the individual components of the commercial product or service the user wishes to purchase, (ii) an overall rating of the commercial product or commercial service the user wishes to purchase, (iii) one or more individual ratings of individual components of the similar commercial products or services, and (iv) an overall rating of the similar commercial products or services.

13. The computer program product of claim 8 , wherein the digital recommendation represents a UI and includes: (i) an overall rating associated with a commercial product or service identified in a review request, (ii) individual ratings of the one or more individual components the commercial product or service identified in the review request, (iii) overall ratings associated with similar commercial products or services to the commercial product or service identified in the review request, and (iv) individual ratings of one or more individual components associated with the similar commercial products or services.

14. The computer program product of claim 8 , the stored program instruction further comprising:

program instructions to calculate an average rating associated with the commercial product or service based, at least in part, on: (i) an overall rating of the commercial product and/or service, (ii) respective individual ratings of one or more individual components of the commercial product and/or service, and (iii) quality of received feedback associated with the one or more consumer-based reviews;

program instructions to generate a commercial evaluation based, at least in part, on the calculated average rating; and

program instructions to communicate the commercial evaluation to a business entity.

15. A computer system, the computer system comprising:

one or more computer processors;

one or more computer readable storage medium; and

program instructions stored on the computer readable storage medium for execution by at least one of the one or more processors, the stored program instructions comprising:

program instructions to monitor for one or more consumer-based reviews relating to one or more commercial products or services;

program instructions to identify one or more individual components of the commercial products or services, the individual components having respective individual ratings in the one or more consumer-based reviews;

program instructions to identify levels of expertise relating to respective consumers that submitted the one or more consumer-based reviews;

program instructions to generate a quality assurance value for a commercial product or service based, at least in part, on providing, as inputs to a neural network: (i) the identified one or more individual components, and (ii) the identified levels of expertise;

program instructions to weight, by one or more processors, the quality assurance value for the commercial product or service based, at least in part, on: (i) an overall average rating of the commercial product or service, (ii) an average rating for the identified one or more individual components of the commercial product or service, and (iii) similar components associated with one or more commercial products or services unrelated to the particular commercial product or service; and

program instructions to generate a digital recommendation associated with the one or more consumer-based reviews based, at least in part, on the generated quality assurance value.

16. The computer system of claim 15 , wherein the quality assurance value is further based, at least in part, on providing additional inputs to the neural network, wherein the additional inputs include (i) one or more overall ratings associated with the one or more consumer-based reviews, (ii) the one or more respective individual ratings for the identified one or more individual components, and (iii) a quality of feedback value relating to the one or more consumer-based reviews.

17. The computer system of claim 15 , the stored program instructions further comprising

program instructions to receive a review request relating to a commercial product or service the user wishes to purchase;

program instructions to identify: (i) the commercial product or commercial service associated with the review request, and (ii) the one or more individual components of the commercial product or commercial service associated with the review request; and

program instructions to determine one or more similar commercial products or services to the commercial product or service the user wishes to purchase.

18. The computer system of claim 17 , wherein the determining of the one or more similar commercial products or services to the commercial product or service the user wishes to purchase is based, at least in part, on: (i) the one or more individual ratings of the individual components of the commercial product or service the user wishes to purchase, (ii) an overall rating of the commercial product or commercial service the user wishes to purchase, (iii) one or more individual ratings of individual components of the similar commercial products or services, and (iv) an overall rating of the similar commercial products or services.

19. The computer system of claim 18 , wherein the digital recommendation represents a UI and includes: (i) an overall rating associated with a commercial product or service identified in a review request, (ii) individual ratings of the one or more individual components the commercial product or service identified in the review request, (iii) overall ratings associated with similar commercial products or services to the commercial product or service identified in the review request, and (iv) individual ratings of one or more individual components associated with the similar commercial products or services.

20. The computer system of claim 15 , the stored program instructions further comprising:

program instructions to calculate an average rating associated with the commercial product or service based, at least in part, on: (i) an overall rating of the commercial product and/or service, (ii) respective individual ratings of one or more individual components of the commercial product and/or service, and (iii) quality of received feedback associated with the one or more consumer-based reviews;

program instructions to generate a commercial evaluation based, at least in part, on the calculated average rating; and

program instructions to communicate the commercial evaluation to a business entity.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 28, 2020
From: BANIPAL, INDERVIR SINGH; KWATRA, SHIKHAR; SILVERSTEIN, ZACHARY A.; NAGAR, RAGHUVEER PRASAD
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 051958/0224 →
Continuity (1)
Related Publication 20210272177A1 · Sep 2, 2021