Smart Review System for App Store Rating Accuracy

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Solution Overview

Problem

User reviews in application stores often fail to accurately reflect the resolution of performance issues in applications, leading to outdated ratings that do not reflect the current state of the application, which can mislead users and developers.

Innovation Solution

A smart review system that utilizes a semantics analysis engine to identify known performance issues in user reviews, updates ratings based on subsequent reviews after an application update, and incentivizes users with rewards for participating in the review program, ensuring that reviews accurately reflect the current state of the application.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If user reviews are manually updated by users after application updates, then review accuracy improves, but user effort and time consumption increase

Engineering Contradiction:

Improvereview accuracyVSAvoiduser time consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system enables automatic self-updating of reviews by monitoring application updates and automatically modifying review ratings and text when performance issues are resolved, eliminating the need for user intervention while maintaining high review accuracy

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements a feedback mechanism where review updates are triggered by detected application updates, creating an automated loop that continuously maintains review accuracy without requiring ongoing user effort

Inventive Principle:

Principle #23Feedback

2Productivity

If reviews are automatically updated without verification, then system productivity improves, but review reliability deteriorates

Engineering Contradiction:

Improvereview update efficiencyVSAvoidreview reliability

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system performs preliminary analysis by monitoring and detecting application updates before automatically updating reviews, ensuring that updates are triggered only by verified application changes rather than arbitrary conditions

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system introduces an intermediary verification mechanism that analyzes both the application update and subsequent user reviews before confirming performance issue resolution, preventing false positives while maintaining automated update efficiency

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS10331436B2Smart reviews for applications in application stores

Publication Date: 2019.06.25 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

Systems, methods, and computer program products to perform an operation comprising receiving, via an interface, a first review specifying a first rating value, a second rating value, and a textual review for an application in an application store, associating the first review in the application store with the first rating value, invoking a semantics analysis engine to determine that the textual review specifies a first known performance issue for the application, determining, based on an update to the application and reviews for the application received subsequent to the update to the application, that the first known performance issue has been resolved, and associating the first review in the application store with the second rating value.