Knowledge Manager for Contradictory Review Display
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Consumers face challenges in making informed purchasing decisions online due to the lack of personal evaluation of items, leading to negative biased reviews influencing their choices without considering contradictory opinions.
Innovation Solution
A knowledge manager system identifies and displays contradictory reviews to provide a more balanced understanding by analyzing user importance factors and personality profiles, showcasing positive reviews that contradict negative ones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If consumers rely on online reviews to make purchasing decisions, then they can access information about item quality and features, but they may be influenced by negatively biased reviews and make inaccurate decisions
Solution Approach 1:
The patent segments reviews by identifying and separating opinion phrases with specific sentiments (positive, negative, neutral) and aspects (e.g., quality, price, features). This segmentation allows the system to present contradictory opinions side-by-side, enabling consumers to see both positive and negative perspectives on specific aspects, thereby improving decision accuracy while maintaining information completeness.
Solution Approach 2:
The patent changes the parameter of information presentation from a simple aggregate rating to a structured breakdown of opinion phrases with sentiments and aspects. By transforming the review data into sentiment-aspect pairs, the system enables consumers to evaluate contradictory opinions on specific parameters, reducing the influence of negatively biased overall ratings and improving purchasing decision accuracy.
2Measurement precision
If consumers read multiple reviews to gain a balanced understanding, then they can reduce the impact of negative bias, but they spend excessive time researching
Solution Approach 1:
The patent performs preliminary action by automatically analyzing, segmenting, and organizing multiple reviews into sentiment-aspect pairs before the consumer arrives. The system pre-identifies contradictory opinions and presents them in a structured format, eliminating the need for consumers to manually read and compare multiple reviews. This preliminary processing reduces research time while maintaining high decision accuracy.
Solution Approach 2:
The patent introduces an intermediary system (the review analysis platform) that mediates between the raw review data and the consumer. This intermediary automatically processes multiple reviews, identifies contradictory opinions, and presents them in a simplified format, saving consumers the time required to manually research while providing accurate balanced information.
3Loss of information
If online review systems display all reviews equally, then consumers can access comprehensive information, but negative biased reviews dominate consumer perception
Solution Approach 1:
The patent applies local quality by treating different aspects of reviews differently. Instead of displaying all reviews equally, the system identifies specific aspects (e.g., quality, price, service) and presents contradictory opinions on each aspect separately. This allows positive and negative reviews to be contextualized locally within each aspect, reducing the disproportionate influence of negative bias while maintaining comprehensive information accessibility.
Solution Approach 2:
The patent inverts the traditional review display approach by not presenting reviews in chronological or rating order, but rather by presenting contradictory opinions side-by-side for each aspect. This inversion allows consumers to see both positive and negative perspectives equally, counteracting the natural tendency for negative reviews to dominate perception while maintaining full information accessibility.
Data Source
AI summary
An approach is provided in which a knowledge manager identifies first opinion phrases included in a first review that the knowledge manager displays on a display. The knowledge manager locates contradictory reviews that include second opinion phrases that contradict the first opinion phrases and, in turn, displays the contradictory reviews on the display.