Dynamic Consumer Keyword Ranking for Product Reviews
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Solution Overview
Problem
Existing product review systems rely on expert-based specification information, which may not accurately reflect consumer preferences and can be difficult for consumers to interpret, limiting their ability to make informed purchasing decisions.
Innovation Solution
A system that displays and utilizes user-generated keywords, rated by user voting, to provide a dynamic summary of product reviews, allowing consumers to filter and compare products based on qualitative consumer vocabulary, thereby reflecting current consumer opinions and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If expert-based specification information is used, then information completeness is improved, but ease of interpretation by consumers deteriorates
Solution Approach 1:
The patent segments the monolithic expert-based specification information into multiple consumer-contributed keywords, each representing a specific aspect or feature. This segmentation allows consumers to interpret and evaluate individual keywords independently, making the overall information more accessible while maintaining completeness through the aggregation of multiple keyword perspectives.
Solution Approach 2:
The patent introduces consumer-contributed keywords as an intermediary layer between expert specifications and consumer understanding. These keywords act as mediators that translate technical specifications into consumer-friendly language, bridging the gap between complete technical information and ease of interpretation.
2Reliability
If expert-based criteria are used, then information authority is improved, but accuracy of consumer preferences deteriorates
Solution Approach 1:
The patent makes the review system universal by accepting contributions from multiple consumers rather than relying on a single expert source. This multi-functionality allows the system to aggregate diverse consumer perspectives, improving accuracy of consumer preferences while maintaining authority through the collective wisdom of multiple users.
Solution Approach 2:
The patent implements feedback mechanisms where consumer contributions are aggregated, ranked, and displayed as authoritative review information. This feedback loop allows consumer preferences to continuously refine and update the authoritative information, ensuring accuracy reflects current consumer sentiment rather than static expert opinions.
3Stability of the object's composition
If static expert-based reviews are used, then information stability is improved, but adaptability to current consumer opinions deteriorates
Solution Approach 1:
The patent transforms the static expert-based review system into a dynamic one where consumer-contributed keywords are continuously added, updated, and ranked based on current consumer feedback. This dynamic structure allows the review information to adapt to changing consumer opinions while maintaining stability through the aggregation and ranking mechanisms that filter out transient noise.
Data Source
AI summary
A system for presenting keywords obtained from users in a review process. The keywords are displayed along with a use value that reflects the number of times users have voted or selected the keyword as being relevant or effective in a review of a product. The keywords can be used to assist consumers in deciding whether to purchase a product or a service, in determining a brand's reputation, or for other purposes. Keywords can be ranked according to usage criteria such as the frequency of use of the keyword in reviews, the reputation of a user/reviewer who created or used the keyword, etc. Rankings can be dynamically updated when keyword usage changes. Such as when a keyword declines in popularity, when words change in meaning or become obsolete or irrelevant with respect to their original intent, etc. Keywords can be used as filters for product searches.