Contact-Based Review Queries for Credible Purchase Recommendations
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Solution Overview
Problem
The presence of fake reviews in online shopping platforms undermines the credibility and effectiveness of product reviews, leading to misleading information and eroded consumer trust, as well as potential purchases that do not meet expectations.
Innovation Solution
An electronic device and method that identifies reviews from known contacts based on user identifiers, generates personalized queries for feedback, and prioritizes these reviews, using communication patterns to enhance credibility and automate the feedback solicitation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If online shopping platforms allow users to read product reviews, then consumers can make informed purchasing decisions, but fake reviews undermine the credibility and effectiveness of product reviews
Solution Approach 1:
The patent introduces an intermediary verification mechanism that connects product reviewers to their real-world identities through contact information. This intermediary layer (contact verification system) mediates between the review content and consumer trust, allowing platforms to distinguish authentic reviews from fake ones by verifying the human identity behind each review through contact information validation.
Solution Approach 2:
The system implements feedback mechanisms where consumers can provide feedback about product quality and usage. This feedback loop allows authentic user experiences to be captured and displayed, while the verification system provides feedback to consumers about review authenticity. The feedback mechanism creates a self-correcting system where genuine user experiences accumulate and fake reviews become increasingly difficult to insert into the review ecosystem.
2Loss of time
If consumers rely on product reviews for purchasing decisions, then they can save time and effort, but fake reviews lead to misleading information and eroded consumer trust
Solution Approach 1:
The system performs preliminary verification of contact information before allowing reviews to be posted. This preliminary action (contact verification) prevents fake reviews from entering the system in the first place, rather than requiring consumers to manually verify review authenticity after reading. The verification happens in advance, ensuring that only authenticated users can submit reviews, thereby maintaining consumer trust while enabling quick decision-making.
3Adaptability or versatility
If online shopping provides access to a wider range of products, then consumers can find better deals and compare prices, but the abundance of reviews includes more fake reviews that mislead consumers
Solution Approach 1:
The patent segments the review system into distinct categories: verified authentic reviews and unverified reviews. By segmenting reviews based on contact information verification status, the system allows consumers to easily distinguish between reliable and potentially fake reviews. This segmentation creates visual or structural separation in the review display, enabling consumers to focus on verified reviews while still having access to the full range of products for comparison.
Data Source
AI summary
A method provides techniques for item query initiation based on contact information. Prepurchase activity for an item, such as a product or service, is detected. A list of one or more reviews for the item is obtained. For each review in the list, a user identifier is obtained. A determination is made, based on the user identifier, if one or more reviews in the list of reviews correspond to a contact in a contact list associated with the electronic device. In response to determining that a user identifier associated with at least one review corresponds to a contact in the contact list, a query pertaining to the item for presentation to the contact is generated. The query is sent to the contact. A reply from the contact may be received and analyzed to generate a purchase recommendation.