Uridoki Introduces AI Review Moderator
Uridoki Inc., based in Shinjuku, Tokyo, has initiated the full operation of its innovative AI system, the "Uridoki AI Review Moderator." This system is designed to automatically analyze and evaluate reviews submitted by users and affiliated stores on its C2B platform, ensuring a safer and more reliable shopping experience.
Overview of the AI Review Moderator System
The newly implemented AI Review Moderator automatically scrutinizes submitted reviews to determine if they contain inappropriate content. This includes abusive language, defamatory statements, explicit criticism, mockery, and any expressions that promote crime, violate laws, or disrupt public order. Additionally, the system flags content that could evoke sexual disgust or relates to obscene material and child pornography.
Once the AI analyzes the reviews, the results are shared with the development and operations teams. In cases where posts pose a high risk, Uridoki will coordinate with relevant authorities and consider removing posts where necessary. Moreover, insights obtained from negative feedback may be used to improve service quality for member stores, enhancing the overall user experience.
The introduction of the AI Review Moderator marks a significant expansion of Uridoki's use of intelligent technology, following the earlier unveil of the "Uridoki AI Image Recognition" system for image analysis in assessing items for resale.
Background of AI Review Moderator Implementation
As the reuse market continues to grow and the volume of requests for appraisals increases, user-submitted reviews have also surged in number. Previously, human operators were responsible for manually reviewing each submission. However, given the escalating volume of reviews, efficient management became a pressing challenge. Additionally, the diversity of review content demanded a quick and comprehensive verification system.
In response to this hurdle, Uridoki has adopted the AI Review Moderator to ensure high accuracy in review assessments. This advancement allows users to view reviews with an enhanced degree of reliability, augmenting the already robust information available on the platform.
Processing Flow and Key Functions
Step 1: Obtaining Review Information
- - Reviews are batch-processed and registered for AI analysis.
Step 2: AI Text Analysis
- - The AI model evaluates the emotional tone and identifies inappropriate expressions.
Step 3: Result Notification
- - Reviews deemed negative or inappropriate are flagged and reported to the development and operations teams.
Step 4: Utilizing Assessment Data
- - Information about flagged reviews is shared with buying stores to bolster service improvement initiatives.
Future Developments: Continuous Learning and Risk Assessment
Currently, the system operates based on a pre-trained AI model focusing on analyzing the emotional trends and identifying inappropriate expressions in reviews. While designed to minimize errors, there remain challenges in accurately assessing emotional tones from both the user and buyer perspectives. To address this, human oversight will continue in specific cases, and Uridoki plans to enhance its AI model with collected training data for even better performance in the future.
- - Relearning Process: Results from assessments will be integrated back into the AI, enabling continuous enhancement of accuracy.
- - Review Risk Scoring: Analysis of submission patterns will help Uridoki provide better support for stores and users alike, improving service quality.
Uridoki is committed to reinforcing its review management framework utilizing AI, fostering a healthy and trustworthy platform. By delivering high-accuracy and reliable review information, Uridoki aims to contribute further to the vitality of the entire reuse market.
About Uridoki
Uridoki serves as a connecting platform for individuals looking to sell items and stores that buy them. It operates primarily through two main services: the matching service "Uridoki!" and the reuse-focused web media "Uridoki Plus." Users can submit pictures and descriptions of items and receive estimates from multiple appraisers in a single request. This innovative approach eliminates the need to contact several stores individually for price comparisons. With a messaging feature, users can communicate directly with appraisers to find the best fit according to their selling goals.
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