Stopover Recommendation Rule Update via User Feedback
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Solution Overview
Problem
Existing recommendation methods for stopover locations do not incorporate user feedback, leading to a lack of improvement in proposal results when the suggested destinations are deemed inappropriate by the user.
Innovation Solution
A recommendation method that includes a receiving step for user feedback on the appropriateness of recommended stopover locations, a determination step to assess if the feedback meets an improvement condition, and an updating step to adjust the recommendation rules based on the feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a predetermined rule is used for recommendation without user feedback, then the recommendation system is simple and easy to operate, but the recommendation accuracy cannot be improved over time
Solution Approach 1:
The patent implements a feedback mechanism where user responses (likes/dislikes) on recommended stopover locations are collected and used to update the recommendation rules. The processing unit receives feedback information and automatically adjusts the predetermined rules based on user preferences, enabling continuous improvement of recommendation accuracy without requiring complex manual reconfiguration.
Solution Approach 2:
The recommendation system performs self-updating by automatically adjusting its own rules based on collected user feedback. The processing unit autonomously modifies the recommendation algorithms and parameters without external intervention, allowing the system to adapt and improve its performance over time while maintaining operational simplicity for users.
2Reliability
If user feedback is collected and used to update rules, then the recommendation accuracy can be improved, but the system complexity increases
Solution Approach 1:
The system establishes a closed-loop feedback mechanism where user responses are continuously collected and processed to refine recommendation rules. This ensures that the recommendation reliability improves over time as the system learns from actual user behavior and preferences, making the recommendations more trustworthy and accurate.
Solution Approach 2:
The system pre-establishes the feedback collection framework and automatic update mechanisms in advance. By preparing the infrastructure for feedback processing and rule updating beforehand, the system can smoothly incorporate user feedback without requiring complex real-time decision-making or manual intervention during operation.
3Adaptability or versatility
If feedback collection and rule updating are implemented, then the recommendation can adapt to user preferences, but the operation process becomes more complex
Solution Approach 1:
The system automatically handles feedback processing and rule updates without requiring user intervention. Users simply provide their preferences through simple like/dislike inputs, and the system autonomously processes this feedback and adjusts its recommendations, maintaining ease of operation while achieving high adaptability to user preferences.
Solution Approach 2:
The system implements an automatic feedback processing mechanism that translates simple user inputs into rule updates without requiring users to understand or configure complex parameters. This allows the system to become highly adaptable to user preferences while keeping the user interface simple and easy to operate.
Data Source
AI summary
The recommendation method is a recommendation method of recommending a stop location to a user based on a predetermined rule. The recommendation method includes a receiving step of receiving input of feedback information indicating whether or not recommendation of a stop location is appropriate by a user, a determination step of determining whether or not feedback information satisfies an improvement condition related to a predetermined rule, and an updating step of updating a predetermined rule based on the feedback information when it is determined that the feedback information satisfies the improvement condition.