Travel Record Scoring System for Social Network Credibility
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Solution Overview
Problem
Existing online social networks lack a systematic method to characterize and comparatively score travel records of users, making it difficult for participants to assess the credibility of comments based on travel experiences.
Innovation Solution
A system and method that calculates a point value for each traveler's travel record characteristics, compares these values, and orders travelers based on their scores, using verified and unverified information to generate a total score and categorize users into echelons like Wanderer, Sightseer, or Conquistador, with notifications and incentives for score changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a systematic method for characterizing and scoring travel records is implemented, then credibility assessment capability is improved, but system complexity increases
Solution Approach 1:
The travel record scoring system segments credibility assessment into multiple independent characteristics (travel volume, travel frequency, travel coverage, travel status) that can be calculated and evaluated separately. Each characteristic is scored independently using specific formulas, and the results are aggregated to form an overall credibility score. This segmentation allows the complex credibility assessment to be broken down into manageable, modular components that can be implemented and maintained separately.
Solution Approach 2:
The system transforms qualitative travel experience information into quantitative parameters through defined scoring formulas. Each travel characteristic is converted into a numerical score based on measurable parameters (e.g., number of trips, miles traveled, countries visited, loyalty program status). This parameter transformation enables objective comparison and ranking of travelers while maintaining systematic complexity through mathematical relationships rather than subjective evaluation.
2Measurement precision
If multiple travel characteristics are measured and scored for each traveler, then measurement precision is improved, but data processing complexity increases
Solution Approach 1:
The system divides travel record characterization into four distinct measurable characteristics: travel volume (miles traveled), travel frequency (trips per year), travel coverage (countries/continents visited), and travel status (loyalty program levels). Each characteristic is measured and scored independently using specific formulas, allowing precise measurement of different aspects of travel experience without requiring complex integrated analysis.
Solution Approach 2:
The scoring system is designed to automatically calculate scores for each travel characteristic using predefined formulas and available data. The system self-services by retrieving travel data from various sources (user profiles, travel provider websites, third-party APIs) and automatically computing scores without requiring manual intervention. This automation reduces data processing complexity while maintaining high measurement precision through consistent application of scoring criteria.
Data Source
AI summary
A system, method, and computer readable medium. A method of characterizing and comparatively scoring travel records of a plurality of travelers includes, for each traveler in the plurality of travelers, calculating a point value for each of a plurality of characteristics of a travel record of the traveler. The method also includes comparing the point values for the plurality of travelers and ordering the plurality of travelers according to the comparison. The method further includes, for each traveler in the plurality of travelers, storing a total score value representative of the position of the traveler in the ordered plurality of travelers.