Accommodation Recommendation System Using AR and MCDM
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Solution Overview
Problem
Current tourism recommendation systems rely heavily on user reviews and lack personalized, real-time customization, failing to provide high-accuracy recommendations tailored to individual preferences and tendencies using advanced AI and automation.
Innovation Solution
A method and system utilizing multi-criteria decision making (MCDM) and augmented reality (AR) to recommend accommodations by selecting suitable options based on user preferences and real-time location, providing AR interfaces for detailed information and ranking, and utilizing voice recognition to identify preferred places within accommodations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional review-based recommendation systems are used, then implementation simplicity is maintained, but recommendation accuracy and personalization are insufficient
Solution Approach 1:
The recommendation system is segmented into multiple independent modules: user preference analysis module, accommodation evaluation module, AR interface module, and voice recognition module. Each module handles specific tasks independently, allowing the system to achieve high recommendation accuracy through multi-criteria decision making while maintaining manageable complexity through modular architecture.
Solution Approach 2:
User preference information is collected and pre-processed before the actual recommendation process. The system performs preliminary user profiling by analyzing user inputs, historical data, and preferences to create a customized recommendation model, which enables high-accuracy personalized recommendations without requiring complex real-time processing during the recommendation phase.
2Loss of information
If detailed information about multiple accommodations is provided, then user information completeness is improved, but user decision time increases
Solution Approach 1:
The system performs preliminary filtering and ranking of accommodations based on user preferences and multi-criteria decision making before presenting options to the user. This pre-processing eliminates irrelevant options and organizes information in advance, allowing users to access complete relevant information quickly without experiencing information overload or extended decision time.
Solution Approach 2:
The AR interface provides real-time feedback to users as they interact with accommodation information. The system monitors user interactions, voice commands, and viewing patterns, dynamically adjusting the presentation of information to prioritize most relevant details, thereby maintaining information completeness while reducing the time users need to spend making decisions.
3Adaptability or versatility
If standardized recommendation interfaces are used, then ease of operation is maintained, but adaptability to user preferences decreases
Solution Approach 1:
The AR interface is designed as a dynamic, adaptive system that automatically adjusts its presentation based on user preferences, behavior patterns, and interaction history. The interface structure remains standardized and easy to operate, while the content and prioritization of information dynamically adapt to individual users, achieving high personalization without increasing operational complexity.
Solution Approach 2:
The system employs voice recognition technology to enable users to interact with the recommendation interface through natural language commands. This self-service approach allows users to customize their information retrieval and accommodation selection process according to their preferences without needing to learn complex interface operations, thereby maintaining ease of operation while enhancing adaptability.
Data Source
AI summary
Disclosed are a method and a system of recommending an accommodation for tourists using multi-criteria decision making (MCDM) and augmented reality. A method of recommending an accommodation for tourists using multi-criteria decision making and augmented reality, which is performed by a server device includes: selecting a recommendation target accommodation based on a current location of a user; selecting a plurality of recommended accommodations by MCDM based on user information including pre-registered preference information among the recommendation target accommodations; and providing an augmented reality interface displaying information on a recommended accommodation to a user terminal.