Map-Based POI Review Classification System
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Solution Overview
Problem
There is a growing demand for a system that provides reliable and advertisement-free user reviews for points-of-interest (POIs) on a map, allowing users to easily access and search for reviews based on location, with a high level of consumer reliability due to user-generated content.
Innovation Solution
A user review system that acquires location information from a user terminal, classifies and provides review posts by POIs, using a map database to store and link identification information of review posts with corresponding POIs, ranking POIs by the number of reviews and users, and displaying them in a user-friendly format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If user reviews are collected from multiple sources and displayed without classification, then the quantity of review information increases, but the ease of operation and search efficiency deteriorate
Solution Approach 1:
The patent segments review information by geographic location (map-based POI grouping) and by review type/characteristics. Reviews are divided into categories such as those containing images, videos, or text only, and are organized by location on a map interface. This segmentation allows users to access reviews systematically rather than facing an undifferentiated mass of information.
Solution Approach 2:
The patent adds spatial dimension to review organization by displaying POIs and their associated reviews on a map interface. This geographic dimension allows users to search and access reviews based on location, transforming the traditional linear or categorical search into a spatial navigation experience that improves ease of operation.
2Measurement precision
If review information is organized by detailed classification criteria, then the measurement precision and relevance of search results improve, but the device complexity and difficulty of operation increase
Solution Approach 1:
The patent segments reviews into distinct types (image-containing, video-containing, text-only) and organizes them by POI location. This segmentation enables precise matching of user needs with relevant review types while keeping the classification system manageable through clear, discrete categories rather than complex multi-dimensional classification.
Solution Approach 2:
The system automatically classifies and organizes reviews by type and location without requiring manual intervention. The classification is performed autonomously based on the content characteristics of each review, reducing the operational complexity for users while maintaining high precision in matching reviews to user queries.
3Reliability
If the system stores and processes detailed information about multiple POIs and their reviews, then the reliability and completeness of review information improve, but the loss of time for data processing and retrieval increases
Solution Approach 1:
The patent performs preliminary organization of review information by automatically classifying reviews into types and associating them with POI locations in advance. This preliminary action ensures that when users search for reviews, the system can quickly retrieve pre-organized information rather than processing raw data in real-time, thus maintaining reliability while reducing retrieval time.
Solution Approach 2:
The patent replaces manual or complex mechanical search processes with automated electronic classification and retrieval systems. The system automatically tags, categorizes, and indexes reviews based on their content characteristics, enabling rapid electronic retrieval without the time-consuming manual sorting and searching that would be required for equally detailed information organization.
Data Source
AI summary
A method, performed by a user review providing system, of providing user reviews includes acquiring, from a first user terminal, location information specifying an area on a map, and providing review posts to the first user terminal by classifying the review posts according to points-of-interest (POIs), the review posts being written by a plurality of users to include information about a POI included in an area specified by the location information and posted on a personal webpage of a writer.