Real-Time Geotagged Feedback Search System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current search methods for local experiences, such as dining or sightseeing, are cumbersome and often provide outdated or irrelevant results, making it difficult for users to find real-time and valuable recommendations.
Innovation Solution
A computer-implemented method that collects and organizes feedback tagged with geographical locations and timestamps, allowing users to query and display relevant, real-time feedback within a defined geographical area and time frame.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional search engines or apps are used to search for local experiences, then users can access archived data and reviews, but the results are outdated and incomplete
Solution Approach 1:
The system transitions from static archived reviews to dynamic real-time feedback by continuously collecting and displaying user experiences as they occur. Feedback is timestamped and geotagged, allowing the system to dynamically update based on current user activities rather than relying on historical data.
Solution Approach 2:
The system implements a feedback loop where user experiences are immediately captured, stored with temporal and spatial metadata, and made available for others to discover. This creates a continuous cycle of information flow that keeps the data fresh and relevant, directly addressing the outdated information problem.
2Productivity
If social media platforms are used to share experiences, then real-time feedback is generated, but the information is not structured for efficient discovery
Solution Approach 1:
The system segments feedback information by geographical location and time, organizing unstructured social media-style posts into structured data with specific metadata fields. This segmentation enables efficient filtering and retrieval while maintaining the real-time sharing capability.
Solution Approach 2:
The system acts as an intermediary between social media platforms and users seeking recommendations. It collects feedback from various sources, structures it with appropriate metadata, and presents it in an organized manner, bridging the gap between unstructured sharing and structured discovery.
3Reliability
If restaurant menus or reviews are displayed to users, then dining options are provided, but the information does not reflect current offerings
Solution Approach 1:
The system employs user-generated content where diners themselves provide the feedback about current offerings. This self-service approach ensures information accuracy without requiring complex verification systems, as the information comes directly from people experiencing the establishments in real-time.
Solution Approach 2:
The system changes the temporal parameter of the information from static (archived reviews) to dynamic (real-time feedback). By continuously updating the feedback timestamp and allowing for current user experiences to be recorded, the information automatically reflects the current state of dining offerings.
Data Source
AI summary
A computer system and computer-implemented method is provided for management of user feedback. Each user feedback includes location and temporal information of the feedback. A user can search via a user interface on a computing device from a collection of feedbacks in a search area defined by the user. As a result, one or more feedbacks responsive to the user query are searched and retrieved, and are presented on the user interface.