Activity-Based POI Database Using Social Network Data
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Solution Overview
Problem
Existing point of interest (POI) databases are limited in their ability to search for activities at locations, as they rely on descriptive names that do not account for diverse activities that can be performed at a single location, leading to a focus on well-defined categories rather than the activities themselves.
Innovation Solution
The development of an activity-based POI database that generates relational databases by associating locations with activities, allowing users to search for POIs using activity keywords, even if the location name is non-descriptive of the activity, and incorporating social network user input to create a comprehensive and dynamic database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If POI databases are organized by descriptive names and types of places, then the database structure is simple and easy to query, but the ability to search for activities at locations is limited and inaccurate
Solution Approach 1:
The patent segments the POI database into multiple independent components: place information (name, type, location) and activity information (list of activities, user reviews, photos) are separated into distinct data structures. This allows the database to maintain simple place-based organization while incorporating comprehensive activity data, resolving the contradiction between search accuracy and structural simplicity.
Solution Approach 2:
The patent adds a new dimension to the traditional POI database by incorporating user-generated activity data and social network information alongside traditional place information. This multi-dimensional approach enables activity-based searching without abandoning the original place-based structure, allowing users to search both by place name and by activity type simultaneously.
2Adaptability or versatility
If POI databases focus on well-defined categories based on place names, then the database is easy to maintain, but it cannot account for diverse activities that can be performed at a single location
Solution Approach 1:
The patent implements a dynamic database structure where activity information is not fixed but continuously updated through user contributions. Users can add new activities, reviews, and photos to existing places, allowing the database to adapt to diverse activities without requiring manual reclassification of places. This dynamic approach maintains ease of maintenance through automated user-generated content while significantly increasing adaptability to diverse activities.
Solution Approach 2:
The patent creates a universal database structure that can accommodate any type of place and any type of activity within a unified framework. Rather than creating separate databases for different place types or activities, the system uses a single flexible structure that handles restaurants, parks, events, and other activities through common data fields, making the database both versatile and easy to maintain.
3Reliability
If social network user input is incorporated to create comprehensive activity data, then the database becomes more accurate and trustworthy, but the complexity of data collection and verification increases
Solution Approach 1:
The patent implements a self-service system where users automatically contribute and verify activity information through their social network profiles and interactions. Users authenticate themselves through existing social network accounts, and their contributions are automatically associated with their profiles, providing inherent verification without requiring complex manual review processes. The system leverages the users' own social networks to validate information authenticity.
Solution Approach 2:
The patent incorporates feedback mechanisms where user reviews, ratings, and interactions provide continuous validation of activity information. The system tracks user engagement metrics, review quality, and social network connections to automatically assess and weight the reliability of contributed information, creating a self-regulating verification system that improves reliability without linearly increasing complexity.
Data Source
AI summary
A computer implemented method includes providing a social network database including social network data generated by social network users. The social network data is analyzed to identify participles and the identified participles are used to provide the social network users search results.