Thumbnail-Based Duplicate Property Listing Detection
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Solution Overview
Problem
Duplicate property listings across different platforms and entities complicate accurate valuation, data storage, and search efficiency, and can lead to fraudulent activities due to misrepresentation of property information.
Innovation Solution
A system utilizing thumbprint values generated by algorithms to identify and consolidate duplicate property listings by comparing image and attribute data, reducing storage space and improving search accuracy, while detecting fraudulent listings by vetting new entries against existing data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If property listings are posted on multiple property listing resources, then visibility and accessibility of property listings are improved, but data redundancy and storage requirements increase
Solution Approach 1:
The patent uses image copying techniques where a thumbnail image is generated from a full-resolution property listing image. This thumbnail serves as a compact representation that can be stored and displayed across multiple property listing resources without requiring storage of the complete high-resolution image at each location, thereby reducing data redundancy while maintaining visibility.
2Quantity of substance
If duplicate property listings are not identified, then data storage space is consumed, but search accuracy and efficiency deteriorate
Solution Approach 1:
The system generates and stores thumbnail copies of property listing images that can be quickly compared against existing thumbnails in the database. This copying approach enables efficient duplicate detection through image comparison algorithms while consuming minimal storage space, as thumbnails are far smaller than full-resolution images yet sufficient for identification purposes.
3Loss of information
If comprehensive property listing data is stored across multiple platforms, then data completeness is improved, but fraud detection difficulty increases
Solution Approach 1:
The patent creates standardized thumbnail copies of property images that serve as a common reference point across different property listing platforms. By comparing these standardized thumbnails, the system can efficiently detect fraudulent listings that use stolen or misrepresented images, even when the fraudulent listings appear on multiple different platforms with varying data formats and complete information.
Data Source
AI summary
A datastore that includes property listings (e.g., for rental properties) may be accessed by a computing resource configured to execute a thumb printing algorithm to generate summary data values (e.g., thumbprint values, hash values) of digital data included one or more images of a property listing. The summary data values along with listing attributes (e.g., address, zip code, geolocation, brand, number of bedrooms/bathrooms/sleeps, amenities) of the property listing may be compared with summary data values and listing attributes of other property listings to determine if the summary data values of one or more images match and if one or more listing attributes match. A threshold number of image matches and listing attribute matches may indicate that the property listings are duplicate property listings, which may be merged, removed or replaced with links/pointers by the computer resource to increase data storage space and/or reduce data search latency times of the datastore.