Data Adoption System for Cross-Site Product Review Aggregation
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Solution Overview
Problem
Networked sites face data deficiencies when displaying information about products listed on peer sites, leading to reduced usability as they often lack reviews and other types of data from foreign listings, hindering user experience and site functionality.
Innovation Solution
Implementing a data adoption system that configures local sites to adopt and display product reviews and data from peer sites across different top-level domains, ensuring that reviews submitted on one site are visible and integrated on corresponding international sites, thus enhancing user experience and site functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a local site only displays information about data items that originated on the local site, then data accuracy and site reliability are maintained, but data availability and usability are reduced
Solution Approach 1:
The patent introduces a data adoption mechanism that acts as an intermediary between peer sites and the local site. This mechanism selectively adopts and integrates data from peer sites while maintaining the local site's data integrity and control. The system mediates data flow by filtering, validating, and integrating external data with local data structures, thus resolving the contradiction between data accuracy and data availability.
Solution Approach 2:
The patent implements a universal data adoption framework that enables the local site to handle multiple data sources (local and peer sites) through a unified system. This multi-functional approach allows the site to display information from various origins without compromising reliability, as the same infrastructure processes both local and adopted data consistently.
2Loss of information
If a local site adopts and displays product reviews from peer sites, then data availability and usability are improved, but device complexity and data management complexity increase
Solution Approach 1:
The patent segments the data management system into distinct modules: data adoption, data validation, data integration, and data display. This segmentation allows complex data from peer sites to be handled through standardized, isolated processes. Each module manages specific aspects of data handling, reducing overall system complexity while enabling comprehensive data adoption.
Solution Approach 2:
The patent employs parameter changes to manage data complexity by transforming data from peer sites into standardized local site formats. The system modifies data parameters (such as formatting, encoding, and structure) during the adoption process, converting complex external data into manageable, consistent internal representations that can be uniformly processed and displayed.
3Productivity
If users can submit product reviews on multiple sites, then user engagement and data contribution are increased, but redundant data entry and time consumption increase
Solution Approach 1:
The patent implements a feedback mechanism that detects when a user has submitted reviews on peer sites and uses this information to prevent redundant submissions on the local site. The system provides feedback to users about their review history across sites, enabling them to understand that their reviews are already being collected and displayed, thus reducing unnecessary time consumption while maintaining engagement.
Solution Approach 2:
The patent creates a universal review collection system that serves multiple functions: it collects reviews from the local site, adopts reviews from peer sites, aggregates them centrally, and displays them uniformly. This multi-functional approach consolidates what would otherwise be separate review collection processes, reducing redundant data entry while maintaining user engagement across all sites.
Data Source
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AI summary
Systems and methods of adopting data across different sites are disclosed. In some example embodiments, a data adoption system configures a first networked site to adopt data from one or more other networked sites, detects new data on the other networked site(s), with the new data being associated with a data item on the other networked site(s), determines that a record of the data item is being stored on the first networked site, and stores the new data from the other networked site(s) on the first networked site in association with the data item based on the detecting of the new data on the other networked site(s) and the determining that a record of the data item is being stored on the first networked site.