Social Media Profile Integration for Credible Contact Updates
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Solution Overview
Problem
Conventional methods of storing contact information are limited in providing comprehensive data and require manual updating and maintenance, leading to outdated and incompatible software installations, which can be addressed by utilizing a shared database system for crowd-sourced contact information and integrating social network data to enrich user contact lists.
Innovation Solution
A multi-tenant database system allows users to access and unify contact information from a shared database and social networks, enabling automatic credibility assessment and selective integration of updated data into their own contact lists.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If contact information is stored using conventional manual methods, then user control and data security are maintained, but the contact data becomes outdated and incomplete over time
Solution Approach 1:
The system enables automatic self-updating of contact information by integrating with social network APIs. Contact data is automatically retrieved and updated without requiring manual intervention from users, while still maintaining user control through permission-based access and selective data import options.
2Adaptability or versatility
If software is installed on organization's computer systems, then local control and customization are achieved, but installation and maintenance require significant time and resources
Solution Approach 1:
The patent introduces a cloud-based intermediary service that acts as a mediator between social network data sources and user applications. This intermediary handles data collection, processing, and distribution centrally, eliminating the need for installing and maintaining software on each individual computer system while still providing customized contact management capabilities.
3Stability of the object's composition
If contact information is manually updated across multiple systems, then data consistency is maintained, but the process becomes complex and error-prone
Solution Approach 1:
The system merges multiple contact information sources (social networks, existing contact lists, user profiles) into a single unified contact database. This consolidation eliminates the need to manually update multiple separate systems, ensuring data consistency across all platforms while simplifying the update process to a single automated operation.
Data Source
AI summary
Disclosed are systems, apparatus, methods and computer-readable media for updating information stored in a database system over a network. In some implementations, first contact data is retrieved from a first virtual portion of a database system, where the first contact data provides first contact information associated with at least one entity. In some instances, the first contact data is compared with second contact data, where the second contact data provides second contact information associated with the at least one entity. In some instances, at least some of the second contact information is retrieved from a social networking system. In various implementations, at least one difference between the first contact data and the second contact data is identified, where the at least one difference is capable of being presented in a user interface displayed at a computer system. In some instances, a selection identifying contact data to store is received.