Virtual Social Network Creation via Web-Extracted Feature Clustering
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Solution Overview
Problem
Existing electronic communication systems limit the creation of virtual social networks to only users who are already known to each other, preventing connections with individuals not yet known.
Innovation Solution
A method and system for creating virtual social networks based on web-extracted features, involving a crawler module to access content items like images, videos, and metadata, and a clustering module to group users with common attributes, enabling connections between users with shared interests or experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users import or reuse contact lists or email address books for creating virtual social networks, then users can create networks with persons they already know, but users cannot create networks with persons they do not yet know
Solution Approach 1:
The patent introduces web-extracted features as an intermediary mechanism between users and potential connections. Instead of requiring direct mutual recognition through contact lists, the system uses extracted features (such as interests, locations, activities) from web content as a mediator to identify and connect users who share common attributes, thereby enabling connections beyond existing contacts while maintaining ease of use
Solution Approach 2:
The patent changes the parameter basis for connection formation from traditional contact list relationships to web-extracted feature attributes. By extracting features from web content and using these features as connection criteria, the system transforms the connection formation process to enable discoveries of new connections based on shared interests and attributes rather than pre-existing contacts
Data Source
AI summary
Device, system, and method of creating virtual social networks based on web-extracted features. For example, a method for creating virtual social networks based on web-extracted data includes: accessing through a global communication network a first content item and a second content item, wherein each one of the first and second content items is selected from the group consisting of: an image, a video, text, and metadata; extracting data corresponding to a first feature from the first content item; extracting data corresponding to a second feature from the second content item; and based on a common attribute of the first and second features, clustering into a cluster a first identifier of a first user associated with the first content item and a second identifier of a second user associated with the second content item.