Automated Social Interaction System for Network Connection Discovery

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Solution Overview

Problem

In social networking environments, users face challenges in finding and nurturing new social connections due to the overwhelming amount of relationship and interaction data, making it burdensome to discover and engage with like-minded individuals.

Innovation Solution

A system and method that utilizes a host server to identify commonalities between users based on profile information, messages, and actions, prompting users to initiate interactions with others who share similar interests or experiences, thereby facilitating automated social interactions and new connections.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If users manually explore and nurture social connections in a growing network, then they can build meaningful relationships, but the burden and time required increases significantly

Engineering Contradiction:

Improvesocial connection building efficiencyVSAvoidtime spent on social exploration

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs automated social exploration and connection identification without requiring manual user effort. The server automatically analyzes user profiles, interests, and network data to identify potential connections, allowing users to benefit from relationship building without the time investment

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent introduces an intermediary system (server with analysis module) that mediates between users and potential social connections. This intermediary automatically processes the complex task of matching users based on shared interests and network analysis, resolving the contradiction by handling the time-consuming work automatically

Inventive Principle:

Principle #24Intermediary (Mediator)

2Quantity of substance

If the social network grows to include more users, then the user base and diversity increase, but finding relevant connections becomes more difficult

Engineering Contradiction:

Improveuser base sizeVSAvoiddifficulty of finding relevant connections

Core Design Contradiction:

Quantity of substanceVSDifficulty of detecting and measuring

Solution Approach 1:

The patent replaces manual mechanical searching and filtering with an automated computational system. The server uses algorithms to analyze user profiles, interests, and network structures, automatically identifying relevant connections without requiring users to manually search through the growing user base

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system implements feedback mechanisms where user interactions and profile data continuously inform the connection recommendations. The analysis module learns from user behavior and network dynamics to improve connection identification accuracy as the network grows, making the system adapt to increasing complexity

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS9213725B2Systems and methods for generating automated social interactions in social networking environments

Publication Date: 2015.12.15 IFWE

AI summary

Systems and methods of generating automated social interactions for users in a social networking environment are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of receiving data items associated with users of a social network, identifying sets of data items associated with a user, and comparing a first set of data items to other sets of data items to identify commonalities between the first set of data items and the other sets of data items. The method further comprising automatically selecting a second user associated with a second set of data items and a first electronic social interaction for the first user to pursue with respect to the second user based on the identified commonalities between the first set of data items and the second set of data items.