Personalized Social Network Reminder System with Trending Gift Recommendations

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Solution Overview

Problem

Current calendar and social networking systems fail to provide personalized gift and social engagement recommendations for small, personal networks, such as family and close friends, and do not effectively store or utilize user demographics, interests, and preferences to offer tailored suggestions for events like birthdays and holidays.

Innovation Solution

A system that integrates event reminders with personalized gift and social engagement recommendations, utilizing user demographics, interests, and preferences to provide automated suggestions through a network that links with purchasing affiliates, allows users to input event details, and uses trending data to offer popular gift ideas based on demographics and past purchases.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If existing calendar and social networking systems are used, then basic event reminders and calendar functions are provided, but personalized gift and social engagement recommendations for small personal networks are not available

Engineering Contradiction:

Improvepersonalization capabilityVSAvoidsystem functionality

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments the social network into small personal networks (family, close friends) distinct from large professional networks, allowing tailored recommendations for each segment based on their specific characteristics and relationships

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system integrates multiple functions including event reminders, gift recommendations, social engagement suggestions, and purchasing assistance into a single unified platform that serves both personal organization and social interaction needs

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Loss of information

If user demographics and preferences are stored and utilized, then personalized recommendations can be provided, but data storage and processing requirements increase

Engineering Contradiction:

Improvepersonal information utilizationVSAvoiddata storage requirements

Core Design Contradiction:

Loss of informationVSQuantity of substance

Solution Approach 1:

The system stores and processes demographic and preference data locally on user devices rather than requiring centralized storage of all user data, reducing server storage requirements while maintaining personalized recommendation capabilities

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system selectively stores and processes only the necessary demographic and preference data required for generating recommendations, rather than storing all possible user information, thus reducing data storage requirements while maintaining functionality

Inventive Principle:

Principle #16Partial or excessive action

3Ease of operation

If automated gift and social engagement recommendations are provided, then user convenience is improved, but system complexity and processing requirements increase

Engineering Contradiction:

Improveuser convenienceVSAvoidrecommendation system complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The system automatically generates gift and social engagement recommendations based on user profiles, event details, and social network data without requiring manual input or user intervention in the recommendation generation process

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system pre-processes user demographic data, preference information, and social network data to create ready-to-use recommendation profiles that can be quickly generated when events occur, reducing real-time processing complexity

Inventive Principle:

Principle #10Preliminary action

4Adaptability or versatility

If multiple purchasing affiliate sites and alternative purchasing sources are integrated, then purchasing options are expanded, but system integration complexity increases

Engineering Contradiction:

Improvepurchasing optionsVSAvoidintegration complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system uses standardized affiliate tracking parameters and universal purchase APIs as intermediaries to connect with multiple purchasing affiliate sites and alternative purchasing sources, simplifying integration by using common communication protocols rather than custom connections to each site

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11763396B2Apparatus and system for providing reminders and recommendations, storing personal information, memory assistance and facilitating related purchases through an interconnected social network

Publication Date: 2023.09.19 NOT SO FORGETFUL LLC

AI summary

Users invite friends and family to participate in an automated memory reminder and personal social network system. The personal social network comprises a smart mobile communications client device and administration panel trending algorithms called Not So Forgetful (NSF). NSF distinguishes by assisting in light and heavy reminders. NSF helps users to remember important dates and get recommendations such as events, gifts and/or social engagements with a reminder system personal to the users and runs on a processor of the smart client device. A cloud-based administration panel server, databases and search engines assist in heavy reminders with an individual diagnosed with a memory deficiency with recorded memories. For light reminders, there is a list for things to do varying from week to week. Algorithms utilize NSF network internal and external data to develop top trending gift, social engagement lists and a depository supporting trending/memory assistance algorithms.