Informed Join Recommendation System for Information Sources

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Solution Overview

Problem

Users face challenges in making informed decisions about joining information sources due to the lack of clear metrics on activity levels and quality, leading to potential information overload from excessive notifications.

Innovation Solution

An informed join recommendation system that analyzes the activity dissemination of information sources over a predetermined period to provide users with an activity grade, enabling them to make informed decisions before joining, by presenting metrics such as activity level, quality of posts, and typical notification times.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If users join multiple information sources to access more information, then information availability increases, but information overload occurs due to excessive notifications

Engineering Contradiction:

Improveinformation availabilityVSAvoidinformation overload

Core Design Contradiction:

Quantity of substanceVSObject-affected harmful factors

Solution Approach 1:

The system performs preliminary analysis of information source activity levels before the user commits to joining. By calculating activity grades and presenting them in advance, users can make informed decisions about which information sources to join, preventing future information overload while maintaining access to valuable information.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system provides feedback to users about the activity characteristics of information sources (activity grade, average posts per day, typical notification times) before joining. This feedback loop enables users to adjust their information consumption choices based on objective metrics, balancing information availability with notification management.

Inventive Principle:

Principle #23Feedback

2Ease of operation

If users lack metrics on activity levels when joining information sources, then joining decisions are simple, but users cannot make informed decisions about notification frequency

Engineering Contradiction:

Improvejoining decision simplicityVSAvoidactivity level awareness

Core Design Contradiction:

Ease of operationVSLoss of information

Solution Approach 1:

The system transforms complex activity data (post frequency, engagement metrics, timing patterns) into a simplified activity grade parameter. This parameter change maintains ease of operation by presenting a single grade indicator while preserving critical activity level information that enables informed decision-making.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The activity grade serves as an intermediary between raw activity metrics and user decision-making. Instead of overwhelming users with multiple raw metrics, the system uses the activity grade as a mediator that encapsulates essential information about notification frequency and source activity in an easily interpretable format.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11275784B2Informed join recommendation

Publication Date: 2022.03.15 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

Implementations described herein disclose an informed join recommendation system that allows users to make informed decision about joining various information sources such as a feed, an application, a group, a blog, a news source, etc., based on an activity grade of the information sources. The informed join recommendation system analyzes information dissemination activity of information sources over a predetermined time period to determine an activity grade of the information source, and in response to the request from a user to join the information source, provides the user the activity grade of the information source.