Goal-Adaptive Content Sharing Interface for Publisher Objectives

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Solution Overview

Problem

Content sharing sites fail to provide tailored recommendations, tools, and features that align with the diverse goals of publishers, leading to ineffective content management and monetization strategies.

Innovation Solution

A system that queries publishers for their specific goals and uses AI-driven components to customize site features, suggestions, and dashboards, learning from user interactions to optimize content sharing strategies based on goal achievement metrics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If content sharing sites provide a common set of displays, features, and tools for all publishers, then the site is easy to operate and maintain, but it fails to address the diverse goals of different publishers (monetization, traffic driving, fame building)

Engineering Contradiction:

Improvecustomization to publisher goalsVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system dynamically adapts the content sharing interface and features based on detected publisher goals. Different publishers receive customized displays, tools, and recommendations according to their specific objectives (monetization, traffic driving, or fame building), transforming the static common interface into a dynamic goal-specific interface

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The publisher base is segmented into distinct goal categories (monetization, traffic driving, fame building), and each segment receives tailored features and displays. This segmentation allows the system to provide customized experiences without overwhelming complexity by treating each goal group as a separate category with specific optimizations

Inventive Principle:

Principle #1Segmentation

2Productivity

If the site provides generic recommendations and tools, then the system is simple to manage, but publishers cannot achieve their specific goals effectively

Engineering Contradiction:

Improvegoal achievement effectivenessVSAvoidpublisher goal information

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The system implements feedback loops where publisher interactions with content are monitored and analyzed to detect goals. This feedback information is then used to refine and personalize recommendations, creating a continuous improvement cycle that enhances goal achievement effectiveness while managing information loss through systematic data collection and analysis

Inventive Principle:

Principle #23Feedback

3Adaptability or versatility

If the site collects and analyzes publisher interaction data to learn behaviors, then customized suggestions can be provided, but publisher privacy concerns may arise

Engineering Contradiction:

Improvepersonalized recommendationsVSAvoidprivacy concerns

Core Design Contradiction:

Adaptability or versatilityVSObject-affected harmful factors

Solution Approach 1:

The system applies different levels of data collection and analysis to different publishers based on their preferences and requirements. Rather than uniformly collecting all possible data, the system tailors the extent of data gathering to each publisher's needs, providing personalized recommendations while respecting individual privacy boundaries

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS10409459B2Querying publisher goal and customizing suggestions to achieve goal

Publication Date: 2019.09.10 GOOGLE LLC

AI summary

This disclosure generally relates to systems and methods that facilitate querying a content publisher for their goal(s) in employing a content sharing site and providing customized suggestions, such as recommendations, site tools, site dashboards, and site displays to assist in achieving the goal(s). Additionally, the specified goals are employed in conjunction with monitoring publisher interactions with the content sharing site to learn behaviors that that predict a publisher goal.