Automated Content Sequences Using Exclusion Rules

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Solution Overview

Problem

Existing systems face challenges in efficiently delivering relevant content to users across various platforms, leading to wastage of computing resources and user annoyance due to irrelevant content, which is exacerbated by the sheer volume of content items and users.

Innovation Solution

An automated system for generating and implementing content sequences, utilizing exclusion rules and lists to target relevant content to users based on their current stage of content exploration, thereby optimizing resource usage and user engagement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If content items are provided to all users through various platforms, then content reach and visibility are improved, but computing resource wastage and user annoyance increase due to irrelevant content

Engineering Contradiction:

Improvecontent reachVSAvoidcomputing resource wastage

Core Design Contradiction:

Quantity of substanceVSLoss of energy

Solution Approach 1:

The system segments the user base into different audiences based on their content exploration stages and characteristics. By dividing users into segments (e.g., those actively exploring content vs. those not), the system can deliver content selectively to relevant segments rather than universally, reducing resource wastage while maintaining content reach effectiveness

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary actions by pre-establishing exclusion rules and lists that identify users who should not receive certain content. These rules are created in advance based on user behavior patterns and content characteristics, allowing the system to filter out irrelevant content deliveries before consuming significant computing resources

Inventive Principle:

Principle #10Preliminary action

2Quantity of substance

If content items are provided to all users, then content visibility is improved, but user experience deteriorates due to irrelevant and annoying content

Engineering Contradiction:

Improvecontent visibilityVSAvoiduser annoyance

Core Design Contradiction:

Quantity of substanceVSObject-affected harmful factors

Solution Approach 1:

The system implements feedback mechanisms by continuously monitoring user interactions with content and updating exclusion rules accordingly. When users demonstrate disinterest or annoyance with certain content types, the system receives this feedback and adjusts its delivery strategy by adding relevant content to exclusion lists, thereby improving user experience while maintaining visibility for relevant content

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system applies local quality by tailoring content delivery to specific user contexts and stages of content exploration. Different users receive different content based on their local characteristics and current engagement state, ensuring that each user experiences relevant content rather than generic content that may be annoying or irrelevant

Inventive Principle:

Principle #3Local quality

3Productivity

If automated systems are implemented to target relevant content, then resource efficiency is improved, but system complexity increases due to exclusion rules and tracking mechanisms

Engineering Contradiction:

Improveresource efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system implements self-service by enabling automated content delivery decisions based on pre-established exclusion rules and user behavior patterns. Once the exclusion rules are configured, the system autonomously determines which users should receive which content without requiring continuous manual intervention, thereby improving resource efficiency while managing complexity through automation

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system introduces intermediary components such as exclusion lists and tracking modules that mediate between the content delivery system and users. These intermediaries handle the complexity of filtering and targeting, allowing the main content delivery system to remain relatively simple while still achieving high resource efficiency through the intermediary filtering layer

Inventive Principle:

Principle #24Intermediary (Mediator)

4Measurement precision

If exclusion rules are used to target relevant content, then content relevance is improved, but processing time increases due to rule evaluation

Engineering Contradiction:

Improvecontent relevanceVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system applies partial action by evaluating only the necessary exclusion rules for each user-content pairing rather than checking all possible rules. The system determines the appropriate level of rule evaluation based on user characteristics and content type, avoiding excessive processing time while maintaining sufficient content relevance through selective rule application

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20230162237A1Content sequences for user content item exploration

Publication Date: 2023.05.25 HUBSPOT INC

AI summary

Techniques are provided for generating a content sequence of campaigns for providing users with content items. A first campaign of the content sequence is generated to include a first content item to display to a first audience of users. A second campaign of the content sequence is generated to include a second content item to display to a second audience of users that viewed the first content item. A third campaign of the content sequence is generated to include a third audience of users that interacted with the second content item. In this way, the content sequence is implemented to serve content items to users.