Content Recommendation Interface for Hierarchical Document Discovery

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Solution Overview

Problem

Modern collaboration platforms face challenges in efficiently organizing and recommending relevant electronic documents, as traditional search methods often yield unrelated content, and hierarchical structures may not adequately connect user-generated content.

Innovation Solution

A system with a graphical user interface that utilizes a hierarchical element tree and a recommendation engine to display candidate cards with a relatedness score, based on proximity and navigation history, ensuring permissions-based access to recommended content.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If traditional search methods are used to find electronic documents, then users can access a large volume of content, but the content presented is often unrelated to the user's actual topic of interest

Engineering Contradiction:

Improvevolume of content accessibleVSAvoidrelevance of content to user topic

Core Design Contradiction:

Quantity of substanceVSLoss of information

Solution Approach 1:

The system uses navigation history as feedback to dynamically adjust content recommendations. By tracking the sequence of pages users navigate through and calculating relatedness scores based on this feedback, the system continuously improves content relevance without requiring users to perform additional search actions

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system automatically generates content recommendations by leveraging the hierarchical structure of electronic documents and user navigation patterns. The recommendation engine self-adjusts based on proximity calculations in the hierarchical tree, eliminating the need for manual content curation or user intervention

Inventive Principle:

Principle #25Self-service

2Stability of the object's composition

If electronic documents are organized in hierarchical structures, then content can be systematically arranged, but it becomes difficult to discover relevant content across different hierarchical branches

Engineering Contradiction:

Improvesystematic arrangement of contentVSAvoidcontent discoverability

Core Design Contradiction:

Stability of the object's compositionVSEase of operation

Solution Approach 1:

The system introduces candidate cards as intermediary elements between the hierarchical structure and the user. These cards act as mediators that connect unrelated hierarchical branches by suggesting content from different parts of the tree based on navigation patterns, while maintaining the integrity of the original hierarchical organization

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system adds a new dimension to content discovery by introducing relatedness scoring based on navigation history. This creates a second organizational dimension alongside the hierarchical structure, allowing users to discover content through navigational proximity rather than being constrained to hierarchical relationships

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

3Ease of operation

If content recommendations are generated based on navigation history, then relevant content can be suggested, but the system complexity increases due to tracking and scoring mechanisms

Engineering Contradiction:

Improvecontent recommendation accuracyVSAvoidtracking and scoring system complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The system creates a virtual copy of the hierarchical structure in the form of a navigation history model. By tracking page sequences in this simplified copy rather than analyzing the entire document hierarchy, the system reduces computational complexity while maintaining recommendation accuracy

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The system simplifies complexity by changing the parameter from analyzing entire document structures to calculating simple proximity scores based on page sequences. The relatedness score parameter transforms complex hierarchical relationships into manageable numerical values that can be computed efficiently

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12566536B2Electronic document management system with a content recommendation interface

Publication Date: 2026.03.03 ATLASSIAN PTY LTD

AI summary

A computer-implemented method is disclosed. The method includes causing display, in a graphical user interface on a client device, of a page with a navigational panel including a selectable tree element having a hierarchical relationship to a current electronic page having its user-generated content being displayed in a content panel. The method includes identifying a set of candidate cards in which each card is associated with a respective electronic page and has a respective relatedness score. The method includes identifying a user profile in accordance with an authentication of an user operating the client device, and selecting, from the set of candidate cards, a subset of candidate cards satisfying permissions criteria based on permissions identified in the user profile. The method includes causing display of the subset of candidate cards within the content panel in accordance with the respective relatedness score for each card in the subset of candidate cards.