Hierarchical Content Tagging via Multi-Node Assignment
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Solution Overview
Problem
Characterization of content objects is challenging due to varying user terms for the same content, making it difficult to predict and recommend relevant content effectively.
Innovation Solution
A method and system for generating content-categorization hierarchies and assigning content objects to nodes, where each object is assigned to a set of nodes in the hierarchy, with metadata tags generated from these assignments to facilitate categorization, recommendation, and search functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If content objects are assigned to multiple nodes in a hierarchy, then content categorization and recommendation accuracy is improved, but system complexity increases
Solution Approach 1:
The content categorization system is segmented into multiple hierarchical levels (e.g., genre, subgenre, theme) with nodes at different levels. Content objects are assigned to multiple nodes across different levels, allowing precise categorization through hierarchical segmentation rather than a single flat category structure.
Solution Approach 2:
The system transitions from a single-dimensional categorization approach to a multi-dimensional hierarchical structure. By adding the dimension of hierarchy levels and direct paths, the system can represent content relationships in multiple dimensions simultaneously, improving categorization accuracy without overwhelming complexity.
2Productivity
If metadata tags are generated from multiple node assignments, then content search and recommendation effectiveness is improved, but processing time increases
Solution Approach 1:
Metadata tags are generated in advance during the content assignment process rather than during search or recommendation operations. The system pre-computes and stores the metadata tags associated with each content object's node assignments, so that when users search or recommendations are needed, the metadata is already ready for immediate use.
Solution Approach 2:
The system creates a copy of the hierarchy structure and node assignments in the form of metadata tags that can be efficiently queried. This metadata copy allows fast search operations without traversing the entire hierarchy each time, enabling rapid content discovery while maintaining the complexity of the full hierarchy for accurate categorization.
3Adaptability or versatility
If a hierarchical node assignment system is implemented, then content characterization capability is improved, but ease of operation decreases
Solution Approach 1:
The metadata tags serve as an intermediary layer between the complex hierarchical node assignment system and the user interface. Users interact with simplified search queries and recommendations rather than directly with the hierarchy structure. The system automatically translates user queries into appropriate node searches and returns relevant content without exposing the underlying hierarchical complexity.
Data Source
AI summary
Methods and systems generate content-categorization hierarchies and assign each content object to a set of nodes in the hierarchies. Each hierarchy includes a series of levels, each level including nodes which represent a categorization. A node in a top level is connected with multiple nodes in a lower level via a direct path. Each content object is assigned to a set of nodes, such that assignment to a lower-level node also results in assignment to each higher-level node in the lower-level node's direct path to a top of the hierarchy. Metadata of the content object is then modified to include a set of tags, each tag being a term from an assigned node. Tags are used to categorize the content object, summarize of the content object, identify recommended content objects, identify content objects responsive to a search query, and/or identify other content objects to supplement the content object.