User Profile Construction Using Content Tags for Digital Recommendation
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Solution Overview
Problem
Conventional digital content recommendation systems face limitations in reflecting user preferences due to sparsity issues and restricted comparisons within standardized metadata, making it difficult to recommend content effectively as the number of digital content files increases.
Innovation Solution
A method and apparatus for constructing user profiles using content tags, allowing for the extraction and input of user-specified tags, and merging tag items to calculate recommendation values, thereby expanding the comparison scope and enabling more accurate digital content recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional user profile construction using standardized metadata is used, then comparison between users is simplified, but the scope of comparison is limited and cannot reflect diverse user preferences
Solution Approach 1:
The patent segments the user profile into multiple dimensions: basic information, content consumption information, and tag-based preference information. This segmentation allows the system to maintain standardized comparison while incorporating diverse user preferences through tags, thus expanding the comparison scope without excessive complexity
Solution Approach 2:
The patent introduces tags as an intermediary element between standardized metadata and user preferences. Tags serve as a flexible layer that captures diverse user preferences while maintaining compatibility with standardized metadata structures, enabling expanded comparison scope without breaking the existing system framework
2Quantity of substance
If the number of digital content files increases, then more content can be recommended, but sparsity increases making it difficult to find common content for comparison
Solution Approach 1:
The patent transitions from comparing users based solely on common digital content files (one dimension) to comparing users based on tags extracted from content (another dimension). This dimensional shift allows the system to maintain reliable recommendations even when the number of common files between users decreases, as tags provide an alternative comparison basis
Solution Approach 2:
The patent extracts and copies essential preference information from digital content files into tag-based user profiles. This copying mechanism allows the system to preserve user preference patterns even when original content files are not shared between users, maintaining recommendation reliability across large content libraries
3Ease of operation
If only standardized metadata items are used for comparison, then the comparison process is straightforward, but descriptive user preferences cannot be reflected
Solution Approach 1:
The patent merges standardized metadata comparison with tag-based preference comparison into a unified profile comparison process. This combination maintains the simplicity of standardized metadata comparison while incorporating rich descriptive preference information from tags, thus preserving both ease of operation and information completeness
Data Source
AI summary
A method of and apparatus for constructing a user profile using a content tag, a method of recommending digital content by using a user profile including a tag included in the digital content and a preference value for the tag. According to the methods and apparatus, a user profile is generated by using a content tag, and thus the taste of the user according to digital content consumption can be expressed in more varied ways. Also, by suggesting a method of generating a tag from web content, construction of a user profile for digital content having no tag is enabled. Furthermore, a tag extracted from digital content used by a user is included in a profile and it can be used for a variety of purposes, such as expansion of a comparison scope, use of preference keywords, providing of content links, and expansion of search scope.