Song List Display Generation Using Multi-Dimensional Metadata
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Solution Overview
Problem
Existing methods for generating display information for song lists suffer from low matching degree with the content and inability to accurately represent the features of the song list, particularly when relying on single-dimensional features.
Innovation Solution
Generate display information based on multi-dimensional song list metadata, including song list titles and covers, by acquiring and processing metadata that characterizes the multi-dimensional features of the songs in the list, using techniques such as weighted averaging and natural language processing to ensure accuracy and consistency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If display information is generated based on single-dimensional features, then the generation process is simple, but the matching degree with song list content is low
Solution Approach 1:
The patent transitions from single-dimensional feature extraction to multi-dimensional feature extraction. It extracts features across multiple dimensions including musical attributes (tempo, key, genre), lyrical content, and metadata, then integrates these dimensions through weighted averaging to generate comprehensive display information that accurately represents the song list content
2Measurement precision
If display information is generated based on multi-dimensional features, then the accuracy and representativeness improve, but the processing complexity increases
Solution Approach 1:
The patent segments the complex task of multi-dimensional feature processing into distinct modules: feature extraction modules for different dimensions (musical features, lyrical features, metadata), a weighted averaging module that combines these features, and a display information generation module. This segmentation reduces overall complexity by making each component more manageable and independent
3Measurement precision
If comprehensive multi-dimensional metadata is collected and processed, then the representation accuracy of song list features improves, but the data processing time increases
Solution Approach 1:
The patent applies parameter changes by introducing weighted averaging where different dimensional features are assigned different weights based on their importance and relevance to the song list. This allows the system to process comprehensive multi-dimensional metadata while optimizing processing time by focusing computational resources on the most significant features rather than treating all features equally
Data Source
AI summary
Provided in the embodiments of the present disclosure are a song list display information generation method and apparatus, an electronic device, a computer-readable storage medium, a computer program product and a computer program. The method comprises: acquiring a target song list, the target song list comprising at least one song to be played back; and generating display information corresponding to the target song list, the display information being generated on the basis of song list metadata of the target song list, the song list metadata representing multi-dimensional features of said at least one song, and the display information comprising a song list title and/or a song list cover corresponding to the target song list. By acquiring the target song list and generating the display information by means of targeted use of the song list metadata of the target song list, the present invention allows the generated display information to be matched with the target song list in respect of multiple dimensions, thus improving the consistency of the generated display information and song list content, and achieving accurate display of the features of the song list content.