Audio Search Relevance via Creator Feedback
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Solution Overview
Problem
Current search engines in audio file storage systems often produce large numbers of irrelevant results, making it difficult for users to find relevant audio files, as they rely on algorithms that may not accurately recognize changing noun phrases or expert opinions, leading to a lack of relevance in search results.
Innovation Solution
A method and system where a server generates inquiries based on identified audio files related to a first file, involving creators to select and rank relevant audio files, with responses stored to influence future search results, enhancing relevance by leveraging creator expertise and opinions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If search engines use automated algorithms to identify relevant audio files, then productivity is improved, but measurement precision deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where creators review and validate search results, providing corrections and relevance assessments that are used to refine and improve the automated search algorithms over time
Solution Approach 2:
The patent introduces creators as an intermediary layer between the automated search engine and the final search results, where creators review and validate the relevance of identified audio files before they are presented to users
2Quantity of substance
If search engines expand the number of identified audio files, then quantity of results is improved, but loss of information increases
Solution Approach 1:
The patent extracts and prioritizes the most relevant audio files from the identified set based on creator feedback and relevance scoring, presenting only the highest quality results to users while maintaining access to the full database
3Device complexity
If search engines rely on automated algorithms, then device complexity is reduced, but manufacturing precision deteriorates
Solution Approach 1:
The patent merges automated algorithmic search with manual creator review and validation processes, combining the efficiency of automation with the precision of human judgment to achieve both simplicity and accuracy
Data Source
AI summary
Methods and systems for providing related audio files in an audio file storage system are disclosed. One method includes identifying a plurality of audio files within the audio file storage system, wherein the plurality of audio files each have a relationship with the first file, and wherein each audio file includes an audio and associated information. The method further includes generating, by a system server, a list of inquiries based on the plurality of audio files, providing, by the system server, the list of inquiries to at least one creator of the first file, receiving from the at least one creator at least one response to the list of inquiries, selecting a subset of the plurality of audio files based on the at least one response, and storing information related to the selected subset of the plurality of audio files.