Spotify AB (20240273137). Systems and Methods for Searching Audio Content simplified abstract
Contents
Systems and Methods for Searching Audio Content
Organization Name
Inventor(s)
Xingran Zhu of New York NY (US)
Diego Fernando Lorenzo Casabuena Gonzalez of Brooklyn NY (US)
Ann Clifton of Lopez Island WA (US)
Daren Keith Gill of New York NY (US)
Systems and Methods for Searching Audio Content - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240273137 titled 'Systems and Methods for Searching Audio Content
The abstract of this patent application describes methods and devices for searching audio content, including obtaining a query string, obtaining audio content results, selecting a subset of results, and presenting them to a user.
- The method involves obtaining a query string for audio content.
- It includes obtaining a plurality of audio content results corresponding to the query string.
- The method further involves selecting a subset of results from the plurality of audio content results.
- This selection includes choosing search results from a variety of sub-topic clusters.
- The subset of audio content results is then sequenced.
- Finally, the sequenced subset of audio content results is presented to a user.
Potential Applications: - Music streaming platforms - Podcast search engines - Audio book libraries
Problems Solved: - Efficient searching of audio content - Improved user experience in finding relevant audio content
Benefits: - Saves time for users searching for specific audio content - Enhances user satisfaction with search results - Increases engagement with audio platforms
Commercial Applications: Title: "Enhanced Audio Content Search Technology for Improved User Experience" This technology can be utilized by music streaming services, podcast platforms, and online libraries to enhance the search capabilities for audio content, leading to increased user satisfaction and engagement. The market implications include improved user retention and potentially attracting new users to these platforms.
Prior Art: Prior art related to this technology may include existing audio search algorithms, content recommendation systems, and user interface designs in the field of audio content platforms.
Frequently Updated Research: Researchers in the field of audio content search technology may be exploring advancements in natural language processing for audio queries, machine learning algorithms for personalized recommendations, and user behavior analysis for improving search results.
Questions about Audio Content Search Technology: 1. How does this technology improve the search experience for users compared to traditional methods? - This technology enhances the search experience by organizing audio content results into sub-topic clusters, making it easier for users to find relevant content quickly.
2. What are the potential challenges in implementing this technology on a large scale? - Implementing this technology on a large scale may require significant computational resources and data processing capabilities to handle a vast amount of audio content and user queries effectively.
Original Abstract Submitted
the various implementations described herein include methods and devices for searching of audio content. in one aspect, a method includes obtaining a query string for audio content and obtaining a plurality of audio content results corresponding to the query string. the method further includes selecting a subset of results from the plurality of audio content results, including selecting respective search results from a plurality of sub-topic clusters, and sequencing the subset of audio content results. the method also includes causing the sequenced subset of audio content results to be presented to a user.
