18071986. METHODS, SYSTEMS, AND MEDIA FOR DETERMINING PLAYLIST TITLE COHERENCE AND QUALITY simplified abstract (GOOGLE LLC)
METHODS, SYSTEMS, AND MEDIA FOR DETERMINING PLAYLIST TITLE COHERENCE AND QUALITY
Organization Name
Inventor(s)
Ben Goodrich of San Francisco CA (US)
Kumar Chippala of Mountain View CA (US)
METHODS, SYSTEMS, AND MEDIA FOR DETERMINING PLAYLIST TITLE COHERENCE AND QUALITY - A simplified explanation of the abstract
This abstract first appeared for US patent application 18071986 titled 'METHODS, SYSTEMS, AND MEDIA FOR DETERMINING PLAYLIST TITLE COHERENCE AND QUALITY
Simplified Explanation
The abstract describes a method for generating playlist recommendations based on the coherence and quality of the playlist title. Here is a simplified explanation of the patent application:
- Determining the title of a playlist
- Generating a byte-level representation of the title
- Determining an embedded representation of the title
- Calculating a perplexity score of the title using a trained language model
- Providing a recommendation based on the perplexity score
Potential Applications: This technology could be applied in music streaming services to improve playlist recommendations for users based on the quality and coherence of playlist titles.
Problems Solved: This technology helps address the issue of providing relevant and engaging playlist recommendations to users by analyzing the playlist titles.
Benefits: Users can discover new music that aligns with their preferences more effectively, leading to a better overall music streaming experience.
Potential Commercial Applications: "Enhancing Playlist Recommendations in Music Streaming Services"
Possible Prior Art: One possible prior art could be the use of natural language processing techniques to analyze text data for recommendation systems in various domains.
Unanswered Questions: 1. How does the method handle playlists with non-English titles? 2. What is the impact of the perplexity score on the overall user satisfaction with the playlist recommendations?
Original Abstract Submitted
Methods, systems, and media for determining playlist title coherence and quality are provided. In some embodiments, a method for generating playlist recommendations includes: determining, using a hardware processor, a title of a playlist; generating, using the hardware processor, a byte-level representation of the title based on the title of the playlist; determining, using the hardware processor, an embedded representation of the title based on the byte-level representation; determining, using the hardware processor, a perplexity score of the title by inputting the embedded representation of the title into a trained language model, wherein the perplexity score is an output of the trained language model; and causing, using the hardware processor, a recommendation based on the perplexity score of the title to be presented.
