公开(公告)号：US12210567B2

公开(公告)日：2025-01-28

申请号：US18071986

申请日：2022-11-30

Applicant: Google LLC

Inventor： Ben Goodrich ,  Kumar Chippala

IPC: G06F16/63 ,  G06F16/638 ,  G06F40/263 ,  G06N20/00

Abstract: 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.

公开(公告)号：US20240176816A1

公开(公告)日：2024-05-30

申请号：US18071986

申请日：2022-11-30

Applicant: Google LLC

Inventor： Ben Goodrich ,  Kumar Chippala

IPC: G06F16/638 ,  G06F40/263 ,  G06N20/00

CPC classification number: G06F16/639 ,  G06F40/263 ,  G06N20/00

Abstract: 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.