Methods, systems, and media for determining playlist title coherence and quality

A system for generating playlist recommendations, the system comprising:

• a hardware processor that is configured to:
• determine a title of a playlist;
• generate a byte-level representation of the title based on the title of the playlist;
• determine an embedded representation of the title based on the byte-level representation;
• determine a perplexity score 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
• cause a recommendation based on the perplexity score of the title to be presented.

A non-transitory computer-readable medium containing computer executable instructions that, when executed by a processor, cause the processor to execute a method for generating playlist recommendations, the method comprising:

• determining a title of a playlist;
• generating a byte-level representation of the title based on the title of the playlist;
• determining an embedded representation of the title based on the byte-level representation;
• determining a perplexity score 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 a recommendation based on the perplexity score of the title to be presented.