In this episode, Bob Kasenchak, taxonomist and information architect at Factor, discusses strategies to make music more findable and the challenges of organizing classical music in streaming platforms. They also explore the distinction between music as information and information about music, the issue of differentiating albums with the same name, and the features of Grammarly.
Music search in the digital age requires clean metadata and additional technologies like image recognition and transcription to aid in finding and organizing music.
Lessons from music organization can be applied to other areas of information management, such as images and textual documents, by applying appropriate categorization and tagging and utilizing language models to enhance search and retrieval experiences across different content types.
Deep dives
Information Architects can learn from music
Music conveys emotional and contextual information that is encoded and culturally dependent. It raises questions about how to find and organize music in the digital age. The shift from physical to digital media has changed music consumption and searching for music has become more complex. Free-text search is inadequate for organizing music, and clean metadata is essential for accurate categorization. A single search box interface is difficult to implement for music search, given the diverse metadata fields to consider. The challenge lies in mapping nonverbal information (music) to text-based descriptions. Additional technologies like image recognition and transcription can aid in searching and organizing music.
Challenges in Classifying and Finding Music
The complexity of classifying and finding music is evident in cases where artists release multiple albums with the same name or when artists create crossover genres. Genre classification is subjective and personal, making it difficult to accommodate individual preferences. Classical music poses unique challenges due to its multi-level categorization, involving composer, artist, and conductor details, as well as multi-movement works. Search interfaces for music must accommodate these complexities and provide specialized options for different genres. Apple's separate app for classical music recognizes the need for tailored interfaces based on users' mental models.
Implications for Organizing Information
Lessons from music organization can be applied to other areas of information management. Just as music requires metadata to make it findable, other types of content, such as images and textual documents, need appropriate categorization and tagging. Language models, like large language models (LLMs), offer possibilities for improved metadata generation and retrieval. For example, they can detect tone, energy levels, or formality in text. By researching users' mental models, information professionals can design interfaces that cater to specific domains, like grammar, formality, or intent, to enhance search and retrieval experiences across various content types.
The Power and Challenges of Large Language Models (LLMs)
LLMs, like Grammarly, have broadened the possibilities for understanding and accessing information. They can analyze vast datasets to detect patterns, assess tone, and categorize content. While LLMs excel in various domains, they have limits and should not replace human input. The ongoing exploration of LLMs includes refining their capabilities, integrating them within organizations' infrastructure, and addressing ethical concerns. As LLMs become more customizable and accessible, they can advance information organization, search, and retrieval techniques, benefiting fields beyond writing assistance.
Bob Kasenchak is a taxonomist and information architect at Factor. This is the second of two episodes with Bob that focus on what information architects can learn from music. The first conversation, which you can find in episode 116, focused on the structure of music itself. Today’s conversation focuses on how we can make music more findable — but there are insights here for anyone working with any type of information, not just music.