Client-based generation of music playlists from a...

Details Client-based generation of music playlists from a... Client-based generation of music playlists from a...

2008-03-04

2008-03-04

Cottingham, John (Department: 2167)

Data processing: database and file management or data structures

Database design

Data structure types

C707S793000, C707S793000, C348S207990

Reexamination Certificate

active

11045930

ABSTRACT:
A “Music Mapper” automatically constructs a set coordinate vectors for use in inferring similarity between various pieces of music. In particular, given a music similarity graph expressed as links between various artists, albums, songs, etc., the Music Mapper applies a recursive embedding process to embed each of the graphs music entries into a multi-dimensional space. This recursive embedding process also embeds new music items added to the music similarity graph without reembedding existing entries so long a convergent embedding solution is achieved. Given this embedding, coordinate vectors are then computed for each of the embedded musical items. The similarity between any two musical items is then determined as either a function of the distance between the two corresponding vectors. In various embodiments, this similarity is then used in constructing music playlists given one or more random or user selected seed songs or in a statistical music clustering process.

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