System and method of predicting user audio file preferences

A computerized method of comparing audio files according to anticipated user affinity, each said audio files having a nominal playing time duration, and each said audio file comprising at least one audio track that is itself composed of a summation function of a plurality of constituent audio waveforms with each constituent audio waveform having at least its own frequency, and amplitude, said method comprising:

• For each audio file, for at least a substantial portion of said audio file that corresponds to a substantial portion of said audio file's nominal playing time duration, using at least one processor and memory to perform the steps of:
• dividing the constituent waveforms of said at least one audio track into a plurality of frequency and amplitude bins, and analyzing the complexity of the constituent waveforms in each bin according to a complexity algorithm that produces a complexity score for each said bin,
• thus characterizing each audio file as a plurality of audio file frequency and amplitude bins, each bin having its own complexity score;
• further producing at least one user affinity score between at least a first high affinity audio file with known high user affinity, and a different unknown affinity audio file with unknown user affinity, by the steps of:
• for at least a substantial portion of all said high affinity audio file bins and said unknown affinity audio file bins, selecting matching bins with corresponding frequency and amplitude, and comparing the complexity scores of said matching high affinity audio file bins and said matching unknown affinity audio file bins according to an anticipated user affinity algorithm, thus producing an anticipated user affinity score for said unknown affinity audio file, thus allowing said unknown affinity audio file to be compared according to anticipated user affinity;
• wherein said method is used to rank a plurality of audio files in a computer database, thus allowing a user of said database to use indicia of at least one high affinity audio file as a database query, and wherein said database uses said method to return indicia to said user of at least one unknown affinity audio file that may be potentially acceptable to said user, or transmit or play at least one unknown affinity audio file to said user or said user's computerized device;
• and
• wherein said anticipated user affinity algorithm produces an anticipated user affinity score that is displayed on the display screen of a computerized device, and that allows a user of said computerized device to understand that said unknown high affinity audio file is being favorably compared with said high affinity audio file.