Patent Document ID: 7873634
Application ID: 11684900

Base Claim:
1. A method for automatic ranking of target files according to a predefined scheme, comprising the steps of: building a database of reference files already ranked according to the predefined scheme; for each target file: i) determining a neighborhood of the target file among the reference files in the database of reference files, and forming a training set comprising reference files of this neighborhood, versus which neighborhood as a whole the target file is to be assessed, wherein said step of forming a training set comprises extracting a feature vector of the target file and finding n closest neighbors of the feature vector of the target file among features vectors in the database of reference files, and wherein said finding n closest neighbors comprises using one of: i) Euclidean distance, ii) cosine distance and iii) Jensen-Shannon distribution similarity; ii) building a test set from features of the target file; iii) dynamically generating a learning model from the training set, the learning model defining a correlation between the reference files in the training set and a rank thereof according to the predefined scheme; and iv) applying the learning model to the test set; whereby a rank corresponding to the target file is predicted according to the predefined scheme.

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Claim 22:
22. The method of claim 1 , wherein the target files are song files, the reference files are songs previously ranked according to the predefined scheme, and the target files are assessed according to the previously ranked songs.