SYSTEMS AND METHODS FOR PROVIDING MUSIC RECOMMENDATIONS

摘要

A computerized system and an associated computer-implemented method for the analysis of user activity and preparation of the data for a music recommender in a social network. The history of actions is analyzed in multiple dimensions in order to mine collaborative correlations, temporal correlations and overall ranking. The results of the analysis are exported in a form of a taste graph, which is then used to generate on-line music recommendations. The taste graph captures relations between different entities pertaining to music (users, tracks, artists, etc.) and it consists of the following main parts: user preferences, track similarities, artist similarities, artists' works and demography profiles. Each part of the taste graph is created using a separate algorithm. The recommendations are generated based on the composed stochastic graph structure using a random walk algorithm.

主权项

1. A computer-implemented method for making a recommendation to a user, the method being performed in connection with a computerized system comprising a central processing unit and a memory, the computer-implemented method comprising:
a. using the central processing unit to compose a stochastic graph structure based on collaborative correlations, content information and social data associated with the user, the stochastic graph structure comprising a plurality of edges; b. using the central processing unit to analyze the composed stochastic graph structure; and c. using the central processing unit to construct a recommendation for the user based on the analyzed stochastic graph structure.