A Music Recommender System by Using Basis Functions and Inter Correlations So my university project is about music recommender system.
My teacher not saying too much. But he only said it will use basis functions and convolution technique.  

I want some ideas about this project about how to create this.
I have programmed in MATLAB and know basics of DSP like DFT (FFT), Correlation, Convolution etc. 

Any idea from experts? 

I would like to inform that this music recommendation system will be content based and it will use correlation technique to find music similarity with basis signal.
Many Recommender Systems are based on Matrix Factorization.
There is a technique called Convolutional Matrix Factorization which is might what your teacher implied.

You may have a look here Tutorial - Large Scale Matrix Factorization (IEEE Big Data 2016 Tutorials) for Convolutional Matrix Factorization.