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Song recommendation with Non-Negative Matrix factorization and graph total variation

Song recommendation with Non-Negative Matrix factorization and graph total variation
Abstract: 

This work formulates song recommendation as a matrix completion problem that benefits from collaborative filter- ing through Non-negative Matrix Factorization (NMF) and content-based filtering via total variation (TV) on graphs. The graphs encode both playlist proximity information and song similarity, using a rich combination of audio, meta-data and social features. As we demonstrate, our hybrid recom- mendation system is very versatile and incorporates several well-known methods while outperforming them. Particularly, we show on real-world data that our model overcomes w.r.t. two evaluation metrics the recommendation of models solely based on low-rank information, graph-based information or a combination of both.

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Paper Details

Authors:
Kirell Benzi, Vassilis Kalofolias, Xavier Bresson, Pierre Vandergheynst
Submitted On:
20 March 2016 - 12:15am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Kirell Benzi
Document Year:
2016
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Document Files

icassp_2016_2.pdf

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[1] Kirell Benzi, Vassilis Kalofolias, Xavier Bresson, Pierre Vandergheynst, "Song recommendation with Non-Negative Matrix factorization and graph total variation", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/856. Accessed: Sep. 20, 2019.
@article{856-16,
url = {http://sigport.org/856},
author = {Kirell Benzi; Vassilis Kalofolias; Xavier Bresson; Pierre Vandergheynst },
publisher = {IEEE SigPort},
title = {Song recommendation with Non-Negative Matrix factorization and graph total variation},
year = {2016} }
TY - EJOUR
T1 - Song recommendation with Non-Negative Matrix factorization and graph total variation
AU - Kirell Benzi; Vassilis Kalofolias; Xavier Bresson; Pierre Vandergheynst
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/856
ER -
Kirell Benzi, Vassilis Kalofolias, Xavier Bresson, Pierre Vandergheynst. (2016). Song recommendation with Non-Negative Matrix factorization and graph total variation. IEEE SigPort. http://sigport.org/856
Kirell Benzi, Vassilis Kalofolias, Xavier Bresson, Pierre Vandergheynst, 2016. Song recommendation with Non-Negative Matrix factorization and graph total variation. Available at: http://sigport.org/856.
Kirell Benzi, Vassilis Kalofolias, Xavier Bresson, Pierre Vandergheynst. (2016). "Song recommendation with Non-Negative Matrix factorization and graph total variation." Web.
1. Kirell Benzi, Vassilis Kalofolias, Xavier Bresson, Pierre Vandergheynst. Song recommendation with Non-Negative Matrix factorization and graph total variation [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/856