MusicDress: A Heterogeneous Dataset for Comparing Music Recommender Systems.
Johannes SchoderH. Martin BückerAndré BötticherRonja M. KarmannPublished in: SNAMS (2022)
Keyphrases
- recommender systems
- netflix prize
- music recommendation
- collaborative filtering
- user modeling
- benchmark datasets
- recommendation systems
- cold start problem
- information filtering
- matrix factorization
- relevance feedback
- real world
- user interests
- database
- information overload
- training dataset
- heterogeneous data
- heterogeneous networks
- user profiling
- search engine
- computer music
- music composition
- neural network