CDMF: A Deep Learning Model based on Convolutional and Dense-layer Matrix Factorization for Context-Aware Recommendation.
Mingxin GanYingxue MaKejun XiaoPublished in: HICSS (2019)
Keyphrases
- deep learning
- matrix factorization
- context aware recommendation
- collaborative filtering
- restricted boltzmann machine
- recommender systems
- tensor factorization
- unsupervised feature learning
- implicit feedback
- unsupervised learning
- machine learning
- negative matrix factorization
- deep belief networks
- nonnegative matrix factorization
- mental models
- weakly supervised
- recommendation systems
- contextual information
- missing data
- user preferences
- active learning
- link prediction
- supervised learning
- high dimensional