LSVP: A visual based deep neural direction learning model for point-of-interest recommendation on sparse check-in data.
Yu SangHuimin SunChao LiLihua YinPublished in: Neurocomputing (2021)
Keyphrases
- prior knowledge
- learned models
- data sets
- experimental data
- input data
- computational model
- probabilistic model
- accurate models
- sparse data
- data collection
- neural model
- learning models
- data analysis
- training data
- sensory data
- high level
- test data
- network structure
- hebbian learning
- visual processing
- hidden variables
- statistical methods
- database
- generative model
- supervised learning
- learning process
- learning algorithm
- latent variables
- missing data
- biologically inspired
- em algorithm
- neural network
- collaborative filtering
- probability distribution
- latent factors