Fully content-based movie recommender system with feature extraction using neural network.
Hung-Wei ChenYi-Leh WuMaw-Kae HorCheng-Yuan TangPublished in: ICMLC (2017)
Keyphrases
- neural network
- feature extraction
- recommender systems
- information filtering
- content based filtering
- pattern recognition
- music recommendation
- collaborative filtering
- back propagation
- preprocessing
- user preferences
- image retrieval
- artificial neural networks
- face recognition
- pattern classification
- user profiles
- frequency domain
- discriminant analysis
- extracted features
- multimedia
- relevance feedback
- feature vectors
- fuzzy artmap
- neural network is trained
- image processing
- multi layer neural network
- cold start problem
- user ratings
- feed forward neural networks
- social networks
- image classification
- dimension reduction
- bp neural network
- linear feature extraction
- movie recommendation
- wavelet transform
- feature set
- learning vector quantization
- neural network model
- feed forward
- neural nets
- associative memory
- personalized recommendation
- implicit feedback
- multi layer perceptron
- network architecture
- matrix factorization
- fuzzy logic
- recommendation quality
- feature space
- gabor filters
- fermentation process
- feature selection