HDNN-CF: A hybrid deep neural networks collaborative filtering architecture for event recommendation.
Lixin ZouYulong GuJiaxing SongWeidong LiuYuan YaoPublished in: SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
Keyphrases
- collaborative filtering
- neural network
- recommender systems
- data sparsity
- network architecture
- hybrid recommendation
- matrix factorization
- recommendation systems
- multi layer
- user preferences
- item based collaborative filtering
- personalized recommendation
- cold start problem
- pattern recognition
- online dating
- event driven
- recommendation quality
- implicit feedback
- cold start
- user ratings
- recommendation algorithms
- product recommendation
- content based filtering
- neural network model
- item recommendation
- collaborative filtering recommendation
- probabilistic matrix factorization
- artificial neural networks
- neighborhood based collaborative filtering
- fuzzy logic
- user profiles
- event detection
- management system
- deal with information overload
- rating matrix
- polynomial neural networks
- netflix prize
- pearson correlation coefficient
- associative memory
- information filtering
- latent factor models
- hybrid intelligent systems
- learning capabilities
- demographic information
- neighbor selection
- real time
- making recommendations
- event processing
- transfer learning
- back propagation
- user based collaborative filtering
- hybrid models
- social tagging systems
- information overload