A sentiment-based item description approach for kNN collaborative filtering.
Rafael Martins D'AddioMarcelo G. ManzatoPublished in: SAC (2015)
Keyphrases
- knn
- collaborative filtering
- k nearest neighbor
- collaborative filtering recommendation algorithm
- user preferences
- user ratings
- nearest neighbor
- making recommendations
- personalized recommendation
- text categorization
- pearson correlation coefficient
- cold start problem
- k nearest neighbour
- sentiment analysis
- hybrid recommendation
- recommender systems
- text classification
- latent factor models
- recommendation algorithms
- distance function
- cold start
- similarity search
- sentiment classification
- matrix factorization
- knn algorithm
- data sparsity
- opinion mining
- classification algorithm
- user similarity
- support vector machine svm
- knn classifier
- neural network
- feature selection
- data sets
- k nearest
- support vector machine
- recommendation systems
- artificial neural networks
- knn classification
- test instances
- distance measurement
- collaborative filtering algorithms
- input space
- transfer learning
- user profiles
- shows significant improvements
- data mining