Alleviating the Sparsity Problem of Collaborative Filtering Using an Efficient Iterative Clustered Prediction Technique.
Amira AbdelwahabHiroo SekiyaIkuo MatsubaYasuo HoriuchiShingo KuroiwaPublished in: Int. J. Inf. Technol. Decis. Mak. (2012)
Keyphrases
- collaborative filtering
- data sparsity
- prediction accuracy
- recommender systems
- matrix factorization
- prediction model
- cross domain collaborative filtering
- recommendation systems
- prediction algorithm
- user preferences
- rating matrix
- prediction error
- deal with information overload
- sparse reconstruction
- cold start problem
- high dimensional
- information filtering
- neural network
- machine learning