Resolving cold start and sparse data challenge in recommender systems using multi-level singular value decomposition.
Keyvan Vahidy RodpyshSeyed Javad MirabediniTouraj BanirostamPublished in: Comput. Electr. Eng. (2021)
Keyphrases
- singular value decomposition
- sparse data
- cold start
- recommender systems
- cold start problem
- collaborative filtering
- high dimensional
- dimensionality reduction
- least squares
- dimension reduction
- singular values
- data sparsity
- matrix factorization
- implicit feedback
- principal component analysis
- random projections
- user preferences
- personalized recommendation
- pattern recognition
- user interests
- data cube
- user feedback
- user ratings
- tag recommendation
- recommendation algorithms
- user model
- user behavior
- high dimensional data
- nearest neighbor
- image processing