Adapting Ratings in Memory-Based Collaborative Filtering using Linear Regression.
Jérôme KunegisSahin AlbayrakPublished in: IRI (2007)
Keyphrases
- linear regression
- collaborative filtering
- least squares
- recommender systems
- collaborative filtering algorithms
- matrix factorization
- regression problems
- regression methods
- data sparsity
- ridge regression
- pearson correlation coefficient
- recommendation systems
- user ratings
- user preferences
- personalized recommendation
- locally weighted
- netflix prize
- regression trees
- linear regression model
- nonlinear regression
- regression method
- linear models
- collaborative filtering recommendation algorithm
- making recommendations
- latent factor models
- multivariate regression
- machine learning
- cold start
- user interests
- user similarity
- cold start problem
- predictor variables
- loss bounds
- generalized linear models
- kernel regression
- implicit feedback
- recommendation algorithms
- rating matrix
- data streams