A new similarity function for selecting neighbors for each target item in collaborative filtering.
Keunho ChoiYongmoo SuhPublished in: Knowl. Based Syst. (2013)
Keyphrases
- similarity function
- collaborative filtering
- user preferences
- collaborative filtering recommendation algorithm
- similarity measure
- personalized recommendation
- user ratings
- distance function
- cold start problem
- recommender systems
- making recommendations
- pearson correlation coefficient
- pairwise
- cosine similarity
- item recommendation
- active user
- hybrid recommendation
- recommendation algorithms
- kernel methods
- nearest neighbor
- matrix factorization
- latent factor models
- similarity values
- user similarity
- cold start
- data sparsity
- user interests
- data points
- dot product
- machine learning
- databases
- feature vectors
- low dimensional
- input data
- collaborative filtering algorithms
- transfer learning