Getting to Know Your Neighbors (KYN). Explaining Item Similarity in Nearest Neighbors Collaborative Filtering Recommendations.
Joanna Misztal-RadeckaBipin IndurkhyaPublished in: UMAP (Adjunct Publication) (2020)
Keyphrases
- nearest neighbor
- user similarity
- collaborative filtering
- recommender systems
- making recommendations
- pearson correlation coefficient
- user ratings
- cold start problem
- personalized recommendation
- user preferences
- hybrid recommendation
- distance function
- collaborative filtering algorithms
- item recommendation
- cold start
- k nearest neighbor
- knn
- collaborative recommendation
- data points
- recommendation algorithms
- recommendation systems
- social networks
- latent factor models
- data sparsity
- high dimensional data
- nearest neighbor search
- recommendation quality
- matrix factorization
- high dimensional
- nearest neighbor algorithm
- music recommendation
- information filtering
- online dating
- training set
- similarity measure
- similarity function
- rating prediction
- collaborative filtering recommendation algorithm
- decision boundary
- user profiles
- active user
- index structure
- user interests
- user feedback
- pattern classification
- training data
- deal with information overload