Using Dimensionality Reduction to Improve Similarity Judgements for Recommendation.
Miles EfronGary GeislerPublished in: DELOS (2001)
Keyphrases
- dimensionality reduction
- similarity measure
- principal component analysis
- structure preserving
- machine learning
- similarity calculation
- euclidean distance
- high dimensionality
- high dimensional data
- structural similarity
- similarity metric
- similarity function
- linear discriminant analysis
- distance metric
- data sets
- distance measure
- recommender systems
- learning algorithm
- neural network