Instance Selection Techniques for Memory-based Collaborative Filtering

  title={Instance Selection Techniques for Memory-based Collaborative Filtering},
  author={Kai Yu and Xiaowei Xu and Jianjua Tao and Martin Ester and Hans-Peter Kriegel},
Collaborative filtering (CF) has become an important data mining technique to make personalized recommendations for books, web pages or movies, etc. One popular algorithm is the memory-based collaborative filtering, which predicts a user’s preference based on his or her similarity to other users (instances) in the database. However, the tremendous growth of users and the large number of products, memory-based CF algorithms results in the problem of deciding the right instances to use during… CONTINUE READING
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