Content-based filtering & collaborative filtering (Building recommendation systems with TensorFlow)

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In this video we will be walking you through the concepts of content-based filtering and collaborative filtering, which are traditional algorithms for recommendation systems but are useful to help us better understand modern recommenders.

product: TensorFlow - TensorFlow Recommenders, TensorFlow - General; re_ty: Publish;
  1. TensorFlow
  2. purpose: Educate
  3. pr_pr: TensorFlow
  4. series: Coding TensorFlow
  5. type: DevByte (deck cleanup 0-10min)
  6. building recommendation systems with tensorflow
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Комментарии
Автор

Good video but I don’t get what you mean with observed items. Can anyone explain?

henrikf
Автор

so Content based recommendation is based on an individuals own choice of preferences whereas collaborative filtering influences the recommendation of an individual based on other users similar preferences?

rafaykhattak