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NMF #3

@brenorb

Description

@brenorb

Simple NMF

  • Decompose user x anime matrix into 20 groups
  • Get group row with scores
  • argsort to get likely hood of every anime already ranked

NMF + cos sim

  • cosine similarity with in-group users
  • rank users according to similarity and get top K
  • Get top K users best ranked movies excluding not-rated
  • w1 * norm(group_score) + w2 * norm(top_k_score)
  • optimize [w1, w2]

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