Notes from The Singularity

Month: October 2017

Recommender Systems

Full implementation is complex: it needs advanced linear algebra.

Types of Recommender Systems:

  • Content based. Focus on the attributes of the items: the usual “related items”.
  • Collaborative filter (CF). Uses “wisdom of the crowd” to recommend items: eg Amazon. CF is most used on content based systems.
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