Recommender systems are a crucial component in competitive retail services such Amazon, Netflix or Google. This success is partly due to Collaborative filtering (CF) approaches, which use known user ratings of items to predict user preferences in item selection. Here, an efficient implementation of an add-on for Orange3 is proposed in order to include support for scalable collaborative filtering solutions applied in large recommender systems.

Student

Salva Carrión

Mentors

  • tomazc
  • martinstrazar@gmail.com
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2016