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Sequential Recommender Evaluation

This is the project for Recsys 2016/2017

The purpose is to implement several state-of-the-art recommender systems and test their performances with respect to several evaluation protocol.

Recommenders:

  • Popularity
  • Frequent Pattern Mining
  • Markov Chain
  • Prod2Vec
  • Supervised
  • Factorizing Personalized Markov Chains

The full report is available here

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