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Time dependent evaluation of Recommender Systems

This repository holds all relevant code to evalaute recsys algorithms over time. The main code is in the file lenskit_gs_main.py. The algorithms and evaluation are from the Lenskit libary.

Dependencies:

  • pandas
  • numpy
  • sklearn
  • tensorflow
  • lenskit

The following datasets were used:

  • Neflix
  • Amazon (books, instant video, toys and games, Music)
  • Movielens (100k, 1M, 10M)
  • yelp Any other datasets that include a timestamp can be used. The reading instructions just need to be added to the function 'read_datasets' in the util.py file.

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