Recommender Systems for Books, Transformers and GHG Emissions
About this project
The purposes of this project are multiples. First, this project try to prove that recommender engines can be used to suggest new books to users. Second, in this project, two categories of recommender engine was explored: Collaborative Filtering Algorithms and Content-Based Algorithms. Finally, an approach using new discoveries in NLP was tried. For each methods, an evaluation of GHG Emissions was realised.
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