Modelling Users with Item Metadata for Explainable and Interactive Recommendation

@article{Pauw2022ModellingUW,
  title={Modelling Users with Item Metadata for Explainable and Interactive Recommendation},
  author={Joey De Pauw and Koen Ruymbeek and Bart Goethals},
  journal={ArXiv},
  year={2022},
  volume={abs/2207.00350}
}
Recommender systems are used in many different applications and contexts, however their main goal can always be summarised as “connecting relevant content to interested users”. Personalized recommendation algorithms achieve this goal by first building a profile of the user, either implicitly or explicitly, and then matching items with this profile to find relevant content. The more interpretable the profile and this “matching function” are, the easier it is to provide users with accurate and… 

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