• Corpus ID: 239049664

A scale invariant ranking function for learning-to-rank: a real-world use case

@article{Petrozziello2021ASI,
  title={A scale invariant ranking function for learning-to-rank: a real-world use case},
  author={Alessio Petrozziello and Xiaoke Liu and Christian Sommeregger},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.11259}
}
Nowadays, Online Travel Agencies provide the main service for booking holidays, business trips, accommodations, etc. As in many e-commerce services where users, items, and preferences are involved, the use of a Recommender System facilitates the navigation of the marketplaces. One of the main challenges when productizing machine learning models (and in this case, Learning-to-Rank models) is the need of, not only consistent pre-processing transformations, but also input features maintaining a… 

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