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ranking's Introduction

Ranking of long tail queris

This is repo for task in joint CMC MSU and Mail.ru Group school of data analysis "Technosphere". Its aim was to implement algorithms of higher-level ranking in search systems. This algorithm uses CTR click model and other behavioral features in combination with various text features to improve the performance of LightGBM ranker. For evaluating an NDCG@5 metric is used.

To run the code you should:

  • Run java code in src folder
  • Run code in jupyter notebook in folder ipynb

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