1. nDCG example with build code(from kaggle notebook)
https://www.kaggle.com/wendykan/ndcg-example
2. DCG packages build up of scikit-learn tutorial
https://scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html
3. youtube 이론강의 @nDCG
https://www.youtube.com/watch?v=bCVPnnWqY8s&feature=youtu.be&t=3765
4. expedia personalized sort competition(from kaggle) open code source: https://github.com/benhamner/ExpediaPersonalizedSortCompetition
benhamner/ExpediaPersonalizedSortCompetition
Transformation and benchmark code for Expedia's Personalized Sort Kaggle Competition - benhamner/ExpediaPersonalizedSortCompetition
github.com
5. google search key word: "NormalizedDiscountedCumulativeGain"
6. kaggle competition: airbnb new user bookings
(evaluation : ndcg k = 5)
https://www.kaggle.com/c/airbnb-recruiting-new-user-bookings/discussion/17624
Airbnb New User Bookings
Where will a new guest book their first travel experience?
www.kaggle.com
7. evaluation with ndcg python packages and code
https://www.geeksforgeeks.org/normalized-discounted-cumulative-gain-multilabel-ranking-metrics-ml/
Normalized Discounted Cumulative Gain - Multilabel Ranking Metrics | ML - GeeksforGeeks
A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.
www.geeksforgeeks.org
8. Ranking matrics builup code:
https://gist.github.com/bwhite/3726239
Ranking Metrics
Ranking Metrics. GitHub Gist: instantly share code, notes, and snippets.
gist.github.com
https://github.com/kmbnw/rank_metrics/blob/master/python/ndcg.py
kmbnw/rank_metrics
Metrics for evaluating ranking (e.g. NDCG). Contribute to kmbnw/rank_metrics development by creating an account on GitHub.
github.com