Empirical Analysis of Impact of Query-Specific Customization of nDCG: A Case-Study with Learning-to-Rank Methods.

@inproceedings{karmaker-2020-empirical, author = {Shubhra (Santu) K. Karmaker and Parikshit Sondhi and ChengXiang Zhai}, editor = {Mathieu d'Aquin and Stefan Dietze and Claudia Hauff and Edward Curry and Philippe Cudr\'{e}-Mauroux}, title = {{Empirical Analysis of Impact of Query-Specific Customization of nDCG: A Case-Study with Learning-to-Rank Methods}}, booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}}, pages = {3281--3284}, publisher = {ACM}, year = {2020}, url = {https://doi.org/10.1145/3340531.3417454}, doi = {https://doi.org/10.1145/3340531.3417454} }