Using Principal Component Analysis to Better Understand Behavioral Measures and their Effects.

@inproceedings{arguello-2019-using, author = {Jaime Arguello and Anita Crescenzi}, editor = {Yi Fang and Yi Zhang and James Allan and Krisztian Balog and Ben Carterette and Jiafeng Guo}, title = {{Using Principal Component Analysis to Better Understand Behavioral Measures and their Effects}}, booktitle = {{Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019}}, pages = {177--184}, publisher = {ACM}, year = {2019}, url = {https://doi.org/10.1145/3341981.3344222}, doi = {https://doi.org/10.1145/3341981.3344222} }