Best Practices for Top-N Recommendation Evaluation: Candidate Set Sampling and Statistical Inference Techniques.

Ngozi Ihemelandu


Anthology ID:DBLP:conf/cikm/Ihemelandu22
Volume:Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
Year:2022
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:5120-5123
URL:https://doi.org/10.1145/3511808.3557816
DOI:https://doi.org/10.1145/3511808.3557816
DBLP:conf/cikm/Ihemelandu22
BibTeX:
@inproceedings{ihemelandu-2022-best, author = {Ngozi Ihemelandu}, editor = {Mohammad Al Hasan and Li Xiong}, title = {{Best Practices for Top-N Recommendation Evaluation: Candidate Set Sampling and Statistical Inference Techniques}}, booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}}, pages = {5120--5123}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3511808.3557816}, doi = {https://doi.org/10.1145/3511808.3557816} }