%0 Conference Paper
%1 dallmann2021study
%A Dallmann, Alexander
%A Zoller, Daniel
%A Hotho, Andreas
%B Fifteenth ACM Conference on Recommender Systems
%D 2021
%I ACM
%K deep_learning evaluation information_retrieval myown recommender_systems research:recommender research:recommender:selected
%R 10.1145/3460231.3475943
%T A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models
@inproceedings{dallmann2021study,
added-at = {2021-07-27T21:09:48.000+0200},
author = {Dallmann, Alexander and Zoller, Daniel and Hotho, Andreas},
biburl = {https://www.bibsonomy.org/bibtex/223f589b27e22018936753bb64b33971d/dallmann},
booktitle = {Fifteenth {ACM} Conference on Recommender Systems},
doi = {10.1145/3460231.3475943},
interhash = {7fa3b87aabd8d36a6b76317d2a407e4d},
intrahash = {23f589b27e22018936753bb64b33971d},
keywords = {deep_learning evaluation information_retrieval myown recommender_systems research:recommender research:recommender:selected},
month = sep,
publisher = {{ACM}},
timestamp = {2021-07-27T21:12:08.000+0200},
title = {A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models},
year = 2021
}