%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 ag:reco app:reco deep_learning evaluation from:dallmann information_retrieval myown recommender research:sequential selected
%R 10.1145/3460231.3475943
%T A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models
@inproceedings{dallmann2021study,
added-at = {2021-07-28T03:23:24.000+0200},
author = {Dallmann, Alexander and Zoller, Daniel and Hotho, Andreas},
biburl = {https://www.bibsonomy.org/bibtex/223f589b27e22018936753bb64b33971d/dmir},
booktitle = {Fifteenth {ACM} Conference on Recommender Systems},
doi = {10.1145/3460231.3475943},
interhash = {7fa3b87aabd8d36a6b76317d2a407e4d},
intrahash = {23f589b27e22018936753bb64b33971d},
keywords = {ag:reco app:reco deep_learning evaluation from:dallmann information_retrieval myown recommender research:sequential selected},
month = sep,
publisher = {{ACM}},
timestamp = {2024-01-18T10:31:52.000+0100},
title = {A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models},
year = 2021
}