Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 conf/pkdd/SuHCW22
%A Su, Ting-Ting
%A He, Zhen-Yu
%A Chen, Man-Sheng
%A Wang, Chang-Dong
%B ECML/PKDD (1)
%D 2022
%E Amini, Massih-Reza
%E Canu, Stéphane
%E Fischer, Asja
%E Guns, Tias
%E Novak, Petra Kralj
%E Tsoumakas, Grigorios
%I Springer
%K dblp
%P 574-589
%T Basket Booster for Prototype-based Contrastive Learning in Next Basket Recommendation.
%U http://dblp.uni-trier.de/db/conf/pkdd/pkdd2022-1.html#SuHCW22
%V 13713
%@ 978-3-031-26387-3
@inproceedings{conf/pkdd/SuHCW22,
added-at = {2024-02-05T00:00:00.000+0100},
author = {Su, Ting-Ting and He, Zhen-Yu and Chen, Man-Sheng and Wang, Chang-Dong},
biburl = {https://www.bibsonomy.org/bibtex/28c833019f1a831923db3c88f3747690b/dblp},
booktitle = {ECML/PKDD (1)},
crossref = {conf/pkdd/2022-1},
editor = {Amini, Massih-Reza and Canu, Stéphane and Fischer, Asja and Guns, Tias and Novak, Petra Kralj and Tsoumakas, Grigorios},
ee = {https://doi.org/10.1007/978-3-031-26387-3_35},
interhash = {500a65fe508079f95887eabeb982a65c},
intrahash = {8c833019f1a831923db3c88f3747690b},
isbn = {978-3-031-26387-3},
keywords = {dblp},
pages = {574-589},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2024-04-09T09:50:32.000+0200},
title = {Basket Booster for Prototype-based Contrastive Learning in Next Basket Recommendation.},
url = {http://dblp.uni-trier.de/db/conf/pkdd/pkdd2022-1.html#SuHCW22},
volume = 13713,
year = 2022
}