%0 Journal Article %1 Zhu2017 %A Zhu, Yu %A Li, Hao %A Liao, Yikang %A Wang, Beidou %A Guan, Ziyu %A Liu, Haifeng %A Cai, Deng %D 2017 %K available deep_learning from:dallmann lstm recommendation thema:ba thema:time_lstm time %P 3602--3608 %T What to Do Next: Modeling User Behaviors by Time-LSTM. %U https://www.ijcai.org/proceedings/2017/504 %X Electronic proceedings of IJCAI 2017

@article{Zhu2017, abstract = {Electronic proceedings of IJCAI 2017}, added-at = {2022-04-11T10:31:53.000+0200}, author = {Zhu, Yu and Li, Hao and Liao, Yikang and Wang, Beidou and Guan, Ziyu and Liu, Haifeng and Cai, Deng}, biburl = {https://www.bibsonomy.org/bibtex/2fc911e08bf5a537f7cc491e7c76379a5/uw_ss22_ml}, file = {:Zhu2017-What to do Next Modeling User Behaviours by Time-LSTM.pdf:PDF}, interhash = {580ac03846bdd5797bbe310629bd00a8}, intrahash = {fc911e08bf5a537f7cc491e7c76379a5}, keywords = {available deep_learning from:dallmann lstm recommendation thema:ba thema:time_lstm time}, pages = {3602--3608}, shorttitle = {What to {Do} {Next}}, timestamp = {2022-04-19T16:43:40.000+0200}, title = {What to Do Next: Modeling User Behaviors by Time-LSTM.}, url = {https://www.ijcai.org/proceedings/2017/504}, urldate = {2022-02-17}, year = 2017 }