%0 Conference Paper %1 Hidasi:2018kg %A Hidasi, Balázs %A Karatzoglou, Alexandros %B Proceedings of the 27th ACM International Conference on Information and Knowledge Management %C New York, NY, USA %D 2018 %I ACM %K imported %P 843--852 %R 10.1145/3269206.3271761 %T Recurrent Neural Networks with Top-k Gains for Session-based Recommendations %U http://doi.acm.org/10.1145/3269206.3271761 %@ 978-1-4503-6014-2

@inproceedings{Hidasi:2018kg, acmid = {3271761}, added-at = {2019-05-21T10:10:49.000+0200}, address = {New York, NY, USA}, author = {Hidasi, Bal\'{a}zs and Karatzoglou, Alexandros}, biburl = {https://www.bibsonomy.org/bibtex/2b2b3b1a7941913bcdf0fdbe0e0f8f806/sxkdz}, booktitle = {Proceedings of the 27th ACM International Conference on Information and Knowledge Management}, doi = {10.1145/3269206.3271761}, interhash = {c3850c976925a31114ed613994613826}, intrahash = {b2b3b1a7941913bcdf0fdbe0e0f8f806}, isbn = {978-1-4503-6014-2}, keywords = {imported}, location = {Torino, Italy}, numpages = {10}, pages = {843--852}, publisher = {ACM}, series = {CIKM '18}, timestamp = {2019-05-21T10:10:49.000+0200}, title = {Recurrent Neural Networks with Top-k Gains for Session-based Recommendations}, url = {http://doi.acm.org/10.1145/3269206.3271761}, year = 2018 }