%0 Conference Paper %1 hidasi2018recurrent %A Hidasi, Balázs %A Karatzoglou, Alexandros %B Proceedings of the 27th ACM International Conference on Information and Knowledge Management %D 2018 %I ACM %K gru4rec+ %R 10.1145/3269206.3271761 %T Recurrent Neural Networks with Top-k Gains for Session-based Recommendations %U https://doi.org/10.1145%2F3269206.3271761

@inproceedings{hidasi2018recurrent, added-at = {2021-05-04T23:12:19.000+0200}, author = {Hidasi, Bal{\'{a}}zs and Karatzoglou, Alexandros}, biburl = {https://www.bibsonomy.org/bibtex/2b2b3b1a7941913bcdf0fdbe0e0f8f806/nosebrain}, booktitle = {Proceedings of the 27th {ACM} International Conference on Information and Knowledge Management}, description = {Recurrent Neural Networks with Top-k Gains for Session-based Recommendations | Proceedings of the 27th ACM International Conference on Information and Knowledge Management}, doi = {10.1145/3269206.3271761}, interhash = {c3850c976925a31114ed613994613826}, intrahash = {b2b3b1a7941913bcdf0fdbe0e0f8f806}, keywords = {gru4rec+}, month = oct, publisher = {{ACM}}, timestamp = {2021-05-04T23:12:19.000+0200}, title = {Recurrent Neural Networks with Top-k Gains for Session-based Recommendations}, url = {https://doi.org/10.1145%2F3269206.3271761}, year = 2018 }