Recurrent Neural Networks with Top-k Gains for Session-based Recommendations.

@inproceedings{hidasi-2018-recurrent, author = {Bal\'{a}zs Hidasi and Alexandros Karatzoglou}, editor = {Alfredo Cuzzocrea and James Allan and Norman W. Paton and Divesh Srivastava and Rakesh Agrawal and Andrei Z. Broder and Mohammed J. Zaki and K. Sel\c{c}uk Candan and Alexandros Labrinidis and Assaf Schuster and Haixun Wang}, title = {{Recurrent Neural Networks with Top-k Gains for Session-based Recommendations}}, booktitle = {{Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018}}, pages = {843--852}, publisher = {ACM}, year = {2018}, url = {https://doi.org/10.1145/3269206.3271761}, doi = {https://doi.org/10.1145/3269206.3271761} }