%0 Conference Paper %1 elkahky2015multiview %A Elkahky, Ali Mamdouh %A Song, Yang %A He, Xiaodong %B Proceedings of the 2018 World Wide Web Conference %D 2015 %E Gangemi, Aldo %E Leonardi, Stefano %E Panconesi, Alessandro %I ACM %K negative recommender sampling system %P 278-288 %R 10.1145/2736277.2741667 %T A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems. %@ 978-1-4503-3469-3

@inproceedings{elkahky2015multiview, added-at = {2021-04-29T19:17:20.000+0200}, author = {Elkahky, Ali Mamdouh and Song, Yang and He, Xiaodong}, biburl = {https://www.bibsonomy.org/bibtex/2cf02c170bf0568d91dbab133391cd38d/nosebrain}, booktitle = {Proceedings of the 2018 World Wide Web Conference}, crossref = {conf/www/2015}, doi = {10.1145/2736277.2741667}, editor = {Gangemi, Aldo and Leonardi, Stefano and Panconesi, Alessandro}, ee = {https://doi.org/10.1145/2736277.2741667}, interhash = {f68f8f320b0a447d2d0131c0d8da95f9}, intrahash = {cf02c170bf0568d91dbab133391cd38d}, isbn = {978-1-4503-3469-3}, keywords = {negative recommender sampling system}, pages = {278-288}, publisher = {ACM}, timestamp = {2021-04-29T19:19:38.000+0200}, title = {A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems.}, year = 2015 }