{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:24:55Z","timestamp":1730265895600,"version":"3.28.0"},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/ijcnn.2019.8852311","type":"proceedings-article","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T03:44:32Z","timestamp":1569901472000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Gated Sequential Recommendation with Dynamic Memory Network"],"prefix":"10.1109","author":[{"given":"Yunxiao","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaxing","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weidong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","year":"2015","author":"ioffe","key":"ref38"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883037"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(98)00116-6"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-1001"},{"key":"ref30","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"kingma","key":"ref37"},{"key":"ref36","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/258"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767755"},{"key":"ref10","first-page":"1378","article-title":"Ask me anything: Dynamic memory networks for natural language processing","author":"kumar","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref11","first-page":"2397","article-title":"Dynamic memory networks for visual and textual question answering","author":"xiong","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref12","first-page":"1265","article-title":"An mdp-based recommender system","volume":"6","author":"shani","year":"2005","journal-title":"Journal of Machine Learning Research"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2914683"},{"key":"ref15","first-page":"403","article-title":"Learning hierarchical representation model for nextbas-ket recommendation","author":"wang","year":"2015","journal-title":"Proceedings of ACM SIGIR International Conference on Research and Development in Information Retrieval"},{"article-title":"Session-based recommendations with recurrent neural networks","year":"2015","author":"hidasi","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988452"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109877"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339643"},{"article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","year":"2014","author":"chung","key":"ref28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"article-title":"Highway networks","year":"2015","author":"srivastava","key":"ref27"},{"key":"ref3","first-page":"452","article-title":"Bpr: Bayesian personalized ranking from implicit feedback","author":"rendle","year":"2009","journal-title":"Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence"},{"article-title":"Attention-based mixture density recurrent networks for history-based recommendation","year":"2017","author":"wang","key":"ref6"},{"key":"ref29","article-title":"Deep neural architecture for news recommendation","author":"kumar","year":"2017","journal-title":"Working Notes of the 8th International Conference of the CLEF Initiative Dublin Ireland CEUR Workshop Proceedings"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133005"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159668"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132926"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1160"},{"article-title":"Memory networks","year":"0","author":"weston","key":"ref9"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2365952.2365979"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/DSC.2017.15"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2507157.2507215"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-6805-8_9"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-51814-5_23"},{"key":"ref26","first-page":"2440","article-title":"End-to-end memory networks","author":"sukhbaatar","year":"2015","journal-title":"Advances in neural information processing systems"},{"article-title":"Neural turing machines","year":"2014","author":"graves","key":"ref25"}],"event":{"name":"2019 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2019,7,14]]},"location":"Budapest, Hungary","end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8840768\/8851681\/08852311.pdf?arnumber=8852311","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:53:51Z","timestamp":1658094831000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8852311\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2019.8852311","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}