{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:05:49Z","timestamp":1740099949679,"version":"3.37.3"},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T00:00:00Z","timestamp":1607299200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T00:00:00Z","timestamp":1607299200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T00:00:00Z","timestamp":1607299200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National NSF of China","doi-asserted-by":"publisher","award":["U1636207"],"award-info":[{"award-number":["U1636207"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,7]]},"DOI":"10.1109\/asonam49781.2020.9381303","type":"proceedings-article","created":{"date-parts":[[2021,3,24]],"date-time":"2021-03-24T20:17:37Z","timestamp":1616617057000},"page":"494-501","source":"Crossref","is-referenced-by-count":0,"title":["Co-refining User and Item Representations with Feature-level Self-attention for Enhanced Recommendation"],"prefix":"10.1109","author":[{"given":"Zikai","family":"Guo","sequence":"first","affiliation":[]},{"given":"Deqing","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Baichuan","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Lyuxin","family":"Xue","sequence":"additional","affiliation":[]},{"given":"Yanghua","family":"Xiao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref38","DOI":"10.1145\/3292500.3330989"},{"doi-asserted-by":"publisher","key":"ref33","DOI":"10.1109\/TKDE.2020.3028705"},{"doi-asserted-by":"publisher","key":"ref32","DOI":"10.1145\/3219819.3219823"},{"doi-asserted-by":"publisher","key":"ref31","DOI":"10.1145\/3209978.3210017"},{"key":"ref30","article-title":"On the properties of neural machine translation: Encoder-decoder approaches","author":"kyunghyun","year":"2014","journal-title":"Computer Science"},{"doi-asserted-by":"publisher","key":"ref37","DOI":"10.1145\/3219819.3219965"},{"doi-asserted-by":"publisher","key":"ref36","DOI":"10.1145\/3097983.3098063"},{"doi-asserted-by":"publisher","key":"ref35","DOI":"10.1145\/2556195.2556259"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1109\/ICDM.2018.00187"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1145\/3240508.3240609"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.24963\/ijcai.2019\/600"},{"key":"ref12","article-title":"Atrank: An attention-based user behavior modeling framework for recommendation","author":"c","year":"0","journal-title":"Proc Of AAAI"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1145\/3038912.3052569"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1145\/2939672.2939673"},{"key":"ref15","article-title":"Batch normalization: Accelerating deep network","author":"ioffe","year":"0","journal-title":"Proc of ICML"},{"key":"ref16","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc of ICLR"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/ICDM.2010.127"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1145\/3341161.3342876"},{"key":"ref19","article-title":"Ripple network: Propagating user preferences on the knowledge graph for recommender systems","author":"hongwei","year":"0","journal-title":"Proc of CIKM"},{"key":"ref28","article-title":"A hybrid collaborative filtering model with deep structure for recommender systems","author":"dong","year":"0","journal-title":"Proc Of AAAI"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1109\/TKDE.2018.2831682"},{"key":"ref27","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"JMLR"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1145\/2911451.2914683"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1007\/978-3-030-18590-9_71"},{"key":"ref29","article-title":"Session-based recommendations with recurrent neural networks","author":"hidasi","year":"0","journal-title":"Proc of ICLR"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1145\/3178876.3186175"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/ICDM.2018.00035"},{"key":"ref7","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Proc of NIPS"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1145\/3077136.3080777"},{"year":"2018","author":"zhang","journal-title":"Next item recommendation with self-attention","key":"ref9"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.24963\/ijcai.2017\/435"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1145\/582415.582418"},{"year":"2015","author":"bahdanau","journal-title":"Neural machine translation by jointly learning to align and translate","key":"ref22"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/CVPR.2015.7298935"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1145\/2740908.2742726"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1145\/3077136.3080797"},{"key":"ref26","article-title":"Deep content-based music recommendation","author":"den oord","year":"0","journal-title":"Proc of NIPS"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.24963\/ijcai.2017\/447"}],"event":{"name":"2020 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","start":{"date-parts":[[2020,12,7]]},"location":"The Hague, Netherlands","end":{"date-parts":[[2020,12,10]]}},"container-title":["2020 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9381192\/9381291\/09381303.pdf?arnumber=9381303","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:57:01Z","timestamp":1656345421000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9381303\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,7]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/asonam49781.2020.9381303","relation":{},"subject":[],"published":{"date-parts":[[2020,12,7]]}}}