{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:28:28Z","timestamp":1740101308319,"version":"3.37.3"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,17]]},"DOI":"10.1109\/bigdata55660.2022.10021093","type":"proceedings-article","created":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T19:35:23Z","timestamp":1674761723000},"page":"770-775","source":"Crossref","is-referenced-by-count":0,"title":["Neighborhood Preserving Embedding via Capsules for Collaborative Filtering"],"prefix":"10.1109","author":[{"given":"Xuan","family":"Li","sequence":"first","affiliation":[{"name":"Tsinghua University,School of Software,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tsinghua University,School of Software,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1345448.1345465"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7637-6_2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1935826.1935877"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972825.35"},{"article-title":"Matrix completion on graphs","year":"2014","author":"Kalofolias","key":"ref6"},{"key":"ref7","first-page":"2107","article-title":"Collaborative filtering with graph information: Consistency and scalable methods","volume-title":"NeurIPS","author":"Rao"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401944"},{"key":"ref9","first-page":"82","article-title":"Local low-rank matrix approximation","volume-title":"ICML","author":"Lee"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10752"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988456"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/592"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3467023"},{"article-title":"On the difficulty of evaluating baselines: A study on recommender systems","year":"2019","author":"Rendle","key":"ref15"},{"key":"ref16","article-title":"Dynamic routing between capsules","volume":"abs\/1710.09829","author":"Sabour","year":"2017"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21735-7_6"},{"article-title":"Ladder capsule network","volume-title":"ICML","author":"Jeong","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1201.0490"},{"key":"ref20","first-page":"7","article-title":"Improved neighborhood-based collaborative filtering","volume-title":"KDD cup and workshop at the 13th ACM SIGKDD international conference on knowledge discovery and data mining","author":"Bell"},{"article-title":"Geometric matrix completion with recurrent multi-graph neural networks","volume-title":"NeurIPS","author":"Monti","key":"ref21"},{"article-title":"Graph convolutional matrix completion","year":"2017","author":"Berg","key":"ref22"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/447"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331267"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273596"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988453"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11884"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2740908.2742726"}],"event":{"name":"2022 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2022,12,17]]},"location":"Osaka, Japan","end":{"date-parts":[[2022,12,20]]}},"container-title":["2022 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10020192\/10020156\/10021093.pdf?arnumber=10021093","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T05:17:08Z","timestamp":1710393428000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10021093\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,17]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/bigdata55660.2022.10021093","relation":{},"subject":[],"published":{"date-parts":[[2022,12,17]]}}}