{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T11:18:21Z","timestamp":1768994301226,"version":"3.49.0"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U20A20173"],"award-info":[{"award-number":["U20A20173"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62002088"],"award-info":[{"award-number":["62002088"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004731","name":"Natural Science Foundation of Zhejiang Province","doi-asserted-by":"publisher","award":["LY22F020009"],"award-info":[{"award-number":["LY22F020009"]}],"id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["III-1763325"],"award-info":[{"award-number":["III-1763325"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["III-1909323"],"award-info":[{"award-number":["III-1909323"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["III-2106758"],"award-info":[{"award-number":["III-2106758"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["SaTC-1930941"],"award-info":[{"award-number":["SaTC-1930941"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2023,9,1]]},"DOI":"10.1109\/tkde.2023.3239169","type":"journal-article","created":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T19:49:50Z","timestamp":1674503390000},"page":"9407-9420","source":"Crossref","is-referenced-by-count":1,"title":["Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0003-1607-5771","authenticated-orcid":false,"given":"Tingting","family":"Liang","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Congying","family":"Xia","sequence":"additional","affiliation":[{"name":"Salesforce AI Research, Palo Alto, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoran","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Software Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziqiang","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0001-7565-4111","authenticated-orcid":false,"given":"Yuyu","family":"Yin","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0002-3787-8832","authenticated-orcid":false,"given":"Liang","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0002-3491-5968","authenticated-orcid":false,"given":"Philip S.","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Illinois, Chicago, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330859"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_46"},{"key":"ref12","first-page":"2255","article-title":"Few-shot learning through an information retrieval lens","author":"triantafillou","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref34","article-title":"A new meta-baseline for few-shot learning","author":"chen","year":"2020"},{"key":"ref15","first-page":"4077","article-title":"Prototypical networks for few-shot learning","author":"snell","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref37","first-page":"1842","article-title":"Meta-learning with memory-augmented neural networks","author":"santoro","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403207"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1173"},{"key":"ref31","article-title":"Few-shot learning with metric-agnostic conditional embeddings","author":"hilliard","year":"2018"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3386252"},{"key":"ref11","first-page":"3630","article-title":"Matching networks for one shot learning","author":"vinyals","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-011-9236-8"},{"key":"ref10","article-title":"Optimization as a model for few-shot learning","author":"ravi","year":"2016","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2000.855856"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2507157.2507163"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018665"},{"key":"ref17","article-title":"Memory networks","author":"weston","year":"2014"},{"key":"ref39","first-page":"2554","article-title":"Meta networks","author":"munkhdalai","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref16","article-title":"Attention is all you need","author":"vaswani","year":"2017"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01154"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883037"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331313"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186145"},{"key":"ref26","first-page":"993","article-title":"Latent dirichlet allocation","volume":"3","author":"blei","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2897586"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109890"},{"key":"ref42","first-page":"6904","article-title":"A meta-learning perspective on cold-start recommendations for items","author":"vartak","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3379994"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1155\/2009\/421425"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3298988"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"594","DOI":"10.1109\/TPAMI.2006.79","article-title":"One-shot learning of object categories","volume":"28","author":"li","year":"2006","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8715"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331216"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186070"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330906"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109878"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2645710.2645728"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3158369"},{"key":"ref40","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"finn","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/ieeexplore.ieee.org\/ielam\/69\/10210449\/10024764-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/http\/xplorestaging.ieee.org\/ielx7\/69\/10210449\/10024764.pdf?arnumber=10024764","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,28]],"date-time":"2023-08-28T18:05:43Z","timestamp":1693245943000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/ieeexplore.ieee.org\/document\/10024764\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,1]]},"references-count":42,"journal-issue":{"issue":"9"},"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1109\/tkde.2023.3239169","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,1]]}}}