{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T08:17:15Z","timestamp":1771229835701,"version":"3.50.1"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"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":[[2022,5,23]]},"DOI":"10.1109\/icassp43922.2022.9747689","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T15:50:34Z","timestamp":1651074634000},"page":"7832-7836","source":"Crossref","is-referenced-by-count":3,"title":["Incremental User Embedding Modeling for Personalized Text Classification"],"prefix":"10.1109","author":[{"given":"Ruixue","family":"Lian","sequence":"first","affiliation":[{"name":"University of Wisconsin-Madison,Dept. of Electrical and Computer Engineering"}]},{"given":"Che-Wei","family":"Huang","sequence":"additional","affiliation":[{"name":"Amazon Alexa"}]},{"given":"Yuqing","family":"Tang","sequence":"additional","affiliation":[{"name":"Amazon Alexa"}]},{"given":"Qilong","family":"Gu","sequence":"additional","affiliation":[{"name":"Amazon Alexa"}]},{"given":"Chengyuan","family":"Ma","sequence":"additional","affiliation":[{"name":"Amazon Alexa"}]},{"given":"Chenlei","family":"Guo","sequence":"additional","affiliation":[{"name":"Amazon Alexa"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015941"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.06.084"},{"key":"ref12","first-page":"107453","article-title":"Fildne: A framework for incremental learning of dynamic networks embeddings","author":"bielak","year":"2021","journal-title":"Knowledge-Based Systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-2022"},{"key":"ref14","article-title":"Incremental embedding learning via zero-shot translation","author":"wei","year":"2020"},{"key":"ref15","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2019","journal-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies"},{"key":"ref16","article-title":"Reddit comments dumps","author":"baumgartner","year":"2019"},{"key":"ref17","article-title":"Huggingface’s transformers: State-of-the-art natural language processing","author":"wolf","year":"2019"},{"key":"ref4","article-title":"Federated user representation learning","author":"bui","year":"2019"},{"key":"ref3","article-title":"Learning user embeddings from tem-poral social media data: A survey","author":"hasan","year":"2021"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1205"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.157"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219885"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449843"},{"key":"ref2","article-title":"Consistent dialogue generation with self-supervised feature learning","author":"zhang","year":"2019"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1094"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"}],"event":{"name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Singapore, Singapore","start":{"date-parts":[[2022,5,23]]},"end":{"date-parts":[[2022,5,27]]}},"container-title":["ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9745891\/9746004\/09747689.pdf?arnumber=9747689","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T18:59:25Z","timestamp":1670266765000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9747689\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9747689","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}