{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T20:04:08Z","timestamp":1776110648539,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,7,6]],"date-time":"2022-07-06T00:00:00Z","timestamp":1657065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["xxj022019003"],"award-info":[{"award-number":["xxj022019003"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61902309, 61701391, and 61772407"],"award-info":[{"award-number":["61902309, 61701391, and 61772407"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2020M683496"],"award-info":[{"award-number":["2020M683496"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Postdoctoral Innovative Talents Support Program","award":["BX20190273"],"award-info":[{"award-number":["BX20190273"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,7,6]]},"DOI":"10.1145\/3477495.3531779","type":"proceedings-article","created":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T15:12:13Z","timestamp":1657206733000},"page":"1922-1926","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["PERD: Personalized Emoji Recommendation with Dynamic User Preference"],"prefix":"10.1145","author":[{"given":"Xuanzhi","family":"Zheng","sequence":"first","affiliation":[{"name":"Xi'an Jiaotong University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoshuai","family":"Zhao","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Zhu","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueming","family":"Qian","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,7,7]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Daniela G\u00eefu, and Diana Trandabat.","author":"Alexa Larisa","year":"2018","unstructured":"Larisa Alexa , Alina Beatrice Lorent , Daniela G\u00eefu, and Diana Trandabat. 2018 . The Dabblers at SemEval-2018 Task 2: Multilingual Emoji Prediction. In SemEval@NAACL-HLT. Association for Computational Linguistics , 405--409. Larisa Alexa, Alina Beatrice Lorent, Daniela G\u00eefu, and Diana Trandabat. 2018. The Dabblers at SemEval-2018 Task 2: Multilingual Emoji Prediction. In SemEval@NAACL-HLT. Association for Computational Linguistics, 405--409."},{"key":"e_1_3_2_2_2_1","volume-title":"Jos\u00e9 Camacho-Collados, Steven Schockaert, and Horacio Saggion.","author":"Barbieri Francesco","year":"2018","unstructured":"Francesco Barbieri , Luis Espinosa Anke , Jos\u00e9 Camacho-Collados, Steven Schockaert, and Horacio Saggion. 2018 . Interpretable Emoji Prediction via Label-Wise Attention LSTMs. In EMNLP. Association for Computational Linguistics , 4766--4771. Francesco Barbieri, Luis Espinosa Anke, Jos\u00e9 Camacho-Collados, Steven Schockaert, and Horacio Saggion. 2018. Interpretable Emoji Prediction via Label-Wise Attention LSTMs. In EMNLP. Association for Computational Linguistics, 4766--4771."},{"key":"e_1_3_2_2_3_1","volume-title":"Luis Espinosa Anke, and Horacio Saggion","author":"Barbieri Francesco","year":"2016","unstructured":"Francesco Barbieri , Luis Espinosa Anke, and Horacio Saggion . 2016 . Revealing Patterns of Twitter Emoji Usage in Barcelona and Madrid. In CCIA (Frontiers in Artificial Intelligence and Applications , Vol. 288). IOS Press, 239-- 244 . Francesco Barbieri, Luis Espinosa Anke, and Horacio Saggion. 2016. Revealing Patterns of Twitter Emoji Usage in Barcelona and Madrid. In CCIA (Frontiers in Artificial Intelligence and Applications, Vol. 288). IOS Press, 239--244."},{"key":"e_1_3_2_2_4_1","volume-title":"NAACL-HLT (2)","author":"Barbieri Francesco","unstructured":"Francesco Barbieri , Miguel Ballesteros , Francesco Ronzano , and Horacio Saggion . 2018. Multimodal Emoji Prediction . In NAACL-HLT (2) . Association for Computational Linguistics , 679--686. Francesco Barbieri, Miguel Ballesteros, Francesco Ronzano, and Horacio Saggion. 2018. Multimodal Emoji Prediction. In NAACL-HLT (2). Association for Computational Linguistics, 679--686."},{"key":"e_1_3_2_2_5_1","volume-title":"EACL (2)","author":"Barbieri Francesco","unstructured":"Francesco Barbieri , Miguel Ballesteros , and Horacio Saggion . 2017. Are Emojis Predictable? . In EACL (2) . Association for Computational Linguistics , 105--111. Francesco Barbieri, Miguel Ballesteros, and Horacio Saggion. 2017. Are Emojis Predictable?. In EACL (2). Association for Computational Linguistics, 105--111."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2021.3124365"},{"key":"e_1_3_2_2_7_1","volume-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT (1)","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT (1) . Association for Computational Linguistics , 4171--4186. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT (1). Association for Computational Linguistics, 4171--4186."},{"key":"e_1_3_2_2_8_1","volume-title":"Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm","author":"Felbo Bjarke","unstructured":"Bjarke Felbo , Alan Mislove , Anders S\u00f8gaard , Iyad Rahwan , and Sune Lehmann . 2017. Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm . In EMNLP. Association for Computational Linguistics , 1615--1625. Bjarke Felbo, Alan Mislove, Anders S\u00f8gaard, Iyad Rahwan, and Sune Lehmann. 2017. Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm. In EMNLP. Association for Computational Linguistics, 1615--1625."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"crossref","unstructured":"Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. In IJCAI. ijcai.org 1725--1731. Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. In IJCAI. ijcai.org 1725--1731.","DOI":"10.24963\/ijcai.2017\/239"},{"key":"e_1_3_2_2_10_1","volume-title":"Say it with feeling. New Scientist 234, 3131","author":"Heaven Douglas","year":"2017","unstructured":"Douglas Heaven . 2017. Say it with feeling. New Scientist 234, 3131 ( 2017 ), 43. https:\/\/doi.org\/10.1016\/S0262--4079(17)31225--3 10.1016\/S0262--4079(17)31225--3 Douglas Heaven. 2017. Say it with feeling. New Scientist 234, 3131 (2017), 43. https:\/\/doi.org\/10.1016\/S0262--4079(17)31225--3"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3373146"},{"key":"e_1_3_2_2_12_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba . 2015 . Adam : A Method for Stochastic Optimization. In ICLR (Poster) . Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In ICLR (Poster)."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108437"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2021.3075705"},{"key":"e_1_3_2_2_15_1","volume-title":"EMNLP (1)","author":"Ma Weicheng","unstructured":"Weicheng Ma , Ruibo Liu , LiliWang, and Soroush Vosoughi . 2020. Multi-resolution Annotations for Emoji Prediction . In EMNLP (1) . Association for Computational Linguistics , 6684--6694. Weicheng Ma, Ruibo Liu, LiliWang, and Soroush Vosoughi. 2020. Multi-resolution Annotations for Emoji Prediction. In EMNLP (1). Association for Computational Linguistics, 6684--6694."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106727"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2168752.2168771"},{"key":"e_1_3_2_2_18_1","unstructured":"Chuhan Wu Fangzhao Wu Sixing Wu Yongfeng Huang and Xing Xie. 2018. Tweet Emoji Prediction Using Hierarchical Model with Attention. In UbiComp\/ISWC Adjunct. ACM 1337--1344. Chuhan Wu Fangzhao Wu Sixing Wu Yongfeng Huang and Xing Xie. 2018. Tweet Emoji Prediction Using Hierarchical Model with Attention. In UbiComp\/ISWC Adjunct. ACM 1337--1344."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2966971"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"crossref","unstructured":"Peijun Zhao Jia Jia Yongsheng An Jie Liang Lexing Xie and Jiebo Luo. 2018. Analyzing and Predicting Emoji Usages in Social Media. In WWW (Companion Volume). ACM 327--334. Peijun Zhao Jia Jia Yongsheng An Jie Liang Lexing Xie and Jiebo Luo. 2018. Analyzing and Predicting Emoji Usages in Social Media. In WWW (Companion Volume). ACM 327--334.","DOI":"10.1145\/3184558.3186344"}],"event":{"name":"SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Madrid Spain","acronym":"SIGIR '22","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3477495.3531779","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3477495.3531779","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:10:25Z","timestamp":1750183825000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3477495.3531779"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,6]]},"references-count":20,"alternative-id":["10.1145\/3477495.3531779","10.1145\/3477495"],"URL":"https:\/\/doi.org\/10.1145\/3477495.3531779","relation":{},"subject":[],"published":{"date-parts":[[2022,7,6]]},"assertion":[{"value":"2022-07-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}