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[null,"1.","Record Nr.",null,"UNINA9910735601103321"]
[null,null,"Autore",null,"Chen Hsin-Hsi"]
[null,null,"Titolo",null,"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval / / Hsin-Hsi Chen"]
[null,null,"Pubbl/distr/stampa",null,"New York, New York : , : Association for Computing Machinery, , 2023"]
[null,null,"Descrizione fisica",null,"1 online resource (3567 pages)"]
[null,null,"Disciplina",null,"004"]
[null,null,"Soggetti",null,"Computer science"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Welcome to the 46th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), taking place in Taipei, Taiwan, from July 23-27, 2023. As the premier scientific conference in the expansive field of information retrieval, SIGIR 2023 is thoughtfully organized as a hybrid event in the aftermath of the COVID-19 pandemic. While we strongly advocate for in-person participation, we also offer virtual attendance options. This arrangement not only contributes to reducing carbon footprints but also mitigates travel complexities for individuals from certain regions. Furthermore, this edition sets a significant milestone not only for its traditional and innovative tracks, but also as a response to the SIGIR Executive Committee's prompt to actively integrate sustainable development considerations into its organization and implementation. In a pioneering attempt to incorporate the theme of sustainability, SIGIR 2023 is carrying out a carbon emissions survey, hoping it can serve as a reference for subsequent conferences."]