A Case Study on Recommender Systems in Online Conferences: Behavioral Analysis through A/B Testing
Author:
Affiliation:
1. Toyota Central R&D Labs., Inc.
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Link
https://www.jstage.jst.go.jp/article/transinf/E107.D/5/E107.D_2023DAP0008/_pdf
Reference30 articles.
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2. [2] T. Bousema, P. Selvaraj, A.A. Djimde, D. Yakar, B. Hagedorn, A. Pratt, D. Barret, K. Whitfield, and J.M. Cohen, “Reducing the carbon footprint of academic conferences: The example of the American Society of Tropical Medicine and Hygiene,” The American Journal of Tropical Medicine and Hygiene, vol.103, no.5, pp.1758-1761, 2020. 10.4269/ajtmh.20-1013
3. [3] S. Sarabipour, A. Khan, S. Seah, A.D. Mwakilili, F.N. Mumoki, P.J. Sáez, B. Schwessinger, H.J. Debat, and T. Mestrovic, “Evaluating features of scientific conferences: A call for improvements,” BioRxiv, April 2020. 10.1101/2020.04.02.022079
4. [4] A. Valenti, G. Fortuna, C. Barillari, E. Cannone, V. Boccuni, and S. Iavicoli, “The future of scientific conferences in the era of the COVID-19 pandemic: Critical analysis and future perspectives,” Industrial health, vol.59, no.5, pp.334-339, 2021. 10.2486/indhealth.2021-0102
5. [5] M.-H. Jang and E.-Y. Choi, “How will video conference fatigue affect participants of MICE in the with-COVID-19 era? Focusing on video Conference Qqality, social presence theory, and flow,” International Journal of Environmental Research and Public Health, vol.19, no.8, p.4601, 2022. 10.3390/ijerph19084601
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