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Forecasting User Interests Through Topic Tag Predictions in Online Health Communities. (arXiv:2211.02789v1 [cs.LG])
Nov. 8, 2022, 2:11 a.m. | Amogh Subbakrishna Adishesha, Lily Jakielaszek, Fariha Azhar, Peixuan Zhang, Vasant Honavar, Fenglong Ma, Chandra Belani, Prasenjit Mitra, Sharon Xiao
cs.LG updates on arXiv.org arxiv.org
The increasing reliance on online communities for healthcare information by
patients and caregivers has led to the increase in the spread of
misinformation, or subjective, anecdotal and inaccurate or non-specific
recommendations, which, if acted on, could cause serious harm to the patients.
Hence, there is an urgent need to connect users with accurate and tailored
health information in a timely manner to prevent such harm. This paper proposes
an innovative approach to suggesting reliable information to participants in
online communities …
arxiv communities forecasting health predictions user interests
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