Abstract:Objectives A thread is the most common information aggregation unit in a health forum, so effective thread recommendation is critical for improving the user experience in an online health community (OHC). This paper proposes an OHC thread recommendation method based on topic model and network embedding, which recommends threads to users by training a classifier and predicting user reply behavior.
Methods The proposed model uses the network structure to describe valid information in OHCs and treats a … Show more
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