Abstract
Abstract Currently, with the rapid development and popularity of online social networks, social marketing is in the ascendant, while the lack of precision and personalization has become a prominent issue in current social marketing practices. A fundamental solution to this issue is how to accurately and comprehensively infer user interests. In our earlier research (Zhu et al., 2019), we constructed a user interest graph (UIG) model represented by a hierarchical tree structure with an exponential interest decay scheme. For this study, from a 2020 perspective, this research commentary provides some comments on this line of research in terms of four dimensions for inferring user interests: data acquisition, representation of user interests, construction and enhancement of a user interest profile, and evaluation of the constructed model. Finally, some challenges and opportunities in this domain are discussed for future work.
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