Abstract
The growing access to healthcare websites has aroused the interest of designing a specific advertising system focusing on healthcare products. In this paper, we develop an advertising method which analyzes the messages posted by users on a healthcare website. The method integrates semantic analysis with an inference engine for effective healthcare advertising. Based on our experiment results, healthcare advertising systems could be enhanced by using the domain-specific knowledge to augment the content of user messages and ads.
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Li, YC., Chen, C.C. (2015). Effective Healthcare Advertising Using Latent Dirichlet Allocation and Inference Engine. In: Hanbury, A., Kazai, G., Rauber, A., Fuhr, N. (eds) Advances in Information Retrieval. ECIR 2015. Lecture Notes in Computer Science, vol 9022. Springer, Cham. https://doi.org/10.1007/978-3-319-16354-3_74
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DOI: https://doi.org/10.1007/978-3-319-16354-3_74
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16353-6
Online ISBN: 978-3-319-16354-3
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