Effective Healthcare Advertising Using Latent Dirichlet Allocation and Inference Engine
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  • 作者:Yen-Chiu Li (19)
    Chien Chin Chen (19)

    19. Department of Information Management
    ; National Taiwan University ; No.1 ; Sec. 4 ; Roosevelt Rd. ; Taipei City ; 10617 ; Taiwan (R.O.C.)
  • 关键词:semantic analysis ; knowledge base ; advertising
  • 刊名:Lecture Notes in Computer Science
  • 出版年:2015
  • 出版时间:2015
  • 年:2015
  • 卷:9022
  • 期:1
  • 页码:672-677
  • 全文大小:441 KB
  • 参考文献:1. Blei, D.M., Ng, A.Y., Jordan, M.I. (2003) Latent dirichlet allocation. Journal of Machine Learning Research 3: pp. 993-1022
    2. Broder, A.Z., Ciccolo, P., Fontoura, M., Gabrilovich, E., Josifovski, V., Riedel, L. (2008) Search advertising using web relevance feedback. Proceedings of the 17th ACM Conference on Information and Knowledge Management. ACM, New York, pp. 1013-1022
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    7. Phuong, D.V., Phuong, T.M. (2012) A keyword-topic model for contextual advertising. Proceedings of the Third Symposium on Information and Communication Technology. ACM, New York, pp. 63-70
    8. Raghavan, H., Iyer, R. (2010) Probabilistic first pass retrieval for search advertising: from theory to practice. Proceedings of the 19th ACM International Conference on Information and Knowledge Management. ACM, New York, pp. 1019-1028
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  • 作者单位:Advances in Information Retrieval
  • 丛书名:978-3-319-16353-6
  • 刊物类别:Computer Science
  • 刊物主题:Artificial Intelligence and Robotics
    Computer Communication Networks
    Software Engineering
    Data Encryption
    Database Management
    Computation by Abstract Devices
    Algorithm Analysis and Problem Complexity
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1611-3349
文摘
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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