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Research and Application of Personalized Modeling Based on Individual Interest in Mining

Author

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  • Baocheng Huang
  • Guang Yu

Abstract

Weibo services, provided by the service providers, is simple and changeless. The research based on the content of microblog reflects the user’s personalized features. The method has important significance to improve user satisfaction and expand the scale of users. First, the interest classification problem called multiclass classification algorithm is proposed based on improving support vector machine of binary tree. Second, an improved model of mixed interest based on implicit feedback is proposed. This method is based on the shortcomings of the establishment of the interest model and the drift strategy in update phase among existing users. The improved model is applied to the user modeling of personalization, improving the authenticity and accuracy of the personalized modeling.

Suggested Citation

  • Baocheng Huang & Guang Yu, 2014. "Research and Application of Personalized Modeling Based on Individual Interest in Mining," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
    • Handle: RePEc:wly:jnlaaa:v:2014:y:2014:i:1:n:514295
    DOI: 10.1155/2014/514295
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    References listed on IDEAS

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    1. Shen Yin & Guang Wang & Xu Yang, 2014. "Robust PLS approach for KPI-related prediction and diagnosis against outliers and missing data," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(7), pages 1375-1382, July.
    2. Shen Yin & Steven Ding & Adel Abandan Sari & Haiyang Hao, 2013. "Data-driven monitoring for stochastic systems and its application on batch process," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(7), pages 1366-1376.
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    Cited by:

    1. E. Ghazizadeh & Z. S. Shams Dolatabadi & R. Khaleghparast & M. Zamani & A. A. Manaf & M. S. Abdullah, 2014. "Secure OpenID Authentication Model by Using Trusted Computing," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).

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