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Research and Application of Personalized Modeling Based on Individual Interest in Mining
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-05
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Huang, Baocheng& Yu, Guang. 2014. Research and Application of Personalized Modeling Based on Individual Interest in Mining. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1014142
Modern Language Association (MLA)
Huang, Baocheng& Yu, Guang. Research and Application of Personalized Modeling Based on Individual Interest in Mining. Abstract and Applied Analysis No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1014142
American Medical Association (AMA)
Huang, Baocheng& Yu, Guang. Research and Application of Personalized Modeling Based on Individual Interest in Mining. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1014142
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1014142