Research and Application of Personalized Modeling Based on Individual Interest in Mining
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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2014/514295 |
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| _version_ | 1850163541049344000 |
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| author | Baocheng Huang Guang Yu |
| author_facet | Baocheng Huang Guang Yu |
| author_sort | Baocheng Huang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e8821820337c4e0f8c05b973f6510344 |
| institution | OA Journals |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-e8821820337c4e0f8c05b973f65103442025-08-20T02:22:15ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/514295514295Research and Application of Personalized Modeling Based on Individual Interest in MiningBaocheng Huang0Guang Yu1School of Management, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Management, Harbin Institute of Technology, Harbin 150001, ChinaWeibo 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.http://dx.doi.org/10.1155/2014/514295 |
| spellingShingle | Baocheng Huang Guang Yu Research and Application of Personalized Modeling Based on Individual Interest in Mining Abstract and Applied Analysis |
| title | Research and Application of Personalized Modeling Based on Individual Interest in Mining |
| title_full | Research and Application of Personalized Modeling Based on Individual Interest in Mining |
| title_fullStr | Research and Application of Personalized Modeling Based on Individual Interest in Mining |
| title_full_unstemmed | Research and Application of Personalized Modeling Based on Individual Interest in Mining |
| title_short | Research and Application of Personalized Modeling Based on Individual Interest in Mining |
| title_sort | research and application of personalized modeling based on individual interest in mining |
| url | http://dx.doi.org/10.1155/2014/514295 |
| work_keys_str_mv | AT baochenghuang researchandapplicationofpersonalizedmodelingbasedonindividualinterestinmining AT guangyu researchandapplicationofpersonalizedmodelingbasedonindividualinterestinmining |