Research on a multidimensional personalized recommendation model based on a situation and characteristics of the users
The accuracy of personalized recommendation was the key factor of Internet application to success.Because of the deficiency of the traditional recommend model,a multidimensional personalized recommendation model based on a special situation and main characteristics of the users was proposed.This mod...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2012-09-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.z1.003/ |
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| Summary: | The accuracy of personalized recommendation was the key factor of Internet application to success.Because of the deficiency of the traditional recommend model,a multidimensional personalized recommendation model based on a special situation and main characteristics of the users was proposed.This model could make full use of regional culture background,field scene,characteristics of the users and so on,avoided the disadvantages of traditional algorithm,put the user's overall characteristics as a single vector,and overcomed the problem of sparse data.The experimental results show that the quality of this recommendation model is better than traditional collaborative recommend model with the more specific items match user interests. |
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| ISSN: | 1000-436X |