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 |
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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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| _version_ | 1841539875451437056 |
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| author | Chun-hua JU Fu-guang BAO |
| author_facet | Chun-hua JU Fu-guang BAO |
| author_sort | Chun-hua JU |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-aa91e902ecde4efdad21dc77ed7ca269 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2012-09-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-aa91e902ecde4efdad21dc77ed7ca2692025-01-14T06:33:41ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-09-0133172759667147Research on a multidimensional personalized recommendation model based on a situation and characteristics of the usersChun-hua JUFu-guang BAOThe 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.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.z1.003/recommend modelpersonalizedmultidimensionalsituationfeature selection |
| spellingShingle | Chun-hua JU Fu-guang BAO Research on a multidimensional personalized recommendation model based on a situation and characteristics of the users Tongxin xuebao recommend model personalized multidimensional situation feature selection |
| title | Research on a multidimensional personalized recommendation model based on a situation and characteristics of the users |
| title_full | Research on a multidimensional personalized recommendation model based on a situation and characteristics of the users |
| title_fullStr | Research on a multidimensional personalized recommendation model based on a situation and characteristics of the users |
| title_full_unstemmed | Research on a multidimensional personalized recommendation model based on a situation and characteristics of the users |
| title_short | Research on a multidimensional personalized recommendation model based on a situation and characteristics of the users |
| title_sort | research on a multidimensional personalized recommendation model based on a situation and characteristics of the users |
| topic | recommend model personalized multidimensional situation feature selection |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.z1.003/ |
| work_keys_str_mv | AT chunhuaju researchonamultidimensionalpersonalizedrecommendationmodelbasedonasituationandcharacteristicsoftheusers AT fuguangbao researchonamultidimensionalpersonalizedrecommendationmodelbasedonasituationandcharacteristicsoftheusers |