A Kind of Precision Recommendation Method for Massive Public Digital Cultural Resources: A Preliminary Report
In this paper, we give a preliminary report regarding a precision recommendation method for massive public digital cultural resources, which help people find the resources they are really interested in. We classify the public digital cultural resources and propose a precision recommendation framewor...
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Published in | 2016 IEEE Second International Conference on Multimedia Big Data (BigMM) pp. 56 - 59 |
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Main Authors | , , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.04.2016
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Subjects | |
Online Access | Get full text |
DOI | 10.1109/BigMM.2016.46 |
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Abstract | In this paper, we give a preliminary report regarding a precision recommendation method for massive public digital cultural resources, which help people find the resources they are really interested in. We classify the public digital cultural resources and propose a precision recommendation framework based on big data technology. Finally, we introduce a precision recommendation method for public digital cultural resources. |
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AbstractList | In this paper, we give a preliminary report regarding a precision recommendation method for massive public digital cultural resources, which help people find the resources they are really interested in. We classify the public digital cultural resources and propose a precision recommendation framework based on big data technology. Finally, we introduce a precision recommendation method for public digital cultural resources. |
Author | Feng Jin Xiaoshuang Zhai Yi Yang Qiongwen Qiu Jian Wang Guigang Zhang Qi Yao |
Author_xml | – sequence: 1 surname: Xiaoshuang Zhai fullname: Xiaoshuang Zhai email: zhaixiaoshuang90@163.com organization: Dept. of Autom., Beijing Inst. of Technol., Beijing, China – sequence: 2 surname: Feng Jin fullname: Feng Jin email: jinfeng226@163.com organization: Dept. of Autom., Beijing Inst. of Technol., Beijing, China – sequence: 3 surname: Jian Wang fullname: Jian Wang email: jian.wang@ia.ac.cn organization: Inst. of Autom., Beijing, China – sequence: 4 surname: Yi Yang fullname: Yi Yang email: yangyi@ia.ac.cn organization: Inst. of Autom., Beijing, China – sequence: 5 surname: Qi Yao fullname: Qi Yao organization: Inst. of Autom., Beijing, China – sequence: 6 surname: Qiongwen Qiu fullname: Qiongwen Qiu organization: Dept. of Autom., Beijing Inst. of Technol., Beijing, China – sequence: 7 surname: Guigang Zhang fullname: Guigang Zhang email: guigang.zhang@ia.ac.cn organization: Inst. of Autom., Beijing, China |
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Snippet | In this paper, we give a preliminary report regarding a precision recommendation method for massive public digital cultural resources, which help people find... |
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SubjectTerms | Big data Collaboration Cultural differences Data models Engines Filtering Precision Recommendation Public Digital Cultural Resources Social network services |
Title | A Kind of Precision Recommendation Method for Massive Public Digital Cultural Resources: A Preliminary Report |
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