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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Bibliographic Details
Published in2016 IEEE Second International Conference on Multimedia Big Data (BigMM) pp. 56 - 59
Main Authors Xiaoshuang Zhai, Feng Jin, Jian Wang, Yi Yang, Qi Yao, Qiongwen Qiu, Guigang Zhang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2016
Subjects
Big data
Collaboration
Cultural differences
Data models
Engines
Filtering
Precision Recommendation
Public Digital Cultural Resources
Social network services
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DOI10.1109/BigMM.2016.46

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Summary: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.
DOI:10.1109/BigMM.2016.46