Multimedia Recommendation
Due to the rapid growth of online multimedia information, the problem of information overload has become more and more serious in recent decades. To address this problem, various multimedia recommendation technologies have been developed by different research communities (e.g., multimedia systems, i...
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2012
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sg-smu-ink.sis_research-25522012-08-27T10:00:41Z Multimedia Recommendation SHEN, Jialie WANG, Meng YAN, Shuicheng CUI, Peng Due to the rapid growth of online multimedia information, the problem of information overload has become more and more serious in recent decades. To address this problem, various multimedia recommendation technologies have been developed by different research communities (e.g., multimedia systems, information retrieval, and machine learning). Meanwhile, many commercial web systems (e.g., Flick, Youtube, and Last.fm) have successfully applied recommendation techniques to provide users personalized multimedia content and services in a convenient and flexible way. Half-day tutorial. 2012-10-01T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/1553 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Numerical Analysis and Scientific Computing |
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Singapore Management University |
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SMU Libraries |
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Asia |
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Singapore Singapore |
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SMU Libraries |
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InK@SMU |
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English |
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Databases and Information Systems Numerical Analysis and Scientific Computing |
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Databases and Information Systems Numerical Analysis and Scientific Computing SHEN, Jialie WANG, Meng YAN, Shuicheng CUI, Peng Multimedia Recommendation |
| description |
Due to the rapid growth of online multimedia information, the problem of information overload has become more and more serious in recent decades. To address this problem, various multimedia recommendation technologies have been developed by different research communities (e.g., multimedia systems, information retrieval, and machine learning). Meanwhile, many commercial web systems (e.g., Flick, Youtube, and Last.fm) have successfully applied recommendation techniques to provide users personalized multimedia content and services in a convenient and flexible way. Half-day tutorial. |
| format |
text |
| author |
SHEN, Jialie WANG, Meng YAN, Shuicheng CUI, Peng |
| author_facet |
SHEN, Jialie WANG, Meng YAN, Shuicheng CUI, Peng |
| author_sort |
SHEN, Jialie |
| title |
Multimedia Recommendation |
| title_short |
Multimedia Recommendation |
| title_full |
Multimedia Recommendation |
| title_fullStr |
Multimedia Recommendation |
| title_full_unstemmed |
Multimedia Recommendation |
| title_sort |
multimedia recommendation |
| publisher |
Institutional Knowledge at Singapore Management University |
| publishDate |
2012 |
| url |
https://ink.library.smu.edu.sg/sis_research/1553 |
| _version_ |
1770571297791672320 |