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Volumn , Issue , 2012, Pages 330-333

Improving the collaborative filtering recommender system by using GPU

Author keywords

accuracy; efficiency; GPU; recommender systemt

Indexed keywords

ACCURACY; COLLABORATIVE FILTERING; GPU; RECOMMENDATION ACCURACY; RECOMMENDER SYSTEMT;

EID: 84872312024     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CyberC.2012.62     Document Type: Conference Paper
Times cited : (7)

References (15)
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    • Hu Changping. Extension and Realization of Personalized Online Cooperative Recommendation service, Journal of bibary science in China ,Vol 34 No 177,2008.
    • (2008) Journal of Bibary Science in China , vol.34 , Issue.177
    • Hu, C.1
  • 8
    • 84872361528 scopus 로고    scopus 로고
    • Improved collaboraint filtering recommendation algorithm
    • Fangxian, improved collaboraint filtering recommendation algorithm, Engineering and Application, 2011,47(8):72-75.
    • (2011) Engineering and Application , vol.47 , Issue.8 , pp. 72-75
    • Fang, X.1
  • 11
  • 12
    • 84872304457 scopus 로고    scopus 로고
    • Comparision and analysis of matrix multiplication on GPU and CPU
    • Liu jinfeng,Comparision and analysis of matrix multiplication on GPU and CPU. Computer Engineering and Application, 2011, 47(19(:9-11.
    • (2011) Computer Engineering and Application , vol.47 , Issue.19 , pp. 9-11
    • Liu, J.1
  • 14
    • 84872341573 scopus 로고    scopus 로고
    • Rearch on GPU based multiple data streams correlations parallel cimputing
    • Zhou Yong, Rearch on GPU based multiple data streams correlations parallel cimputing,Application Research of Computers, 2010.
    • (2010) Application Research of Computers
    • Zhou, Y.1
  • 15
    • 84872343992 scopus 로고    scopus 로고
    • www.grouplens.com.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.