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Volumn 7651 LNCS, Issue , 2012, Pages 552-566

Can social features help learning to rank YouTube videos?

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; FEATURE SELECTION ALGORITHM; LEARNING TO RANK; RETRIEVAL PERFORMANCE; VIDEO RETRIEVAL; VIDEO SHARING; YOUTUBE;

EID: 84869477543     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-35063-4_40     Document Type: Conference Paper
Times cited : (28)

References (19)
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  • 3
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    • Analyzing the Polarity of Opinionated Queries
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  • 6
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    • Friedman, J.H.1
  • 12
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    • Training linear svms in linear time
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  • 13
    • 34250221468 scopus 로고    scopus 로고
    • Linear feature-based models for information retrieval
    • Metzler, D., Bruce Croft, W.: Linear feature-based models for information retrieval. Inf. Retr. 10(3), 257-274 (2007)
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  • 14
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  • 15
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    • How useful are your comments?: Analyzing and predicting youtube comments and comment ratings
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.