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Volumn 7814 LNCS, Issue , 2013, Pages 380-391

Exploiting novelty and diversity in tag recommendation

Author keywords

Diversity; Novelty; Relevance; Tag Recommendation

Indexed keywords

DESIGN AND EVALUATIONS; DIVERSITY; NOVELTY; RECOMMENDATION STRATEGIES; RELEVANCE; STATE-OF-THE-ART METHODS; TAG RECOMMENDATIONS; WEB 2.0 APPLICATIONS;

EID: 84875430051     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-36973-5_32     Document Type: Conference Paper
Times cited : (15)

References (13)
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    • Almeida, H., Gonçalves, M., Cristo, M., Calado, P.: A combined component approach for finding collection-adapted ranking functions based on genetic programming. In: SIGIR (2007)
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    • Almeida, H.1    Gonçalves, M.2    Cristo, M.3    Calado, P.4
  • 3
  • 4
    • 33847637644 scopus 로고    scopus 로고
    • MultiTube-Where Web 2.0 and Multimedia Could Meet
    • Boll, S.: MultiTube-Where Web 2.0 And Multimedia Could Meet. IEEE MultiMedia 14(1) (2007)
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    • Boll, S.1
  • 6
    • 63449122298 scopus 로고    scopus 로고
    • Personalized, interactive tag recommendation for flickr
    • Garg, N., Weber, I.: Personalized, interactive tag recommendation for flickr. In: RecSys (2008)
    • (2008) RecSys
    • Garg, N.1    Weber, I.2
  • 9
    • 77954930388 scopus 로고    scopus 로고
    • Tag sources for recommendation in collaborative tagging systems
    • Lipczak, M., Hu, Y., Kollet, Y., Milios, E.: Tag sources for recommendation in collaborative tagging systems. In: ECML PKDD (2009)
    • (2009) ECML PKDD
    • Lipczak, M.1    Hu, Y.2    Kollet, Y.3    Milios, E.4
  • 10
    • 57349196293 scopus 로고    scopus 로고
    • Flickr tag recommendation based on collective knowledge
    • Sigurbjörnsson, B., van Zwol, R.: Flickr tag recommendation based on collective knowledge. In: WWW (2008)
    • (2008) WWW
    • Sigurbjörnsson, B.1    Van Zwol, R.2
  • 11
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    • Rank and relevance in novelty and diversity metrics for recommender systems
    • Vargas, S., Castells, P.: Rank and relevance in novelty and diversity metrics for recommender systems. In: RecSys (2011)
    • (2011) RecSys
    • Vargas, S.1    Castells, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.