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Volumn , Issue , 2012, Pages 9-16

Leveraging publication metadata and social data into folkrank for scientific publication recommendation

Author keywords

Collaborative tagging; Folkrank; Recommender

Indexed keywords

COLLABORATIVE FILTERING; COLLABORATIVE TAGGING; DATA AND METADATA; FOLKRANK; GRAPH-BASED; INFORMATION OVERLOADS; RANKING ALGORITHM; RECOMMENDATION ALGORITHMS; RECOMMENDER; RESOURCE RECOMMENDATION; SCIENTIFIC ARTICLES; SCIENTIFIC PUBLICATIONS; SOCIAL BOOKMARKING;

EID: 84867477812     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2365934.2365937     Document Type: Conference Paper
Times cited : (17)

References (16)
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  • 4
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    • Gemmell, J.1    Schimoler, T.2    Mobasher, B.3    Burke, R.4
  • 6
    • 84881393421 scopus 로고    scopus 로고
    • Challenges in tag recommendations for collaborative tagging systems
    • volume 32 of Intelligent Systems Reference Library, Springer
    • R. Jäschke, A. Hotho, F. Mitzlaff, and G. Stumme. Challenges in tag recommendations for collaborative tagging systems. In Recommender Systems for the Social Web, volume 32 of Intelligent Systems Reference Library, pages 65-87. Springer, 2012.
    • (2012) Recommender Systems for the Social Web , pp. 65-87
    • Jäschke, R.1    Hotho, A.2    Mitzlaff, F.3    Stumme, G.4
  • 8
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    • Using self-de-ned group activities for improving recommendations in collaborative tagging systems
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    • (2010) E-Commerce and Web Technologies , pp. 13-23
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  • 16
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    • Improving tag-based recommendation by topic diversification
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    • Wartena, C.1    Wibbels, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.