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Volumn 475, Issue , 2014, Pages 188-192

Increasing Top-20 diversity through recommendation post-processing

Author keywords

Diversity; ILD; Recommender system; RecSys

Indexed keywords

SEMANTIC WEB;

EID: 84908545763     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-12024-9_25     Document Type: Article
Times cited : (3)

References (9)
  • 4
    • 36549084189 scopus 로고    scopus 로고
    • Similarity vs. diversity
    • In: Aha, D.W., Watson, I. (eds.), Springer, Heidelberg
    • Smyth, B., McClave, P.: Similarity vs. diversity. In: Aha, D.W., Watson, I. (eds.) ICCBR 2001. LNCS (LNAI), vol. 2080, pp. 347-361. Springer, Heidelberg (2001)
    • (2001) ICCBR 2001. LNCS (LNAI) , vol.2080 , pp. 347-361
    • Smyth, B.1    McClave, P.2
  • 5
    • 84884473556 scopus 로고    scopus 로고
    • What recommenders recommend - an analysis of accuracy, popularity, and sales diversity effects
    • In: Carberry, S., Weibelzahl, S., Micarelli, A., Semeraro, G. (eds.), Springer, Heidelberg
    • Jannach, D., Lerche, L., Gedikli, F., Bonnin, G.: What recommenders recommend - an analysis of accuracy, popularity, and sales diversity effects. In: Carberry, S., Weibelzahl, S., Micarelli, A., Semeraro, G. (eds.) UMAP 2013. LNCS, vol. 7899, pp. 25-37. Springer, Heidelberg (2013)
    • (2013) UMAP 2013. LNCS , vol.7899 , pp. 25-37
    • Jannach, D.1    Lerche, L.2    Gedikli, F.3    Bonnin, G.4
  • 6
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
    • Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734-749 (2005)
    • (2005) IEEE Trans. Knowl. Data Eng , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 7
    • 84859702336 scopus 로고    scopus 로고
    • Improving aggregate recommendation diversity using ranking-based techniques
    • Adomavicius, G., Kwon, Y.: Improving aggregate recommendation diversity using ranking-based techniques. IEEE Trans. Knowl. Data Eng. 24(5), 896-911 (2012)
    • (2012) IEEE Trans. Knowl. Data Eng , vol.24 , Issue.5 , pp. 896-911
    • Adomavicius, G.1    Kwon, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.