메뉴 건너뛰기




Volumn , Issue , 2013, Pages 399-402

Recommending scientific articles using bi-relational graph-based iterative RWR

Author keywords

Bi relational graph; Iterative RWR; New article recommendation; Old article recommendation; Recommending scientific article

Indexed keywords

BI-RELATIONAL GRAPH; ITERATIVE RWR; NEW ARTICLE RECOMMENDATION; OLD ARTICLE RECOMMENDATION; SCIENTIFIC ARTICLES;

EID: 84887599381     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2507157.2507212     Document Type: Conference Paper
Times cited : (44)

References (15)
  • 1
    • 33745800921 scopus 로고    scopus 로고
    • Unifying collaborative and content-based filtering
    • J. Basilico and T. Hofmann. Unifying collaborative and content-based filtering. In Proc. of ICML, pages 448-456, 2004.
    • (2004) Proc. of ICML , pp. 448-456
    • Basilico, J.1    Hofmann, T.2
  • 2
    • 0036959356 scopus 로고    scopus 로고
    • Hybrid recommender systems: Survey and experiments
    • R. Burk. Hybrid recommender systems: survey and experiments. User Modeling and User-Adapted Interaction, 12:331-370, 2002.
    • (2002) User Modeling and User-Adapted Interaction , vol.12 , pp. 331-370
    • Burk, R.1
  • 3
    • 33847766633 scopus 로고    scopus 로고
    • Random-walk conputation of similarities between nodes of a graph with application to collaborative recommendation
    • F. Fouss, A. Pirotte, J.-M. Renders, and M. Saerens. Random-walk conputation of similarities between nodes of a graph with application to collaborative recommendation. IEEE Trans. on KDE, 9(3):355-369, 2007.
    • (2007) IEEE Trans. on KDE , vol.9 , Issue.3 , pp. 355-369
    • Fouss, F.1    Pirotte, A.2    Renders, J.-M.3    Saerens, M.4
  • 4
    • 70350656351 scopus 로고    scopus 로고
    • Trustwalker: A random walk model for combining trust-based and item-based recommendation
    • M. Jamali and M. Ester. Trustwalker: a random walk model for combining trust-based and item-based recommendation. In Proc. of ACM SIGKDD, 2009.
    • (2009) Proc. of ACM SIGKDD
    • Jamali, M.1    Ester, M.2
  • 5
    • 72449160235 scopus 로고    scopus 로고
    • On social networks and collaborative recommendation
    • I. Konstas, V. Stathopoulos, and J. M. Jose. On social networks and collaborative recommendation. In Proc. of ACM SIGIR, pages 195-202, 2009.
    • (2009) Proc. of ACM SIGIR , pp. 195-202
    • Konstas, I.1    Stathopoulos, V.2    Jose, J.M.3
  • 7
    • 85052617391 scopus 로고    scopus 로고
    • Item-based collaborative filtering recommendation algorithms
    • B. Sarwar, G. Karypis, J. Konstan, and J. Riedl. Item-based collaborative filtering recommendation algorithms. In Proc. of WWW, pages 285-295, 2001.
    • (2001) Proc. of WWW , pp. 285-295
    • Sarwar, B.1    Karypis, G.2    Konstan, J.3    Riedl, J.4
  • 11
    • 34748827346 scopus 로고    scopus 로고
    • Fast random walk with restart and its applications
    • H. H. Tong, C. Faloutsos, and J. Y. Pan. Fast random walk with restart and its applications. In Proc. of ICDM, pages 613-622, 2006.
    • (2006) Proc. of ICDM , pp. 613-622
    • Tong, H.H.1    Faloutsos, C.2    Pan, J.Y.3
  • 12
    • 80052666619 scopus 로고    scopus 로고
    • Collaborative topic modeling for recommending scientific articles
    • C. Wang and D. M. Blei. Collaborative topic modeling for recommending scientific articles. In Proc. of ACM SIGKDD, pages 448-456, 2011.
    • (2011) Proc. of ACM SIGKDD , pp. 448-456
    • Wang, C.1    Blei, D.M.2
  • 13
    • 33750345680 scopus 로고    scopus 로고
    • Unifying user-based and item-based collaborative filtering approaches by similarity fusion
    • J. Wang, A. de Vries, and M. Reinders. Unifying user-based and item-based collaborative filtering approaches by similarity fusion. In Proc. of ACM SIGIR, pages 501-508, 2006.
    • (2006) Proc. of ACM SIGIR , pp. 501-508
    • Wang, J.1    De Vries, A.2    Reinders, M.3
  • 14
    • 63449125150 scopus 로고    scopus 로고
    • A random walk method for alleviating the sparsity problem in collaborative filtering
    • H. Yildirim and M. S. Krishnamoorthy. A random walk method for alleviating the sparsity problem in collaborative filtering. In Proc. of ACM RecSys, pages 131-138, 2008.
    • (2008) Proc. of ACM RecSys , pp. 131-138
    • Yildirim, H.1    Krishnamoorthy, M.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.