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Volumn 178, Issue , 2008, Pages 261-265

Modeling collaborative similarity with the signed resistance distance kernel

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; EIGENVALUES AND EIGENFUNCTIONS; LAPLACE TRANSFORMS; MATRIX ALGEBRA;

EID: 84865624917     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: 10.3233/978-1-58603-891-5-261     Document Type: Conference Paper
Times cited : (5)

References (17)
  • 2
    • 33847766633 scopus 로고    scopus 로고
    • Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation
    • François Fouss, Alain Pirotte, Jean-Michel Renders, and Marco Saerens, ‘Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation’, IEEE Transactions on Knowledge and Data Engineering, 19(3), 355–369, (2007).
    • (2007) IEEE Transactions on Knowledge and Data Engineering , vol.19 , Issue.3 , pp. 355-369
    • Fouss, F.1    Pirotte, A.2    Renders, J.-M.3    Saerens, M.4
  • 3
    • 40949158664 scopus 로고    scopus 로고
    • The application of new concepts of dissimilarities between nodes of a graph to collaborative filtering
    • François Fouss, Alain Pirotte, and Marco Saerens, ‘The application of new concepts of dissimilarities between nodes of a graph to collaborative filtering’, in Proc. Workshop on Statistical Approaches for Web Mining, pp. 26–37, (2004).
    • (2004) Proc. Workshop on Statistical Approaches for Web Mining , pp. 26-37
    • Fouss, F.1    Pirotte, A.2    Saerens, M.3
  • 4
    • 33748869142 scopus 로고    scopus 로고
    • A novel way of computing similarities between nodes of a graph, with application to collaborative recommendation
    • François Fouss, Alain Pirotte, and Marco Saerens, ‘A novel way of computing similarities between nodes of a graph, with application to collaborative recommendation’, in Proc. Int. Conf. on Web Intelligence, pp. 550–556, (2005).
    • (2005) Proc. Int. Conf. on Web Intelligence , pp. 550-556
    • Fouss, F.1    Pirotte, A.2    Saerens, M.3
  • 5
    • 84878078886 scopus 로고    scopus 로고
    • An experimental investigation of graph kernels on a collaborative recommendation task
    • François Fouss, Luh Yen, Alain Pirotte, and Marco Saerens, ‘An experimental investigation of graph kernels on a collaborative recommendation task’, in Proc. Int. Conf. on Data Mining, pp. 863–868, (2006).
    • (2006) Proc. Int. Conf. on Data Mining , pp. 863-868
    • Fouss, F.1    Yen, L.2    Pirotte, A.3    Saerens, M.4
  • 9
    • 3042742744 scopus 로고    scopus 로고
    • Latent semantic models for collaborative filtering
    • Thomas Hofmann, ‘Latent semantic models for collaborative filtering’, ACM Trans. Inf. Syst., 22(1), 89–115, (2004).
    • (2004) ACM Trans. Inf. Syst. , vol.22 , Issue.1 , pp. 89-115
    • Hofmann, T.1
  • 10
    • 80051531169 scopus 로고    scopus 로고
    • Why does collaborative filtering work? – Recommendation model validation and selection by analyzing bipartite random graphs
    • Zan Huang and Daniel D. Zeng, ‘Why does collaborative filtering work? – recommendation model validation and selection by analyzing bipartite random graphs’, in Proc. Workshop of Information Technologies and Systems, (2005).
    • (2005) Proc. Workshop of Information Technologies and Systems
    • Huang, Z.1    Zeng, D.D.2
  • 13
    • 37249024765 scopus 로고    scopus 로고
    • Collaborative filtering using electrical resistance network models with negative edges
    • Springer-Verlag
    • Jérôme Kunegis and Stephan Schmidt, ‘Collaborative filtering using electrical resistance network models with negative edges’, in Proc. Industrial Conf. on Data Mining, pp. 269–282. Springer-Verlag, (2007).
    • (2007) Proc. Industrial Conf. on Data Mining , pp. 269-282
    • Kunegis, J.1    Schmidt, S.2
  • 15
    • 0029179043 scopus 로고
    • Social information filtering: Algorithms for automating “word of mouth
    • Upendra Shardanand and Patti Maes, ‘Social information filtering: Algorithms for automating “word of mouth”’, in Proc. Conf. on Human Factors in Computing Systems, volume 1, pp. 210–217, (1995).
    • (1995) Proc. Conf. on Human Factors in Computing Systems , vol.1 , pp. 210-217
    • Shardanand, U.1    Maes, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.