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Volumn 1711, Issue , 1999, Pages 12-18

On text mining techniques for personalization

Author keywords

[No Author keywords available]

Indexed keywords

COLLABORATIVE FILTERING; ROUGH SET THEORY; SOFT COMPUTING;

EID: 22844453422     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-48061-7_3     Document Type: Conference Paper
Times cited : (8)

References (21)
  • 4
    • 0030720467 scopus 로고    scopus 로고
    • Exploiting clustering and phrases for context-based information retrieval
    • Anick P., Vaithyanathan S.: Exploiting clustering and phrases for context-based information retrieval. Proceedings of the ACM SIGIR Conference, pages 314–322, (1997).
    • (1997) Proceedings of the ACM SIGIR Conference , pp. 314-322
    • Anick, P.1    Vaithyanathan, S.2
  • 6
    • 0031103679 scopus 로고    scopus 로고
    • Content-Based, Collaborative Recommendation
    • Balabanovic M., Shoham Y.: Content-Based, Collaborative Recommendation. Communications of the ACM, Vol. 40, No. 3, pages 66–72, (1997).
    • (1997) Communications of the ACM , vol.40 , Issue.3 , pp. 66-72
    • Balabanovic, M.1    Shoham, Y.2
  • 12
    • 84976668719 scopus 로고
    • Using Collabortive Filtering to Weave an Information Tapestry
    • Goldberg D., Nichols D., Oki B. M., Terry D.: Using Collabortive Filtering to Weave an Information Tapestry. Communications of the ACM, Vol. 35, No. 12, pages 61–70, (1992).
    • (1992) Communications of the ACM , vol.35 , Issue.12 , pp. 61-70
    • Goldberg, D.1    Nichols, D.2    Oki, B.M.3    Terry, D.4
  • 13
    • 0030381274 scopus 로고    scopus 로고
    • Re-examining the cluster hypothesis: Scatter/Gather on Retrieval Results
    • Hearst M. A., Pedersen J. O.: Re-examining the cluster hypothesis: Scatter/Gather on Retrieval Results. Proceedings of the ACM SIGIR Conference, pages 76–84, (1996).
    • (1996) Proceedings of the ACM SIGIR Conference , pp. 76-84
    • Hearst, M.A.1    Pedersen, J.O.2
  • 14
    • 0002346866 scopus 로고    scopus 로고
    • Hierarchically classifying documents using very few words
    • Morgan-Kaufmann
    • Koller D., Sahami M.: Hierarchically classifying documents using very few words. International Conference on Machine Learning, Vol. 14, Morgan-Kaufmann, (1997).
    • (1997) International Conference on Machine Learning , vol.14
    • Koller, D.1    Sahami, M.2
  • 15
    • 0032282385 scopus 로고    scopus 로고
    • Using a Generalized Instance Set for Automatic Text Categorization
    • Lam W., Ho C. Y.: Using a Generalized Instance Set for Automatic Text Categorization. Proceedings of the ACM SIGIR Conference, pages 81–88, (1998).
    • (1998) Proceedings of the ACM SIGIR Conference , pp. 81-88
    • Lam, W.1    Ho, C.Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.