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Volumn 1, Issue , 2006, Pages 575-581

Induction of compact decision trees for personalized recommendation

Author keywords

Frequent itemset mining; Product recommendation; Response modeling

Indexed keywords

DATA STRUCTURES; DATABASE SYSTEMS; LEARNING ALGORITHMS; TREES (MATHEMATICS);

EID: 33751051181     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1141277.1141410     Document Type: Conference Paper
Times cited : (23)

References (15)
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  • 3
    • 85026745403 scopus 로고    scopus 로고
    • Recommendation as a stochastic sequential decision problem
    • Trento (Italy), June 6-10, 2003
    • Brafman, R.I., Heckermann, D., and Shani, G. (2003). Recommendation as a stochastic sequential decision problem, in Proc. of ICASP 13, Trento (Italy), June 6-10, 2003, pp. 164-173.
    • (2003) Proc. of ICASP , vol.13 , pp. 164-173
    • Brafman, R.I.1    Heckermann, D.2    Shani, G.3
  • 5
    • 33751023336 scopus 로고    scopus 로고
    • Amazon.com recommendations: Item-to-item collaborative filtering
    • March, 2003
    • Greg Linden, Brent Smith, and Jeremy York (2003). Amazon.com recommendations: item-to-item collaborative filtering, Industry Report, March, 2003.
    • (2003) Industry Report
    • Linden, G.1    Smith, B.2    York, J.3
  • 6
    • 0028476392 scopus 로고
    • Agents that reduce work and information overload
    • July 1994
    • Pattie Maes (1994). Agents that reduce work and information overload. Communications of the ACM, 37(7):30-40 July 1994.
    • (1994) Communications of the ACM , vol.37 , Issue.7 , pp. 30-40
    • Maes, P.1
  • 7
    • 2442465323 scopus 로고    scopus 로고
    • PhD thesis, December, 2002, Transnational University of Limburg, Diepenbeek, Belgium
    • Bart Goethals (2002). Efficient Frequent Pattern Mining, PhD thesis, December, 2002, Transnational University of Limburg, Diepenbeek, Belgium.
    • (2002) Efficient Frequent Pattern Mining
    • Goethals, B.1
  • 8
    • 0013110524 scopus 로고    scopus 로고
    • The use of association rules for product assortment decisions: A case study
    • San Diego, August 15-18, 1999
    • Brijs T., Swinnen G., Vanhoof K., and Wets G. (1999). The use of association rules for product assortment decisions: a case study, in Proc. of the Fifth International Conference on KDD, San Diego, August 15-18, 1999, pp. 254-260.
    • (1999) Proc. of the Fifth International Conference on KDD , pp. 254-260
    • Brijs, T.1    Swinnen, G.2    Vanhoof, K.3    Wets, G.4
  • 10
    • 0036103365 scopus 로고    scopus 로고
    • Efficient adaptive-support association rule mining for recommender systems
    • 2002
    • W. Lin, S. A. Alvarez, and C. Ruiz (2002). Efficient adaptive-support association rule mining for recommender systems. Data Mining and Knowledge Discovery, 6(1): 83-105, 2002.
    • (2002) Data Mining and Knowledge Discovery , vol.6 , Issue.1 , pp. 83-105
    • Lin, W.1    Alvarez, S.A.2    Ruiz, C.3
  • 13
    • 85015559680 scopus 로고    scopus 로고
    • An algorithmic framework for performing collaborative filtering
    • Jonathan L. Herlocker, Joseph A. Konstan, Al Borchers, and Jonh Riedl (1999). An Algorithmic Framework for Performing Collaborative Filtering, Proc. of SIGIR 1999, pp.230-237.
    • (1999) Proc. of SIGIR 1999 , pp. 230-237
    • Herlocker, J.L.1    Konstan, J.A.2    Borchers, A.3    Riedl, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.