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Volumn 3138, Issue , 2004, Pages 815-823

Automatic preference mining through learning user profile with extracted information

Author keywords

[No Author keywords available]

Indexed keywords

MOTION PICTURES; PATTERN RECOGNITION; SEMANTIC WEB; SEMANTICS;

EID: 35048875304     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-27868-9_89     Document Type: Article
Times cited : (4)

References (18)
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    • Combining Collaborative Filtering with Personal Agents for Better Recommendations
    • N. Good, et al., "Combining Collaborative Filtering with Personal Agents for Better Recommendations," In Proc. of the 16th National Conference on Artificial Intelligence, pp.439-446,1999.
    • (1999) Proc. of the 16th National Conference on Artificial Intelligence , pp. 439-446
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  • 6
    • 7044254543 scopus 로고    scopus 로고
    • Bayesian Web Document Classification through Optimizing Association Word
    • Proc. of the 16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Springer-Verlag
    • S. J. Ko, J. H. Lee, "Bayesian Web Document Classification through Optimizing Association Word," In Proc. of the 16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, LNAI 2718, Springer-Verlag, pp.565-574,2003.
    • (2003) LNAI , vol.2718 , pp. 565-574
    • Ko, S.J.1    Lee, J.H.2
  • 7
    • 34250700692 scopus 로고    scopus 로고
    • Hybrid Collaborative Filtering and Content-based Filtering for Improved Recommcnder System
    • Proc. of the International Conference on Computational Science, Springer-Verlag
    • K. Y. Jung, J. H. Lee, "Hybrid Collaborative Filtering and Content-based Filtering for Improved Recommcnder System," In Proc. of the International Conference on Computational Science, LNCS, Springer-Verlag, pp.299-306, 2004.
    • (2004) LNCS , pp. 299-306
    • Jung, K.Y.1    Lee, J.H.2
  • 10
    • 0004255908 scopus 로고    scopus 로고
    • McGraw-hill, New York
    • T. Mitchell, Machine Learning, McGraw-hill, New York, pp.154-200,1997.
    • (1997) Machine Learning , pp. 154-200
    • Mitchell, T.1
  • 11
    • 84941175892 scopus 로고    scopus 로고
    • Introduction to Rainbow URL: http://www.cs.cmu.edu/afs/cs/project/theo-l 1/www/na'ivebayes.html.
    • Introduction to Rainbow
  • 12
    • 0033325071 scopus 로고    scopus 로고
    • A Framework for Collaborative, Content-based and Demographic Filtering
    • M. J. Pazzani, "A Framework for Collaborative, Content-based and Demographic Filtering," Artificial Intelligence Review, pp.393-408,1999.
    • (1999) Artificial Intelligence Review , pp. 393-408
    • Pazzani, M.J.1
  • 13
    • 0002409860 scopus 로고    scopus 로고
    • A Probabilistic Analysis of the Rocchio Algorithm with TF-IDF for Text Categorization
    • T. Joachims, "A Probabilistic Analysis of the Rocchio Algorithm with TF-IDF for Text Categorization," In Proc. of the 14th International Conference on Machine Learning, pp.143-151,1997.
    • (1997) Proc. of the 14th International Conference on Machine Learning , pp. 143-151
    • Joachims, T.1
  • 17
    • 0036992555 scopus 로고    scopus 로고
    • Probabilistic Combination of Text Classifiers using Reliability Indicators: Models and Results
    • P. N. Bennett, et al., "Probabilistic Combination of Text Classifiers using Reliability Indicators: Models and Results," In Proc. of the 25th Annual International ACM SIGIR Conference, pp.207-214,2002.
    • (2002) Proc. of the 25th Annual International ACM SIGIR Conference , pp. 207-214
    • Bennett, P.N.1
  • 18
    • 85132303221 scopus 로고    scopus 로고
    • Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach
    • Springer-Verlag
    • K. Yu, et al., "Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach," Knowledge and Information Systems, Vol. 5, No. 2, pp. 201-224, Springer-Verlag, 2003.
    • (2003) Knowledge and Information Systems , vol.5 , Issue.2 , pp. 201-224
    • Yu, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.