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Volumn , Issue , 2014, Pages 76-79

Book recommendation using machine learning methods based on library loan records and bibliographic information

Author keywords

Adaboost; Book Recommendation; Library Loan Records; Random Forest; Recommender System; Support Vector Machine; SVM

Indexed keywords

ADAPTIVE BOOSTING; BIBLIOGRAPHIC RETRIEVAL SYSTEMS; DECISION TREES; RANDOM FORESTS; RECOMMENDER SYSTEMS; SUPPORT VECTOR MACHINES;

EID: 84918500241     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IIAI-AAI.2014.26     Document Type: Conference Paper
Times cited : (15)

References (13)
  • 1
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, Leo (2001) "Random Forests," Machine Learning, 45(1), 5-32.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 2
    • 49949097621 scopus 로고    scopus 로고
    • Using data mining technology to provide a recommendation service in the digital library
    • Chen, C., &Chen, A, (2007), Using data mining technology to provide a recommendation service in the digital library, The Electronic Library, 25(6), 711-724.
    • (2007) The Electronic Library , vol.25 , Issue.6 , pp. 711-724
    • Chen, C.1    Chen, A.2
  • 3
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • Friedman, Jerome, Hastie, Trevor and Tibshirani, Robert(2000) "Additive Logistic Regression: A Statistical View of Boosting," The Annals of Statistics, 28(2), 337-407.
    • (2000) The Annals of Statistics , vol.28 , Issue.2 , pp. 337-407
    • Jerome, F.1    Trevor, H.2    Robert, T.3
  • 4
    • 84870822078 scopus 로고    scopus 로고
    • The book recommendation system using library loan records
    • text in Japanese
    • Harada, T, (2009), The book recommendation system using library loan records. Digital Libraries, 36, 22-31 (text in Japanese).
    • (2009) Digital Libraries , vol.36 , pp. 22-31
    • Harada, T.1
  • 5
    • 84870817451 scopus 로고    scopus 로고
    • A trial approach of weighting for library loan records for developing a book recommendation system
    • text in Japanese
    • Harada, T., &Masuda, K, (2010), A trial approach of weighting for library loan records for developing a book recommendation system, Digital Libraries, 38, 54-66 (text in Japanese).
    • (2010) Digital Libraries , vol.38 , pp. 54-66
    • Harada, T.1    Masuda, K.2
  • 7
    • 84918574212 scopus 로고    scopus 로고
    • LIBSVM and easy.py Accessed: May 7, 2014
    • LIBSVM and easy.py http://www.csie.ntu.edu.tw/~cjlin/libsvm/, [Accessed: May 7, 2014]
  • 8
    • 84918561666 scopus 로고    scopus 로고
    • MeCab Accessed: May 7, 2013
    • MeCab https://code.google.com/p/mecab/, [Accessed: May 7, 2013]
  • 9
    • 84918594145 scopus 로고    scopus 로고
    • R Accessed: May 7, 2014]
    • R http://www.r-project.org/, [Accessed: May 7, 2014]
  • 13
    • 33845635072 scopus 로고    scopus 로고
    • Melvil recommender project: Developing library recommendation services
    • Accessed: May 7, 2014]
    • Whitney, C., &Schiff, L, (2006), Melvil Recommender Project: Developing library recommendation services, D-Lib Magazine, 12(2). http://www.dlib.org/dlib/december06/whitney/12whitney.html. [Accessed: May 7, 2014]
    • (2006) D-Lib Magazine , vol.12 , Issue.2
    • Whitney, C.1    Schiff, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.