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Volumn , Issue , 2010, Pages 928-931

A research paper recommender system based on spreading activation model

Author keywords

Concept tree; Digital library; Recommender system; Spreading activation model

Indexed keywords

ACTIVATION MODELS; CONCEPT TREES; DIGITAL TECHNOLOGIES; ON-LINE SERVICE; PERSONALIZED SERVICE; RESEARCH PAPERS; SCIENCE AND TECHNOLOGY LIBRARIES; SIMILAR INTERESTS; SPREADING ACTIVATION MODEL; USER COMMUNITIES; USER PROFILE; VECTOR SPACE MODELS;

EID: 79952001101     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICISE.2010.5689417     Document Type: Conference Paper
Times cited : (19)

References (12)
  • 3
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
    • June
    • G. Adomavicius and A. Tuzhilin. "Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions, " IEEE Transaction on Knowledge and Data Engineering. Vol. 17, pp. 734-749, June 2005.
    • IEEE Transaction on Knowledge and Data Engineering , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 5
    • 37349128364 scopus 로고    scopus 로고
    • Using ontology network analysis for research document recommendation
    • DOI 10.1016/j.eswa.2007.02.023, PII S0957417407000620
    • S. Weng and H. Chang. "Using Ontology Network Analysis for Research Document Recommendation. Expert Systems With Applications, " Vol. 34, pp. 1857-1869, March 2008. (Pubitemid 350298208)
    • (2008) Expert Systems with Applications , vol.34 , Issue.3 , pp. 1857-1869
    • Weng, S.-S.1    Chang, H.-L.2
  • 12
    • 1842637192 scopus 로고    scopus 로고
    • Cumulated gain-based evaluation of IR techniques
    • April
    • K. Järvelin and J. Kekäläinen. "Cumulated Gain-based Evaluation of IR Techniques, " ACM Trans Inf Syst. vol. 20, pp. 422-446, April 2002.
    • (2002) ACM Trans Inf Syst. , vol.20 , pp. 422-44
    • Järvelin, K.1    Kekäläinen, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.