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Volumn , Issue , 2008, Pages 217-226

Intelligent debugging and repair of utility constraint sets in knowledge-based recommender applications

Author keywords

Based recommenders; Knowledge acquisition; Multi attribute utility theory (maut)

Indexed keywords

KNOWLEDGE ACQUISITION; KNOWLEDGE BASED SYSTEMS; MAINTENANCE; MARKETING; MULTI AGENT SYSTEMS; USER INTERFACES;

EID: 57349164328     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1378773.1378802     Document Type: Conference Paper
Times cited : (17)

References (22)
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  • 3
    • 34247503565 scopus 로고    scopus 로고
    • Knowledge-based Recommender Systems. Encyclopedia of Lib. and Information Systems
    • Burke R. Knowledge-based Recommender Systems. Encyclopedia of Lib. and Information Systems, 69(32), 2000.
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    • Burke, R.1
  • 4
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    • Chen, L., and Pu, P. Survey of Preference Elicitation Methods, EPFL. Technical Report, 2004.
    • (2004)
    • Chen, L.1    Pu, P.2
  • 16
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    • (1951) Cerebral mechanisms in behaviour , pp. 112-136
    • Lashley, K.S.1
  • 17
    • 0033325071 scopus 로고    scopus 로고
    • A Framework for Collaborative, Content-Based and Demographic Filtering
    • Pazzani M. A Framework for Collaborative, Content-Based and Demographic Filtering. Artificial Intelligence Review 13, 5-6, 393-408, 1999.
    • (1999) Artificial Intelligence Review , vol.13 , Issue.5-6 , pp. 393-408
    • Pazzani, M.1
  • 19
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    • Reiter, R.1
  • 20
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    • Multivariate Preference Models and Decision Making with the MAUT Machine
    • Schmitt, C; Dengler, D.; Bauer, M. Multivariate Preference Models and Decision Making with the MAUT Machine. User Modeling 2003: 297-302
    • (2003) User Modeling , pp. 297-302
    • Schmitt, C.1    Dengler, D.2    Bauer, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.