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Volumn , Issue , 2007, Pages 1301-1308

Learning consumer preferences using semantic similarity

Author keywords

Inductive learning; Negotiation; Ontology; Semantic similarity

Indexed keywords

CONSUMER PREFERENCES; DYNAMIC ENVIRONMENTS; INDUCTIVE LEARNING; LEARNING TECHNIQUES; MULTI-AGENT NEGOTIATIONS; NEGOTIATION; SEMANTIC SIMILARITY; SERVICE CONTENTS; SERVICE PRICES; SHARED ONTOLOGIES; SIMILARITY METRICS; VERSION SPACES;

EID: 60349086000     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1329125.1329401     Document Type: Conference Paper
Times cited : (11)

References (20)
  • 2
    • 0000976784 scopus 로고    scopus 로고
    • A comment on issue-by-issue negotiations
    • L. Busch and I. Horstman. A comment on issue-by-issue negotiations. Games and Economic Behavior, 19:144-148, 1997.
    • (1997) Games and Economic Behavior , vol.19 , pp. 144-148
    • Busch, L.1    Horstman, I.2
  • 4
    • 0036888791 scopus 로고    scopus 로고
    • Using similarity criteria to make issue trade-offs in automated negotiations
    • P. Faratin, C. Sierra, and N. R. Jennings. Using similarity criteria to make issue trade-offs in automated negotiations. Artificial Intelligence, 142:205-237, 2002.
    • (2002) Artificial Intelligence , vol.142 , pp. 205-237
    • Faratin, P.1    Sierra, C.2    Jennings, N.R.3
  • 6
    • 0034499376 scopus 로고    scopus 로고
    • A note on the utility of incremental learning
    • C. Giraud-Carrier. A note on the utility of incremental learning. AI Communications, 13(4):215-223, 2000.
    • (2000) AI Communications , vol.13 , Issue.4 , pp. 215-223
    • Giraud-Carrier, C.1
  • 8
    • 0005180705 scopus 로고    scopus 로고
    • An information-theoretic definition of similarity
    • Morgan Kaufmann, San Francisco, CA
    • D. Lin. An information-theoretic definition of similarity. In Proc. 15th International Conf. on Machine Learning, pages 296-304. Morgan Kaufmann, San Francisco, CA, 1998.
    • (1998) Proc. 15th International Conf. on Machine Learning , pp. 296-304
    • Lin, D.1
  • 13
    • 33744584654 scopus 로고
    • Induction of decision trees
    • J. R. Quinlan. Induction of decision trees. Machine Learning, 1(1):81-106, 1986.
    • (1986) Machine Learning , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.R.1
  • 14
    • 84901719329 scopus 로고    scopus 로고
    • Dialogues for negotiation: Agent varieties and dialogue sequences
    • ATAL 2001, Revised Papers, of, Springer-Verlag
    • F. Sadri, F. Toni, and P. Torroni. Dialogues for negotiation: Agent varieties and dialogue sequences. In ATAL 2001, Revised Papers, volume 2333 of LNAI, pages 405-421. Springer-Verlag, 2002.
    • (2002) LNAI , vol.2333 , pp. 405-421
    • Sadri, F.1    Toni, F.2    Torroni, P.3
  • 15
    • 85008038587 scopus 로고    scopus 로고
    • Value-oriented electronic commerce
    • M. P. Singh. Value-oriented electronic commerce. IEEE Internet Computing, 3(3):6-7, 1999.
    • (1999) IEEE Internet Computing , vol.3 , Issue.3 , pp. 6-7
    • Singh, M.P.1
  • 17
    • 58149411184 scopus 로고
    • Features of similarity
    • A. Tversky. Features of similarity. Psychological Review, 84(4):327-352, 1977.
    • (1977) Psychological Review , vol.84 , Issue.4 , pp. 327-352
    • Tversky, A.1
  • 18
    • 77952642202 scopus 로고
    • Incremental induction of decision trees
    • P. E. Utgoff. Incremental induction of decision trees. Machine Learning, 4:161-186, 1989.
    • (1989) Machine Learning , vol.4 , pp. 161-186
    • Utgoff, P.E.1
  • 19
    • 60349100409 scopus 로고    scopus 로고
    • Wine, 2003. http://www.w3.org/TR/2003/CR-owl-guide-20030818/wine.rdf.
    • (2003)
    • Wine1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.