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Volumn 10, Issue , 1999, Pages 243-270

Learning to order things

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTER SIMULATION; GRAPH THEORY; LEARNING SYSTEMS; OPTIMIZATION; SEARCH ENGINES; THEOREM PROVING; WORLD WIDE WEB;

EID: 0033314011     PISSN: 10769757     EISSN: None     Source Type: Journal    
DOI: 10.1613/jair.587     Document Type: Article
Times cited : (479)

References (35)
  • 1
    • 0031103679 scopus 로고    scopus 로고
    • FAB: Content-based, collaborative recommendation
    • Balabanovíc, M., & Shoham, Y. (1997). FAB: Content-based, collaborative recommendation. Communications of the ACM, 40(3), 66-72.
    • (1997) Communications of the ACM , vol.40 , Issue.3 , pp. 66-72
    • Balabanovíc, M.1    Shoham, Y.2
  • 3
    • 0012257673 scopus 로고
    • Voting schemes for which it can be difficult to tell who won the elections
    • Bartholdi, J., Tovey, C., & Trick, M. (1989). Voting schemes for which it can be difficult to tell who won the elections. Social Choice and Welfare, 6, 157-165.
    • (1989) Social Choice and Welfare , vol.6 , pp. 157-165
    • Bartholdi, J.1    Tovey, C.2    Trick, M.3
  • 4
    • 0242337403 scopus 로고    scopus 로고
    • Tight bounds for the acyclic subgraph problem
    • Berger, B., & Shor, P. (1997). Tight bounds for the acyclic subgraph problem. Journal of Algorithms, 25, 1-18.
    • (1997) Journal of Algorithms , vol.25 , pp. 1-18
    • Berger, B.1    Shor, P.2
  • 6
    • 0040193544 scopus 로고
    • A machine learning architecture for optimizing web search engines
    • American Association of Artificial Intelligence
    • Boyan, J., Freitag, D., & Joachims, T. (1994). A machine learning architecture for optimizing web search engines. Tech. rep. WS-96-05, American Association of Artificial Intelligence.
    • (1994) Tech. Rep. WS-96-05
    • Boyan, J.1    Freitag, D.2    Joachims, T.3
  • 8
    • 0002064245 scopus 로고
    • Expected search length: A single measure of retrieval effectiveness based on the weak ordering action of retrieval systems
    • Cooper, W. (1968). Expected search length: A single measure of retrieval effectiveness based on the weak ordering action of retrieval systems. American Documentation, 19, 30-41.
    • (1968) American Documentation , vol.19 , pp. 30-41
    • Cooper, W.1
  • 12
    • 0000255727 scopus 로고    scopus 로고
    • Approximating minimum feedback sets and multicuts in directed graphs
    • Even, G., Naor, J., Schieber, B., & Sudan, M. (1998). Approximating minimum feedback sets and multicuts in directed graphs. Algorithmica, 20(1), 151-174.
    • (1998) Algorithmica , vol.20 , Issue.1 , pp. 151-174
    • Even, G.1    Naor, J.2    Schieber, B.3    Sudan, M.4
  • 16
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Freund, Y., & Schapire, R. (1997). A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1), 119-139.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.2
  • 19
    • 0043257923 scopus 로고
    • Decision level data fusion for routing of documents in the TREC3 context: A best case analysis of worst case results
    • Kantor, P. (1994). Decision level data fusion for routing of documents in the TREC3 context: a best case analysis of worst case results. In Proceedings of the third text retrieval conference (TREC-3).
    • (1994) Proceedings of the Third Text Retrieval Conference (TREC-3)
    • Kantor, P.1
  • 20
    • 0001450923 scopus 로고
    • Mathematics without numbers
    • Kemeny, J. (1959). Mathematics without numbers. Daedalus, 88, 571-591.
    • (1959) Daedalus , vol.88 , pp. 571-591
    • Kemeny, J.1
  • 22
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
    • Littlestone, N. (1988). Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm. Machine Learning, 2(4).
    • (1988) Machine Learning , vol.2 , Issue.4
    • Littlestone, N.1
  • 24
    • 0024922150 scopus 로고
    • Comparing and combining the effectiveness of latent semantic indexing and the ordinary vector space model for information retrieval
    • Lochbaum, K., & Streeter, L. (1989). Comparing and combining the effectiveness of latent semantic indexing and the ordinary vector space model for information retrieval. Information processing and management, 25(6), 665-676.
    • (1989) Information Processing and Management , vol.25 , Issue.6 , pp. 665-676
    • Lochbaum, K.1    Streeter, L.2
  • 25
    • 0031104254 scopus 로고    scopus 로고
    • Introduction to special section on Recommender Systems
    • Resnick, P., & Varian, H. (1997). Introduction to special section on Recommender Systems. Communication of the ACM, 40(3).
    • (1997) Communication of the ACM , vol.40 , Issue.3
    • Resnick, P.1    Varian, H.2
  • 28
    • 34249756824 scopus 로고
    • Packing directed circuits fractionally
    • Seymour, P. (1995). Packing directed circuits fractionally. Combinatorica, 15, 281-288.
    • (1995) Combinatorica , vol.15 , pp. 281-288
    • Seymour, P.1
  • 30
    • 0002265812 scopus 로고    scopus 로고
    • Cut problems and their application to divide-and-conquer
    • Hochbaum, D. (Ed.), PWS Publishing Company, New York
    • Shmoys, D. (1997). Cut problems and their application to divide-and-conquer. In Hochbaum, D. (Ed.), Approximation algorithms for NP-Hard Problems. PWS Publishing Company, New York.
    • (1997) Approximation Algorithms for NP-Hard Problems
    • Shmoys, D.1
  • 35
    • 84982461894 scopus 로고
    • Measuring retrieval effectiveness based on user preference of documents
    • Yao, Y. (1995). Measuring retrieval effectiveness based on user preference of documents. Journal of the American Society for Information Science, 46(2), 133-145.
    • (1995) Journal of the American Society for Information Science , vol.46 , Issue.2 , pp. 133-145
    • Yao, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.