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Volumn , Issue , 2006, Pages 67-72

An architecture based on multi-agent system and data mining for recommending research papers and researchers

Author keywords

Data mining; Multi agent system; Recommender system; Web based tools

Indexed keywords

ARCHITECTURE-BASED; COMMON INTERESTS; E-GOVERNMENT; HYBRID RECOMMENDER SYSTEMS; RESEARCH PAPERS; WEB COMMUNITY; WEB-BASED TOOLS;

EID: 84885934788     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (15)
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    • Toward the next generation of recommender systems: A survey of the state-of-The-art and possible extensions
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    • Adomavicius, G.; Tuzhilin, A Toward the Next Generation of Recommender Systems: A Survey of the State-of-The-Art and Possible Extensions IEEE Transactions on Knowledge and Data Engineering, Vol 17, n 6, USA, (2005), pp.734-749.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 4
    • 0035396163 scopus 로고    scopus 로고
    • Enhancing e-communities with agent-based systems
    • Los Alamitos, CA, USA
    • Case, S et al Enhancing E-Communities with agent-based systems IEEE Computer Society Press,Vol 34, n.7, Los Alamitos, CA, USA, (2001), pp 64-69.
    • (2001) IEEE Computer Society Press , vol.34 , Issue.7 , pp. 64-69
    • Case, S.1
  • 5
    • 84873419941 scopus 로고    scopus 로고
    • Combining data mining technique and users' relevance opinion to build an efficient recommender system
    • Brazil
    • Cazella, S C.; Alvares, L O C Combining Data Mining Technique and Users' Relevance Opinion to Build an Efficient Recommender System Revista da Tecnologia da Informação, UCB, Vol 4, n 2, Brazil, (2005), pp 09-20.
    • (2005) Revista da Tecnologia da Informação, UCB , vol.4 , Issue.2 , pp. 09-20
    • Cazella, S.C.1    Alvares, L.O.C.2
  • 6
    • 84885938484 scopus 로고    scopus 로고
    • Creating academic web communities: A recommender system to aid brazilian researchers to find information and contact relevant people
    • Alaska, USA
    • Cazella, S C.; Alvares, L O C Creating Academic Web Communities: A Recommender System to Aid Brazilian Researchers to Find Information and Contact Relevant People In: Proceedings of the 6th Annual Global Information Technology Management World Conference, Alaska, USA, (2005), pp.45-48.
    • (2005) Proceedings of the 6th Annual Global Information Technology Management World Conference , pp. 45-48
    • Cazella, S.C.1    Alvares, L.O.C.2
  • 7
    • 26944432690 scopus 로고    scopus 로고
    • Modeling user's opinion relevance to recommending research papers
    • L Ardissono, P Brna, and A Mitrovic (Eds.): UM 2005, LNAI 3538, Scotland
    • Cazella, S C.; Alvares, L O C Modeling user's opinion relevance to recommending research papers In: Tenth International Conference Springer's LNAI, 2005 L Ardissono, P Brna, and A Mitrovic (Eds.): UM 2005, LNAI 3538, Scotland, (2005), pp 337-341.
    • (2005) Tenth International Conference Springer's LNAI, 2005 , pp. 337-341
    • Cazella, S.C.1    Alvares, L.O.C.2
  • 8
    • 0031103689 scopus 로고    scopus 로고
    • Referral Web: Combining social networks and Collaborative filtering
    • New York, USA
    • Kautz, H et al Referral Web: combining social networks and Collaborative filtering Communications of the ACM, Vol 40, n.3, New York, USA, (1997), pp 63-65.
    • (1997) Communications of the ACM , vol.40 , Issue.3 , pp. 63-65
    • Kautz, H.1
  • 9
    • 0031103122 scopus 로고    scopus 로고
    • Grouplens: Applying collaborative filtering to usenet news
    • New York, USA
    • Konstan, J.A et al Grouplens: Applying Collaborative Filtering to Usenet News Communications of the ACM, Vol 40, n.3, New York, USA, (1997), pp 77-87.
    • (1997) Communications of the ACM , vol.40 , Issue.3 , pp. 77-87
    • Konstan, J.A.1
  • 10
    • 0033325071 scopus 로고    scopus 로고
    • Framework for collaborative, content-based and demographic filtering
    • Kluwer Academic Publishers, Hingham, MA, USA
    • Pazzani, M A Framework for collaborative, content-based and demographic filtering Artificial Intelligence Review, Vol 13, Issue 5 Kluwer Academic Publishers, Hingham, MA, USA, (1999), pp 393-408.
    • (1999) Artificial Intelligence Review , vol.13 , Issue.5 , pp. 393-408
    • Pazzani, M.A.1
  • 12
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    • E-Commerce recommendation applications
    • Kluwer Academic Publishers, Hingham, MA, USA
    • Schafer, J.B et al E-Commerce recommendation applications Data Mining and Knowledge Discovery, Vol 5, Issue 1-2 Kluwer Academic Publishers, Hingham, MA, USA, (2001), pp 115-153.
    • (2001) Data Mining and Knowledge Discovery , vol.5 , Issue.1-2 , pp. 115-153
    • Schafer, J.B.1
  • 13
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    • Social information filtering: Algorithms for automating "word of mouth"
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    • Shardanand, U.; Maes, P Social information filtering: Algorithms for automating "word of mouth" In: Proceedings of Human Factors in Computing Systems, Denver, Colorado, USA, (1995), pp 210-217.
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    • Shardanand, U.1    Maes, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.