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Volumn , Issue , 2009, Pages 205-208

A case study on the effectiveness of recommendations in the mobile internet

Author keywords

Case study; Collaborative filtering; Recommender systems

Indexed keywords

BUYING BEHAVIOR; COLLABORATIVE FILTERING; END USERS; EXPERIMENTAL EVALUATION; MOBILE INTERNET; MOBILE INTERNET PLATFORM; ONLINE CUSTOMERS; PERSONALIZED RECOMMENDATION; RANKING TECHNIQUE; RECOMMENDATION ALGORITHMS; RECOMMENDER SYSTEMS;

EID: 72249099866     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1639714.1639749     Document Type: Conference Paper
Times cited : (95)

References (11)
  • 1
    • 63449114637 scopus 로고    scopus 로고
    • The value of personalised recommender systems to e-business: A case study
    • Lausanne, CH
    • M. B. Dias, D. Locher, M. Li, W. El-Deredy, and P. J. Lisboa. The value of personalised recommender systems to e-business: a case study. In Proc. ACM RecSys'08, pages 291-294, Lausanne, CH, 2008.
    • (2008) Proc. ACM RecSys'08 , pp. 291-294
    • Dias, M.B.1    Locher, D.2    Li, M.3    El-Deredy, W.4    Lisboa, P.J.5
  • 2
    • 36448974150 scopus 로고    scopus 로고
    • Recommender systems and their impact on sales diversity
    • San Diego, CA
    • D. M. Fleder and K. Hosanagar. Recommender systems and their impact on sales diversity. In Proc. ACM EC'07, pages 192-199, San Diego, CA, 2007.
    • (2007) Proc. ACM EC'07 , pp. 192-199
    • Fleder, D.M.1    Hosanagar, K.2
  • 4
    • 84880129466 scopus 로고    scopus 로고
    • Slope one predictors for online rating-based collaborative filtering
    • Newport Beach, CA
    • D. Lemire and A. Maclachlan. Slope one predictors for online rating-based collaborative filtering. In Proceedings of SIAM Data Mining (SDM'05), pages 471-480, Newport Beach, CA, 2005.
    • (2005) Proceedings of SIAM Data Mining (SDM'05) , pp. 471-480
    • Lemire, D.1    Maclachlan, A.2
  • 6
    • 34249988177 scopus 로고    scopus 로고
    • Acquiring and revising preferences in a critique-based mobile recommender system
    • F. Ricci and Q. N. Nguyen. Acquiring and revising preferences in a critique-based mobile recommender system. IEEE Intelligent Systems, 22(3):22-29, 2007.
    • (2007) IEEE Intelligent Systems , vol.22 , Issue.3 , pp. 22-29
    • Ricci, F.1    Nguyen, Q.N.2
  • 7
    • 85052617391 scopus 로고    scopus 로고
    • Item-based collaborative filtering recommendation algorithms
    • Hong Kong
    • B. Sarwar, G. Karypis, J. Konstan, and J. Riedl. Item-based collaborative filtering recommendation algorithms. In Proc. WWW'01, pages 285-295, Hong Kong, 2001.
    • (2001) Proc. WWW'01 , pp. 285-295
    • Sarwar, B.1    Karypis, G.2    Konstan, J.3    Riedl, J.4
  • 9
    • 36349018241 scopus 로고    scopus 로고
    • Enabling intelligent content discovery on the mobile internet
    • Vancouver, Canada
    • B. Smyth, P. Cotter, and S. Oman. Enabling intelligent content discovery on the mobile internet. In Proc. AAAI/IAAI'07, pages 1744-1751, Vancouver, Canada, 2007.
    • (2007) Proc. AAAI/IAAI'07 , pp. 1744-1751
    • Smyth, B.1    Cotter, P.2    Oman, S.3
  • 11
    • 67650661479 scopus 로고    scopus 로고
    • Evaluating recommender systems in tourism - a case study from Austria
    • Innsbruck, Austria
    • M. Zanker, M. Fuchs, W. Höpken, M. Tuta, and N. Müller. Evaluating recommender systems in tourism - a case study from Austria. In Proc. ENTER 2008, pages 24-34, Innsbruck, Austria, 2008.
    • (2008) Proc. ENTER , pp. 24-34
    • Zanker, M.1    Fuchs, M.2    Höpken, W.3    Tuta, M.4    Müller, N.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.