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Volumn 164, Issue , 2007, Pages 107-122

A Human Activity Aware Learning Mobile Music Player

Author keywords

Context aware; machine learning; music

Indexed keywords

COLLABORATIVE FILTERING; LEARNING SYSTEMS;

EID: 85139445503     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (39)
  • 3
    • 11044238586 scopus 로고    scopus 로고
    • Towards seamless mobility with personal servers
    • May
    • M. Bylund and Z. Segall. Towards seamless mobility with personal servers. INFO Journal, May 2004.
    • (2004) INFO Journal
    • Bylund, M.1    Segall, Z.2
  • 8
    • 33745904155 scopus 로고    scopus 로고
    • An unsupervised learning paradigm for peer-to-peer labeling and naming of locations and contexts
    • 204âAŞ221, Dublin, Ireland
    • A. Flanagan. An unsupervised learning paradigm for peer-to-peer labeling and naming of locations and contexts. In LoCA, page 204âAŞ221, Dublin, Ireland, 2006.
    • (2006) LoCA
    • Flanagan, A.1
  • 14
    • 85182539813 scopus 로고    scopus 로고
    • Tim Westergren. Music genome project, 2006. http://www.pandora.com/.
    • (2006) Music genome project
  • 15
    • 85182543277 scopus 로고    scopus 로고
    • The long tail: Why aggregation and context and not (necessarily) content are king in entertainment
    • Spencer Wang. The long tail: Why aggregation and context and not (necessarily) content are king in entertainment. Bear Stearns Media Research Presents, 2006.
    • (2006) Bear Stearns Media Research Presents
    • Wang, S.1
  • 16
    • 33846941582 scopus 로고    scopus 로고
    • Modeling user context with applications to media retrieval
    • March
    • Ankur Mani and Hari Sundaram. Modeling user context with applications to media retrieval. Multimedia Systems, 12:339–353, March 2007.
    • (2007) Multimedia Systems , vol.12 , pp. 339-353
    • Mani, A.1    Sundaram, H.2
  • 20
    • 85182540820 scopus 로고    scopus 로고
    • Nike and Apple. http://www.apple.com/ipod/nike/, 2006.
    • (2006) Nike and Apple
  • 22
    • 13844254250 scopus 로고    scopus 로고
    • Incorporating contextual information in recommender systems using a multidimensional approach
    • Gediminas Adomavicius, Ramesh Sankaranarayanan, Shahana Sen, and Alexander Tuzhilin. Incorporating contextual information in recommender systems using a multidimensional approach. ACM Trans. Inf. Syst., 23(1):103–145, 2005.
    • (2005) ACM Trans. Inf. Syst. , vol.23 , Issue.1 , pp. 103-145
    • Adomavicius, G.1    Sankaranarayanan, R.2    Sen, S.3    Tuzhilin, A.4
  • 25
    • 85182541218 scopus 로고    scopus 로고
    • BodyMedia. http://www.bodymedia.com/, 2006.
    • (2006)
  • 28
    • 85182542130 scopus 로고    scopus 로고
    • Apple. http://www.apple.com/iphone/technology/sensors.html, 2007.
    • (2007) Apple
  • 29
    • 33645311516 scopus 로고    scopus 로고
    • Reality mining: sensing complex social systems
    • Nathan Eagle and Alex Sandy Pentland. Reality mining: sensing complex social systems. Personal Ubiquitous Comput., 10(4):255–268, 2006.
    • (2006) Personal Ubiquitous Comput , vol.10 , Issue.4 , pp. 255-268
    • Eagle, N.1    Pentland, A.S.2
  • 31
    • 85182542745 scopus 로고    scopus 로고
    • Paolo Marrone and Joone Team. Joone, 2006. http://www.jooneworld.com/.
    • (2006) Joone
    • Marrone, P.1
  • 34
    • 0003120218 scopus 로고    scopus 로고
    • Fast Training of Support Vector Machines using Sequential Minimal Optimization
    • MIT Press
    • J. Platt. Fast Training of Support Vector Machines using Sequential Minimal Optimization. Advances in Kernel Methods - Support Vector Learning. MIT Press, 1998.
    • (1998) Advances in Kernel Methods - Support Vector Learning
    • Platt, J.1
  • 36
    • 0025725905 scopus 로고
    • Instance-based learning algorithms
    • D. Aha and D. Kibler. Instance-based learning algorithms. Machine Learning, 6:37–66, 1991.
    • (1991) Machine Learning , vol.6 , pp. 37-66
    • Aha, D.1    Kibler, D.2
  • 37
    • 0027621699 scopus 로고
    • Mining association rules between sets of items in large databases
    • Rakesh Agrawal, Tomasz Imielinski, and Arun Swami. Mining association rules between sets of items in large databases. SIGMOD Rec., 22(2):207–216, 1993.
    • (1993) SIGMOD Rec , vol.22 , Issue.2 , pp. 207-216
    • Agrawal, R.1    Imielinski, T.2    Swami, A.3
  • 39


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.