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Volumn , Issue , 2010, Pages 1019-1028

Statistical models of music-listening sessions in social media

Author keywords

collaborative filtering; graphical models; mood; music; recommendations; sessions; social media; taste

Indexed keywords

BASELINE MODELS; COLLABORATIVE FILTERING; GRAPHICAL MODEL; LISTENING-IN; MEDIA CONTENT; MUSIC RECOMMENDATION; ONLINE MEDIA; ONLINE MUSIC; SOCIAL MEDIA; STATISTICAL MODELS; USER EXPERIENCE;

EID: 77954602610     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1772690.1772794     Document Type: Conference Paper
Times cited : (64)

References (24)
  • 2
    • 0141607824 scopus 로고    scopus 로고
    • Latent Dirichlet allocation
    • January
    • D. Blei, A. Ng, and M. Jordan. Latent Dirichlet allocation. JMLR, 3:993-1022, January 2003.
    • (2003) JMLR , vol.3 , pp. 993-1022
    • Blei, D.1    Ng, A.2    Jordan, M.3
  • 4
    • 69949146648 scopus 로고    scopus 로고
    • Music information retrieval by detecting mood via computational media aesthetics
    • Y. Feng, Y. Zhuang, and Y. Pan. Music information retrieval by detecting mood via computational media aesthetics. In WI, 2003.
    • (2003) WI
    • Feng, Y.1    Zhuang, Y.2    Pan, Y.3
  • 5
    • 72949102410 scopus 로고    scopus 로고
    • Applying latent Dirichlet allocation to group discovery in large graphs
    • K. Henderson and T. Eliassi-Rad. Applying latent Dirichlet allocation to group discovery in large graphs. In SAC, pages 1456-1461, 2009.
    • (2009) SAC , pp. 1456-1461
    • Henderson, K.1    Eliassi-Rad, T.2
  • 6
    • 84873687590 scopus 로고    scopus 로고
    • Easy as CBA: A simple probabilistic model for tagging music
    • M. Hoffman, D. Blei, and P. Cook. Easy as CBA: a simple probabilistic model for tagging music. In ISMIR, 2009.
    • (2009) ISMIR
    • Hoffman, M.1    Blei, D.2    Cook, P.3
  • 7
    • 85026972772 scopus 로고    scopus 로고
    • Probabilistic latent semantic analysis
    • T. Hofmann. Probabilistic latent semantic analysis. In UAI, 1999.
    • (1999) UAI
    • Hofmann, T.1
  • 8
    • 84873596722 scopus 로고    scopus 로고
    • Exploring mood metadata: Relationships with genre, artist and usage
    • X. Hu and J. S. Downie. Exploring mood metadata: Relationships with genre, artist and usage. In ISMIR, pages 67-72, 2007.
    • (2007) ISMIR , pp. 67-72
    • Hu, X.1    Downie, J.S.2
  • 9
    • 58049103055 scopus 로고    scopus 로고
    • Automatic mood detection from acoustic music data
    • D. Liu, L. Lu, and H.-J. Zhang. Automatic mood detection from acoustic music data. In ISMIR, 2003.
    • (2003) ISMIR
    • Liu, D.1    Lu, L.2    Zhang, H.-J.3
  • 11
    • 70449504107 scopus 로고    scopus 로고
    • Modeling user rating profiles for collaborative filtering
    • B. Marlin. Modeling user rating profiles for collaborative filtering. In NIPS, 2003.
    • (2003) NIPS
    • Marlin, B.1
  • 12
    • 72249101936 scopus 로고    scopus 로고
    • Collaborative prediction and ranking with non-random missing data
    • B. Marlin and R. Zemel. Collaborative prediction and ranking with non-random missing data. In RecSys, 2009.
    • (2009) RecSys
    • Marlin, B.1    Zemel, R.2
  • 13
    • 38349172091 scopus 로고    scopus 로고
    • Topic and role discovery in social networks with experiments on Enron and academic email
    • A. McCallum, X. Wang, and A. Corrada-Emmanuel. Topic and role discovery in social networks with experiments on Enron and academic email. JAIR, 30:249-272, 2007.
    • (2007) JAIR , vol.30 , pp. 249-272
    • McCallum, A.1    Wang, X.2    Corrada-Emmanuel, A.3
  • 18
    • 84873533505 scopus 로고    scopus 로고
    • Dynamic playlist generation based on skipping behavior
    • E. Pampalk, T. Pohle, and G. Widmer. Dynamic playlist generation based on skipping behavior. In ISMIR, 2005.
    • (2005) ISMIR
    • Pampalk, E.1    Pohle, T.2    Widmer, G.3
  • 19
    • 18444409211 scopus 로고    scopus 로고
    • Learning a Gaussian process prior for automatically generating music playlists
    • J. C. Platt, C. J. C. Burges, S. Swenson, C. Weare, and A. Zheng. Learning a Gaussian process prior for automatically generating music playlists. In NIPS, 2001.
    • (2001) NIPS
    • Platt, J.C.1    Burges, C.J.C.2    Swenson, S.3    Weare, C.4    Zheng, A.5
  • 20
    • 65449170236 scopus 로고    scopus 로고
    • Inferring similarity between music objects with application to playlist generation
    • R. Ragno, C. J. C. Burges, and C. Herley. Inferring similarity between music objects with application to playlist generation. In MIR, 2005.
    • (2005) MIR
    • Ragno, R.1    Burges, C.J.C.2    Herley, C.3
  • 21
    • 77950941535 scopus 로고    scopus 로고
    • Matchbox: Large scale online Bayesian recommendations
    • D. H. Stern, R. Herbrich, and T. Graepel. Matchbox: large scale online Bayesian recommendations. In WWW 2010, pages 111-120, 2009.
    • (2009) WWW 2010 , pp. 111-120
    • Stern, D.H.1    Herbrich, R.2    Graepel, T.3
  • 22
    • 21844450606 scopus 로고    scopus 로고
    • Variational message passing
    • J. Winn and C. Bishop. Variational message passing. JMLR, 6:661-694, 2005.
    • (2005) JMLR , vol.6 , pp. 661-694
    • Winn, J.1    Bishop, C.2
  • 23
    • 34748842057 scopus 로고    scopus 로고
    • An LDA-based community structure discovery approach for large-scale social networks
    • H. Zhang, B. Qiu, C. L. Giles, H. C. Foley, and J. Yen. An LDA-based community structure discovery approach for large-scale social networks. In ISI, 2007.
    • (2007) ISI
    • Zhang, H.1    Qiu, B.2    Giles, C.L.3    Foley, H.C.4    Yen, J.5
  • 24
    • 31844437822 scopus 로고    scopus 로고
    • A new Mallows distance based metric for comparing clusterings
    • D. Zhou, J. Li, and H. Zha. A new Mallows distance based metric for comparing clusterings. In ICML, 2005.
    • (2005) ICML
    • Zhou, D.1    Li, J.2    Zha, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.