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Volumn , Issue , 2015, Pages 213-222

Multiple social network learning and its application in volunteerism tendency prediction

Author keywords

Missing data completion; Multiple social network learning; Volunteerism tendency prediction

Indexed keywords

FORECASTING; INFORMATION RETRIEVAL;

EID: 84953731856     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2766462.2767726     Document Type: Conference Paper
Times cited : (106)

References (29)
  • 1
    • 84879696661 scopus 로고    scopus 로고
    • Cross-system user modeling and personalization on the social web
    • F. Abel, E. Herder, G.-J. Houben, N. Henze, and D. Krause. Cross-system user modeling and personalization on the social web. UMUAI, 2013.
    • (2013) UMUAI
    • Abel, F.1    Herder, E.2    Houben, G.-J.3    Henze, N.4    Krause, D.5
  • 2
    • 84891703786 scopus 로고    scopus 로고
    • On the personality traits of stackoverow users
    • B. Bazelli, A. Hindle, and E. Stroulia. On the personality traits of stackoverow users. In ICSM, 2013.
    • (2013) ICSM
    • Bazelli, B.1    Hindle, A.2    Stroulia, E.3
  • 6
    • 79955702502 scopus 로고    scopus 로고
    • Libsvm: A library for support vector machines
    • C.-C. Chang and C.-J. Lin. Libsvm: a library for support vector machines. TIST, 2011.
    • (2011) TIST
    • Chang, C.-C.1    Lin, C.-J.2
  • 7
    • 84887462210 scopus 로고    scopus 로고
    • Visual-textual joint relevance learning for tag-based social image search
    • Y. Gao, M. Wang, Z.-J. Zha, J. Shen, X. Li, and X. Wu. Visual-textual joint relevance learning for tag-based social image search. TIP, 2013.
    • (2013) TIP
    • Gao, Y.1    Wang, M.2    Zha, Z.-J.3    Shen, J.4    Li, X.5    Wu, X.6
  • 8
    • 72449198045 scopus 로고    scopus 로고
    • Named entity recognition in query
    • J. Guo, G. Xu, X. Cheng, and H. Li. Named entity recognition in query. In SIGIR, 2009.
    • (2009) SIGIR
    • Guo, J.1    Xu, G.2    Cheng, X.3    Li, H.4
  • 9
    • 80052651461 scopus 로고    scopus 로고
    • Fast coordinate descent methods with variable selection for non-negative matrix factorization
    • C.-J. Hsieh and I. S. Dhillon. Fast coordinate descent methods with variable selection for non-negative matrix factorization. In SIGKDD, 2011.
    • (2011) SIGKDD
    • Hsieh, C.-J.1    Dhillon, I.S.2
  • 10
    • 84970888198 scopus 로고    scopus 로고
    • Partial multi-view clustering
    • S.-Y. L. Y. Jiang and Z.-H. Zhou. Partial multi-view clustering. In AAAI, 2014.
    • (2014) AAAI
    • Jiang, Y.L.S.-Y.1    Zhou, Z.-H.2
  • 11
    • 84949859188 scopus 로고    scopus 로고
    • A method for large-scale l1-regularized least squares problems with applications in signal processing and statistics
    • S. Kim, K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky. A method for large-scale l1-regularized least squares problems with applications in signal processing and statistics. J-STSP, 2007.
    • (2007) J-STSP
    • Kim, S.1    Koh, K.2    Lustig, M.3    Boyd, S.4    Gorinevsky, D.5
  • 12
    • 35048827382 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • D. D. Lee and H. S. Seung. Learning the parts of objects by non-negative matrix factorization. Nature.
    • Nature
    • Lee, D.D.1    Seung, H.S.2
  • 13
    • 77956044597 scopus 로고    scopus 로고
    • Uncovering social spammers: Social honeypots+ machine learning
    • K. Lee, J. Caverlee, and S. Webb. Uncovering social spammers: social honeypots+ machine learning. In SIGIR, 2010.
    • (2010) SIGIR
    • Lee, K.1    Caverlee, J.2    Webb, S.3
  • 16
    • 84893367414 scopus 로고    scopus 로고
    • Learning to recommend descriptive tags for questions in social forums
    • L. Nie, Y.-L. Zhao, X. Wang, J. Shen, and T.-S. Chua. Learning to recommend descriptive tags for questions in social forums. TOIS, 2014.
    • (2014) TOIS
    • Nie, L.1    Zhao, Y.-L.2    Wang, X.3    Shen, J.4    Chua, T.-S.5
  • 17
    • 80052652741 scopus 로고    scopus 로고
    • Democrats, republicans and starbucks afficionados: User classification in twitter
    • M. Pennacchiotti and A.-M. Popescu. Democrats, republicans and starbucks afficionados: user classification in twitter. In SIGKDD, 2011.
    • (2011) SIGKDD
    • Pennacchiotti, M.1    Popescu, A.-M.2
  • 18
    • 0036723563 scopus 로고    scopus 로고
    • Dispositional and organizational inuences on sustained volunteerism: An interactionist perspective
    • L. A. Penner. Dispositional and organizational inuences on sustained volunteerism: An interactionist perspective. JSI, 2002.
    • (2002) JSI
    • Penner, L.A.1
  • 19
    • 85044816092 scopus 로고    scopus 로고
    • Volunteerism and social problems: Making things better or worse?
    • L. A. Penner. Volunteerism and social problems: Making things better or worse? JSI, 2004.
    • (2004) JSI
    • Penner, L.A.1
  • 20
    • 84856164038 scopus 로고    scopus 로고
    • Our twitter profiles, our selves: Predicting personality with twitter
    • D. Quercia, M. Kosinski, D. Stillwell, and J. Crowcroft. Our twitter profiles, our selves: predicting personality with twitter. In SocialCom, 2011.
    • (2011) SocialCom
    • Quercia, D.1    Kosinski, M.2    Stillwell, D.3    Crowcroft, J.4
  • 22
    • 33745780139 scopus 로고    scopus 로고
    • Implicit user modeling for personalized search
    • X. Shen, B. Tan, and C. Zhai. Implicit user modeling for personalized search. In CIKM, 2005.
    • (2005) CIKM
    • Shen, X.1    Tan, B.2    Zhai, C.3
  • 23
    • 33750327222 scopus 로고    scopus 로고
    • Lda-based document models for ad-hoc retrieval
    • X. Wei and W. B. Croft. Lda-based document models for ad-hoc retrieval. In SIGIR, 2006.
    • (2006) SIGIR
    • Wei, X.1    Croft, W.B.2
  • 24
    • 84991665233 scopus 로고    scopus 로고
    • Multi-source learning with block-wise missing data for Alzheimer's disease prediction
    • S. Xiang, L. Yuan, W. Fan, Y. Wang, P. M. Thompson, and J. Ye. Multi-source learning with block-wise missing data for alzheimer's disease prediction. In SIGKDD, 2013.
    • (2013) SIGKDD
    • Xiang, S.1    Yuan, L.2    Fan, W.3    Wang, Y.4    Thompson, P.M.5    Ye, J.6
  • 25
    • 84866042961 scopus 로고    scopus 로고
    • Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
    • L. Yuan, Y. Wang, P. M. Thompson, V. A. Narayan, and J. Ye. Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data. In SIGKDD, 2012.
    • (2012) SIGKDD
    • Yuan, L.1    Wang, Y.2    Thompson, P.M.3    Narayan, V.A.4    Ye, J.5
  • 26
    • 84863632577 scopus 로고    scopus 로고
    • Multiview metric learning with global consistency and local smoothness
    • D. Zhai, H. Chang, S. Shan, X. Chen, and W. Gao. Multiview metric learning with global consistency and local smoothness. TIST, 2012.
    • (2012) TIST
    • Zhai, D.1    Chang, H.2    Shan, S.3    Chen, X.4    Gao, W.5
  • 27
    • 80052110460 scopus 로고    scopus 로고
    • Composite hashing with multiple information sources
    • D. Zhang, F. Wang, and L. Si. Composite hashing with multiple information sources. In SIGIR, 2011.
    • (2011) SIGIR
    • Zhang, D.1    Wang, F.2    Si, L.3
  • 28
    • 84866049136 scopus 로고    scopus 로고
    • Inductive multi-task learning with multiple view data
    • J. Zhang and J. Huan. Inductive multi-task learning with multiple view data. In SIGKDD, 2012.
    • (2012) SIGKDD
    • Zhang, J.1    Huan, J.2
  • 29
    • 84883101447 scopus 로고    scopus 로고
    • Topic hierarchy construction for the organization of multi-source user generated contents
    • X. Zhu, Z.-Y. Ming, X. Zhu, and T.-S. Chua. Topic hierarchy construction for the organization of multi-source user generated contents. In SIGIR, 2013.
    • (2013) SIGIR
    • Zhu, X.1    Ming, Z.-Y.2    Zhu, X.3    Chua, T.-S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.