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Volumn , Issue , 2014, Pages 1543-1554

A temporal context-aware model for user behavior modeling in social media systems

Author keywords

Probabilistic generative model; Social media mining; Temporal recommender system; User behavior modeling

Indexed keywords

DATA PROCESSING; MIXTURES;

EID: 84904338108     PISSN: 07308078     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2588555.2593685     Document Type: Conference Paper
Times cited : (132)

References (34)
  • 1
    • 67049100147 scopus 로고    scopus 로고
    • On-line lda: Adaptive topic models for mining text streams with applications to topic detection and tracking
    • L. AlSumait, D. Barbara, and C. Domeniconi. On-line lda: Adaptive topic models for mining text streams with applications to topic detection and tracking. In IEEE Conf. on Data Mining, pages 993-1022, 2008.
    • (2008) IEEE Conf. on Data Mining , pp. 993-1022
    • Alsumait, L.1    Barbara, D.2    Domeniconi, C.3
  • 2
    • 34250772913 scopus 로고    scopus 로고
    • Dynamic topic models
    • D. M. Blei and J. D. Lafferty. Dynamic topic models. In ICML, pages 113-120, 2006.
    • (2006) ICML , pp. 113-120
    • Blei, D.M.1    Lafferty, J.D.2
  • 4
    • 84883096892 scopus 로고    scopus 로고
    • Incorporating popularity in topic models for social network analysis
    • Y. Cha, B. Bi, C.-C. Hsieh, and J. Cho. Incorporating popularity in topic models for social network analysis. In SIGIR, pages 223-232, 2013.
    • (2013) SIGIR , pp. 223-232
    • Cha, Y.1    Bi, B.2    Hsieh, C.-C.3    Cho, J.4
  • 5
    • 84866601874 scopus 로고    scopus 로고
    • Social-network analysis using topic models
    • Y. Cha and J. Cho. Social-network analysis using topic models. In SIGIR, pages 565-574, 2012.
    • (2012) SIGIR , pp. 565-574
    • Cha, Y.1    Cho, J.2
  • 6
    • 77954593787 scopus 로고    scopus 로고
    • Collaborative filtering for orkut communities: Discovery of user latent behavior
    • W. Y. Chen, J. C. Chu, J. Luan, H. Bai, Y. Wang, and E. Y. Chang. Collaborative filtering for orkut communities: discovery of user latent behavior. In WWW, pages 681-690, 2009.
    • (2009) WWW , pp. 681-690
    • Chen, W.Y.1    Chu, J.C.2    Luan, J.3    Bai, H.4    Wang, Y.5    Chang, E.Y.6
  • 8
    • 35348914807 scopus 로고    scopus 로고
    • Google news personalization: Scalable online collaborative filtering
    • A. S. Das, M. Datar, A. Garg, and S. Rajaram. Google news personalization: Scalable online collaborative filtering. In WWW, pages 271-280, 2007.
    • (2007) WWW , pp. 271-280
    • Das, A.S.1    Datar, M.2    Garg, A.3    Rajaram, S.4
  • 9
    • 84876805060 scopus 로고    scopus 로고
    • Finding bursty topics from microblogs
    • Q. Diao, J. Jiang, F. Zhu, and E. P. Lim. Finding bursty topics from microblogs. In ACL, pages 536-544, 2012.
    • (2012) ACL , pp. 536-544
    • Diao, Q.1    Jiang, J.2    Zhu, F.3    Lim, E.P.4
  • 10
    • 0034819889 scopus 로고    scopus 로고
    • Optimal aggregation algorithms for middleware
    • R. Fagin, A. Lotem, and M. Naor. Optimal aggregation algorithms for middleware. In PODS, pages 102-113, 2001.
    • (2001) PODS , pp. 102-113
    • Fagin, R.1    Lotem, A.2    Naor, M.3
  • 12
    • 72749091506 scopus 로고    scopus 로고
    • Topic evlolution in a stream of documents
    • A. Gohr and A. Hinneburg. Topic evlolution in a stream of documents. In SIAM, 2009.
    • (2009) SIAM
    • Gohr, A.1    Hinneburg, A.2
  • 13
    • 85026972772 scopus 로고    scopus 로고
    • Probabilistic latent semantic analysis
    • T. Hofmann. Probabilistic latent semantic analysis. In UAI, 1999.
    • (1999) UAI
    • Hofmann, T.1
  • 14
    • 32344441911 scopus 로고    scopus 로고
    • A maximum entropy web recommendation system: Combining collaborative and content features
    • X. Jin, Y. Zhou, and B. Mobasher. A maximum entropy web recommendation system: combining collaborative and content features. In KDD, pages 612-617, 2005.
    • (2005) KDD , pp. 612-617
    • Jin, X.1    Zhou, Y.2    Mobasher, B.3
  • 15
    • 78049449828 scopus 로고    scopus 로고
    • Soft-constraint based online lda for community recommendation
    • Y. Kang and N. Yu. Soft-constraint based online lda for community recommendation. In PCM, pages 494-505, 2010.
    • (2010) PCM , pp. 494-505
    • Kang, Y.1    Yu, N.2
  • 16
    • 70350647708 scopus 로고    scopus 로고
    • Collaborative filtering with temporal dynamics
    • Y. Koren. Collaborative filtering with temporal dynamics. In KDD, pages 447-456, 2009.
    • (2009) KDD , pp. 447-456
    • Koren, Y.1
  • 17
    • 84890653327 scopus 로고    scopus 로고
    • Information contagion: An empirical study of the spread of news on digg and twitter social networks
    • K. Lerman and R. Ghosh. Information contagion: An empirical study of the spread of news on digg and twitter social networks. In ICWSM, 2010.
    • (2010) ICWSM
    • Lerman, K.1    Ghosh, R.2
  • 18
    • 77951143278 scopus 로고    scopus 로고
    • Personalized news recommendation based on click behavior
    • J. Liu, P. Dolan, and E. R. Pedersen. Personalized news recommendation based on click behavior. In IUI, pages 31-40, 2010.
    • (2010) IUI , pp. 31-40
    • Liu, J.1    Dolan, P.2    Pedersen, E.R.3
  • 19
    • 78649960868 scopus 로고    scopus 로고
    • Online evolutionary collaborative filtering
    • N. N. Liu, M. Zhao, E. Xiang, and Q. Yang. Online evolutionary collaborative filtering. In RecSys, pages 95-102, 2010.
    • (2010) RecSys , pp. 95-102
    • Liu, N.N.1    Zhao, M.2    Xiang, E.3    Yang, Q.4
  • 20
    • 29244457315 scopus 로고    scopus 로고
    • Discovering evolutionary theme patterns from text: An exploration of temporal text mining
    • Q. Mei and C. Zhai. Discovering evolutionary theme patterns from text: An exploration of temporal text mining. In KDD, pages 198-207, 2005.
    • (2005) KDD , pp. 198-207
    • Mei, Q.1    Zhai, C.2
  • 21
    • 78651294461 scopus 로고    scopus 로고
    • Discovering users' topics of interest on twitter: A first look
    • M. Michelson and S. A. Macskassy. Discovering users' topics of interest on twitter: a first look. In AND, pages 73-80, 2010.
    • (2010) AND , pp. 73-80
    • Michelson, M.1    Macskassy, S.A.2
  • 22
    • 78650134987 scopus 로고    scopus 로고
    • Bpr: Bayesian personalized ranking from implicit feedback
    • S. Rendle, C. Freudenthaler, Z. Gantner, and L. Schmidt Thieme. Bpr: Bayesian personalized ranking from implicit feedback. In UAI, pages 452-461, 2009.
    • (2009) UAI , pp. 452-461
    • Rendle, S.1    Freudenthaler, C.2    Gantner, Z.3    Schmidt Thieme, L.4
  • 23
    • 33745451385 scopus 로고    scopus 로고
    • The author-topic model for authors and documents
    • M. Rosen Zvi, T. Griffiths, M. Steyvers, and P. Smyth. The author-topic model for authors and documents. In UAI, pages 487-494, 2004.
    • (2004) UAI , pp. 487-494
    • Rosen Zvi, M.1    Griffiths, T.2    Steyvers, M.3    Smyth, P.4
  • 24
    • 52449112950 scopus 로고    scopus 로고
    • Leveraging tagging to model user interests in delicious
    • J. Stoyanovich, S. Amer Yahia, C. Marlow, and C. Yu. Leveraging tagging to model user interests in del.icio.us. In AAAI, 2008.
    • (2008) AAAI
    • Stoyanovich, J.1    Amer Yahia, S.2    Marlow, C.3    Yu, C.4
  • 25
    • 33749565782 scopus 로고    scopus 로고
    • Topics over time: A non-markov continueous-time model of topical trends
    • X. Wang and A. McCallum. Topics over time: A non-markov continueous-time model of topical trends. In KDD, pages 424-433, 2006.
    • (2006) KDD , pp. 424-433
    • Wang, X.1    McCallum, A.2
  • 26
    • 36849036336 scopus 로고    scopus 로고
    • Mining correlated bursty topic patterns from coordinated text streams
    • X. Wang, C. Zhai, X. Hu, and R. Sproat. Mining correlated bursty topic patterns from coordinated text streams. In KDD, pages 784-793, 2007.
    • (2007) KDD , pp. 784-793
    • Wang, X.1    Zhai, C.2    Hu, X.3    Sproat, R.4
  • 27
    • 77956217647 scopus 로고    scopus 로고
    • On the quality of inferring interests from social neighbors
    • Z. Wen and C. Y. Lin. On the quality of inferring interests from social neighbors. In KDD, pages 373-382, 2010.
    • (2010) KDD , pp. 373-382
    • Wen, Z.1    Lin, C.Y.2
  • 28
    • 56449084749 scopus 로고    scopus 로고
    • Fully distributed em for very large datasets
    • J. Wolfe, A. Haghighi, and D. Klein. Fully distributed em for very large datasets. In ICML, pages 1184-1191, 2008.
    • (2008) ICML , pp. 1184-1191
    • Wolfe, J.1    Haghighi, A.2    Klein, D.3
  • 29
    • 80052121737 scopus 로고    scopus 로고
    • Temporal collaborative filtering with bayesian probabilistic tensor factorization
    • L. Xiong, X. Chen, T. K. Huang, J. G. Schneider, and J. G. Carbonell. Temporal collaborative filtering with bayesian probabilistic tensor factorization. In SDM, pages 211-222, 2010.
    • (2010) SDM , pp. 211-222
    • Xiong, L.1    Chen, X.2    Huang, T.K.3    Schneider, J.G.4    Carbonell, J.G.5
  • 30
    • 84866630981 scopus 로고    scopus 로고
    • Modeling user posting behavior on social media
    • Z. Xu, Y. Zhang, Y. Wu, and Q. Yang. Modeling user posting behavior on social media. In SIGIR, pages 545-554, 2012.
    • (2012) SIGIR , pp. 545-554
    • Xu, Z.1    Zhang, Y.2    Wu, Y.3    Yang, Q.4
  • 31
    • 84866612153 scopus 로고    scopus 로고
    • Exploring social influence for recommendation: A generative model approach
    • M. Ye, X. Liu, and W. C. Lee. Exploring social influence for recommendation: a generative model approach. In SIGIR, pages 671-680, 2012.
    • (2012) SIGIR , pp. 671-680
    • Ye, M.1    Liu, X.2    Lee, W.C.3
  • 32
    • 84863735354 scopus 로고    scopus 로고
    • Challenging the long tail recommendation
    • H. Yin, B. Cui, J. Li, J. Yao, and C. Chen. Challenging the long tail recommendation. Proc. VLDB Endow., 5(9):896-907, 2012.
    • (2012) Proc. VLDB Endow , vol.5 , Issue.9 , pp. 896-907
    • Yin, H.1    Cui, B.2    Li, J.3    Yao, J.4    Chen, C.5
  • 33
    • 84881325359 scopus 로고    scopus 로고
    • A unified model for stable and temporal topic detection on social platform
    • H. Yin, B. Cui, H. Lu, Y. Huang, and J. Yao. A unified model for stable and temporal topic detection on social platform. In ICDE, pages 661-672, 2013.
    • (2013) ICDE , pp. 661-672
    • Yin, H.1    Cui, B.2    Lu, H.3    Huang, Y.4    Yao, J.5
  • 34
    • 85019186677 scopus 로고    scopus 로고
    • Lcars: A location-content-aware recommender system
    • H. Yin, Y. Sun, B. Cui, Z. Hu, and L. Chen. Lcars: A location-content- aware recommender system. In KDD, pages 221-229, 2013.
    • (2013) KDD , pp. 221-229
    • Yin, H.1    Sun, Y.2    Cui, B.3    Hu, Z.4    Chen, L.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.