Data selection for user topic model in twitter-like service

Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS

Volumn , Issue , 2011, Pages 847-852

  Yang, Zheng ^a   Xu, Jingfang ^a   Li, Xing ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Data selection; LDA; Twitter like service; User modeling

Indexed keywords

DATA SELECTION; LDA; TOPIC MODEL; TWITTER-LIKE SERVICE; USER MODELING; USER'S INTEREST;

COMPUTER SYSTEMS; DATA REDUCTION; MATHEMATICAL MODELS;

SOCIAL NETWORKING (ONLINE);

EID: 84863069505     PISSN: 15219097     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPADS.2011.50     Document Type: Conference Paper

References (21)

1. "200 million tweets per day, " 6 2011. [Online]. Available: http://blog.twitter.com/2011/06/200-million-tweets-per-day.html.
2. D. M. Blei, A. Y. Ng, and M. I. Jordan, "Latent dirichlet allocation, " J. Mach. Learn. Res., vol. 3, pp. 993-1022, March 2003. [Online]. Available: http://dx.doi.org/10.1162/jmlr.2003.3.4-5.993.
3. M. Rosen-Zvi, T. Griffiths, M. Steyvers, and P. Smyth, "The authortopic model for authors and documents, " in Proceedings of the 20th conference on Uncertainty in artificial intelligence, ser. UAI'04. Arlington, Virginia, United States: AUAI Press, 2004, pp. 487-494.
4. [Online]. Available: http://dl.acm.org/citation.cfm?id=1036843.1036902.
5. J. Weng, E.-P. Lim, J. Jiang, and Q. He, "Twitterrank: finding topic-sensitive influential twitterers, " in Proceedings of the third ACM international conference on Web search and data mining, ser. WSDM'10. New York, NY, USA: ACM, 2010, pp. 261-270. [Online]. Available: http://doi.acm.org/10. 1145/1718487.1718520.
6. B. Meeder, B. Karrer, A. Sayedi, R. Ravi, C. Borgs, and J. Chayes, "We know who you followed last summer: inferring social link creation times in twitter, " in Proceedings of the 20th international conference on World wide web, ser. WWW'11. New York, NY, USA: ACM, 2011, pp. 517-526. [Online]. Available: http://doi.acm.org/10.1145/1963405.1963479.
7. T. Xu, Y. Chen, L. Jaio, B. Y. Zhao, P. Hui, and X. Fu, "Scaling microblogging services with divergent traffic demands, " in Proc. of The ACM/IFIP/USENIX 12th International Middleware Conference (Middleware'11), Lisboa, Portugal, December 2011.
8. A. Mislove, B. Viswanath, K. P. Gummadi, and P. Druschel, "You are who you know: inferring user profiles in online social networks, " in Proceedings of the third ACM international conference on Web search and data mining, ser. WSDM'10. New York, NY, USA: ACM, 2010, pp. 251-260. [Online]. Available: http://doi.acm.org/10.1145/1718487.1718519.
9. J. Tang, L. Yao, D. Zhang, and J. Zhang, "A combination approach to web user profiling, " ACM Trans. Knowl. Discov. Data, vol. 5, pp. 2:1-2:44, December 2010. [Online]. Available: http://doi.acm.org/10.1145/1870096.1870098.
10. E. Agichtein, E. Brill, and S. Dumais, "Improving web search ranking by incorporating user behavior information, " in Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, ser. SIGIR'06. New York, NY, USA: ACM, 2006, pp. 19-26. [Online]. Available: http://doi.acm.org/10.1145/1148170.1148177.
11. X. Song, B. L. Tseng, C.-Y. Lin, and M.-T. Sun, "Expertisenet: Relational and evolutionary expert modeling, " p. 150, 2005.
12. J. Stoyanovich, A.-Y. Sihem, C. Marlow, and C. Yu, "Leveraging tagging behavior to model users'interests in del.icio.us, " in AAAI Spring Symposium on Social Information Processing, AAAI Press. Stanford University, CA: AAAI Press, 2008.
13. Z. Wen and C.-Y. Lin, "On the quality of inferring interests from social neighbors, " in Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, ser. KDD'10. New York, NY, USA: ACM, 2010, pp. 373-382. [Online]. Available: http://doi.acm.org/10.1145/ 1835804.1835853.
14. J. Gao, F. Liang, W. Fan, C. Wang, Y. Sun, and J. Han, "On community outliers and their efficient detection in information networks, " in Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, ser. KDD'10. New York, NY, USA: ACM, 2010, pp. 813-822. [Online]. Available: http://doi.acm.org/10.1145/1835804.1835907.
15. Y.-R. Lin, J. Sun, P. Castro, R. Konuru, H. Sundaram, and A. Kelliher, "Metafac: community discovery via relational hypergraph factorization, " in Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, ser. KDD'09. New York, NY, USA: ACM, 2009, pp. 527-536. [Online]. Available: http://doi.acm.org/10.1145/1557019.1557080.
16. H. H. Song, T. W. Cho, V. Dave, Y. Zhang, and L. Qiu, "Scalable proximity estimation and link prediction in online social networks, " in Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference, ser. IMC'09. New York, NY, USA: ACM, 2009, pp. 322-335. [Online]. Available: http://doi.acm.org/10.1145/1644893.1644932.
17. Y. W. Teh, M. I. Jordan, M. J. Beal, and D. M. Blei, "Hierarchical Dirichlet processes, " Journal of the American Statistical Association, vol. 101, no. 476, pp. 1566-1581, 2006.
18. Y. Wang, H. Bai, M. Stanton, W.-Y. Chen, and E. Y. Chang, "Plda: Parallel latent dirichlet allocation for large-scale applications, " pp. 301- 314, 2009.
19. "Sina weibo 200m users, " August 2011. [Online]. Available: http://www.chinainternetwatch.com/1237/sina-weibo-200m-users/.
20. "mmseg." [Online]. Available: http://technology.chtsai.org/ mmseg/.
21. "Gibbslda++." [Online]. Available: http://gibbslda.sourceforge. net/.