Research interests: Their dynamics, structures and applications in web search refinement

Proceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010

Volumn 1, Issue , 2010, Pages 639-646

  Zeng, Yi ^a   Zhou, Erzhong ^a   Qin, Yulin ^a,b   Zhong, Ning ^a,c  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c MAEBASHI INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Human dynamics; Interest duration; Research interest detection; Retained interest; Web search refinement

Indexed keywords

DYNAMIC CHARACTERISTICS; EVOLUTION PROCESS; HOLISTIC STRUCTURES; HUMAN DYNAMICS; INTEREST DURATION; KNOWLEDGE RETRIEVAL; LITERATURE SEARCH; MEASUREMENT PARAMETERS; PERSONALIZED SEARCH; RETAINED INTEREST; STATISTICAL ANALYSIS; USER NEED; USER-CENTRIC; VAGUE QUERIES; WEB SEARCHES;

RESEARCH; WEBSITES;

INFORMATION RETRIEVAL;

EID: 78649832375     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WI-IAT.2010.246     Document Type: Conference Paper

References (15)

1. B. Shneiderman. Science 2.0. Science, 319:1349-1350, March 7 2008.
2. C. Erten, P.J. Harding, S.G. Kobourov, K. Wampler, and G. Yee. Exploring the computing literature using temporal graph visualization. In Proceedings of the 2004 SPIE Conference on Visualization and Data Analysis, volume 5295, pages 45-56, 2004.
3. C.M. Chen. Citespace ii: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3):359-377, 2006.
4. F. Qiu and J. Cho. Automatic identification of user interest for personalized search. In Proceedings of the 2006 International World Wide Web Conference, May 2006.
5. Y. Zeng, Y.Y. Yao, and N. Zhong. Dblp-sse: A dblp search support engine. In Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, pages 626-630, September 2009.
6. J.R. Anderson and L.J. Schooler. Reflections of the environment in memory. Psychological Science, 2(6):396-408, 1991.
7. J.G. Oliveira and A.L. Barabási. Darwin and einstein correspondence patterns. Nature, 437(1251), 2005.
8. A.L. Barabási. Linked: How everything is connected to everything else and what it means for science, business and everyday life. Perseus Publishing, 1 edition, 2002.
9. A.L. Barabási. The origin of bursts and heavy tails in human dynamics. Nature, 435:207-211, 2005.
10. Z. Dezso, E. Almaas, A. Lukács, B. Rácz, I. Szakadát, and A.L. Barabási. Dynamics of information access on the web. Physical Review E, 73(066132):1-6, 2006.
11. X.P. Han, T. Zhou, and B.H. Wang. Modeling human dynamics with adaptive interest. New Journal of Physics, 10(073010), 2008.
12. J. Masoliver, M. Montero, and G.H. Weiss. Continuous-time random-walk model for financial distributions. Physical Review E, 67(021112), 2003.
13. Y. Zeng, Y. Wang, Z.S. Huang, D. Damljanovic, N. Zhong, and C. Wang. User interests: Its definition, vocabulary, and utilization in unifying search and reasoning. In Proceedings of the 2010 International Conference on Active Media Technology, August 28-30 2010.
14. J.D. Bransford, A.L. Brown, and R.R Cocking. How People Learn: Brain, Mind, Experience, and School. National Academy Press, 2000.
15. Y.Y. Yao, Y. Zeng, N. Zhong, and X.J. Huang. Knowledge retrieval (kr). In Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence, pages 729-735, 2007.