An attentive self-organizing neural model for text mining

Expert Systems with Applications

Volumn 36, Issue 3 PART 2, 2009, Pages 7064-7071

  Hung, Chihli ^a   Chi, Yu Liang ^a   Chen, Tsang Yao ^a  

^a CHUNG YUAN CHRISTIAN UNIVERSITY   (Taiwan)

Author keywords

Attentive agent; Personalized search; Search engine; Self organizing map; Web text mining

Indexed keywords

BEHAVIORAL RESEARCH; CONFORMAL MAPPING; SEARCH ENGINES; SELF ORGANIZING MAPS;

PERSONALIZED SEARCH; SEARCH BEHAVIOR; SEARCH MECHANISM; SEARCH OPERATIONS; SELF ORGANIZING MAP ALGORITHM; SELF-ORGANIZING NEURAL MODELS; USER SATISFACTION; WEB TEXT MINING;

DATA MINING;

EID: 58349122875     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.08.037     Document Type: Article

References (50)

1. Armstrong, R., Freitag, D., Joachims, T., & Mitchell, T. (1995). WebWatcher: A learning apprentice for the world wide web. In AAAI 1995 Spring Symposium on Information Gathering from Heterogeneous, Distributed Environments, Stanford, March 1995.
2. Balabanović M., and Shoham Y. Fab: Content-based, collaborative recommendation. Communications of the ACM 40 3 (1997) 66-70
3. Budzik J., and Hammond K.J. User interactions with everyday applications as context for just-in-time information access. Proceedings of the 2000 international conference on intelligent user interfaces (2000) 44-51
4. Carpenter P.A., and Just M.A. What your eyes do while your mind is reading. In: Rayner K. (Ed). Eye movements in reading: Perceptual and language processes (1983), Academic Press, New York
5. Chen H., Schuffels C., and Orwig R. Internet categorization and search: A self-organizing approach. Journal of Visual Communication and Image Representation 7 1 (1996) 88-102
6. Cho J., Garcia-Molina H., and Page L. Efficient crawling through URL ordering. Computer Networks and ISDN Systems 30 (1998) 161-172
7. Claypool M., Le P., Wased M., and Brown D. Implicit interest indicators. Proceedings on the international conference on intelligent user interfaces (2001) 33-40
8. Clough, P., & Sanderson, M. (2004). Relevance feedback for cross language image retrieval. In Proceedings of 26th European conference on IR research, ECIR2004 (pp. 238-252).
9. Croft, W. B., Cronen-Townsend, S., & Lavrenko, V. (2001). Relevance feedback and personalization: A language modeling perspective. DELOS workshop: Personalisation and recommender systems in digital libraries.
10. Davenport T.H., and Beck J.C. The attention economy: Understanding the new currency of business (2002), Harvard Business School Press September 2002
11. Dou, Z., Song, R., & Wen, J. -R. (2007). A large-scale evaluation and analysis of personalized search strategies. In Proceedings of the 16th international conference on World Wide Web table of contents, May 8-12, Banff, Canada (pp. 581-590).
12. Efthimiadis E., and Robertson S. Feedback and interaction in information retrieval. In: Oppenheim C. (Ed). Perspectives in information management (1989), Butterworths, London 257-272
13. Enns J.T. Three-dimensional features that pop out in visual search. In: Brogan D. (Ed). Visual search: Proceedings of the first international conference on visual search (1990), Taylor & Francis 37-45
14. Gospodnetić O., and Hatcher E. Lucene in action (2005), Manning Publications Co
15. Greisdorf H., and Spink A. Median measure: An approach to IR systems evaluation. Information Processing and Management 37 6 (2001) 843-857
16. Harman, D. (1992). Relevance feedback revisited. In Proceedings of SIGIR1992 (pp. 1-10).
17. Henzinger M.R., Motwani R., and Silverstein C. Challenges in web search engines. Proceedings of the 18th international joint conference on artificial intelligence (2003) 1573-1579
18. Hung C., and Tsai C.-F. Market segmentation based on hierarchical self-organizing map for markets of multimedia on demand. Expert Systems with Applications 34 3 (2008) 780-787
19. Jansen B.J., and Spink A. An analysis of web searching by European AlltheWeb.com users. Information Processing and Management 41 (2005) 361-381
20. Jansen B.J., Spink A., and Saracevic T. The use of relevance feedback on the web: Implications for web IR system design. Proceedings of the 1999 world conference on the WWW and internet (1999), Honolulu, Hawaii (pp. 550-555)
21. Kamvar, S. D., Haveliwala, T. H., Manning, C. D., & Golub, G. H. (2003a). Exploiting the block structure of the web for computing PageRank. Stanford University Technical Report.
22. Kamvar, S. D., Haveliwala, T. H., Manning, C. D., & Golub, G. H. (2003b). Extrapolation methods for accelerating PageRank computations. Proceedings of the 12th international World Wide Web conference, WWW12.
23. Kobayashi M., and Takeda K. Information retrieval on the web. ACM Computer Survey 32 2 (2000) 144-173
24. Kohonen T. Self-organized formation of topologically correct feature maps. Biological Cybernetics 43 (1982) 59-69
25. Kohonen T. Self-organizing maps. 3rd ed. (2001), Springer-verlag, Berlin Heidelberg, New York
26. Lempel R., and Moran S. Competitive caching of query results in search engines. Theoretical Computer Science 324 (2004) 253-271
27. Lv Y., Sun L., Zhang J., Nie J.-Y., Chen W., and Zhang W. An iterative implicit feedback approach to personalized search. Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the ACL (2006) 585-592
28. Maglio P.P., Barrett R., Campbell C.S., and Selker T. SUITOR: An attentive information system. Proceedings of the international 2000 conference on intelligent user interfaces (2000) 169-176
29. Miller G.A. WordNet: A dictionary browser. Proceedings of the first international conference on information in data (1985), University of Waterloo, Waterloo (pp. 25-28)
30. Mitra M., Singhal A., and Buckley C. Improving automatic query expansion. Proceedings of SIGIR1998 (1998) 206-214
31. Ozmutlu, S., Spink, A., & Ozmutlu, H. C. (2003). A study of multitasking web search. In Proceedings of the international conference on information technology: Coding and computing, Las Vegas (pp. 145-149).
32. Ozmutlu S., Ozmutlu H.C., and Spink A. A day in the life of web searching: An exploratory study. Information Processing and Management 40 2 (2004) 319-345
33. Page L., Brin S., Motwani R., and Winograd T. The PageRank citation ranking: Bringing order to the Web. Stanford Digital Library Technologies Project (1998)
34. Pashler H.E. The Psychology of Attention (1998), Massachusetts Institute of Technology Press
35. Pitkow J., Schutze H., Cass T., Cooley R., Turnbull D., Edmonds A., et al. Personalized search. Communication of ACM 45 9 (2002) 50-55
36. Rhodes, B. J. (2000). Just-in-time information retrieval. Ph.D Thesis. Massachusetts Institute of Technology.
37. Ritter H., and Kohonen T. Self-organizing semantic maps. Biological Cybernetics 61 (1989) 241-254
38. Roussinov D.G., and Chen H. Document clustering for electronic meetings: An experimental comparison of two techniques. Decision Support Systems 27 (1999) 67-79
39. Saracevic T. Relevance reconsidered. In: Ingwersen P., and Pors N.O. (Eds). Information science: Integration in perspectives (1996), Royal School of Librarianship, Copenhagen 201-218
40. Shen X., Tan B., and Zhai C. Implicit user modeling for personalized search. Proceedings of CIKM (2005) 824-831
41. Shen X., Tan B., and Zhai C. Privacy protection in personalized search. ACM SIGIR Forum 41 1 (2007) 4-17
42. Spink A., Greisdorf H., and Bateman J. From highly relevant to not relevant: Examining different regions of relevance. Information Processing and Management 34 5 (1998) 599-622
43. Tan B., Shen X., and Zhai C. Mining long-term search history to improve search accuracy. Proceedings of KDD (2006) 718-723
44. Treisman A. Features and objects in visual processing. Scientific American 255 5 (1986) 106-115
45. Tsai C.-F., McGarry K., and Tait J. Qualitative evaluation of automatic assignment of keywords to images. Information Processing and Management 42 1 (2006) 136-154
46. van de Laar P., Heskes T., and Gielen S. Task-dependent learning of attention. Neural Networks 10 6 (1997) 981-992
47. von der Malsburg Ch., and Schneider W. A neural cocktail-party processor. Biological Cybernetics 54 (1986) 29-40
48. Wedig S., and Madani O. A large-scale analysis of query logs for assessing personalization opportunities. Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining (2006) 742-747
49. White R., Ruthven I., and Jose J.M. The use of implicit evidence for relevance feedback in web retrieval. Proceedings of ECIR (2002) 93-109
50. You, G. -W., Hwang, S. -W. (2007). Personalized ranking: A contextual ranking approach. In Proceedings of the 2007 ACM symposium on applied computing Seoul, Korea (pp. 506-510).