Profiling with the INFOrmer text filtering agent

Journal of Universal Computer Science

Volumn 3, Issue 8, 1997, Pages 988-1006

  Sorensen, Humphrey ^a   O'Riordan, Adrian ^a   O'Riordan, Colm ^a  

^a UNIVERSITY COLLEGE CORK   (Ireland)

Author keywords

Relevance feedback; Semantic network; Spreading activation; Text filtering

Indexed keywords

EID: 0013033764     PISSN: 0958695X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (20)

1. [Beale 1994] R. Beale and A. Wood. Agent-based interaction. People and Computers IX: Proceedings of HCI'94, Glasgow, UK, pages 239-245, 1994.
2. [Belew 1989] R. Belew. Adaptive information retrieval: Using a connectionist representation to retrieve and learn about documents. In Proceedings of the Twelfth Annual International ACMSIGIR Conference on Research and Development in Information Retrieval, pages 11-20, 1989.
3. [Belew 1986] R. K. Belew. Adaptive Information Retrieval: Machine Learning in Associative Networks. Phd thesis, Univ. Michigan, CS Department, 1986.
4. [Biron and Kraft 1993] P. Biron and D. Kraft. New methods for relevance feedback: Improving information retreival performance. Available at http://argo.gslis.ucla.edu/pbiron/pubs/newrf/newrf.html, 1993.
5. [Blair and Maron 1985] D.C. Blair and M.E. Maron. An evaluation of retrieval effectiveness for a full document retrieval system. Communications of the ACM, 28(3), March 1985.
6. [Dumais et al 1990] S. Deerwester, S. Dumais, T. Landauer, G. Furnas, and R. Harshman. Indexing by latent semantic analysis. Journal of the Society for Information Science, 6(41):391-407, 1990.
7. [Harman 1995] D. Harman. Overview of the fourth text retrieval conference (trec-4). Availble online: http://www-nlpir.nist.gov/TREC/trec4-papers/overview.ps, 1995.
8. [Kelledy and Smeaton 1997] F. Kelledy and A.M Smeaton. Automatic phrase recognition and extraction from text. In Proceedings of British Computer Science Information Retrieval Specialist Group, 19th Annual Colloquim on IR, 1997.
9. [Liddy et al 1994] Liddy, W.Paik, and E. Yu. Text categorisation for multiple users based on semantic features from a machine-readable dictionary. ACM Transactions on Information Systems, 12(3):278-295, July 1994.
10. [Lovins 1968] J.B. Lovins. Development of a stemming algorithm. Mechanical Translation and Computational Linguistics, 1:22-31, March 1968.
11. [Mozer 1984] M. Mozer. Inductive information retrieval using parallel distributed computation. Technical report, University of California, San Diego, 1984. Research Report ICS-8406.
12. [O'Riordan and Hanafin 1997] C. O'Riordan and M. Hanafin. A mobile agent approach to filtering web-based information. Abakus, The Journal of the Computer Science Dept., University College Cork, 1997.
13. [O'Riordan and Sorensen 1995] H. Sorensen A. O'Riordan. An intelligent agent for high-precision text filtering. Fourth International Conference On Information and Knowledge Management, pages 205-211, 1995.
14. [O'Riordan and Sorensen 1997] C. O'Riordan and H. Sorensen. A multi-agent based approach to collaborative filtering. Abakus, The Journal of the Computer Science Dept., University College Cork, 1997.
15. [Robertson 1977] Stephen F. Robertson. The probability ranking principle in IR. Journal Of Documentation, pages 294-304, 1977.
16. [Rocchio 1971] J.J Rocchio, Jr. Relevance feedback in information retreival. In G. Salton, editor, The SMART REtreival System: Experiments in Auotmatic Document Processing, chapter 14, pages 313-323. Prentice-Hall, 1971.
17. [Robertson and Sparck-Jones 1976] S. Robertson and K. Sparck-Jones. Relevance weighting of search terms. Journal of American Society for Information Science, 3(27):129-146, 1976.
18. [Salton 1989] G. Salton. Automatic Text Processing: The Transformation, Analysis, and Retreival of Information by Computer. Addison-Wesley, 1989.
19. [Salton 1983] G. Salton and M. McGill. Introduction to Modern Information Retrieval. McGraw Hill International, 1983.
20. [Strzalkowski and Carballo 1996] T. Strzalkowski J. Carballo. Natural language information retrieval. TREC-4 Report, 1996.