Field Exam:Information Storage and Retrieval List Fall 2006 No. 1

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Information Storage and Retrieval - Spring 2005

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Contents

[edit] Basic Concepts

1. Korfhage, Robert R., ”Information Storage and Retrieval”, Wiley, 1997. (D∗ )

  • Chapter 2. Document and Query Forms, pp. 17-49
  • Chapter 3. Query Structures, pp. 51-77
  • Chapter 4. The Matching Process, 79-104
  • Chapter 5. Text Analysis, pp. 105-143
  • Chapter 8. Retrieval Effectiveness Measures, pp. 191-218

2. G. Salton, McGill ”The SMART and SIRE experimental retrieval systems”: In Karen Sparck Jones, Peter Willett Readings in Information Retrieval Morgan Kaufmann Series in Multimedia Information and Systems 1997: 381-399 (D, X† )

3. Swanson: ”Historical note: information retrieval and the future of an illusion” In Karen Sparck Jones, Peter Willett Readings in Information Retrieval Morgan Kaufmann Series in Multimedia Information and Systems 1997 : 555-561 (D, X)

4. Michael Lesk. ”The Seven Ages of Information Retrieval” Conference for the 50th anniversary of As We May Think, 12-14 October 1995, MIT, Cambridge, Mass. (D, X)

5. David C. Blair ”Information Retrieval and the Philosophy of Language” Annual Review of Information Science and Technology, 37(1):3-50, 2003. (D, X)

6. Gobinda G. Chowdhury ”Natural Language Processing”, Annual Review of Information Science and Technology, 37(1):51-89, 2003. (D, X)

7. Amit Singhal ”Modern Information Retrieval: A Brief Overview”. IEEE Data Engineering Bul letin Board. 24(4):35-43, 2001. (D, X)

[edit] Evaluation

8. Pia Borland ”The Concept of Relevance in IR”, Journal of the American Society for Information Science and Technology, 54(10):913-925, 2003. (D, X)

9. Stefano Mizzaro ”Relevance: the Whole History”, Journal of the American Society for Informa- tion Science and Technology, 48(9):810-832, 1997. (D, X)

10. Vincenzo Della Mea, Stefano Mizzaro ”Measuring retrieval effectiveness: A New Proposal and A First Experiment Validation”, Journal of the American Society for Information Science and Technology, 55(6):530-543, 2004. (D, X)

11. Karen Sparck Jones ”Further reflections on TREC”, Information Processing and Management, 36:37-85, 2000. (D, X)

12. David Hawking, Nick Craswell, Peter Bailey, Kethleen Griffihs, ”Measuring Search Engine Quality”, Information Retrieval, 4(1):33-59, 2001. (D, X)

13. Buckland, Michael, Gey, Fredric, ”The Relationship between Recall and Precision,” Journal of the American Society for Information Science, 45(1): 12-19, 1994. (D, X)


[edit] Information Retrieval in Web Environment

14. Liwen Vaughan, ”New measurements for search engine evaluation proposed and tested”, Infor- mation Processing & Management, 40(4):677-691, 2004. (D, X)

15. Eui-Kyu Park, Dong-Yul Ra and Myung-Gil Jang, ”Techniques for improving web retrieval effectiveness”, Information Processing & Management, 41(5):1207-1223,2005. (D, X)

16. Sally Jo Cunningham, Ian H. Witten, James Littin ”Applications of Machine Learning in Information Retrieval”, Annual Review of Information Science and Technology, 34:341-384, 2000. (D, X)

17. Robert W.P.Luk, H.V.Leong, Tharam S.Dillon, Alvin T.S.Chan, W. Bruce Croft, James Allan, ”A Survey in Indexing and Searching XML Documents”, Journal of the American Society for Information Science and Technology, 53(6):415-437, 2002. (D, X)

18. Edie M. Rasmussen, ”Indexing and Retrieval for the Web”, Annual Review of Information Science and Technology, 37(3):91 -123, 2002. (D, X)

[edit] User Issues, Interactivity and Interface

19. Giorgio Bra jnik, Stefano Mizzaro, Carlo Tasso, and Fabio Venuti ”Strategic Help in User Interfaces for Information Retrieval”, Journal of the American Society for Information Science, 53(5):343-358, 2002. (D, X)

20. Micheline Beaulieu, ”Interaction in Information Searching and Retrieval”, Journal of Docu- mentation, 56(4):431-439, 2000. (D, X)

21. Chaomei Chen, ”Visualising semantic spaces and author co-citation networks in digital li- braries”, Information Processing & Management, 35(3):401-420, May 1999. (*‡ )

[edit] Text Mining and Visualization

22. Katy Borner, Chen Chaomei, Kevin W. Boyack, ”Visualizing Knowledge Domains”, Annual Review of Information Science and Technology, 37(5):179, 2003. (D, X)

23. Ross Clement and David Sharp, Ngram and Bayesian Classification of Documents for Topic and Authorship, Library and Linguistic Computing, 18(4):423-447, 2003. (*)

24. Catherine Plaisant, James Rose, Bei Yu, Loretta Auvil, Matthew G. Kirschenbaum, Martha Nell Smith, Tanya Clement, Greg Lord, ”Exploring erotics in Emily Dickinson’s correspondence with text mining and visual interfaces”, Proceedings of the 6th ACM/IEEE-CS Joint Conference on Digital Libraries, pp141-150, Chapel Hill, NC, USA, 2006. (*)

25. Ben Shneiderman, David Feldman, Anne Rose and Xavier Ferre Grau, Visualizing digital library search results with categorical and hierarchical axes, Proceedings of the fifth ACM conference on Digital libraries, pp 57-66, San Antonio, Texas, United States, 2000 (*).

26. Bryan Klimt and Yiming Yang, The Enron Corpus: A New Dataset for Email Classification Research, European Conference on Machine Learning, Pisa Italy, 2004. (D)

27. Aron Culotta, Ron Bekkerman, and Andrew McCallum, Extracting social networks and contact information from email and the Web, First Conference on Email and Anti-Spam Proceedings (CEAS 2004), 2004, http://www.ceas.cc/papers-2004. (D)

28. Jeffrey Heer, danah boyd, Vizster: Visualizing Online Social Networks, IEEE Symposium on Information Visualization, 2005. (*)

29. Scott Deerwester, Susan T. Dumais, George W. Furnas, Thomas K. Landauer, Richard Harsh- man, Indexing by Latent Semantic Analysis, Journal of the American Society of Information Sci- ence, 41(6):391-407, 1990. (*)

30. Ravi Kumar, Prabhakar Raghavan, Sridhar Ra jagopalan, Andrew Tomkins, Extracting Large- Scale Knowledge Bases From the Web, The VLDB Journal, 639-650, 1999. (*)

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