IR 695 Topics in Information Retrieval
Class Schedule
Spring 2004

       January               February                 March
Su Mo Tu We Th Fr Sa   Su Mo Tu We Th Fr Sa   Su Mo Tu We Th Fr Sa
             1  2  3    1  2  3  4  5  6  7       1  2  3  4  5  6
 4  5  6  7  8  9 10    8  9 10 11 12 13 14    7  8  9 10 11 12 13
11 12 13 14 15 16 17   15 16 17 18 19 20 21   14 15 16 17 18 19 20
18 19 20 21 22 23 24   22 23 24 25 26 27 28   21 22 23 24 25 26 27
25 26 27 28 29 30 31   29                     28 29 30 31

        April                   May                   June
Su Mo Tu We Th Fr Sa   Su Mo Tu We Th Fr Sa   Su Mo Tu We Th Fr Sa
             1  2  3                      1          1  2  3  4  5
 4  5  6  7  8  9 10    2  3  4  5  6  7  8    6  7  8  9 10 11 12
11 12 13 14 15 16 17    9 10 11 12 13 14 15   13 14 15 16 17 18 19
18 19 20 21 22 23 24   16 17 18 19 20 21 22   20 21 22 23 24 25 26
25 26 27 28 29 30      23 24 25 26 27 28 29   27 28 29 30
                       30 31

Academic Calendar

spring holiday: March 8-13
classes end: April 27th
Final exam: May 4th, Tuesday, 3:45-6:45PM

GRADING:

Grading Notes

project info: late submission: You may receive an incomplete but -50% of points for each I
exam info: take home, 10 questions, 3 points (0-3) each, including 2 readings questions
readings listed on a particular class date should generally be read in advance of class

CLASS SCHEDULE:

1. IR Introduction
2. Text Operations: extraction of terms, parsing, stopwords, stemming, Heap's law, etc
• Slides
• Readings
• Porter (1980) - An algorithm for suffix stripping
• Douglas Nelson (1998) The University of South Florida Word Association, Rhyme and Word Fragment Norms
3. IR models: taxonomy, formal characterization, Boolean models and VSM
• Slides
• Readings
• Salton (1988) Term weighting approaches in automatic text retrieval
4. Probabilistic models: Bayesian model, belief and inference networks
• Slides
• Readings
• Fung (1995) - Applying Bayesian networks to information retrieval
5. Fuzzy set models and Extended Boolean models
• Slides
• Readings
• to be determined
6. Generalized Vector Space Model and Neural networks
• Slides
• Readings
• Wong (1985) - Generalized vector spaces model in information retrieval
• Salton (1998) On the use of spreading activation methods in automatic information
7. Retrieval Evaluation
• Slides
• Readings
• J. Bar-Ilan (1998). On the overlap, the precision and estimated recall of search engines.
• Karen Sparck Jones (2000). Further reflections on TREC
8. Indexing and Searching: data structures
• Slides
9. Query operation, Linear Algebra methods for sparse matrics
• Slides (not yet available)
10. Citation analysis and link analysis
• Slides
• Readings
• Brin and Page (1998) The Anatomy of a Large-Scale Hypertextual Web Search Engine
• Kleinberg (1998) Authoritative Sources in a Hyperlinked Environment
11. Principles of Web search engines: crawling, CGI scripts, relevancy ranking
• Slide
12. Latent Semantic Analysis, Multi-Dimensional Scaling, Cluster Analysis
• Slides (not yet available)
• Readings
• P. W. Foltz (1990). Using latent semantic indexing for information filtering.
13. Adaptive Hypertext and Hypermedia
• Slides
• Readings
• Brusilovsky (2001) Adaptive hypermedia. User modeling and user adapted interaction, 11(1-2):87-110
• Otter (2000) Lost in hyperspace: metrics and mental models.
14. Project Discussion and presentation