| Date | Morning Lecture (8:30-11:30) (Foundation & Trends) |
Afternoon Lecture (1:30-2:30) (Research Methodology) | Notes |
|---|---|---|---|
| 6/21 Sat | Course overview, background review (probability, statistics, information theory, NLP)
Slides: ppt Lecture Notes: Prob & Stat, Info Theory, NLP Readings: Bush 45, Rosenfeld's note on estimation, Rosenfeld's note on information theory |
Introduction to IR research Slides: ppt |
|
| 6/22 Sun | Information Retrieval Overview (part 1) (basic concepts, history, evaluation, vector space model)
Slides: ppt Lecture Notes: text retrieval Readings: Singhal's review (Error), Review of IR models, TREC measures, Voohees' evaluation paper, Book chapters 6-8, Zobel & Moffat 98 |
Prepare yourself for research
Slides: ppt Readings: Recommended readings for IR Research Students |
Mini-TREC task specification (not quite finalized) |
| 6/23 Mon | Information Retrieval Overview (Part 2) (basic retrieval models, system implementation, applications)
Slides: ppt Notes: Language Models for IR, IR System Readings: Book-Ch1-5 , Book-Ch11-12 , Zhai & Laffert 04. |
Find a good IR research topic
Slides: ppt | Assign #1out |
| 6/24 Tue | Statistical Language Models for IR (probabilistic retrieval models, KL-divergence model, special retrieval tasks)
Slides: ppt Notes: Language Models, Language Models for IR Readings: Rosenfeld 00, Zhai & Laffert 04, Zhai & Lafferty 01, Note on KL-div Retrieval Model |
Formulate IR research problem and form hypotheses
Slides: ppt |
Assign #2 out |
| 6/25 Wed | Modern Retrieval Frameworks (axiomatic, decision-theoretic)
Slides:ppt Readings: Zhai & Lafferty IPM 06, Hui Fang's dissertation |
Final exam practice questions available | |
| 6/26 Thu | Personalized Search & User Modeling (implicit feedback, explicit feedback, active feedback)
Slides: ppt Readings: Shen et al. 05a, Shen et al. 05b, Shen et al. 05c, Tan et al. 06, Tan et al. 07, Wang & Zhai 07 |
Test/Refine research hypotheses
Slides: ppt |
Proposal team due |
| 6/27 Fri | Natural Language Processing for IR (phrase indexing, dependency analysis, sense disambiguation, sentiment retrieval)
Slides:ppt Readings: Lewis & Sparck Jones 96, Smeaton 97, Zhai 97, Gao et al. 04, Zhang et al. 07 |
Write and publish an IR paper Slides: ppt |
|
| 6/28 Sat | Guest lecture Reveal earning secrets of search engines , ppt | Mini-TREC Phase I Task due extended | |
| 6/29 Sun | Topic Models for Text mining (PLSA, LDA, extensions and applications)
Slides: ppt Readings: Hofmann 99, Mei & Zhai 06, Blei et al. 03 |
Proposal outline due | |
| 6/30 Mon |
Next generation search engines, course summary Slides:ppt1,ppt2 Readings: Book-Ch19-21 PageRank; Computation of PageRank; Burges et al. 06, Burges et al. 05, Cao et al. 06 |
Final Exam (1:30-4:30) | Assigns #1, #2 due |
| 7/5 Sat | Research proposal due | ||
| 7/21 | Mini-TREC data sets ready | ||
| 8/25 | Mini-TREC Phase II Task due |