| DATE | TOPIC | READING | PRESENTER |
|---|---|---|---|
| 1/13 | Overview; Introduction to IR | Chapter 1 | Ellen (Slides) |
| 1/20 | Term Vocabulary, Postings, and Tolerant Retrieval | Chapters 2 and 3 | Clifton |
| 1/27 | Index Construction and Compression | Chapters 4 and 5 | Jags |
| 2/3 | Vector Space Model; Term Weighting | Chapter 6 | Youngjun & Jihoon |
| 2/10 | Scoring, Ranking, and Evaluation | Chapters 7 and 8 | Chong |
| 2/17 | Relevance Feedback and Query Expansion | Chapter 9 + Xu & Croft, SIGIR-96 |
Ruihong & Shreyas |
| 2/24 | Probabilistic Information Retrieval | Chapter 11 | Adam |
| 3/3 | Language Models for IR | Chapter 12 | Yu & Amit |
| 3/10 | Text Classification and Naive Bayes | Chapter 13 | Zhan |
| 3/17 | Vector Space Classification | Chapter 14 + Liere & Tadepalli, AAAI-97 |
Iljoo |
| 3/24 | SPRING BREAK | ||
| 3/31 | Flat Clustering | Chapter 16 + Hearst and Pedersen, SIGIR-96 |
Hongchang & Anusua |
| 4/7 | Hierarchical Clustering | Chapter 17 + Treeratpituk and Callan, DigitalGovt-06 |
Huong & Hoa |
| 4/14 | Latent Semantic Indexing | Chapter 18 + Schuetze and Silverstein, SIGIR-97 |
Shuying |
| 4/21 | Web Search, Link Analysis, PageRank | Chapters 19 & 21 | Nathan |
| 4/28 | Project Presentations | ||