| Date, Time, and Room | Lecture Title and Contents | Introduction to IR book (draft available online) |
28 Mar 2007
Wednesday
10:45 - 12:30
HG6.09 | Lecture 1: Introduction to the course
- Course overview
- Basic IR terminology, ideas, architecture
- Keyword search
- Indexing
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Ch. 2 - 6 |
4 Apr 2007
Wednesday
10:45 - 12:30
HG6.09 | Lecture 2: Basic IR Models
- Query Languages & Operations
- Boolean model
- Vector space retrieval
| Ch. 1, 7 |
11 Apr 2007
Wednesday | No lecture | |
18 Apr 2007
Wednesday
10:45 - 12:30
HG6.09 | Lecture 3: Evaluation in IR and Relevance Feedback
- Basic evaluating principles
- Relevance and utility
- (Pseudo-)Relevance feedback
- Query expansion
| Ch. 8 & 9 |
25 Apr 2007
Wednesday
10:45 - 12:30
HG6.09 | Lecture 4: Advanced IR Models
- Probabilistic IR
- Statistical Language Models
- Latent-Concept Models
| Ch. 11, 12 & 18 |
2 May 2007
Wednesday
10:45 - 12:30
HG6.09 | Lecture 5: Text Classification and Clustering
- Naive Bayes, Neareast Neighbor, and SVM
- kMeans, Expectation Maximization, and Hierarchical clustering
| Ch. 13 - 17 |
9 May 2007
Wednesday | No lecture (examination week) | |
16 May 2007
Wednesday
10:45 - 12:30
HG6.09 | Lecture 6: Search engines
- Web search basics
- Web crawling and indexes
- Web spam
| IIR Ch. 19 & 20 |
23 May 2007
Wednesday
10:45 - 12:30
HG6.09 | Lecture 7: Link Analysis
- Reference models
- Google's Pagerank
- Hub and authorities
| IIR Ch. 21 |
30 May 2007
Wednesday
10:45 - 12:30
HG6.09 | Lecture 8: Recommender Systems
- Content-based filtering
- Collaborative filtering
- Hybrid approaches
| Links to reading material |
6 June 2007
Wednesday
10:45 - 12:30
HG6.09 | Lecture 9: Closing Lecture
- Brief summary of the course
- Not covered topics and further reading
- Advances R&D issues in IR
| Links to reading material |
13 June 2007
Wednesday
10:45 - 12:30
HG6.09 |
Project presentations by students *
* depending on the number of groups we may need to have another presentation session
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