Information Retrieval
Objectives
Knowledge:
- Learn the concept of information relevance.
- Analyze Web and multimedia data.
- Learn how to rank information by relevance.
- Understand evaluation protocols.
Know-how:
- Implement information retrieval models.
- Ability to adapt and improve components of a search engine.
- Deploy search engines with large-scale datasets.
- Design evaluation protocols and evaluate search engines.
Soft-Skills:
- Select the right IR techniques for particular problems.
- Design information retrieval systems.
- Ability to do critical thinking about retrieval results.
General characterization
Code
12077
Credits
6.0
Responsible teacher
João Miguel da Costa Magalhães
Hours
Weekly - 4
Total - Available soon
Teaching language
Português
Prerequisites
Available soon
Bibliography
[1] S. Büttcher. C. L. A. Clarke, G. V. Cormack, "Information Retrieval: Implementing and Evaluating Search Engines", The MIT Press, 2010. http://www.ir.uwaterloo.ca/book/
[2] C. D. Manning, P. Raghavan and H. Schütze, "Introduction to Information Retrieval", Cambridge University Press, 2008. http://www-nlp.stanford.edu/IR-book/
Teaching method
Available soon
Evaluation method
Available soon
Subject matter
1. Introduction
2. Basic techniques
3. Evaluation
4. Probabilistic retrieval
5. Language models
6. User feedback and query expansion
7. Link-based ranking
8. Information duplicates
9. Rank fusion methods
10. Indexing and distributed indexing
11. Efficient indexing