1. Information Retrieval Systems

2. Aim of the Course Understand the complexity of information retrieval;
Understand the functions of an information retrieval system;
Be able to understand and measure the contribution of the components of an information retrieval system to its performance;
Be able to isolate the factors which optimize the information retrieval process;
Be aware of current issues in information retrieval, including search engines.

3. Course Content Introduction to information retrieval
Text retrieval systems
Retrieval models and implementation
Evaluating information retrieval systems
Query expansion and feedback
Web Search Engines
Information filtering
IR applications

4. References
Introduction to Information Retrieval. Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schuetze, Cambridge University Press, 2009.
Search Engines: Information Retrieval in Practice. Bruce Croft, Donald Metzler, and Trevor Strohman, Pearson Education, 2009.
3. Modern Information Retrieval. Baeza-Yates Ricardo and Berthier Ribeiro-Neto. 2nd edition, Addison-Wesley, 2011.