1. Text Based Information Retrieval 2010-2011 Text Based Information Retrieval H02C8A H02C8B Marie-Francine Moens Karl Gyllstrom Katholieke Universiteit Leuven Study points: 4 or 6 Language: English Periodicity: Taught in the second semester e-mail: sien.moens@cs.kuleuven.besien.moens@cs.kuleuven.be karl.gyllstrom@cs.kuleuven.be 2010-2011

2. information retrieval

4. Ranking: deciding which of the relevant documents are the best Crawling: Discovering documents on the web Indexing: storing documents so they can be quickly retrieved when users search Clustering: finding similar documents so they can be retrieved together or stored on same servers Retrieval: finding good documents to answer users’ queries

5. Text Based Information Retrieval 2010- 2011 E.g., text categorization, information extraction, text clustering, summarization, cross-language and cross-media retrieval,...

6. Text Based Information Retrieval 2010- 2011 Aims of the course Acquire the fundamental techniques for text based information retrieval and text mining Learn to design, partially implement, and evaluate a text based information retrieval system Acquire insights into current research questions Illustrate with commercial applications 1 lesson: speaker of an international company (e.g., Microsoft, Yahoo)

7. Text Based Information Retrieval 2010- 2011 Prerequisites Basic knowledge of: –Probability theory and statistics –Information theory –Linear algebra –(Machine learning)

8. Text Based Information Retrieval 2010- 2011 Course material Course slides and exercise questions/solutions can be downloaded from the Toledo platform –http://toledo.kuleuven.be –Background literature

9. Text Based Information Retrieval 2010 -2011 Evaluation An assignment (grading: 33.3%): At the start of the course (week 7) the student can choose an assignment (paper or programming exercise), which regards a specific problem in information retrieval. The assignment is due during week 21. A score of 50% or more on this assignment is transferred to the second exam session. Large programming assignment for 6 study points, choice for paper only for 4 study points Theory exam (grading: 33.3 %): Oral with written preparation, closed book. Exercise exam (grading: 33.3%): Written, open book.

10. mail: sien.moens@cs.kuleuven.be karl.gyllstrom@cs.kuleuven.besien.moens@cs.kuleuven.be karl.gyllstrom@cs.kuleuven.be