Information Retrieval for the Syrian Exchange Students
On this page you find some information about the lecture "Information Retrieval", which is given for the Syrian exchange students in summer term 2012 by Prof. Andreas Nürnberger. This page will be updated regularly throughout the course.
Information Retrieval (IR) is about information search in not or less structured datasets like text or multimedia databases. Examples for applications are internet search engines, digital libaries and multimedia archives like image or video databases. In this course you will be introduced into basic IR-concepts and special application areas will be illustrated. Topics covered include:
- Document pre-processing
- IR models
- Ranking and relevance feedback
- Human Computer Interaction
- Web Search
Dates and Rooms
|Lecture||Tuesday 09:15 - 10:45||24.04.2012||G29-335|
|Exercise||Monday 13:15 - 14:45||30.04.2012||G29-E037|
If you have any questions about the lectures or the exercises feel free to contact us (if possible via E-Mail).
- Andreas Nürnberger (Lecture)
- Thomas Low (Exercise)
There will be weekly lectures and exercise classes. For the latter, exercise sheets will be published one week in advance. These are required to be prepared in advance by all students. In the beginning of the lesson, every student must indicate which assignments he has prepared (voting). Based on this, solutions will be presented and discussed by the students.
There will be a written exam at the end of the course. Prerequisites for participating in the exam are:
- preparing at least 2/3 of all exercises
- oral presentation of at least two solutions
During the course you will find slides, exercise sheets and additional material published here.
- Introduction to Information Retrieval, C.D. Manning, P. Raghavan, H. Schütze, Cambridge University Press, 2008. (Online-Version)
- Search User Interfaces, Marti Hearst, Cambridge University Press, 2009. (Online-Version)
- Modern Information Retrieval, Ricardo Baeza-Yates and Berthier Ribiero-Neto, Addison Wesley, 1999.
- Foundations of Statistical Natural Language Processing, Chris Manning and Hinrich Schütze, MIT Press, Cambridge, MA, 1999.
- Information Retrieval: Data Structures and Algorithms, William B. Frakes and Ricardo Baeza-Yates, Prentice-Hall, 1992.
- Soft Computing in Information Retrieval, Fabio Crestani and Gabriella Pasi, Physica Verlag, 2000.