This web page gives information on the lecture 'Information Retrieval' which is held during the winter term 2017/2018 by Tatiana Gossen. It will be constantly updated during the course.
Information retrieval focuses on obtaining, extracting or mining information from a large collection of unstructured data, e.g. in form of text documents, images or videos. Information retrieval concepts are applied in web search engines, digital libraries and multimedia archives such as image and video databases. In this course the foundations of information retrieval will be introduced and illustrated on some specific application areas.
Please register yourself via LSF for one of the exercises!
Master students, please note that this course is 5CP only!
Requirements for Participation in the Final Exam
All students are required to participate in the exercise classes. Every week, there will be an assignment sheet that will be handed out one week in advance. This sheet has to be prepared by every student and will be discussed in class. There are two different types of assignments: theoretical tasks and programming assignments. The programming assignments can be solved in small groups of up to three students and must be sent in before the respective deadline. Prerequisites for a written exam and a 'Schein' is fulfillment of the following criteria:
- at least 50% of all programming points,
- at least 66% of votes for all other exercise tasks and
- at least two presentations of a solution in front of the class.
For acquiring the "Schein" you have to write and pass the exam.
A general reminder: In accordance with the examination rules, we offer each student exactly one examination date (oral or written) each term. The registration for a follow-up examination is only possible in the next term (i.e. after 6 months). As soon as a student has registered for an exam, either by using the LSF for written exams or by filling in the information on an examination list for oral exams (or filling out a registration form), this is counted as the agreed examination date. If it is cancelled, the rule above applies.
Dates and Rooms
|Lecture||Wed, 9:00 - 11:00||11.10.2017||G29-307|
|Exercise (1st group)||Fri, 9:00 - 11:00||20.10.2017||G22A-217|
|Exercise (2nd group)||Fri, 11:00 - 13:00||20.10.2017||G23-K11|
|Exercise (3d group)||Fri, 13:00 - 15:00||20.10.2017||G29-E037|
If you have any questions about the lecture or the exercises, please contact us via e-mail:
- Document Pre-Processing
- The Vector Space Model
- Probabilistic Information Retrieval (update on 01.12.2017)
- Designing Search Experience
- Web Search & Link Analysis
- Web Search - Crawling
- Assignment sheet 1 (until 20. Oct. 2017)
- Assignment sheet 2 (until 27. Oct. 2017)
- Assignment sheet 3 (until 03. Nov. 2017)
- Assignment sheet 4 (until 10. Nov. 2017)
- Assignment sheet 5 (until 17. Nov. 2017)
- Assignment sheet 6 (until 24. Nov. 2017)
- Assignment sheet 7 (until 01. Dec. 2017)
- Assignment sheet 8 (until 08. 15. Dec. 2017)
- Assignment sheet 9 (until 22. Dec. 2017)
- Assignment sheet 10 (until 12. Jan. 2018)
- Assignment sheet 11 (until 19. Jan. 2018)
- Assignment sheet 12 (until 26. Jan. 2018)
- 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)
- Soft Computing in Information Retrieval, Fabio Crestani and Gabriella Pasi, Physica Verlag, 2000.
- 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.