Information Retrieval

General Information

This web page provides information on the course "Information Retrieval" (winter term 2016/2017). The updates of this web page will be done through the course after each lecture.

Information retrieval focuses on obtaining, extracting or mining information from a collection of often unstructured resource of text documents, images or videos. Information retrieval consept is applied in internet search engines, digital libraries and multimedia archive like image and vedio-databases. In this lectures the basis of information retrieval will be introduced and illustrated based on some specific application areas.

Requirements for Participation in the Final Exam

For the practice part there are exercise sheets. These exercises will be voted by everyone of the participants. A voting shows whether a paticipant is ready to present a solved task in front of the class. The solutions will be discussed, i.e., they do not have to be the full right solutions, but it should reflect that the participant at least has been worked in depth to figure out the solution.

In addition to the theoretical practice, there are programming tasks (assignments) that will be submitted and evaluated with points. These tasks should be processed in groups of 3-4 students. The deadline for submission will be announced for each assignment (usually a time of  two or three weeks is determined to achive each task).

The requirements for participation in the final exam (oral or written) are:

  • at least 50% of all programming points,
  • at least 66% of votes for all other exercise tasks and
  • at least one time presentation of a solution in front of the class.

For "Schein" you have to write and pass the exam.

Dates and Rooms

  Time Start Room
Lecture Thu 15:15 - 16:45 o'clock 13.10.16 G22A-105
Exercise (1st group) Monday  11:15 - 12:45 o'clock 17.10.16 G05-307
Exercise (2nd group) Wednesday 9:15 - 10:45 o'clock 26.10.16 G05-211
Exam tba tba tba

The date to have a look at your exam (from 28.07.2017), in order to know, what you have made right and wrong is 06.10.2017, 10 a.m., room G29-128.

Teaching Staff

If you have any questions about the lecture or the exercises, please contact us via e-mail:

Lecture:

Exercise:

Materials

Lecture Slides

Exercise Sheets

Programming Tasks

Additional Material

Literature

    • 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.

Last Modification: 12.09.2017 - Contact Person:

Sie können eine Nachricht versenden an: Prof. Dr.-Ing. Andreas Nürnberger
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