Welcome to the Wiki of the course "Information Retrieval" in the winter semester 2022/2023
The course is given by Prof. Dr. Hannah Bast and assisted by Natalie Prange. It takes place every Tuesday from 14:05 - 15:50 h in the seminar room 101-1-9/13 and on Zoom (meeting link, meeting ID: 668 8383 5704, passcode: IRWS22/23). The first lecture is on Tuesday 18.10.2022 and the last lecture is on Tuesday 07.02.2023. There will be no lectures on the Tuesdays 01.11.2022 (All Saints), 27.12.2022, 03.01.2023 (Christmas break) and one additional date (to be announced).
The tutors for this course are Daniel Bindemann, Patrick Brosi, Johannes Kalmbach, Elias Kempf, Robin Textor-Falconi and Sebastian Walter. The administrator of the supporting systems (Daphne, SVN, Forum, Jenkins) is Axel Lehmann.
Important Links
Our course management system Daphne (login with your RZ user name and password).
The forum for announcements and questions.
The manual for how to ask questions on the forum.
Our rules for the exercise sheets. Please read them carefully, completely and before you start working on the exercises. They are valid for all exercise sheets of this course.
Our CodingStandards for C++, Java and Python 3.
Information about Subversion (SVN) can be found here (in German) and here (in English); about some editors (including Vim) here (in German); and about the installation of gtest (for C++ only) here (in English).
The courses from previous semesters: Information Retrieval WS 21/22, Information Retrieval WS 19/20, Information Retrieval WS 18/19, Information Retrieval WS 17/18, Information Retrieval WS 16/17, Information Retrieval WS 15/16, Information Retrieval WS 13/14, Information Retrieval WS 12/13.
The exams from previous semesters: WS 21/22, WS 19/20, WS 18/19, WS 17/18, WS 16/17, WS 15/16, WS 13/14, WS 12/13.
Here you can download our Linux Image (for Virtualbox or VMWare).
A cheat sheet for NumPy and SciPy can be found here.
Lecture Slides, Video Recordings, Exercise Sheets, and Code
Lecture 1, Tuesday, October 18, 2022 (Introduction, Inverted Index, Zipf's Law):
Video Recording, Slides, Exercise Sheet 1, Code from the lecture + unit tests for Exercise Sheet 1, Dataset for ES1 (104,609 movies with title + description + 3 columns with scores that you can ignore for now).