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Web Information Retrieval 



The SVN repository to submit your assignments is:

Replace GROUPNAME with your group name in lower case letters. Please remember to have your assignments in different folders under "solutions".


Slides and additional material will be provided along with the progress of the lecture.

Lecture Schedule
Date Topics
15.04.2018 Organization (PPT) Introduction to IR (PPT)
29.04.2018 Evaluation Methods (PPT) (PDF)
06.05.2018 Boolean Model (PPT) (PDF)
15.05.2018 Vector Space Model (PPT) (PDF)
20.05.2018 Probabilistic Language Model (PPT) (PDF)
27.05.2018 Web Search Characteristics (PPT) (PDF)
03.06.2018 Web Crawling (PPT) (PDF)
10.06.2018 PageRank (PPT) (PDF)
17.07.2018 User interfaces, Visualizations, Eyetracking (PPT) (PDF)
01.07.2018 Multimedia Retrieval (PDF)

It is highly recommended that you follow a textbook while taking the lecture. The textbooks are probably able to address the most question you might have about the content of the lecture:

  • Introduction to Information Retrieval. Manning, Raghavan, Schütze, Cambridge University Press, 2008.
    Free, electronic versions available at
  • Web Data Mining. Liu. Springer, 2007.
  • Modern Information Retrieval. Baeza-Yates, Ribeiro-Neto, ACM Press, 2012.

Introduction to Python Programming



Due Date


Assignment 1, PDF 22.04.2019 23&25.04.2019
Assignment 2, PDF 06.05.2019 07&09.05.2019
Assignment 3, PDF 13.05.2019 14&16.05.2019
Assignment 4, PDF 20.05.2019 21&23.05.2019
Assignment 5, PDF 27.05.2019 28&30.05.2019
Assignment 6, PDF    
Assignment 7, PDF    
Assignment 8, PDF    


Important Information


Students need to accomplish at least 50% of the assignments in order to attend the final exam. Plagiarism is strictly forbidden and will result in disqualification from the final exam, on both sides of the plagiarism (copying and being copied). Students are also expected to explain some of the assignments.

Last Year Students 

Students who failed to secure passing grades last year can directly appear for the examinations this year. However, it is advisable to participate in the course and the tutorials.

Organizational Information

Lecture (Klips)

  • Lecturer: Dr. Chandan Kumar
  • Mondays, 18:00 - 20:00, E 313

Tutorial (Klips)

  • Instructor: Korok Sengupta 
  • Tuesday, 12:00 - 14:00, C 206
  • Thursday, 12:00 - 14:00, E 314
  • You don't need to come to both slots for the tutorial. We will cover the same material on Tuesdays and Fridays.

If you ever have any questions or want to discuss something about the lecture or the assignments, feel free to ask

  • your colleagues
  • mailing list (this will be prepared soon after you complete your registration for the tutorials.)
  • the teachers via e-mail


Dr. Chandan Kumar

Korok Sengupta

Tara Morovatdar