Web Mining (FSS2023)

The vast amounts of textual content and structured data found on the Web provide us with a goldmine of data that can be mined to derive knowledge about nearly any aspect of human life. The course covers techniques for extracting knowledge from Web content as a basis for business decisions and applications. The course will cover, among others, the following topics:

  • Web Usage Mining (including Recommender Systems)
  • Web Structure Mining (including Social Network Analysis)
  • Web Content Mining (including Sentiment Analysis)

The course consists of a lecture as well as accompanying practical projects. The lecture (IE671) covers the theory and methods of web mining and is concluded by a written exam (3 ECTS). In the projects (IE684), students will gain experience with web mining methods by applying them within a real-world use case of their choice. Students will work on their projects in teams and will report the results of their projects in the form of a written report as well as an oral presentation (together 3 ECTS). While the lecture and the project can be attended in seperate years, it is highly recommended to attend both in the same semester as the schedule of the lecture and project are aligned to each other.

Exam Review

The exam review for FSS2023 will take place on Wednesday, 13 September 2023, starting from 9:30.
You have to register for the exam review by writing a mail to Alexander Brinkmann until Tuesday, 6 September 2023. 

Time and Location

  • Start: 14.2.2023
  • Tuesday, 10:15 to 11:45, B6 A101.
  • Thursday, 13:45 to 15:15, B6 A203.

Final mark

  • 100% written exam (IE671)
  • 100% project work (IE684)


WeekLecture (Tuesday 10:15–11:45)Exercise (Thursday 13:45–15:15)
14.02.2023Introduction and Course Outline -
21.02.2023Web Usage Mining (Bizer)Web Usage Mining
28.02.2023Web Usage Mining (Bizer)Web Usage Mining
07.03.2023Web Structure Mining (Bizer)Web Structure Mining
14.03.2023Web Structure Mining (Bizer)Web Structure Mining
21.03.2023Web Content Mining (Ponzetto)Web Content Mining
28.03.2023Web Content Mining (Ponzetto)Web Content Mining
 - Easter break - 
18.04.2023Introduction to the Student ProjectsPreparation of project outlines
25.04.2023Feedback on the projects outlineProject work
02.05.2023Project workCoaching
09.05.2023Project workCoaching
16.05.2023Project workCoaching
23.05.2023Project workCoaching
30.05.2023Project presentations-
16.06.2023Final exam  -

Lecture Slides and Exercises

Lecture Slides:


  • 23.02.2023: Web Usage Mining – Part 1 (Task and Notebook)
  • 02.03.2023: Web Usage Mining – Part 2 (Task and Notebook)
  • 09.03.2023: Web Structure Mining – Part 1 (Notebook)
  • 16.03.2023: Web Structure Mining – Part 2 (Notebook)
  • 23.03.2023: Web Content Mining – Part 1 (Notebook)
  • 30.03.2023: Web Content Mining – Part 2 (Notebook)

Lecture Videos