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Web Information Retrieval

Information Retrieval (IR) is dealing with the storage, representation and management of information items. In a classical setting the information items correspond to text documents. With the advent of the World Wide Web, the methods of IR have been transferred to retrieval on the web. This poses different challenges and has spawned the area of Web Retrieval.

The lecture will give an introduction in established retrieval models for text based documents, models that exploit the graph structure of the WWW, the topic of evaluating the performance of retrieval systems and related tasks like classification and clustering of web documents.

Web Information Retrieval (6 ECTS-Credits) is a lecture given in English that

  • is a mandatory course for master students of Web Science
  • can be taken as an elective course by bachelor and master students of Informatik and Computervisualistik, and by master students of Wirtschaftsinformatik and Information Management

News

Assignments

Assignment Due Date Solution Discussion
Assignment 1, PDF 24.04.2018   (24 & 27).04.2018
Assignment 2 07.05.2018    
Assignment 3 21.05.2018    
Assignment 4 28.05.2018    
Assignment 5 04.06.2018    
Assignment 6 11.06.2018    
Assignment 7 18.06.2018    
Assignment 8 25.06.2018    
Assignment 9 02.07.2018    
Assignment 10 09.07.2018    

SVN

The SVN repository to submit your assignments is: https://svn.uni-koblenz.de/westteaching/ir-ss18/GROUPNAME

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

Tutorial 0 Slides

Overleaf : https://www.overleaf.com/signup?ref=833bbaa826ca

Python Tutorial (Jupyter Notebook)

Material

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

Lecture Schedule
Date Topics
16.04.2018 Organization (PDF) Introduction to IR (PPT) (PDF)
30.04.2018 Evaluation Methods
14.05.2018 Boolean Model
21.05.2018 Vector Space Model
28.05.2018 Probabilistic Language Model
04.06.2018 Probabilistic Retrieval
11.06.2018 Web Search Characteristics
18.06.2018 Web Crawling
25.06.2018 Authority Ranking- Page Rank
02.07.2018 User interfaces, Visualizations, Eyetracking 
09.07.2018 Multimedia Retrieval

It is highly recommended that you follow a textbook while taking the lecture. The textbooks are probably able to address 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 http://informationretrieval.org/
  • Web Data Mining. Liu. Springer, 2007.
  • Modern Information Retrieval. Baeza-Yates, Ribeiro-Neto, ACM Press, 2012.

Important Information

Examination 

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, of 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 
  • Tuedays, 12:00 - 14:00, C 206
  • Fridays, 10:00 - 12:00, E 313
  • You don't need to come to both slots for the tutorial. We will cover the same material 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
  • in our Facebook group (Don't worry if you don't have/want Facebook, joining this group is by no means required, all news will be published here.)
  • the teachers via e-mail
Beteiligte: 

Dr. Chandan Kumar

kumar@uni-koblenz.de

Korok Sengupta

koroksengupta@uni-koblenz.de