Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
  
 

Information Retrieval and Web Search

Lecturer: Dr. Ralf Krestel

Assistant: Julian Risch

The lecture takes place on Mondays, 11:00 to 12:30, and Wednesdays, 11:00 to 12:30, in G-E 15/16 on Campus III. Approximately after each two lectures there will be one exercise session.

This course will be offered in English!

Course Description

Finding Information is a key component in many applications: from recommending products on e-commerce platforms to diagnose cancer cells. Historically, information retrieval is tightly coupled with libraries. With the advent of computers and subsequently the internet, web retrieval and text search engines became the most prominent information retrieval domain.

In this course, we want to look at basic information retrieval concepts: indexing, retrieval models, querying, interfaces, evaluation. Further, we will have a look at current research trends focusing around machine learning to improve search. And finally, we look at web search, specifically at performance, crawling, link analysis, and social search.

Grading

  • 30% Software Project (Teams of size two)
  • 70% Final Exam
  • Requirement for participation in the final exam is to reach 70% of the points in 7 out of the 8 homework assignments and at least 50% in the remaining one.
  • The homework assignments should be worked on in the same teams of size two.

Resources

The slides and assignments can be found in the internal area. The submission system can be found here. Choose a newspaper here.

Schedule

Date|Topic  
16.10.17|Introduction, Architecture STARTS AFTER LIZ BLACKBURN'S TALK (~11:15-11:30)  
18.10.17|Basics  
23.10.17|Text Aquisition  
25.10.17|Exercise1  
30.10.17|Text Transformation  
01.11.17|Index Creation  
06.11.17|Exercise 2  
08.11.17|Retrieval Models I  
13.11.17|Retrieval Models II  
15.11.17|Exercise 3  
20.11.17|User Interaction I  
22.11.17|User Interaction II  
27.11.17|Exercise 4  
29.11.17|Evaluation  
04.12.17|Document Organization  
06.12.17|Exercise 5  
11.12.17|Learning to Rank  
13.12.17|Topic Models  
18.12.17|Distributed Representation  
20.12.17|Exercise 6  
25.12.17|Holiday  
27.12.17|Holiday  
01.01.18|Holiday  
03.01.18|Holiday  
08.01.18|Web Search  
10.01.18|Performance  
15.01.18|Exercise 7  
17.01.18|Link Analysis  
22.01.18|Social Search  
24.01.18|Exercise 8  
29.01.18|Personalization  
31.01.18|Multimedia IR  
05.02.18|Exercise 9  
07.02.18|Software Project Evaluation  
13.02.18|Exam in HS 3 from 10:00 to 11:00  

Textbooks

  • Search Engines: Information Retrieval in Practice by W. Bruce Croft, Donald Metzler, and Trevor Strohman
  • Information Retrieval: Implementing and Evaluating Search Engines by Stefan Büttcher, Charles L. A. Clarke, and Gordon V. Cormack
  • Modern Information Retrieval by Ricardo Baeza-Yates and Berthier Ribeiro-Neto
  • An Introduction to Information Retrieval by Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze