Course in Information Retrieval

• General Information
• Announcements
• Lecturenotes
• Lab Project

General Information

Announcements

Organization

• Lectures will take place in person, but have additionally been prerecorded. The videos can be accessed by following the lecturenotes below, or on the Webis youtube channel. [playlist]
• Lab and corresponding material consists of a project in which you program your own domain-specific information retrieval system. We will have regular tutorial sessions from April 4th on.
• Examination consists of a written exam, a written report, and a 15 minute talk.
• Communication
  • Lecture website - materials and announcements will be uploaded on this website.
  • Email - important announcements will be sent out via mail.

Lecturenotes

Week 1 - Introduction and Organization
• Information Retrieval » Introduction » Organization, Literature
  Pre-recorded: [video 1]
• Information Retrieval » Introduction » Retrieval Problems
  Pre-recorded: [video 2] [video 3] [video 4] [video 5] [video 6]
• Information Retrieval » Introduction » Architecture of a Search Engine (in short)
  
  
Week 2 - Search Engine Architecture & Evaluation I
• Information Retrieval » Introduction » Architecture of a Search Engine (in detail)
  Pre-recorded: [video 7] [video 8] [video 9] [video 10] [video 11] [video 12] [video 13] [video 14]
• Information Retrieval » Evaluation » Laboratory Experiments
  Pre-recorded: [video 30]
  
  
Week 3 - Evaluation II
• Information Retrieval » Evaluation » Effectiveness Measures
  Pre-recorded: [video 31] [video 32] [video 33]
• Information Retrieval » Evaluation » Training and Testing
  Pre-recorded: [video 34]
  
  
Week 4 - Indexing I (introduction)
• Information Retrieval » Indexing » Indexing Basics
  Pre-recorded: [video 17]
• Information Retrieval » Indexing » Inverted Index
  Pre-recorded: [video 18] [video 19] [video 20] [video 21]
  
  
Week 5 - Indexing II (index compression, delta compression, elias-gamma coding)
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Week 6 - Retrieval Models I (unigram models)
• Information Retrieval » User Interface » Information Needs
• Information Retrieval » Retrieval Models » Overview of Retrieval Models
  Pre-recorded: [video 22]
• Information Retrieval » Retrieval Models » Unigram Models 1
  In-person: [video 10] Pre-recorded: [video 23]
• Information Retrieval » Retrieval Models » Unigram Models 2
  In-person: [video 13] Pre-recorded: [video 27] [video 28]
Week 7 - Retrieval Models II (rank fusion, learning to rank)
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Week 8 - Retrieval Models III (language models)
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Week 9 - Retrieval Models IV (dense retrieval)
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Week 10 - Queries I (query expansion, query refinement, query performance prediction)
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Week 11 - Queries II (extended Boolean model, p-norm model, fuzzy set model)
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Week 12 - Domain Specific Retrieval (health search, argument search, academic search)
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Lab

The lab project consists of building and evaluating an information system for a specific domain. This entails data processing, implementing retrieval methods, and an analysis of the retrieval system.
Lab project material will be published here over the course of the semester.

Date	Title	Description	Materials	Deliverables
XX.XX.2023	Session 1	Introduction & Lab Setup Group Formation	[material]
XX.XX.2023	Session 1	Introduction & Lab Setup Group Formation	[material]	Topic Definitions
XX.XX.2023	Session 1	Introduction & Lab Setup Group Formation	[material]	Run Submission
XX.XX.2023	Session X	... ...	[...]	Relevance Annotations
XX.XX.2023	Session 1	Introduction & Lab Setup Group Formation	[material]	Project Presentations