Course in Information Retrieval

• General Information
• Announcements
• Lecturenotes
• Lab Project

General Information

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.
• Examination will take place as written exam.
• Communication
  • Lecture website - materials and announcements will be uploaded on this website.
  • Email - important announcements will be sent out via mail.

Lecturenotes

• 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]
• (Hint Masterstudiengang Medizininformatik)
• Information Retrieval » Introduction » Architecture of a Search Engine
  In-person: [video 1] Pre-recorded: [video 7] [video 8] [video 9] [video 10] [video 11] [video 12] [video 13] [video 14]
  
  
• Information Retrieval » Evaluation » Laboratory Experiments
  In-person: [video 2] Pre-recorded: [video 30]
• Information Retrieval » Evaluation » Effectiveness Measures
  In-person: [video 3] Pre-recorded: [video 31] [video 32] [video 33]
• Information Retrieval » Evaluation » Training and Testing
  In-person: [video 4] Pre-recorded: [video 34]
  
  
• Information Retrieval » Indexing » Indexing Basics
  In-person: [video 5] Pre-recorded: [video 17]
• Information Retrieval » Indexing » Inverted Index
  In-person: [video 6] Pre-recorded: [video 18] [video 19] [video 20] [video 21]
  
  
• Information Retrieval » Retrieval Models » Overview of Retrieval Models
  In-person: [video 9] Pre-recorded: [video 22]
• Information Retrieval » Retrieval Models » Unigram Models 1
  In-person: [video 10] Pre-recorded: [video 23]
• Machine Learning » Bayesian Learning » Probability Basics
  In-person: [video 11] Pre-recorded: [video 24] [video 25]
• Machine Learning » Bayesian Learning » Bayes Classifier
  In-person: [video 12] Pre-recorded: [video 26]
• Information Retrieval » Retrieval Models » Unigram Models 2
  The lecture on June 24th has to be canceled due to illness. Please use the following lecture videos instead!
  In-person: [video 13] Pre-recorded: [video 27] [video 28]
• Information Retrieval » Retrieval Models » Sequence Models
  Pre-recorded: [video 29]
  
  

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.
Deliverables are to be handed in by mail to the lab supervisors and/or Tira.

Project reports are expected to be 3 pages, including references, tables, and figures.
Please format your report using the official ACM template (available below for both LaTeX and Word); it should be single-column layout with no copyright notice. For LaTeX, this can be achieved by setting \documentclass[manuscript]{acmart} and \setcopyright{none} in the preamble.

• [LaTeX Guidelines] [LaTeX Template] [Overleaf Template]
• [Word Guidelines] [Word Template]

Date	Title	Materials	Deliverables
15.04.2024	Lab Overview, Group Formation Milestone I Information Session	[slides] [sample topic file] [notebook]
22.04.2024	Milestone II information session	[slides]	Milestone I due Topic XML file (see example) via mail.
06.05.2024	Milestone III information session	[slides] [video]	Milestone II due Complete relevance annotations on Doccano.
27.05.2024	Project Q&A
17.06.2024	Project Q&A
01.07.2024	Wrap up Questions/Comments/Concerns Canceled due to illness. Report deadline until end of day still stands!		Milestone III due Improved Software submission on TIRA. Hand in report as PDF via mail.