Course in Information Retrieval

• General Information
• Announcements
• Lecturenotes
• Lab Project

General Information

Announcements

• Please sign this informed consent that allows us to use your data in the SharKI research project. You can hand us the signed documents either in the next exercise session, or drop it in our mailbox "Sekretariat Petra Gamrath" in Augusteum, 5th floow, room A 514. As mentioned in the last lab session, this is voluntary and does not affect your participation in the class but your signature helps us to do our research. Thank you!
• Please fill out this last SharKI survey: GERMAN, ENGLISH
• Exam will take place: 02.08.2023 09:30 pm at Lecture hall 9 (Hörsaalgebäude - Hörsaal 9). Please arrive at least 15 minutes early (room will be open from 9:00)
• You are allowed to bring a handwritten sheet (DIN A4, one side only) with useful information into the exam. The sheet is collected together with the exam at the end of the exam.
• Also allowed to use during the exam is a non-programmable calculator.

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 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
  In-person: [recording failed] Pre-recorded: [video 1]
• Information Retrieval » Introduction » Retrieval Problems
  In-person: [recording failed] Pre-recorded: [video 2] [video 3] [video 4] [video 5] [video 6]
• 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]
  
  
• Natural Language Processing » Words » Text Preprocessing [excerpt]
  In-person: [video 7] Pre-recorded: [video 15]
• Natural Language Processing » Words » Morphological Analysis [excerpt]
  In-person: [video 8] Pre-recorded: [video 16]
  
  
• 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
  In-person: [video 13] Pre-recorded: [video 27] [video 28]
• Information Retrieval » Retrieval Models » Sequence Models
  In-person: [not held in-person] 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.

Lab Lecturenotes

• Session 1 [slides]
• Session 2 [slides][assignment][template notebook]
• Session 4 [slides][template repository for milestone 1]
• Session 5 [template repository for milestone 2]
• Session 6 [slides][template repository for milestone 3]

Lab Sessions

• 2023/04/04 - Session 01: Introduction, Organization, Tutorial
• 2023/04/11 - Session 02: Tutorial, Intro Milestone 1: Data
• 2023/04/18 - Session 03: Q&A
• 2023/05/02 - Session 04: Intro Milestone 2: Methods I
• 2023/05/09 - Session 05: Q&A
• 2023/06/06 - Session 06: Intro Milestone 3: Methods II
• 2023/06/20 - Session 07: Q&A
• 2023/07/11 - Session 08: Orga, Wrap-Up, Questions/Remarks/Concerns

Further Resources

• 01 - Introduction to Python [view] [download]
• 02 - Introduction to Jupyter [view] [download
• 03 - How to commandline [MIT's missing-semester]

Winners of this year's Lab Shared Task

• Chirp
• When You Order Google Scholar on Wish