Course in Information Retrieval
General Information
| Lecturer | Jun.-Prof. Dr. Martin Potthast |
| Lab Advisor | Shahbaz Syed |
| Workload | 2 SWS Lecture, 3 SWS Lab |
| Lecture | Mondays, 11:15 - 12:45, HS 19, starting April 1 |
| Lab | Tuesdays, 09:15 - 11:45, Hs 19, as announced, starting April 9 |
| Contact | Email, or via Slack group at irlecture.slack.com |
| Exam |
Written exam on July 29, 2019, 10:00-11:30, Audimax. Written exam on September 26, 2019, 09:00-10:30, S126. |
News
- The results of the first exam are released.
- The date of the second exam will likely be September 26, 2019, 09:00-10:30, in room S126.
- As an aid for the exam, you are allowed to bring a sheet of A4 paper with handwritten notes on one side only. No printed pages are allowed.
Lecturenotes
- Information Retrieval » Introduction » Organization, Literature
- Information Retrieval » Introduction » Retrieval Problems
- Information
Retrieval » Introduction » Architecture of a Search Engine
- Information Retrieval » Evaluation » Laboratory Experiments
- Information Retrieval » Evaluation » Performance Measures
- Information
Retrieval » Evaluation » Training and Testing
- Information Retrieval » Text Transformation » Text Statistics
- Information Retrieval » Text Transformation » Parsing Documents
- Information Retrieval » Text Transformation » Information Extraction
- Information Retrieval » Text Transformation » Link Analysis
- Information Retrieval » Indexing » Inverted Indexes
- Information Retrieval » Indexing » Query Processing
- Information Retrieval » Indexing » Index Construction
- Information Retrieval » Retrieval Models » Overview of Retrieval Models
- Information Retrieval » Retrieval Models » Empirical Models
- Machine Learning » Statistical Learning » Probability Basics
- Machine Learning » Statistical Learning » Bayes Classificatrion
- Information Retrieval » Retrieval Models » Probabilistic Models
- Information Retrieval » Retrieval Models » Algebraic Models
- Information Retrieval » Retrieval Models » Generative Models
Lab
The lab consists of building an information system for a specific domain. This entails data acquisition,
data cleansing, indexing, selection and implementation of a suitable retrieval model, development of a UI,
evaluation of search quality, submission of a short written report as well as well-documented source code,
and a final presentation.
Successful participation in the lab is a prerequisite to be admitted to the exam.
Lab classes
- 2019-04-01. Introduction. [slides] [project proposal form]
- 2019-04-09. Final presentations of previous term.
- 2019-04-16. Project fair. [slides] [project registration form]
Registration Deadline: Thursday, April 18, 2019. - 2019-05-21. Project presentations. (canceled)
- 2019-05-28. Project presentations. [slides]