Related courses
| No. | Type | Course name | Participation | TWS |
| 38511 | VÜ | Information Retrieval | Compulsory | 6 |
| Total (Compulsory and elective) | 6 | |||
Recommended prerequisites
Students should have basic programming skills and a basic understanding of algorithms and data structures.
Qualification objectives
Students learn about the tasks, models and methods of information retrieval. The aim is to convey the ability to use and participate in the conception and configuration of search engine solutions for web and enterprise search. In addition, the advantages and disadvantages of the underlying concepts and models as well as the various implementation techniques should be understood.
Contents
This module provides an insight into the most important topics of information retrieval. The basics of the most important models in the field of information retrieval are taught. In addition, techniques and procedures such as term weighting, similarity measures and ranking mechanisms, evaluation principles, user interaction and feedback mechanisms as well as indexing and computer linguistic tools for the field of information retrieval are dealt with in detail.
Theoretical and practical issues are dealt with equally in the exercise. The theoretical part serves to repeat the contents of the lecture. In the practical part, students are asked to implement selected methods from information retrieval independently. Programming skills are required for the exercises.
Literature
- Chris Manning, Prabhakar Raghavan, Hinrich Schütze: Introduction to Information Retrieval, 2009 Cambridge University Press. https://nlp.stanford.edu/IR-book/pdf/irbookonlinereading.pdf
- Dirk Lewandowski: Web Information Retrieval – Technologien zur Informationssuche im Internet, Deutsche Gesellschaft f. Informationswissenschaft u. Informationspraxis, 2005.
Proof of performance
Written examination lasting 60 minutes or oral examination lasting 30 minutes. The type of examination will be announced at the beginning of the module.
Applicability
Participation in the courses of this compulsory elective module enables students to complete a Master's thesis in the field of data science with a focus on information retrieval.
Duration and frequency
The module lasts one trimester and begins each year in WT.