Modules

Prerequisites

Contents

The goal of information retrieval is the search for text documents. With the growth of the internet this goal gained much importance. The course introduces several information retrieval models and algorithms. Furthermore, concepts of how to evaluate retrieval results will be discussed. The content of the course is: • Motivation and introduction to the search of textual documents • Evaluation of IR systems • Vagueness in languages • Simple IR models and their implementations • Vector Space Model • Format of document management • Alternatives to global search • Search engines in WWW Acquired knowledge will be applied within a project.

Learning outcomes

Students know about problems, models and methods of information retrieval. This includes understanding the concepts of search engines and implementation with their advantages and disadvantages.

Assessment

Prerequisite: • successful completion in practical training tasks and in exercises tasks Final module examination: • Written examination, 90 min. OR • Oral examination, 30-45 min. (with small number of participants) In the first lecture it will announced, whether the examination will organized in written or oral form.

Remarks

• Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex „Acquisition, Representation, and Processing“ • Study programme Mathematical Data Science M.Sc.: Compulsory elective module in complex „Fundamentals of Data Science“