Information Retrieval

The course concerns automatic document storage and retrieval. In this case, the term document includes sounds and images as well as text. With this course you will learn about file organising, query operations, document operations and knowledge-based textual and multimedia information retrieval.

Knowledge. Students will acquire knowledge related to pre-processing, modeling, indexing, and querying of large collections of text documents. Concretely, students will acquire knowledge about document pre-processing, information retrieval models, query reformulation, evaluation of information retrieval systems, indexing, web search, neural search, and multimedia indexing.

Skills. After completion of the course the students should be able to implement a search engine that indexes a large document collection, which the users can query for their information needs.

The course will consist of in-person lectures, tutorial sessions, and assignments. The assignments will consist of problem solving tasks and hands-on programming exercises.