Introduction to information retrieval with a focus on text documents and images. Main topics comprise extraction of characteristic features from documents, index structures, retrieval models, search algorithms, benchmarking, and feedback mechanisms. Searching the web, images and XML collections demonstrate recent applications of information retrieval and their implementation.
In depth understanding of managing, indexing, and retrieving documents with text, image and XML content. Knowledge about basic search algorithms on the web, benchmarking of search algorithms, and relevance feedback methods.
Performance assessment information (valid until the course unit is held again)
The performance assessment is only offered in the session after the course unit. Repetition only possible after re-enrolling.
Mode of examination
written 90 minutes
Additional information on mode of examination
The final course grade is comprised of two components: A written exam (70%), and two practical projects (2*15% = 30%) to be completed individually. The first project is concerned with conducting a few basic result ranking experiments (due: Oct 22), while in the second one, you will build a tiny search engine all relevant components (due: Nov 26).
This information can be updated until the beginning of the semester; information on the examination timetable is binding.