Course content

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.

Learning outcome

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.

Learning methods and activities

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.

Compulsory assignments

• Exercises

Recommended previous knowledge

IT1104 Programming Advanced Course/TDT4100 Object-Oriented Programming and IT1607 Introduction to Databases/TDT4145 Data Modelling, Databases and Database Management Systems.

Course materials

Ricardo Baeza-Yates and Berthier Ribeiro-Neto, Modern Information Retrieval, 2. utgave, 2011 (mendatory). Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008 (recommended).

Credit reductions