|The objective of this course is to introduce students to the theoretical background and practical aspects of modern Information Retrieval (IR) as well as machine learning/data mining techniques that are used for IR. After taking the course, each student should:|
know the basic principles and techniques of IR, including also machine learning approaches, for organization and management (e.g. indexing, clustering, classification, matching to user information needs)of various information objects (e.g. documents, Web pages, multimedia);
become aware of various application areas of IR, existing IR systems, and challenging research topics in IR;
obtain skills for IR design, development and evaluation.
During the course students will practice different skills studying (research) literature, and working on the individual and group assignments for the course project.
Entrance requirementsEntrance requirements tests -Assumed previous knowledge
|The course 'Information Retrieval' covers the following main topics: classical text retrieval models including Boolean retrieval, vector space retrieval, probabilistic retrieval, and relevance feedback and query expansion mechanisms; information retrieval on the Web, including link mining and web usage mining approaches; and multimedia retrieval. We will also cover data mining foundations for studying the application of learning to rank, classification, clustering and association analysis techniques for better organization of information objects and for user modeling that facilitates personalized and adaptive information retrieval.|
Previous knowledge can be gained byResources for self study
|2IL05 Data structures|
2DI05 Lineaire algebra
|Bachelor College or Graduate School|
|Informatica, Web Engineering, Tel: 2602, Kamer: MF 7.101, Email: email@example.com|
|Computer science, Web Engineering, Phone: 2602, Room: MF 7.101, Email: firstname.lastname@example.org||Required materials|
Recommended materials-Instructional modes
|ISBN: 0521865719. The book is available online (free access) http://nlp.stanford.edu/IR-book/
Additional reading material will be provided during the course.|
|Title||:||Introduction to Information Retrieval|
|Author||:||Christopher Manning, Prabhakar Raghavan, Hinrich Schütze|
|Publisher||:||Cambridge University Press, 2008|
|Number of opportunities||2|
|Opportunities||Block 1, Block 2|
|Test duration in minutes||180|
RemarkPartial exam (written, open book). There is no resit for the partial exam.
Group project (report and interactive