Modern information retrieval FDA198, 2006VT Status Archive School Computer and Information Science (CIS) Division ADIT Owner Juha Takkinen

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Course plan

No of lectures

10 h lectures, 5 h seminars.

Recommended for

Doctoral students in computer science.

The course was last given

new course

Goals

Information retrieval (IR) is an area which has witnessed a lot of progress during the last decade, much due to the development of the WWW. It has now reached a level of maturity where it is being applied to a large number of real-world problems, and not only text documents. The focus lies on computer algorithms and techniques used in IR systems. More specifically, the course aims at giving students a good understanding of modern information retrieval (IR) and search engine techniques, and the kind of problems they address. The course also touches on the next generation of the web, namely the semantic web, and its consequences for IR research.

Prerequisites

Organization

Lectures, seminars, project.

Contents

introduction to IR concepts: keyword, document, query, extracting, indexing, etc.
IR models, and weighting and matching against indices
assessing IR and mathematical foundations
user interfaces and visualizaton of IR
multimedia IR
inferencing and adaptive IR
IR future

Literature

Belew, Richard (2000), Finding out about: a cognitive perspective on search engine technology and the WWW. Cambridge. ISBN 0-521-63028-2.
van Rijsbergen, C. J. (1979), Information retrieval. Butterworths. On-line. http://www.dcs.gla.ac.uk/Keith/Preface.html
research papers.

Lecturers

Juha Takkinen,
guest lecturers

Examiner

Nahid Shahmehri

Examination

Assignments, paper review, and project.

Credit

5,0 points (3 + 2)

Comments

Page responsible: Director of Graduate Studies