Skip to main content
Till KTH:s startsida

LI1171 Models of Information Retrieval, Expanded Course 7.5 credits

Information per course offering

Course offerings are missing for current or upcoming semesters.

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus LI1171 (Autumn 2011–)
Headings with content from the Course syllabus LI1171 (Autumn 2011–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

* Models of information retrieval. Vector space models and probability models.
* Search query evaluation, relevance feedback.
* Index contruction, tokenization, vocabularies.
* Semantical models, clusters, statistical thesaurus construction.
* Measures, laws and algorithms for information retrieval.
* Information retrieval on the web.
* Individual studies within some areas of the theory of Information retrieval.
The content of the course may to some extent be adjusted in response to the students.

Intended learning outcomes

On completion of the course, the student shall be able to:
 * describe and explain central theoretical concepts in advanced information retrieval,
 * describe and analyse differences between models of information retrieval, and
 * evaluate the effectivity of search queries through different retrieval measures.

Literature and preparations

Specific prerequisites

Previous registration on a KTH course is mandatory, preferably on a course with mathematical content, since the course in some parts assumes mathematical maturity. Students who have passed the course LI116N will be given priority.

Recommended prerequisites

No information inserted

Equipment

Students should obtain a library card from the KTH Library before starting the course. The first two stages of the course are identical with the course LI116N. Some parts of the course may be given in English.

Literature

Course literature is Manning, Christopher D., Raghavan, Prabhakar & Schütze, Hinrich (2008). Introduction to information retrieval. New York: Cambridge University Press.  (Complementary reading, optional: Croft, Metzler, Strohman. Search Engines: Information Retrieval in Practice.) Additional material, according to the content of the last stage of the course. The students may be requested to individually search for and retrieve relevant material for their own project.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F

Examination

  • INL1 - Assignment, 1.5 credits, grading scale: P, F
  • SEM1 - Seminar, 3.0 credits, grading scale: P, F
  • TEN1 - Examination, 3.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade

A pass mark requires
1. Satisfactory results in exercises and assignments, followed by
2. Satisfactory result on a written exam, followed by,
3. Mandatory and active attendance at seminars with discussions, presentation of material, writing an own paper, defending it, as well as examining other student papers at the seminars.
For students who fail the exams there will be given additional exams according to KTH regulations.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

This course does not belong to any Main field of study.

Education cycle

First cycle

Add-on studies

No information inserted

Contact

Göran Hamrin, ankn. 8951, Mikael Danielsson, ankn. 8957, Rosa Lönneborg, rosa@kth.se, Maria Unger, mariaun@kth.se