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Archived Curricula Guide 2012–2015
Curricula Guide is archieved. Please refer to current Curricula Guides
ITIS12 Information Retrieval Methods 5 ECTS
Organised by
Degree Programme in Information Studies and Interactive Media
Information Studies and Interactive Media
Preceding studies
Recommended:
Corresponding course units in the curriculum
School of Information Sciences
Curricula 2011 – 2012

Learning outcomes

After completing the course a student is expected to be able to:

-be familiar with essential models of Information Retrieval and able to assess their strengths
-be familiar with essential classification and clustering and able to assess their strengths
-be familiar with essential methods of search and recommendation in social media and personalization
-use and assess tools implementing these methods and interpret the results given by these tools

Contents

Queries and interfaces. Retrieval Models: Boolean and fuzzy Boolean, Vector Space, classical Probabilistic, and Language Models. Fuzzy string matching methods. Classification and clustering methods. Methods of search and recommendation in social media and personalization.

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Participation in course work 
In Finnish
Option 2
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Written exam 
In Finnish
In English
Option 3
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Essay 
In Finnish

Evaluation

Numeric 1-5.

Study materials

  • Croft, Metzler & Strohman, Search Engines: Information Retrieval in Practice. Addison-Wesley. 2010.
  • Manning, Raghavan & Schuetze, Introduction to Information retrieval. Cambridge University Press. 2009.

Belongs to following study modules

2014–2015
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
School of Information Sciences