ITIS13 Information retrieval methods 5 ECTS
Organised by
Degree Programme in Information Studies and Interactive Media
Preceding studies
Compulsory:
Corresponding course units in the curriculum
School of Information Sciences
Curricula 2015 – 2017

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.

Teaching methods

Teaching method Contact Online
Lectures
Group work
Exercises

Teaching language

Finnish

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

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

Faculty of Natural Sciences
Faculty of Communication Sciences
Faculty of Communication Sciences
2017–2018
Teaching
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Faculty of Communication Sciences