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Theory of Information Retrieval
This course will introduce students to theories, models, and systems of information retrieval (IR). These will include the models of representation for data/information/knowledge and user needs/queries; the models and mechanisms of information relevance establishment, information filtering and personalization; and the models and measures for IR system performance evaluation.
Course Overview
LIS5703 Information Organization
600 W College Avenue
Tallahassee, FL 32306
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Learning Objectives
- Discuss the major milestones of historical development of IR systems and understand their implications to IR research and practice.
- Explain the major theories and algorithms ‘powering’ the modern search engines.
- Discuss the models and methodologies of IR system evaluation, and the applications and limitations of current IR performance measures and other proposed performance measures.
- Describe Semantic Web technologies and their use in IR.
- Discuss some of the social issues associated with the practical implementations of the IR models.
- Describe the techniques and strategies used to optimize websites for search engines.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.