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Section outline
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Target audience: The course is recommended for master students of all CS-oriented programs (Master Informatik, Master eXtended AI, Master Business Informatics). Prior knowledge of text analysis or information retrieval knowledge is not needed.
Credits: 5 ECTS
Lectures: Tue, 10.15-11.45 in Übungsraum II (ÜR II, Informatikgebäude)
Exercises: in Gruppen, 2 St., Mi 10-12 SE I, Do 10-12 SE II
Examination: written exam, 90 min -
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The dates and order/content of the lectures are still tentative, that is, subject to possible (minor) changes.
- Lecture 01: Introduction to Information Retrieval (April 25)
- Lecture 02: Boolean Retrieval and Term Indexing (May 2)
- Lecture 03: Data Structures in IR and Tolerant Retrieval (May 9)
- Lecture 04: Term Weighting and Vector Space Model (May 16)
- Lecture 05: Probabilistic IR (May 23)
- Lecture 06: LM for IR, Query Likelihood Model (May 30)
- Lecture 07: Relevance Feedback and Query Expansion (June 6)
- Lecture 08: Latent /Semantic IR Models (June 13)
- Lecture 09: Classification & Clustering, Learning to Rank, Evaluation (June 27)
- Lecture 10: Neural (Re)Ranking Models (July 4)
- Lecture 11: Web Search and Link Analysis (July 11)
- Project presentations (July 18)
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