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  • Lecture 1: Introduction to IR
  • Lecture 2: Boolean Retrieval & Inverted Index
  • Lecture 3: Data Structures & Tolerant Retrieval
  • Lecture 4: Term Weighting & Vector Space Model
  • Lecture 4: VSM (recording of the online session)
  • Lecture 5: Classic Probabilistic Retrieval
  • Lecture 6: Language Modeling for Information Retrieval
  • Lecture 7: Relevance Feedback & Query Expansion
  • Lecture 8: Latent & Semantic Retrieval
  • Lecture 9: Classification, Clustering and Learning to Rank
  • Lecture 9: Classification, Clustering, and Learning to Rank (online lecture recording)
  • Lecture 10: Neural Learning to Rank
  • Lecture 11: IR Evaluation
  • Lecture 12: Link Analysis in Web Search
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  • Exercise 01
  • Exercise 01 - Solution
  • Projects - Intro
  • Exercise 02
  • Exercise 02 - Solutions
  • Exercise 03 - Relevance Feedback & Semantic Retrieval
  • Exercise 03 - Solutions
  • Exercise 04 - Machine Learning, Evaluation & PageRank
  • Exercise 04 - Solutions
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  • Results of the second exam (11.10.2023)
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  3. Übungen
  4. 8. Übungsblatt

8. Übungsblatt

Completion requirements
Opened: Thursday, 22 December 2022, 2:00 PM
Due: Thursday, 12 January 2023, 2:00 PM
ads-ws22-ueb08.pdf ads-ws22-ueb08.pdf
23 December 2022, 3:36 PM
◄ 7. Übungsblatt
9. Übungsblatt ►

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