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SS23_IR
Lectures
Lecture 11: IR Evaluation
Lecture 11: IR Evaluation
Completion requirements
Click
11-Evaluation.pdf
link to view the file.
◄ Lecture 10: Neural Learning to Rank
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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 12: Link Analysis in Web Search
Submission of project presentation and code
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
Results of the second exam (11.10.2023)
Lecture 12: Link Analysis in Web Search ►
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