Résumé de section

◄General
►Lectures

  • The dates and order/content of the lectures are still tentative, that is, subject to possible (minor) changes.

    22.4. L1: Intro to IR
    29.4. L2: Boolean & Inverted Index
    6.5. L3: Data Structures & Tolerant Retrieval
    13.5. L4: VSM (online)
    27.5. L5: Classic Probabilistic Retrieval
    3.6. L6: Query Likelihood Model
    10.6. L7: Relevance Feedback & Query Expansion
    17.6. L8: Semantic Search
    24.6.   L9: Classification, Clustering, Learning to Rank
    1.7.   L10: Neural Learning to Rank, Evaluation
    8.7. L11: Link Analysis & Web Search

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    22.7. Student project presentations

◄General
►Lectures