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Information Retrieval and Web Search

Module code: CS7IS3 · Semester: Semester 1

Questions by Year​

0 of 2 done · tick papers and add notes as you go

Papers open on tcd.ie (sign in to TCD first).

Topics

  • Boolean retrieval and web search LO6
  • Text processing: stop words, stemming, spelling correction LO1
  • Index construction and compression LO2
  • Ranking: BM25, vector space, probabilistic IR, PageRank LO3
  • Relevance feedback LO4
  • Classification: Naive Bayes, kNN LO7
  • Evaluation: precision, recall, F-score, NDCG LO5
  • Link analysis, web crawling and question answering LO6–7
Learning outcomes
  1. Explain indexing: stop words, stemming and language dependence
  2. Understand data structures for retrieval, especially inverted files
  3. Know ranking models: tf-idf, vector space, probabilistic, language models
  4. Apply relevance feedback
  5. Evaluate search engines with precision, recall and test collections
  6. Appreciate search in different settings: web, multimedia, mobile, patents, microblogs
  7. Combine search technologies into new applications

Summarised from the module descriptor, checked November 2026.