document under reconstruction (and always will be)

PV211 -- Introduction to Information Retrieval (Spring 2018)

Intro | News | Lectures | Exercises | Previous courses | Links | Projects |


The course is based on the textbook Manning, Raghavan and Schutze: Introduction to Information Retrieval, taught at Stanford, Munich and other places. In the course you will, among other things, learn how is it possible that Google is able to respond to 10,000+ questions per second from different places on the globe within milliseconds. There are numerous, rich and detailed materials available on Coursera. Several copies of the textbook are available in the library at FI. Also this year, parts about machine (deep) learning will be added, together with topics as image or XML retrieval. Students are encouraged to try active/flipped learning approaches wherever possible.


Lecture slides and other materials

  1. 21. 2. 2018 12:00 D3: Introduction to IR, Boolean Retrieval.
    Boolean retrieval slides 1, IIR chapter 1
    Exercises 1 (IS)
  2. 28. 2. 2018 12:00 D3: Dictionary and Postings' storage (Indexing). Tolerant Retrieval.
    Readings: ternary trees, Soundex demo. Explore Google datacenters (YouTube video).
    Term vocabulary and postings lists slides 2, IIR chapter 2
    Dictionaries and tolerant retrieval slides 3, IIR chapter 3
    Exercises 2 (IS)
  3. 7. 3. 2018 12:00 D3: Index construction, MapReduce, Compression.
    Readings: Index construction slides 4, IIR chapter 4
    Compression slides 5, IIR chapter 5
    Exercises 3 (IS)
  4. 14. 3. 2018 12:00 D3: Vector Space Model, IR system architecture.
    Readings: Scoring, term weighting, the vector space model slides 6, Vector space model (slides Arguello), IIR chapter 6
    Scoring slides 7, IIR chapter 7
    slides Google architecture (Ed Austin), slides Google infrastructure (Jeff Dean), Jeff Dean (YouTube video), Google Anatomy paper from 1998, Google File System, About Google [searches], Jak funguje Google (YouTube video).
    Complete search system Challenges in Building Google... (slides by Jeff Dean from Stanford CS276 course in 2015).
    Exercises 4 (IS)
  5. 21. 3. 2018 12PM D3: Evaluation, Relevance feedback and Query expansion.
    Readings: Evaluation and result summaries slides 8, IIR chapter 8.
    Query expansion slides 9, IIR chapter 9.
    Exercises 5 (IS)
    MIDTERM test #1
  6. 28. 3. 2018 12PM D3: Classification, SVM.
    Readings: Text Classification and Naive Bayes slides 13, IIR chapter 13.
    Vector Space Classification slides 14, IIR chapter 14.
    Support Vector Machines slides 15a, Learning to Rank slides 15b, (IIR chapter 15).
    Exercises 6 (IS)
  7. 4. 4. 2018 12PM D3: Fulltext Architecture by Vladimír Kadlec (LinkedIn). video (630 MiB, MP4) , slides (500 KiB, PDF)
    Abstract: The talk covers all basic web search engine blocks: crawling, indexing, query reformulation, relevance. Explanation of inner parts of the user interface such as: auto completer, query corrector, suggested searches. Real statistics from Seznam's traffic. As a bonus: Image/video search.
    Vladimír works as a senior researcher at since 2011 and currently the head of the whole research team at He earned his doctoral degree from FI MU in 2008. All of his research has been related to natural language processing or information retrieval. At he designs and improves algorithms for the fulltext search engine. Vladimir loves (almost) all sports from snowboarding to cycling. His team works on realization of various machine learning tasks as fulltext search, text and web page analysis, recommendation systems, or image recognition.

    Exercises 7 (IS)
  8. 11. 4. 2018 12PM D3: Clustering, machine learning.
    Readings: Flat Clustering slides 16, IIR chapter 16.
    (Hierarchical Clustering slides 17, IIR chapter 17).
    Latent Dirichlet Allocation Topic similarity by LDA: intro, LDA slides by Blei, LDA visual browser demo
    Exercises 8 (IS)
  9. 18. 4. 2018 12PM D3: Web search
    Readings: Web search slides 19, IIR chapter 19.
    Exercises 9 (IS)
  10. 25. 4. 2018 12PM D3: Link analysis
    Readings: Link Analysis slides 21, IIR chapter 21, How Google finds a needle....
    Exercises 10 (IS)
    MIDTERM test #2
  11. 2. 5. 2018 12PM D3: Crawling. Link Analysis. XML retrieval
    Crawling slides 20, IIR chapter 20, Sketch Engine
    Link Analysis (HITS) slides 21 (cont.)
    Exercises 11 (IS)
  12. 9. 5. 2018 12PM D3: Latent Semantic Indexing, Semantic indexing. MathML retrieval.
    Readings: Latent Semantic Indexing slides 18, IIR chapter 18, Gensim,
    Semantic indexing in ScaleText. paper on ScaleText's design.
    Readings: XML retrieval slides 10, IIR chapter 10, MathML retrieval by MIaS in EuDML: slides
    Exercises 12 (IS)
  13. 16. 5. 2018 12PM D3: No teaching, Dies Academicus, no teaching by rector's and dean's will.
  14. 23. 5. 2018 12PM D3: Last lecture, surprise topic.
    Question and answers session.

Course runs

Links (more links in lecture slides)

Projects and miniprojects

I will be glad if you get encouraged into course topics and you decide to get insight into it by solving [mini]projects. Activities in this direction will be rewarded by the nontrivial number of premium points towards successful grading. Number of stars below is an estimate of project difficulty, from miniproject [(*), 10 points] to big project size [(*****), 30+ points]. I am open to assign/extend a project as a Bachelor/ Masters/ Dissertation thesis, just contact me.

To a pupil who was in danger, Master said, "Those who do not make mistakes, they are most mistaken for all – they do not try anything new." Anthony de Mello

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