
"Information retrieval is the task of searching a body of information for objects that statisfied an information need."
Course information
NPFL103 is a course offered at the Faculty of Mathematics and Physics to graduate students interested in the area of information retrieval, web search, document similarity, and other related areas. It covers both the foundations of information retrieval as well as some more advanced topics.
News
- 01.10.2017 - The course will start on Oct 2th, 2017 (15:40).
- 04.12.2017 - The exam will take place on Jan 15th, 2018 at 15:40 in S1.
Calendar
02.10. | Introduction, Boolean retrieval, Inverted index, Text preprocessing |
09.10. | Dictionaries, Tolerant retrieval, Spelling correction |
16.10. | no class |
23.10. | Index construction and index compression |
30.10. | Ranked retrieval, Term weighting, Vector space model |
06.10. | Ranking, Complete search system, Evaluation, Benchmarks |
13.11. | Assignment 1 |
20.11. | Result summaries, Relevance Feedback, Query Expansion |
27.11. | Probabilistic information retrieval |
4.12. | Language models, Text classification |
11.12. | Vector space classification |
18.12. | Document clustering |
08.1. | Latent Semantic Indexing, Assignment 2 |