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teach:lbaw:lectures:10

LE10: 24/04/2020

Master in Informatics and Computing Engineering
Database and Web Applications Laboratory
Instance: 2019/2020


Lecture #10 :: 24/04/2020

Goals

By the end of this class, the student should be able to:

  • Describe the differences between ranked-search and set-based search.
  • Describe the generic architecture of a search engine.
  • Describe how an inverted index works.
  • Describe how different signals can be used to rank information be relevance.

Content

  • Introduction to Information Retrieval
  • Search Engines Architecture
  • Information Indexing
  • Relevance and Ranking

Bibliography

  • Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze. Introduction to Information Retrieval. Cambridge University Press, 2008. Online at http://nlp.stanford.edu/IR-book
  • Bruce Croft, Donald Metzler, and Trevor Strohman. Search Engines: Information Retrieval in Practice. Addison-Wesley, 2010. Online at http://ciir.cs.umass.edu/irbook/
  • Ricardo Baeza-Yates, and Berthier Ribeiro-Neto. Modern Information Retrieval (2nd Edition). ACM press, 2012.

Materials

Summary

  • Introduction to Information Retrieval. Search engines architecture. Information crawling, indexing and ranking for search. 1)

LBAW, 2019/20

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1)
Introdução à Recuperação de Informação. Arquitetura de serviços de pesquisa. Aquisição, indexação e ordenação de informação para pesquisa.
teach/lbaw/lectures/10.txt · Last modified: 24/04/2020 12:01 by Correia Lopes