J. Correia Lopes


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T: 12/04/2019

Master in Informatics and Computing Engineering
Database and Web Applications Laboratory
Instance: 2018/2019

Lecture #9 :: 12/04/2019


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.


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


  • 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 presented in class: Introduction to Information Retrieval
  • Brin, S.; Page, L. The anatomy of a large-scale hypertextual Web search engine. Computer Networks and ISDN Systems. 30 (1–7): 107–117. 1998


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

LBAW, 2018/19

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Introdução à Recuperação de Informação. Arquitetura de serviços de pesquisa. Aquisição, indexação e ordenação de informação para pesquisa.
teach/lbaw/lectures/09.txt · Last modified: 05/04/2019 18:46 by Correia Lopes