J. Correia Lopes

FEUP/DEI & INESC TEC

User Tools

Site Tools


teach:lbaw:lectures:09

T: 12/04/2019

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


Lecture #9 :: 12/04/2019

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

  • 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

Summary

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

LBAW, 2018/19

« Previous | Index | Next »

1)
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