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

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
• Video recording of the class: Shared Drive da UP (part 1) | Shared Drive da UP (part 2)
• 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, 2019/20

« Previous | Index | Next »