Master in Informatics and Computing Engineering
Information Description, Storage and Retrieval
Instance: 2020/2021
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By the end of this class, the student should be able to: ¶

• enumerate the features of the web as a document collection; ¶
• explain the principles of link analysis; ¶
• describe the PageRank algorithm; ¶
• describe the HITS algorithm; ¶

1. Web information retrieval ¶
   • Web characteristics ¶
   • Ranking ¶
   • Link analysis  ¶

• Information Retrieval on the Web ¶

• Ricardo Baeza-Yates, Berthier Ribeiro-Neto, Modern Information Retrieval: The Concepts and Technology behind Search, Chapter 11: Web Retrieval, accessed November 2020 ¶
• Ricardo Baeza-Yates, Berthier Ribeiro-Neto, Modern Information Retrieval: The Concepts and Technology behind Search, Slides for Chapter 11: Web Retrieval, accessed November 2020 ¶
• Ricardo Baeza-Yates, Berthier Ribeiro-Neto, Modern Information Retrieval: The Concepts and Technology behind Search, Slides for Chapter 12: Web Crawling, accessed November 2020 ¶
• Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Chapter 19, 20, 21, accessed November 2020 ¶
• D. Easley, J. Kleinberg, Networks, Crowds, and Markets: Reasoning About a Highly Connected World. Cambridge University Press, 2010 ¶

• Exercises in link analysis (PageRank and HITS). ¶
• Milestone #2: experiment and evaluate retrieval results. ¶

• Web information retrieval. Ranking. Link analysis. ¶
• Work on Milestone #2, “Information Retrieval”.  ¶
• Indexing and retrieval experiments on the working collection. ¶

— MCR, JCL, SSN ¶

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