PPT-Information Retrieval and Web Search
Author : tatiana-dople | Published Date : 2019-03-15
Crawling in practice Instructor Rada Mihalcea Basic Crawl Architecture WWW DNS Parse Content seen Doc FP s Dup URL elim URL set URL Frontier URL filter robots
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Information Retrieval and Web Search: Transcript
Crawling in practice Instructor Rada Mihalcea Basic Crawl Architecture WWW DNS Parse Content seen Doc FP s Dup URL elim URL set URL Frontier URL filter robots filters Fetch. CSC . 575. Intelligent Information Retrieval. 2. Source: . Intel. How much information?. Google: . ~100 . PB a . day; 3+ million servers (15 . Exabytes. stored). Wayback Machine has . ~9 . PB + . 100 . Miguel Costa. , Daniel Gomes (speaker). Portuguese Web . Archive. Information Retrieval. is the activity of obtaining . information resources relevant. . to an . information need. from a . collection. Information. Miles Efron, Jana . Diesner. , Peter . Organisciak. , Garrick Sherman, Ana . Lucic. {. mefron. , et al.}@. illinois.edu. GSLIS 2012. TREC: The Text REtrieval Conference. NIST. Web. Legal. Course summary. Crista. Lopes. Lecture Objective. Know what you know. Problem Space of this course. “Big Data”. How to. collect it. index it. search it for relevant information. Industry segment . Hongning. Wang. CS@UVa. Classical search engine architecture. “The . Anatomy of a Large-Scale . Hypertextual. Web Search . Engine”. - Sergey . Brin. and . Lawrence Page, . Computer networks and ISDN systems. Hongning. Wang. CS@UVa. Classical search engine architecture. “The . Anatomy of a Large-Scale . Hypertextual. Web Search . Engine”. - Sergey . Brin. and . Lawrence Page, . Computer networks and ISDN systems. Hongning. Wang. CS@UVa. Recap: Core IR concepts. Information need. “. an individual or group's desire to locate and obtain information to satisfy a conscious or unconscious need. ” – wiki. An IR system is to satisfy users’ information need. CSC 575. Intelligent Information Retrieval. Intelligent Information Retrieval. 2. Web Mining. Today. Overview of Web Data Mining. Web Content Mining / Text Mining. Web Usage Mining. Web Personalization. All slides ©Addison Wesley, 2008. How Much Data is Created Every . Minute?. Source: . https. ://www.domo.com/blog/2012/06/how-much-data-is-created-every-minute/. The Search Problem. Search and Information Retrieval. What is IR?. Sit down before fact as a little child, . be prepared to give up every conceived notion, . follow humbly wherever and whatever abysses nature leads, . or you will learn nothing. . . -- Thomas Huxley --. Fatemeh. Azimzadeh. Books. (Manning et al., 2008). Christopher D. Manning, . Prabhakar. . Raghavan. , and . Hinrich. . Schütze. . Introduction to Information Retrieval. Cambridge University Press, 2008. . Você gosta de emagrecer? Ou de perder 5kg ou 10kg? Independentemente da sua resposta, esse
é um objetivo que pode ser alcançado com, pelo menos, um exercício básico de autocontrole.
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Eudeslima08@gmail.com Cal Poly Pomona. Today. Who I am. CS 599 educational objectives (and why). Overview of the course, and logistics. Quick overview of IR and why we study it. 2. Who am I?. Instructor : . Sampath . Jayarathna. Session 10 – Information Retrieval and Dissemination. Lecturer: Dr. . Perpetua. S. . Dadzie. , Dept. of Information Studies. Contact Information: psdadzie@ug.edu.gh. Session Overview . At the end of the session, the student will be able to.
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