PPT-Text Classification CS5604 Information Retrieval and Storage – Spring 2016

Author : faustina-dinatale | Published Date : 2018-11-11

Virginia Polytechnic Institute and State University Blacksburg VA Professor E Fox Presenters Hossameldin Shahin Matthew Bock Michael Cantrell May 3rd 2016 Agenda

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Text Classification CS5604 Information Retrieval and Storage – Spring 2016: Transcript

Virginia Polytechnic Institute and State University Blacksburg VA Professor E Fox Presenters Hossameldin Shahin Matthew Bock Michael Cantrell May 3rd 2016 Agenda Background Problem Statement. Module 20. What is Memory?. Process of . encoding, storage, and retrieval.. Learning that persists over time.. Encoding. Get info in. Storage. Retain the info. Retrieval. Getting the information out. 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 . Olufemi Odegbile. Motivation. Client-Server . model of information storage and . retrieval. Consumers can anonymously accessed published information using anonymous techniques like crowd or mixes (anonymous routing).. . lecture 2. history. Thomas . Krichel. 2011-09-19 . contents . based on a very fine paper by Michael Lesk “The Seven Ages of Information Retrieval”. . That paper was written in 1997, so it does not cover recent advances.. 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. Manuel Montes, Hugo . Jair. Escalante. Instituto Nacional de Astrofísica, Óptica y Electrónica, México.. http://ccc.inaoep.mx/~mmontesg. /. http://ccc.inaoep.mx/~hugojair/. {. mmontesg. , . hugojair. The Convergence of IR and IG. Records have a utility. Statutory compliance. Electronic discovery. Operational business value to the organization. Operational Business Value. Classification. Historically obsolete?. Information Retrieval. Information Retrieval. Konsep. . dasar. . dari. IR . adalah. . pengukuran. . kesamaan. sebuah. . perbandingan. . antara. . dua. . dokumen. , . mengukur. . sebearapa. . 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. Virginia Polytechnic Institute and State University. Blacksburg, Virginia 24061. Professor: E. Fox. Presenters:. Saurabh Chakravarty,. Eric Williamson. December 1, 2016. Table of contents. Problem Definition. 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. Hongning. Wang. CS@UVa. CS@UVa. CS6501: Information Retrieval. 1. Abstraction of search engine architecture. User. Ranker. Indexer. Doc Analyzer. Index. results. Crawler. Doc . Representation . Query Rep. Fatemeh. Azimzadeh. Books. (Manning et al., 2008). Christopher D. Manning, . Prabhakar. . Raghavan. , and . Hinrich. . Schütze. . Introduction to Information Retrieval. Cambridge University Press, 2008. . 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.

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