PPT-Advanced and Evidence Based Information Retrieval

Author : alexa-scheidler | Published Date : 2018-11-22

Sandra A Martin MLIS Health Sciences Resource Coordinator Instructor of Library Services John Vaughan Library Room 305B marti004nsuokedu 9184443263 Existing

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Advanced and Evidence Based Information Retrieval: Transcript

Sandra A Martin MLIS Health Sciences Resource Coordinator Instructor of Library Services John Vaughan Library Room 305B marti004nsuokedu 9184443263 Existing knowledge can prevent. Milton J. Dehn, Ed.D. ., NCSP. Schoolhouse Educational Services. Fall, 2012. Notice of Copyright, . 2012. This . PowerPoint . and accompanying materials are copyrighted by Milton J. Dehn and Schoolhouse Educational Services, LLC. All rights reserved. No photocopying, electronic display, or electronic dissemination of these materials is allowed without written permission. By . Rong. Yan, Alexander G. and . Rong. Jin. Mwangi. S. . Kariuki. 2008-11629. Quiz. What’s Negative Pseudo-Relevance feedback in multimedia retrieval?. Introduction. As a result of high demand of content based access to video information.. INST 734. Module 3. Doug . Oard. Agenda. Ranked retrieval. Similarity-based ranking. Probability-based ranking. Boolean Retrieval. Strong points. Accurate, . if you know the right strategies. Efficient for the computer. 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 . ChengXiang. (“Cheng”) . . Zhai. Department of Computer Science. University of Illinois at Urbana-Champaign. http://www.cs.uiuc.edu/homes/czhai. . Email: czhai@illinois.edu. 1. Yahoo!-DAIS Seminar, UIUC. Tung Dao* . Lingming. Zhang. . Na Meng*. Virginia Tech*. The University of Texas at Dallas. Background. Bug localization is important in software maintenance. Bug localization is challenging and time-consuming. Hongning. Wang. CS@UVa. What is information retrieval?. CS6501: Information Retrieval. CS@UVa. 2. Why information retrieval . Information overload. “. It refers to the . difficulty. a person can have understanding an issue and making decisions that can be caused by the presence of . 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. Sandra A. Martin, M.L.I.S.. Instructor of Library Services. Health Sciences Resource Coordinator. John Vaughan Library Room 305B. marti004@nsuok.edu. – 918-444-3263. 1. . Sandra Martin Provides….. All slides ©Addison Wesley, 2008. Beyond Bag of Words. “Bag of Words”. a document is considered to be an unordered collection of words with no relationships. Extending representation. feature-based models. 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. . EVIDENCE BASED DECISION-MAKING SUMMARY147When somebody on staff asks what we should do to 145What does the research say What is the evidence base What information can we gather to determine if it wil Project group. Emily Hopkins. , Health Education England. . Deena . Maggs. ,. . The King’s Fund. . Victoria Treadway. , NHS . RightCare. . Vicki . Veness. , Royal Surrey County Hospital NHS Foundation Trust.

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