PPT-INFORMATION RETRIEVAL TECHNIQUES
Author : aaron | Published Date : 2019-01-22
BY DR ADNAN ABID Lecture Introduction Library Management System Structured Data Storage Tables SemiStructured and Unstructured Employee Department Salary Library
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INFORMATION RETRIEVAL TECHNIQUES: Transcript
BY DR ADNAN ABID Lecture Introduction Library Management System Structured Data Storage Tables SemiStructured and Unstructured Employee Department Salary Library Digitization Information Retrieval Models. 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. Hui Fang , Tao . Tao. , . ChengXiang. . Zhai. University of Illinois at Urbana Champaign. SIGIR 2004 Best Paper. Presented by Lingjie Zhang. Outline. Formal Definitions of Heuristic Retrieval Constraints. Introduction. Ling 573. NLP Systems and Applications. March 29, 2011. Roadmap. Motivation. 573 Structure. Question-Answering. Shared Tasks. Motivation. Information retrieval is very powerful. Search engines index and search enormous doc sets. 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 . INST 734. Doug . Oard. Module 13. Agenda. Image retrieval. Video retrieval. Multimedia retrieval. Multimedia. A set of time-synchronized modalities. Video. Images, object motion, camera motion, scenes. Technology Replacing Textbooks. Digital devices like smartphones and computers are leading to more distractions in daily life causing a decrease in attention span. An article written published in New York Times, Growing . ChengXiang. (“Cheng”) . . Zhai. Department of Computer Science. University of Illinois at Urbana-Champaign. http://www.cs.uiuc.edu/homes/czhai. . Email: czhai@illinois.edu. Keynote. at SIGIR 2015. 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. and Re-ranking. Ling573. NLP Systems and Applications. May 3, 2011. Upcoming Talks. Edith Law. Friday: 3:30; CSE 303. Human Computation: Core Research Questions and Opportunities . Games with a purpose, . 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 . Class Activity. Action: . Write. down the . 4 or 5 points. that most impact you from this presentation.. You will need this for the group activity at the end of this presentation.. Key to Learning. Fatemeh. Azimzadeh. Books. (Manning et al., 2008). Christopher D. Manning, . Prabhakar. . Raghavan. , and . Hinrich. . Schütze. . Introduction to Information Retrieval. Cambridge University Press, 2008. . Retrieval Practice: Lesson 3. 1. What is an . autobiography. ?. . 2. Does Roald Dahl consider . Boy . to be an . autobiography. ? Why or why not?. . 3. What is an . anecdote. ?. . 4. Describe one .
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