PPT-Introducing ranked retrieval

Author : kittie-lecroy | Published Date : 2017-06-05

Ranked retrieval Thus far our queries have all been Boolean Documents either match or dont Good for expert users with precise understanding of their needs and

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Introducing ranked retrieval" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Introducing ranked retrieval: Transcript

Ranked retrieval Thus far our queries have all been Boolean Documents either match or dont Good for expert users with precise understanding of their needs and the collection Also good for applications Applications can easily consume 1000s of results. Sampling Design. By . Abdul . Haq. Ph.D. Student,. Department of Mathematics and Statistics,. University of Canterbury, Christchurch, NZ.. 1. Outline. 2. Simple random sampling.. Ranked set sampling.. 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 . Junior Info Session. Speaker: Mr. Giordano. Agenda. The application process. The college selection process. The cost. Realistic choices “Will I get in?”. Getting to know the college. The SAT and ACT. Dallas . Commission on Homelessness. August 2016. CONFIDENTIAL. INTRODUCTION. 1. The Dallas Commission On Homelessness developed and conducted a survey over the course of several weeks. Upon reviewing the results, they reached out to The Dallas Marketing Group for assistance in interpreting those results. This summary addresses the closed-ended survey questions. . for Information Retrieval. This Talk. Learning to rank for information retrieval. Learning in vector space. Mainly based on papers at SIGIR, WWW, ICML, NIPS, and KDD. Papers at other conferences and journals might not be covered comprehensively.. 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, . (for MODIS). Andy Harris. Jonathan . Mittaz. Prabhat. . Koner. (Chris Merchant, Pierre . LeBorgne. ). Satellite data – pros and cons. Main advantages of satellite data. Frequent and regular global coverage (cloud cover permitting for IR). Information Retrieval. Information Retrieval. Konsep. . dasar. . dari. IR . adalah. . pengukuran. . kesamaan. sebuah. . perbandingan. . antara. . dua. . dokumen. , . mengukur. . sebearapa. . 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. 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 . Fatemeh. Azimzadeh. Books. (Manning et al., 2008). Christopher D. Manning, . Prabhakar. . Raghavan. , and . Hinrich. . Schütze. . Introduction to Information Retrieval. Cambridge University Press, 2008. . Tessa . West. Katherine Thorson. New York University. Physiological Linkage. A. B. HR = 77. HR = 78. HR = 72. HR = 78. Thorson, West, and Mendes (2018, Psych Methods). Thorson & West (2018, Bio Psych). 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 .

Download Document

Here is the link to download the presentation.
"Introducing ranked retrieval"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.