PPT-Improving relevance prediction by addressing biases and
Author : aaron | Published Date : 2017-06-18
sparsity in web search click data Qi Guo Dmitry Lagun Denis Savenkov Qiaoling Liu qguo3 dlagundenissavenkov qiaolingliu emoryedu Mathematics amp Computer
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Improving relevance prediction by addressing biases and: Transcript
sparsity in web search click data Qi Guo Dmitry Lagun Denis Savenkov Qiaoling Liu qguo3 dlagundenissavenkov qiaolingliu emoryedu Mathematics amp Computer . int International Bureau Weltpoststrasse 4 PO Box 3000 BERNE 15 SWITZERLAND wwwupuint ISBN 9789295025431 ISSN 10206019 January 2010 brPage 2br brPage 3br brPage 4br brPage 5br brPage 6br Abdullah, Ibrahim. Ali, . Javeed. Budhram. , . Dharmendra. Galiana. , Thomas. Monegro. , Wesley. Silva, Frank. 11.1 Addressing. Abdullah, Ibrahim. Budhram. , . Dharmendra. Addressing Modes. Addressing mode:. Antoinette . Schoar, MIT and . NBER. September 18. th. , 2015. Hutchins Center Event “The Power of the Nudge”. Motivation. Recent demographic and . regulatory trends have increased . the reliance on . Clickthroughs. for News Search. Hongning. Wang. +. , . Anlei. Dong. *. , . Lihong. Li. *. , Yi Chang. *. , . Evgeniy. . Gabrilovich. *. +. CS@UIUC . *. Yahoo! Labs. Relevance . v.s. . Freshness. Exploring . Intrinsic Diversity . in . Web Search . Karthik Raman (Cornell University). Paul N. Bennett (MSR, Redmond). Kevyn. . Collins-Thompson (MSR, Redmond). Whole-Session Relevance. Typical search model : . 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.. To Examine Curriculum, Instruction, and Assessment. 21. st. Century Skills for Success. Strong Academics. Reading, Writing, Math, Science. Career Skills. Workplace Attitudes & Ethics. Technology Skills. Hang Xiao. Background. Feature. a . feature. is an individual . measurable heuristic property of a phenomenon being observed. In character recognition: . horizontal and vertical . profiles, . number of internal holes, stroke . Migratory Bird Conservation for Federal Partners. March 2016, NMFWA. Addressing Migratory Birds in NEPA. NEPA Considerations – Common Questions. Common Questions:. How do I know I’ve analyzed the correct birds? . J. Max Wawrik. Nancy Rosado Colon. Law 16. Spring 2017. Law of Evidence. . . Key Terms. Adversary System (U.S.). A system of justice where the parties work in opposition to each . other, and each party tries to win a favorable result for itself. The . Department of Computer Science and Information Engineering. National Cheng Kung University, Tainan Taiwan. Tsung-Wei Huang, Tsung-Yi Ho, and Krishnendu Chakrabarty. Department of Electrical and Computer Engineering. *This lesson was adapted from http. ://. www.tolerance.org/Hidden-bias.. . Introduction. All of us have preferences or biases. Sometimes people say, “I may be biased, but I . think______is. better than ______.” Can you remember a time when you made such a statement? It may have been in reference to a particular type of food, car, or clothing. It is natural and consistent with human behavior to have such preferences or biases. . 1. 2. Take-. away. . today. Interactive relevance feedback:. improve initial retrieval results by telling the IR system which docs are relevant / . nonrelevant. Best known relevance feedback method: . Tom Burton-West. Information Retrieval Programmer. Digital Library Production Service. University of Michigan Library. www.hathitrust.org/blogs/large-scale-search. Code4lib . February 12, 2013. w. www.hathitrust.org.
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