PPT-Reliability, accuracy and relevance

Author : kittie-lecroy | Published Date : 2016-03-26

of Internet Information Reliability trustworthy website Check domain type and country of URL Should be professionally designed Accuracy know the source of the

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Reliability, accuracy and relevance: Transcript

of Internet Information Reliability trustworthy website Check domain type and country of URL Should be professionally designed Accuracy know the source of the information official sites not personal website. 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 : . Thinking Questions. What is an IV?. What is a DV?. What is repeated measures design?. What is matched pairs design?. What is independent groups design?. What is a hypothesis? Can you name the 3 types . Presenter: Michael Czahor. Major Professor: Dr. Bill Meeker. Home Department. : Statistics. A Brief Background . Drexel University-BMES Dept.. Rowan University-Mathematics. Statistical motivation (Dr. Lacke/Dr. . Clickthroughs. for News Search. Hongning. Wang. +. , . Anlei. Dong. *. , . Lihong. Li. *. , Yi Chang. *. , . Evgeniy. . Gabrilovich. *. +. CS@UIUC . *. Yahoo! Labs. Relevance . v.s. . Freshness. 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. using . Busting Up . Bullying 1100L. Day 1. Warm-Up. :. Read . paragraphs 1-3 of the . article . Busting . Up Bullying. . 1100L. . Underline three or four of the most important words in each of those paragraphs.. vs.. Weak Induction. Homework. Study Fallacies 1-18. Review pp. 103-132. Fallacies (definition § 4.1). § 4.2 Fallacies of Relevance (1 – 8). § 4.3 Fallacies of Weak Induction (9 – 14). For Next Class: pp. 139-152. 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 . David Collings (ECU) and Bruce Guthrie (GCA. ). In this session: . Supplementing the UES. Why workplace relevance?. WRS Development. Source, versions, items. Workplace Relevance Scale. Dennis . Trewen. Paul N. Bennett, Microsoft Research. Joint with. Ece Kamar, Microsoft Research. Gabriella Kazai, Microsoft Research Cambridge. Motivation for Consensus Task. Recover actual . relevance of . a topic-document . Validity . Is the translation from concept to . operationalization. accurately representing the underlying concept. . Does your variables measure what you think in abstract concepts.. This is more familiarly called Construct Validity.. for Pseudo–Relevance Feedback . Yuanhua . Lv. . & . ChengXiang. . Zhai. Department of Computer Science, UIUC. Presented by Bo Man . 2014/11/18. Positional Relevance Model . for Pseudo–Relevance Feedback . 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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