School of Communication & Information ITI 04:547:220:03-04 Retrieving and Evaluating Electronic Information Fall 2013 COURSE SYLLABUS Revised August 30‚ 2013 Instructor: Marie L. Radford (mradford@rutgers.edu) Teaching Assistant: Mark Alpert (mark.alpert@rutgers.edu) Course Meets: Thursdays‚ 11:30-2:40 Classroom Location: SC&I Building CIL 201 Course Website: Sakai (https://sakai.rutgers.edu) Office: Room CIL 329 (third floor) Office Hours: Thursdays 2:40-4:00pm and
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towards attaining information ranging from research purposes‚ like stock quotes‚ to daily use such as the weather in your hometown. The ability to find information on these engines all depend on experience‚ knowledge of certain search techniques‚ and remembering the strengths and advantages of each engine for particular information. For my assignment‚ I have chosen to compare and contrast three popular search engines‚ Altavista‚ Yahoo‚ and Excite. Through the search of information on tourism in
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With the advent of technology comes the increasing use of search engines for different purposes. Web search engines such as Yahoo! and Google are effective tools for internet research and finding web-based articles and information. Furthermore‚ hard-to-find and old written information may most probably be available over the internet through keying in on the search engine. This new trend can help create better opportunities and challenges in the field of academic research. b. Purpose: This paper seeks
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the word vaim means ghost (http://et.wikipedia.org/wiki/Vaim). See http://www.logosdictionary.com/pls/dictionary/new dictionary.gdic.sl? phrase code=5573701 for the pronunciation. 2. The word vaim is an acronym‚ abbreviating Value-Added Information Mash. The two meanings are unrelated. It is permitted to pronounce both words in the Estonian fashion. 2 What is a mash? From http://en.wikipedia.org/wiki/Mashup %28web application hybrid%29: A mashup is a website or web application that
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Content Based Image Retrieval By Rami Al-Tayeche (237262) & Ahmed Khalil (296918) Supervisor: Professor Aysegul Cuhadar A report submitted in partial fulfillment of the requirements of 94.498 Engineering Project Department of Systems and Computer Engineering Faculty of Engineering Carleton University April 4‚ 2003 Abstract The purpose of this report is to describe our research and solution to the problem of designing a Content Based Image Retrieval‚ CBIR system. It outlines
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by developing science-based responses to policy challenges that have both a socio-economic as well as a scientific/technological dimension. European Commission Joint Research Centre Institute for Prospective Technological Studies Contact information Address: Edificio Expo. c/ Inca Garcilaso‚ 3. E-41092 Seville (Spain) E-mail: jrc-ipts-secretariat@ec.europa.eu Tel.: +34 954488318 Fax: +34 954488300 http://ipts.jrc.ec.europa.eu http://www.jrc.ec.europa.eu Legal Notice Neither the European
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BACKGROUND Introduction Information technology refers to the collection of tools that make it easier to use‚ create‚ manage and exchange information. One of the exciting ways in which the computer serve as a general service tool is in the field of information retrieval and operation‚ the search for facts which‚ together with the operations done on it‚ are stored in a central storage. Computer-based information retrieval operates through the use of software that can offer information services for an institution
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| | | | | | | | |(In %) | |B. Tech (Information |Holy Mary Institution Of Technology & | Jawaharlal Nehru | | | |Technology) |Science |Technological University‚ |2012 |63
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Chapter 1 THE PROBLEM AND ITS SCOPE INTRODUCTION Rationale A library is a warehouse of information and knowledge in which materials such as books‚ periodicals‚ newspapers‚ pamphlets‚ tapes and other materials are kept for reading‚ reference and lending to the students and teachers. The informational materials inside the library are organized and arranged on specific shelves through their respective places. Placing similar materials in one location helps the users find the particular item
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Model to Combine Tags and Acoustic Similarity for Music Retrieval.; ACM Transactions on Information Systems; Apr2012‚ Vol. 30 Issue 2‚ p8.1-8.29‚ 29p Rares Vernica‚ Michael J. Carey‚ Chen Li; (2010) Efficient Parallel Set-Similarity Joins Using MapReduce; Department of Computer Science University of California‚ Irvine June2010‚ ACM 978-1-4503-0032-2/10/06 A. Wang (2006); The Shazam music recognition service‚ Commun. ACM Transactions on Information Systems; vol. 49‚ no. 8‚ pp.44 -48 2006 Poulos‚ Marios
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