Parallelization of PageRank and HITS Algorithm on CUDA Architecture ‡ ‡ Kumar Ishan‚ Mohit Gupta‚ Naresh Kumar‚ Ankush Mittal† ‡ Department of electronics & Computer Engineering‚ Indian Institute of Technology‚ Roorkee‚ India. {kicomuec‚ mickyuec‚ naresuec‚ ankumfec}@iitr.ernet.in Abstract Efficiency of any search engine mostly depends on how efficiently and precisely it can determine the importance and popularity of a web document. Page Rank algorithm and HITS algorithm are widely known approaches
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PageRank Algorithm December 9‚ 2012 Abstract This paper dicsusses the PageRank algorithm. We carefully go through each step of the algorithm and explain each procedure. We also explain the mathematical setup of the algorithm‚ including all computations that are used in the PageRank algorithm. Some of the topics that we touch on include the following‚ but not limited to‚ are: linear algebra‚ node analysis‚ matrix theory‚ and numerical methods. But primarily this paper concerns itself with
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Presenter: General Purpose: Specific Purpose: Central Idea: Informative Speech Outline Sample Student To inform To inform the audience about Google Incorporation and its significant and various technological innovations. Google is more than a search engine; it is one of the most technologically innovative companies of the 21st century. I. Introduction A. Imagine yourself walking into a bookstore that contains billions of books. Billions of books that’s not organized‚ not in alphabetic‚ categorical
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mining categories. But we focus on one of the category called the Web structure mining. Two page ranking algorithms‚ HITS and PageRank‚ are commonly used in web structure mining. Both algorithms treat all links equally when distributing rank scores. A comparative analysis on popular methods applied in Web structure mining algorithm‚ show that HITS performs better than PageRank algorithm in terms of returning larger number of relevant pages to a given query. Keywords: Web mining‚ Web Structure Mining
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Auction Web in San Jose‚ California‚ on September 5‚ 1995 • Founded by French-born Iranian-American computer programmer Pierre Omidyar Details • ebay.in is ranked #544 in the world according to Alexa traffic rankings. • Ebay.in has Google pagerank #6. • The
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GOOGLE’S ALGORITHM: ==Algorithm== PageRank is a [[probability distribution]] used to represent the likelihood that a person randomly clicking on links will arrive at any particular page. PageRank can be calculated for collections of documents of any size. It is assumed in several research papers that the distribution is evenly divided among all documents in the collection at the beginning of the computational process. The PageRank computations require several passes‚ called "iterations"‚
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over 200 factors. These factors include site and page quality‚ freshness‚ SafeSearch and user context. SITE & PAGE QUALITY Uses a set of signals to determine how trustworthy‚ reputable‚ or authoritative a source is. One of these signals is PageRank‚ one of Google’s first algorithms‚ which looks at links between pages to determine their relevance. FRESHNESS This algorithm is used to track down the most recent and latest new and information. We can also gather information based on timely basis
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Google is one of the most well known company. Named for the mathematical term "googol‚" It began as a research project in 1996 by Larry Page and Sergey Brin. (http://www.google.com/about/company/ ) At that time‚ both of them are PHD students in Stanford University. After years developing‚ Google is extremely successful.Today‚ Google operates web sites at many international domains‚ with the most trafficked being www.google.com. Google’s mission is to organize the world’s information and make it universally
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Business Economics Report | 5 2 Essay – Microeconomics Evaluate the decision by Google to buy Motorola. What economic concepts would support this investment and in your opinion why might the purchase of Motorola be anti-competitive? “We are on a turning-point in the world of personal technology. For around 30 years PCs in various forms have been people’s main computing devices. Now the rise of smartphones and tablet computers threatens to erode the PC’s dominance‚ prompting talk that a “post-PC”
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Multinational Companies GEB4891 Wesley Wilson Abstract Multinational companies can be successful only if they use smart advantages that help them to take on many problems that occur when working abroad. I found two companies that rank very well on many financial and economical lists. My two companies were FedEx and Google‚ both are very successful in the markets that they share in and both do work in more than 5 different countries. I researched them and compiled a list of advantages and
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