'Hypertextual web search engine' presentation slideshows

MSc Reading Group

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AMCS/CS 340: Data Mining

Page Rank. AMCS/CS 340: Data Mining. Xiangliang Zhang King Abdullah University of Science and Technology. Outline. PageRank Introduction Matrix Formation Issues Topic-Specific PageRank Web Spam. 2. PageRank.

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C20.0046: Database Management Systems Lecture #23

C20.0046: Database Management Systems Lecture #23. M.P. Johnson Stern School of Business, NYU Spring, 2008. Agenda. Ads Datamining RAID? Regexs? Set Theory? Indices? Etc.?. Fixing PR bugs. Apart from inherited quality, each page also has inherent quality E:

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Ranking the Web

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The Anatomy of a Large-Scale Hypertextual Web Search Engine

The Anatomy of a Large-Scale Hypertextual Web Search Engine. Sergey Brin, Lawrence Page Presented By: Paolo Lim April 10, 2007. AKA: The Original Google Paper. Larry Page and Sergey Brin. Presentation Outline. Design goals of Google search engine Link Analysis and other features

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search engines

search engines. digital libraries. tefkos@rutgers.edu ; http://comminfo.rutgers.edu/~tefko/. Central ideas. As a searcher you are also using. Search engines. Digital libraries. They have rich & varied resources of use in

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TrustWalker: A Random Walk Model for Combining Trust-based and Item-based Recommendation

TrustWalker: A Random Walk Model for Combining Trust-based and Item-based Recommendation. Mohsen Jamali & Martin Ester Simon Fraser University, Vancouver, Canada. Introduction TrustWalker Single Random Walk Recommendation Matrix Notation Properties of TrustWalker

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Lecture #9 NFS, GFS, and HDFS

Lecture #9 NFS, GFS, and HDFS. CS492 Special Topics in Computer Science: Distributed Algorithms and Systems. What do you remember about FS?. Distributed File System?. How is it different from a local file system?. NFS. Design goals Same semantics as a local UNIX file system

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The Anatomy of a Large-Scale Hypertextual Web Search Engine

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Lecture 4

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The PageRank Citation Ranking : Bringing Order to the Web

The PageRank Citation Ranking : Bringing Order to the Web. Lawrence Page, Sergey Brin, Rajeev Motwani, Terry Winograd Presented by Anca Leuca, Antonis Makropoulos. Introduction. Web is huge The web pages are extremely diverse in terms of content, quality and structure Problem :

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CONNECTING THE DOTS BETWEEN NEWS ARTICLES

CONNECTING THE DOTS BETWEEN NEWS ARTICLES . GUIDE : Prof. Amitabha Mukerjee Ankit Modi (10104) Chirag Gupta (10212). Problem Statement. S 1 , S 2 , S 3 ,... S n. SOURCE. TARGET. ?. Problem Statement. S 1 , S 2 , S 3 ,... S n. SOURCE. S i. S j. TARGET. Motivation.

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Introduction to PageRank Algorithm and Programming Assignment 1

Introduction to PageRank Algorithm and Programming Assignment 1. CSC4170 Web Intelligence and Social Computing Tutorial 4 Tutor: Tom Chao Zhou Email: czhou@cse.cuhk.edu.hk. Outline. Background Markov Chains PageRank Computation Exercise on PageRank Example of Programming Assignment QA.

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Sentiment Analysis

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The anatomy of a Large-Scale Hypertextual Web Search Engine

The anatomy of a Large-Scale Hypertextual Web Search Engine. What we want from a search engine. Speed Quantity of Results Efficient Storage Space Quality of Results. Google attempts to bring us all of these aspects from search. Precision of result:. Second Generation Search Engine.

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Memory System Characterization of Commercial Workloads

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