SEARCH ENGINE MARKETING FOR BUSINESS GROWTH TERM PAPER “INDIAN TRAVEL WEBSITES ANALYSIS & RECOMMENDATIONS” BY Mayank Gupta - 1212034 Vikram Gupta - 1212068 TABLE OF CONTENTS 1. Introduction and Objective 2. Website Design 2.1 User friendliness 2.2 Loading Time 2.3 Search & Booking effectiveness 2.4 Aesthetics 2.5 Recommendation and Personalization 3. Search Engine Optimization 3.1 SEO site checkup 3.2 Organic Search comparison 3.3 Alexa ranking & data analysis 5. Revenues and Operations 5
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Truth Discovery with Multiple Conflicting Information Providers on the Web ∗ ∗ Xiaoxin Yin UIUC xyin1@cs.uiuc.edu Jiawei Han UIUC hanj@cs.uiuc.edu ABSTRACT Philip S. Yu IBM T. J. Watson Res. Center psyu@us.ibm.com of information on the web. Even worse‚ different web sites often provide conflicting information‚ as shown below. The world-wide web has become the most important information source for most of us. Unfortunately‚ there is no guarantee for the correctness of information
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bodies. In computer graphics‚ they are used to project a 3-dimensional image onto a 2-dimensional screen. In probability theory and statistics‚ stochastic matrices are used to describe sets of probabilities; for instance‚ they are used within the PageRank algorithm that ranks the pages in a Google search.[3] Matrix
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and most accurate. They decided that if you are looking for an answer‚ you want that answer sooner not later. Google strives to be inventive and work on more speed whether it is for the web or for their apps with Google Chrome. Through Google new PageRank™ algorithm‚ links are suggested that will give the user more information on the subject they are researching. This algorithm actually sorts through the suggestions and gives the end user the most popular sites connected to whatever they are looking
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Cyberpreneur Research BEN2014 – Introduction to Cyberpreneurship Dennis Lee | 1041102283 Chen Chuck Wye | 1041102555 GROUP: BC193 Cyberpreneur Research 2 INTRODUCTION Samsul Zamzuri is a cyberpreneur. He lives in Sg. Buloh‚ many kilometres away from any centres of commerce. His housing estate does not have fixed line Internet services. He works from home. He makes RM 15‚000 a month. Now‚ what is a cyberpreneur? It is a combination of the words ’cyber
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Case 10: Apple Computer and Steve P. Jobs CURRENT SITUATION * Performance The current performance at Apple Inc. shows a slightly higher gross margin percentage of 33.9 compared to 32.9 for the previous year. This is based on figures from the quarterly report ending March 29‚ 2008 and the date for the comparison figure is the previous year ending March 31‚ 2007. The revenue for that same quarter was $7.51 billion with a net quarterly profit of $1.05 billion. The Macintosh computers unit
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FUGLE INC. AN ANALYSIS OF‚ AND INSIGHTS INTO‚ THE DYNAMICS OF TECHNOLOGICAL INNOVATION AT GOOGLE st 1 MARCH 2010 Approx. 2‚000 words (excluding title page‚ table of contents‚ appendices and references) FUGLE CONSULTING
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available news reports and articles. KEY QUESTIONS 1. What were the key factors behind Google’s early success? A number of key factors contributed to Google’s early success. Google had unassailable competitive advantage in the form of PageRank algorithm that can efficiently index web pages and delivers highly relevant searches to users. It avoided competing head to head with yahoo‚ etc by choosing not to diversify to portal positioning. Instead‚ Google focuses on developing its strategic
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Currently‚ Google is one of the major search engines are the most used in the world. This achievement is thanks to the work of two people who led and founder of Google; that is Larry Page and Sergey Brin. They are the ones who directly contributed to success of Google as of today. In this assignment‚ we will talk about life‚ personality and career of one of them. That is Larry Page. Larry Page was born in 1973 in the State of Michigan in a family with his father is Carl Victor Page- a professor
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What is the Best? 4 1. Google’s Early Key Success Factors 1.1 Innovated and Differentiated Search Engine By improving their existing search algorithm‚ Google resolved the problem of irrelevant listings –“Spam” that frustrated users. The “PageRank” Algorithm reliably delivered more relevant searches by favoring pages were referenced – “linked to”- by other pages. By taking this non-imitable initiative‚ Google differentiated their service and addressed: Unmet needs of searchers: for faster
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