Web search engine

GOOGLE INC. HARVARD BUSINESS CASE #9-806-105 INTRODUCTION/BACKGROUND In December of 2005, six years after its founding and twenty-one months after the company went public, search engine giant Google, Inc. had grown into not just probably the world’s biggest and most successful Internet companies, but also one of America’s biggest business success stories. Founded by two Stanford graduate students, Google was in many ways the quintessential American business success story. Sergey Brin and

Abstract—Web searching engine are mostly used for finding certain information among a huge amount of data in a minimum amount of period. Profile based personalized web search (PWS) has determine their effectiveness in improving the quality of various internet search technique. We study security of privacy protection for PWS applications that as hierarchical user profiles. In this paper we can implement the PWS system called UPS that can flexibly create profiles by queries while regarding user definite

Sergey Brin, credited a web-based search engine for the internet. The program 's first name was Backrub and was later changed to Google in 1998. Google is one of the best known and admired companies in the world. Their search engine on the internet today usually gets 1 billion searches per day. Google grew from 10 employees working in a garage to over 10,000 employees worldwide. Google was the first to put the customer first into their internet search engines. Their mission statement

user experience. We used User Centered Design (UCD) tool for designing the website and Search Engine Optimization for improving the website. The Web Analytics Framework A. Identifying Key Performance Indicators & Metrics which captures the counts and ratios infused with business strategy Examples: Conversion rate, average order value, task completion rate. B. The Web Analytics Maturity Model: Implementing Web Analytics metrics & Tools: This will enable to develop online goals, objectives, or standards

using search engines, such as Google, Bing, there is mounting evidence that there is a great deal that is not being searched – namely the Deep Web. Standard search engines are not indexing most of the information on the Web. Not only the Deep Web is a majority of Web content submerged within these sites, but it is also some of the best information on the Internet. Deep Web is a term used for World Wide Web content that is not part of the Surface Web (which is indexed by standard search engines). A

in semantic search and the prime concern of the paper; how the semantic searching process will help in augmenting the result of web search. Further, the paper will also put light on a proposal to build a semantic search based on previous keyword search engine but with the added capability of Natural Language Processing. 3. SEMANTIC SEARCH TECHNIQUES This section describes different semantic methodologies being forwarded by the scholars. Currently, various types of search engines are being deployed

information, conduct businesses and make purchases. As the use of World Wide Web is increasing, data on internet is increasing. A few sites consist of millions of pages, but millions of sites only contain a handful of pages. Few sites contain millions of links, but many sites have one or two. Millions of users flock to a few select sites, giving little attention to millions of others. The expansion of the World Wide Web (Web for short) has resulted in a large amount of data that is now in general freely

Search engines are a rather popular in today’s society. Why, one may ask? Search engines provide a way for one to quickly and efficiently find information scattered across the enormous network of servers known as the World Wide Web. Imagine having to search through the millions of websites just to find something as simple as a recipe for a sandwich! While at first the science behind search engines may sound like a foreign language, the GIST of the matter is basically as follows: the search engine

Searching web When many student go on and search on the web, the web can bring up false information which can lead the student to get the wrong ideas. Search engines are so simple, you just type in couple of words and it can bring thousands and millions of answers or information. Google for example has 3+ billion URL’s to search in, common words such as “a, an, in, to, the” are not searched since they are so common. The way that the engines work is once you type in the word or phrase the engines send

Web analytics is the study of how users interact with the websites by recording user related data, which helps in identifying different aspects of user’s behaviour. It is the measurement, collection, analysis and reporting of web data for the purpose of understanding and optimizing web usage. Web analytics can be used as a tool for business and market research and to assess and improve the effectiveness of a website. Web analytics essentially involves data collection and data can be collected in