Study Report : Effective Indexing And The Rank Of A Web

Launched on 15 January 2001, Wikipedia is a free encyclopedia that uses the web platform for online users to access. Boasting with over 26 million pieces of writing in 285 languages, Wikipedia has transformed to be a giant in the field of search engines optimization technology. The open source concept that it rides have made it cheap to access and a better choice for many online users. This is especially among the users who find it cumbersome to follow prolonged registration processes to access information on the internet. Any search term queried on the Google™ home page search engine will definitely give a hit from the Wikipedia site, and if not present, a prompt will request the user to create a page for such a term. In this way,

Bi et al \cite{Rec:Bi} provides ranked related entities to the user query along with the results of the main entity. In order to do this, this articles makes use of user's search history, click history and knowledge base. A matrix is created comprising of the user information which connects to the entities along with the ranking, click results. A tri-linear function\cite{Rec:Bi} is defined mapping these details and which will be used to rank the related entities

With the advent of computer technology in 1990’s the need to search large databases was increasingly becoming vital. The search engines prior to PageRank had limitations, the then most widely used algorithm used text based indexes to provide search results on World Wide Web however had limitations of improper search results as the logic used by the search engines looked at the number of occurrences of the search word in webpage which sometimes resulted in improper search results. Another technique used during the time was based on variations of standard vector space model – i.e. search based on how recent the webpage was updated and/or how close the search terms are to the

Search Engine Optimisation (SEO) is a widely used internet marketing strategy that affects the way a webpage or website is going to appear in organic or unpaid search. To optimize a website an individual should know to work on Content Management System (CMS) such as WordPress, Joomla, ModX etc., they should also have an understanding of web tools such as Google Webmaster, Google Analytics and Google Tag Manager. Search engine such as Google, Yahoo and Bing use a set of algorithm and crawling i.e. following links from page to page.

Through the methodology proposed, we aspire to achieve a more efficient technology for generating keywords and finding more accurate data from the search engine. By saving physical memory and storing only what is important rather than all the data from a random website. Also, due to this we may achieve faster response time. So, here we can conclude that the proposed system may be more better than the previous systems

Switches are multilayer and can sit on the data link layer (layer 2) when processing and forwarding data, also on the network layer (layer 3) by using IP addresses when forwarding

The level of usability of a website is determined by how simple it is for a visitor to use and explore a website (Stokes, 2013, p. 95). Eataly is a company that sells Italian products online and in their various locations which also feature restaurants and activities that all relate to Italian food and products. The purpose of this paper is to assess the level of usability of the Eataly website and how four specific design topics, navigation, search options, professionalism, and breadcrumbs, impact the usability.

Google’s search engine allows users to input and submit data online. In return, the user would receive relevant search results. Behind the scenes upon the submission, web crawlers scan through billions of pages and link keywords from a user’s data to the publish data on the web. Their PageRank technology ranks these pages by the number and popularity of other sites that link to the page. This provides the user with accurate and popular results. Google search engines generated high revenues between advertising on its websites and selling its technology to other sites.

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 out a software program known as spider, crawler or robot.

The functioning of Web crawler [10] is beginning with a set of URLs which is called as seed URLs. They download web pages with the help of seed URLs and take out new links which is present in the downloaded pages. The retrieved web pages are stored and well indexed on the storage area so that by the help of these indexes they can later be retrieved as and when required. The URLs which is extracted from the downloaded web page are confirmed to know whether their associated documents have already been downloaded or not. If associated document are not downloaded, the URLs are again allocated to web crawlers for further downloading. The same process is repeated till no more URLs are missing for downloading. Millions of web pages are downloaded daily by a crawler to complete the target. Fig. 1 illustrates the proposed crawling processes.

With the development of software and network technologies, World Wide Web has infiltrated into aspects in people’s life. The understanding of the significance of information gathering deepens gradually, because the information contains online user behavior and potential value. As a result, network information mining has become a core subject and there is a growing need for a tool to help people gather online information, which is called web crawlers. Traditional web crawlers have limitations in mining information from the Deep Web that is hidden, which means the websites could be accessed when users login, forms are submitted. However, these shortcomings can be solved by deep web crawlers. This paper will initially explain the innovation of Deep Web crawlers, then states applications and evaluates of this innovation.

All over the world, people through internet are connected and share their opinion. People are interested in official information as well as service and product that are available through online. To analyze different kinds of domain and aspect, online reviews, forums and blogs are used. Rapidly, internet become a dense network through which people not only access information but also interact with each other [1].

Search engine optimization, or SEO, has long been a staple website traffic. If you want to rank well on search engines, you’ve always needed to play nice with the rules that Google, Bing and the gang have set out.

Following the success of Netscape and its web browser, Internet became a resource and communication platform idolized by many IT students in the universities. What started off as a hobby-cum-research[1] work by Jerry Yang (now Chief of Yahoo!) and David Filo (Co-founder of Yahoo!) for their Ph.D. dissertations; has evolved and became an Internet sensation over time. What they did was to compile all their favourite web links to form an online directory for easy navigation in the World Wide Web. The duo’s work immediately garnered a lot of attention from many surfers in the Internet world and before they realized it, Yahoo! became one of the most highly visited websites of all time. The duo saw the

Abstract- Web is a collection of inter-related files on one or more web servers while web mining means extracting valuable information from web databases. Web mining is one of the data mining domains where data mining techniques are used for extracting information from the web servers. The web data includes web pages, web links, objects on the web and web logs. Web mining is used to understand the customer behaviour, evaluate a particular website based on the information which is stored in web log files. Web mining is evaluated by using data mining techniques, namely classification, clustering, and association rules. It has some beneficial areas or applications such as Electronic commerce, E-learning, E-government, E-policies, E-democracy, Electronic business, security and crime investigation and digital library. Retrieving the required web page from the web efficiently and effectively becomes a challenging task because web is made up of unstructured data, which delivers the