2.1 Introduction This chapter discusses Page Rank Algorithm essential ideas and analyzes its computational formula and then mentions some problems related to the algorithm. With the rapid development of world –wide web, the users face the problem of retrieving useful information from the large number of disordered and scattered information. However, current search engines cannot fully satisfy the user’s need of high-quality information search services but the most classic web structure mining algorithm is Page Rank Algorithm. The Page Rank algorithm is based on the concepts that if a page contains important links towards it then the links of this page towards the other page are also to be considered as important pages. Page Rank algorithm calculates the importance of web pages using the link structure of the web pages. This approach explores the idea of simply counting in-links equally, by normalizing the number of links on a page when distributing rank scores. Therefore, Page Rank (i.e. a numeric value that represents how important a page is on the web) takes the back links into account and propagates the ranking through links: a page has a high rank if the sum of the ranks of its back links (in links) is high. It (Page Rank Algorithm) is one of the methods that Google (famous search engine) uses to determine the importance or relevance of a web page. 2.2 Problem When we had calculated the rank of a web page we came across with the concept that the total number of the back links of the webpage formed the rank of the page without giving weightage to the content of the content of the back linked web pages. Here all back links are considered equal, due to which the web pages containing less relevant information are treated as ... ... middle of paper ... ...Page Rank Algorithm in terms of returning larger numbers of relevant pages to a given query. As suggested, the performance of WPR is to be tested by using different websites and future work include to calculate the rank score by utilizing more than one level of reference page list and increasing the number of human user to classify the web pages. Furthermore, Weighted Page Rank Algorithm (WPR) consists of some limitations also, which are given as follows:- 1. It relies mainly on the in links and out links. 2. There is a less conclusion of the relevancy of the pages to a given query. 3. Weighted Page Rank (WPR) algorithm provides important formation about a given query by using the structure of the web. While some web pages may be irrelevant to a given query, it still receives the highest (topmost) rank because it has many in links (back links) and many out links.
Johnson, T. (2011). S.P.I.D.E.R. A strategy for evaluating websites. Library Media Connection, 29(6), 58-59. Retrieved from http://web.b.ebscohost.com.proxy.devry.edu/ehost/pdfviewer/pdfviewer?sid=a1fe208a-6fb8-4e68-8191-7ef041e2d483%40sessionmgr111&vid=25&hid=113
a.k.a. a.k Web. The Web. The Web. 16 Apr. Foner, Eric, and John A. Garraty.
Establish the case-based distance ranking model: Construct the ranking model, optimize it and obtain the criteria weights.
Harrington, Tom. "Ranking and Number of Users." Gallaudet University Library. Gallaudet University, n.d. Web. 2 Dec 2013.
Various web-based companies have developed techniques to document their customer’s data, enabling them to provide a more enhanced web experience. One such method called “cookies,” employs Microsoft’s web browser, Internet Explorer. It traces the user’s habits. Cookies are pieces of text stored by the web browser that are sent back and forth every time the user accesses a web page. These can be tracked to follow web surfers’ actions. Cookies are used to store the user’s passwords making your life easier on banking sites and email accounts. Another technique used by popular search engines is to personalize the search results. Search engines such as Google sell the top search results to advertisers and are only paid when the search results are clicked on by users. Therefore, Google tries to produce the most relevant search results for their users with a feature called web history. Web history h...
Wallace, Jonathon. (1997). Labelling, rating and filtering systems on the Internet. [Online]. Available: http://www.spectacle.org/cda/rate.html. [1997, Sep. 02].
This utility lets the end user easily locate information using keywords and phrases. In a few short years this has become the”most widely used searching tool on the Internet.” (Levin, 60) The annual growth rate for Gopher traffic is 997%! (Fun Facts, 50) Up until recently, this Internet protocol had been mainly used by the government and academics. But it has caught on and is being used for business and leisure purposes. If one is interested in the latest NFL scores, schedules and point spreads, they can easily access this information at News and Weather. Business administrators can learn more about total quality management (TQM) by visiting (Maxwell, 299 and 670)
Generally, Divide and Conquer is a powerful tool for solving conceptually difficult problems. This leads to enter of research in to the introduction of new sorting algorithm using Divide and Conquer technique with better performance. Sorting makes the problem much simpler and easier. This idea leads our research to the application of sorting in different data structures like Binary search tree, Balanced search tree, Hashing data structure and in the area of Cryptography.
Abstract—Computational problems have significance from the early civilizations. These problems and solutions are used for the study of universe. Numbers and symbols have been used for different fields e.g. mathematics, statistics. After the emergence of computers the number and objects needs to be arranged in a particular order i.e. ascending and descending orders. The ordering of these numbers is generally referred to as sorting. Sorting gained a lot of importance in computer sciences and its applications are in file systems etc. A number of sorting algorithms have been proposed with different time and space complexities. In this paper author will propose a new sorting algorithm i.e. Relative Split and Concatenate Sort, implement the algorithm and then compared results with some of the existing sorting algorithms. Algorithm’s time and space complexity will also be the part of this paper.
Search engines, specifically Google, have probably contributed more to the distribution of knowledge than any other invention since the creation of the printing press. Google was created by Larry Page and Serge...
Research which has been conducted on the use of hyperlinks or hypertexts in online journalism have relied on the methodology of quantitative content analyses to count the number off links present in online news sites.
For this research project I decided to ask two of my neighbours who are in high school. I enlisted them by going to their house one day after school. I visited them at their house and explained my research project to them and their parents. I gave them a leaflet and one for their parents and asked if they had any questions. Before I left I asked them to contact me via telephone or e-mail if they were interested in participating in the research project. Once they contacted me to say they were interested, I visited them again at their house. I thanked them for agreeing to participate in the research project and I gave them the informed consent forms, one for them and the other for their parents. We then discussed when the research would take place. We agreed to meet after school at my house. I asked if they had any questions and they did not so I left and reminded them to bring the signed informed consent forms on the day of the research. I considered Maria and Bob appropriate for my research because they are both in high school and live in Rexdale. I also wanted to have a male and female participate in the research so Maria and Bob made this
An information retrieval system (IRS) is the activity of obtaining information resources relevant to an information need for a collection of information resources. Searches can be based on metadata or on full text (or content based) indexing. The automated information retrieval system is used to reduce what has been called “information overload”. Many universities and public libraries use information retrieval system to provide access to books, journals, and other documents. Web search engines are the most visible information retrieval application.
Another main point that is described in each article is that
Middle Search Plus. Web. The Web. The Web. 1 Oct. 2015 -.