Introduction We start by discussing the PageRank algorithm, the foundation of the Google search engine. Google is a next generation search engine, that became very popular on the Internet since its creation a few years ago (a fact that empirically proves its qualities). Google is based

Abstract—This paper discusses the creation of an online system for plagiarism detection. This is a plagiarism detection system which searches the Internet for evidence of plagiarism within a document. This is achieved using the PHP scripting language in conjunction with the Google Internet search

is not possible with general, Web-wide search engines. Unfortunately these portals are difficult and time-consuming to maintain. This paper advocates the use of machine learning techniques to greatly automate the creation and maintenance of domain-specific Internet portals. We describe new research

to be the first general-purpose, fully-automated question-answering system available on the web. Second, we describe MULDER's architecture, which relies on multiple search-engine queries, natural-language parsing, and a novel voting procedure to yield reliable answers coupled with high recall. Finally, we

Abstract—This paper compares the search engine marketing strategies adopted in China and the Western countries through two illustrative cases, namely, Google and Baidu. Marketers in the West use search engine optimization (SEO) to rank their sites higher for queries in Google. Baidu, however

This paper investigated the use of Google and Yahoo in retrieving relevant information resources by Nigerian Internet users. It was found that Nigerians prefer the search services of Google to Yahoo. This is because with Google search engine, they are able to retrieve the exact information

Abstract—Reengineering and integrated development platforms typically do not list search results in a particularly useful order. PageRank is the algorithm prominently used by the Google internet search engine to rank the relative importance of elements in a set of hyperlinked documents

Document sources are available everywhere, both within the internal networks of organizations and on the Internet. Even individual organizations use search engines from different vendors to index their internal document collections. These search engines are typically incompatible

Searching on the Internet today can be compared to dragging a net across the surfgace of the ocean. While a great deal may be caught in the net, there is still a wealth of information that is deep, and therefore, missed. The reason is simple. Most of the Web's information is buried far down

The paper presents a new approach to source code exploration, which is the result of integrating the Google Desktop Search (GDS) engine into the Eclipse development environment. The resulting search engine, named Google Eclipse Search (GES), provides improved searching in Eclipse software projects