Showing posts with label Google. Show all posts
Showing posts with label Google. Show all posts

Saturday, December 13, 2008

Google Chrome 1.0 Released


Already more than four years, the label still attached in the beta test of Gmail. Different fates with Gmail, Google on the beta label Chrome finally released in 100 days since betanya version released to the public and has updated 14 times. Today, Google has announced that Google has released Chrome 1.0 and its users can update to this latest version. For this release, Google said it has made improvements to stability and especially its performance. On the basis of the achievement of objectives and performance stability is the basis betanya Google to remove the label. Based on the records of Google, in 100 days has more than 10 million active users this browser.

In the case of start-up and when meloading web page, Google stated that the Chrome 1.0 will do so more quickly. In this release, has also made improvements on the Bookmark feature manager and privacy controls. To support the use of extensions and also a version for Mac and Linux is still in development.

So far, I have only a one-time only use Google because for Chrome features are still limited, but I have had to update the version 1.0.154.36 facilities through automatic update the page. How do with you, whether already using Google Chrome? Have update to Google Chrome 1.0? For those who have not been using, download it directly from Google web page Chrome.


To install the Internet connection without the need to please download Google the Offline Chrome 1.0 Installer.
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Using Google Translate Through Nice Translator


Some times is ago, Google just to design repeat the service interface Google Translate, service translator of Ianguage inggris to 52 other Ianguage which supported by it. Interface Bahasa Indonesia now have made available by the name of Google Terjemahan.


Translator through text or URL web can be done at same stuffing box. But so, be like before all, translator can only be done from one language to one other language in once process. If for example you wish the direct translator result in a few gone to languages, you can try the service given by Nice Translator.
The translator result by Nice Translator be in fact use the translator service Google Translate, but interface and way of its use differ. More dynamic compared to passing Google Translate directly. If you use Nice Translator, so you start to type, processing the translator will direct done, and this can be done for a few languages of purpose of at the same time.

Personal me possibly not yet too needing [of] service be like this, remember so far translator through Google Translate usually limited to from one Ianguage to one Ianguage and that even also a more regular to translate the page;yard web by entering URL-nya, and for translator by entering URL this, Nice Translator cannot process it. Possible you need?

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The New Social Network With Google Friend Connect

Look out MySpace and Facebook, Google has decided to enter the social networking game. Google announced the launch last weekend and has just opened up beta testing to a select number of people. I think this is a great move by Google and will quickly become a contender in this space.

Google Friend Connect is a service that helps website owners grow traffic by enabling any site on the web to easily provide social features for its visitors. any website owner can add a snippet of code to his or her site and get social features up and running immediately without programming — picking and choosing from built-in functionality like user registration, invitations, members gallery, message posting, and reviews, as well as third-party applications built by the OpenSocial developer community.

Google Friend Connect boasts the following high-level features:
1.Attract more visitors to your site - Visitors bring along friends from social networks like Facebook, orkut, and others to interact on your site.

2.Enrich your site with social features - Choose engaging social features from a catalog of gadgets provided by Google and the OpenSocial developer community.

3.No programming whatsoever - Just copy and paste snippets of code into your site, and Google Friend Connect does the rest.
4.There are a couple of demo sites already setup which you can test and interact with.If you’re interested in being part of the beta testing group, you can apply directly on their site here. I just applied today so hopefully I will get accepted and can start using Google Friend Connect on eBlog Templates.

If you like this post then please consider subscribing to our eBlog Templates RSS feed. You can also subscribe by email and have new templates and articles sent directly to your inbox.
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Friday, December 12, 2008

How Web Search Engines Work

A search engine operates, in the following order

  1. Web crawling
  2. Indexing
  3. Searching
Web search engines work by storing information about many web pages, which they retrieve from the WWW itself. These pages are retrieved by a Web crawler (sometimes also known as a spider) — an automated Web browser which follows every link it sees. Exclusions can be made by the use of robots.txt. The contents of each page are then analyzed to determine how it should be indexed (for example, words are extracted from the titles, headings, or special fields called meta tags). Data about web pages are stored in an index database for use in later queries. Some search engines, such as Google, store all or part of the source page (referred to as a cache) as well as information about the web pages, whereas others, such as AltaVista, store every word of every page they find. This cached page always holds the actual search text since it is the one that was actually indexed, so it can be very useful when the content of the current page has been updated and the search terms are no longer in it. This problem might be considered to be a mild form of linkrot, and Google's handling of it increases usability by satisfying user expectations that the search terms will be on the returned webpage. This satisfies the principle of least astonishment since the user normally expects the search terms to be on the returned pages. Increased search relevance makes these cached pages very useful, even beyond the fact that they may contain data that may no longer be available elsewhere.

When a user enters a query into a search engine (typically by using key words), the engine examines its index and provides a listing of best-matching web pages according to its criteria, usually with a short summary containing the document's title and sometimes parts of the text. Most search engines support the use of the boolean operators AND, OR and NOT to further specify the search query. Some search engines provide an advanced feature called proximity search which allows users to define the distance between keywords.

The usefulness of a search engine depends on the relevance of the result set it gives back. While there may be millions of webpages that include a particular word or phrase, some pages may be more relevant, popular, or authoritative than others. Most search engines employ methods to rank the results to provide the "best" results first. How a search engine decides which pages are the best matches, and what order the results should be shown in, varies widely from one engine to another. The methods also change over time as Internet usage changes and new techniques evolve.

Most Web search engines are commercial ventures supported by advertising revenue and, as a result, some employ the practice of allowing advertisers to pay money to have their listings ranked higher in search results. Those search engines which do not accept money for their search engine results make money by running search related ads alongside the regular search engine results. The search engines make money every time someone clicks on one of these ads.

Revenue in the web search portals industry is projected to grow in 2008 by 13.4 percent, with broadband connections expected to rise by 15.1 percent. Between 2008 and 2012, industry revenue is projected to rise by 56 percent as Internet penetration still has some way to go to reach full saturation in American households. Furthermore, broadband services are projected to account for an ever increasing share of domestic Internet users, rising to 118.7 million by 2012, with an increasing share accounted for by fiber-optic and high speed cable lines. Read More..

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History of Search Engine

Before there were search engines there was a complete list of all webservers. The list was edited by Tim Berners-Lee and hosted on the CERN webserver. One historical snapshot from 1992 remains.As more and more webservers went online the central list could not keep up. On the NCSA Site new servers were announced under the title "What's New!" but no complete listing existed any more.

The very first tool used for searching on the (pre-web) Internet was Archie.The name stands for "archive" without the "v." It was created in 1990 by Alan Emtage, a student at McGill University in Montreal. The program downloaded the directory listings of all the files located on public anonymous FTP (File Transfer Protocol) sites, creating a searchable database of file names; however, Archie did not index the contents of these sites.

The rise of Gopher (created in 1991 by Mark McCahill at the University of Minnesota) led to two new search programs, Veronica and Jughead. Like Archie, they searched the file names and titles stored in Gopher index systems. Veronica (Very Easy Rodent-Oriented Net-wide Index to Computerized Archives) provided a keyword search of most Gopher menu titles in the entire Gopher listings. Jughead (Jonzy's Universal Gopher Hierarchy Excavation And Display) was a tool for obtaining menu information from specific Gopher servers. While the name of the search engine "Archie" was not a reference to the Archie comic book series, "Veronica" and "Jughead" are characters in the series, thus referencing their predecessor.

The first Web search engine was Wanlex, a now-defunct index collected by the World Wide Web Wanderer, a web crawler developed by Matthew Gray at MIT in 1993. Another very early search engine, Aliweb, also appeared in 1993. JumpStation (released in early 1994) used a crawler to find web pages for searching, but search was limited to the title of web pages only. One of the first "full text" crawler-based search engines was WebCrawler, which came out in 1994. Unlike its predecessors, it let users search for any word in any webpage, which became the standard for all major search engines since. It was also the first one to be widely known by the public. Also in 1994 Lycos (which started at Carnegie Mellon University) was launched, and became a major commercial endeavor.

Soon after, many search engines appeared and vied for popularity. These included Magellan, Excite, Infoseek, Inktomi, Northern Light, and AltaVista. Yahoo! was among the most popular ways for people to find web pages of interest, but its search function operated on its web directory, rather than full-text copies of web pages. Information seekers could also browse the directory instead of doing a keyword-based search.

In 1996, Netscape was looking to give a single search engine an exclusive deal to be their featured search engine. There was so much interest that instead a deal was struck with Netscape by 5 of the major search engines, where for $5Million per year each search engine would be in a rotation on the Netscape search engine page. These five engines were: Yahoo!, Magellan, Lycos, Infoseek and Excite.

Search engines were also known as some of the brightest stars in the Internet investing frenzy that occurred in the late 1990s.[4] Several companies entered the market spectacularly, receiving record gains during their initial public offerings. Some have taken down their public search engine, and are marketing enterprise-only editions, such as Northern Light. Many search engine companies were caught up in the dot-com bubble, a speculation-driven market boom that peaked in 1999 and ended in 2001.

Around 2000, the Google search engine rose to prominence.[citation needed] The company achieved better results for many searches with an innovation called PageRank. This iterative algorithm ranks web pages based on the number and PageRank of other web sites and pages that link there, on the premise that good or desirable pages are linked to more than others. Google also maintained a minimalist interface to its search engine. In contrast, many of its competitors embedded a search engine in a web portal.

By 2000, Yahoo was providing search services based on Inktomi's search engine. Yahoo! acquired Inktomi in 2002, and Overture (which owned AlltheWeb and AltaVista) in 2003. Yahoo! switched to Google's search engine until 2004, when it launched its own search engine based on the combined technologies of its acquisitions.

Microsoft first launched MSN Search (since re-branded Live Search) in the fall of 1998 using search results from Inktomi. In early 1999 the site began to display listings from Looksmart blended with results from Inktomi except for a short time in 1999 when results from AltaVista were used instead. In 2004, Microsoft began a transition to its own search technology, powered by its own web crawler (called msnbot).

As of late 2007, Google was by far the most popular Web search engine worldwide.[5] [6] A number of country-specific search engine companies have become prominent; for example Baidu is the most popular search engine in the People's Republic of China and guruji.com in India. Read More..

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What is Web Search Engine

A Web search engine is a tool designed to search for information on the World Wide Web. Information may consist of web pages, images, information and other types of files. Some search engines also mine data available in newsbooks, databases, or open directories. Unlike Web directories, which are maintained by human editors, search engines operate algorithmically or are a mixture of algorithmic and human input. Read More..

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Kinds of Adsense

AdSense for Feeds
n May 2005, Google announced a limited-participation beta version of AdSense for Feeds, a version of AdSense that runs on RSS and Atom feeds that have more than 100 active subscribers. According to the Official Google Blog, "advertisers have their ads placed in the most appropriate feed articles; publishers are paid for their original content; readers see relevant advertising—and in the long run, more quality feeds to choose from."[6]

AdSense for Feeds works by inserting images into a feed. When the image is displayed by a RSS reader or Web browser, Google writes the advertising content into the image that it returns. The advertisement content is chosen based on the content of the feed surrounding the image. When the user clicks the image, he or she is redirected to the advertiser's website in the same way as regular AdSense advertisements.

AdSense for Feeds has remained in its beta state until August 15, 2008, when it became available to all AdSense users.

AdSense for search
A companion to the regular AdSense program, AdSense for search, allows website owners to place Google search boxes on their websites. When a user searches the Internet or the website with the search box, Google shares any advertising revenue it makes from those searches with the website owner. However the publisher is paid only if the advertisements on the page are clicked: AdSense does not pay publishers for mere searches.

AdSense for mobile content
AdSense for mobile content allows publishers to generate earnings from their mobile websites using targeted Google advertisements. Just like AdSense for content, Google matches advertisements to the content of a website — in this case, a mobile website. Read More..

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Sunday, December 7, 2008

What is AdSense?

AdSense is an advertisement application run by Google. Website owners can enroll in this program to enable text, image, and more recently, video advertisements on their websites. These advertisements are administered by Google and generate revenue on either a per-click or per-impression basis. Google is also currently beta-testing a cost-per-action based service. Read More..

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