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Mirc Search Engines Xdcc

Mirc Search Engines Xdcc 

MIRC is millions of people chatting, sharing pictures, music, games, and files, connecting to each other via thousands of servers on hundreds of networks, all around the world.  Fifteen years after IRC was invented, there are several forms of internet chat - the original free unix server version has been modified for unix and other operating systems, and copywrited under various names - but they are all basically the same. Its only the bells and whistles that change.

 

A computer running irc software (ircd) is called an IRC "server". Your computer talks to the IRC server using software called an IRC "client". Clients send commands to, and receive information from, the IRC server. The way the user sees this is the ability to talk to other users in channels and thru private message, and send commands to the server, such as /join, /part, and setting user modes.

 

If a client is integrated into a web page or pop-up using java, its called a WebChat. Generally speaking, until fairly recently java clients were not used to access large IRC networks, but were used to access small, sponsored chatrooms.  Once connected to an IRC server, clients can connect directly to other users, and even send files to each other, with a process appropriately called DCC, or direct client to client.

 

SearchIRC's database of channels and networks can be accessed many different ways.

 

1.        Search:

 

·         Quick Search.This is the input box you see on the front of our home page, and under the SearchIRC logo on all other pages. It is a basic keyword search, similar to the type you use when you are searching for websites on Google - only our search brings IRC channel listings as results. Type in a word, or several words, and SearchIRC will list channels according to their relevance to those search words. For example, if you type the word, 'debian' the results will show all the channels named #debian and all the channels with 'debian' in their topic. Channels that display the word more than once will appear higher than channels that show the word one time, and channels with more users will rank higher than those with fewer users. If you type in more than one word, channels with matches for those words will appear higher than those with fewer of the words. If there are no results with all words, that means that no channels contain all of the keywords you searched for.

 

·         Advanced Search. SearchIRC's Advanced Search feature allows users to narrow their searches by permitting partial or exact matches for keywords, in channel titles or topics, or both, on all networks or a particular network, with a minimum/maximum number of users in the channel, and options to limit the number and color of the responses per page. The Advanced Search is particularly useful narrowing down results for channels that may be hard to find because they contain a commonly used word or phrase.

 

·         Tip Clicking on "Disable Color" in the upper right of the listings will not only disable color, it will also sort the results by the number of users in the channel.

 

2.        Directory:

 

·         Chat Directory lists active chat rooms by subject. Have you ever been frustrated trying to find a channel about a particular subject by keyword? You aren't alone. Users asked us to come up with a solution to help them find the channels they want - and here it is. SearchIRC's Chat Directory is an ever growing list of channels by subject. Channels can be submitted by users or by channel owners. The channel and its description is added to our directory - and here is the extraordinary part - to ensure every channel in our directory is active when you join it, we cross reference the directory with our search database, and ONLY show channels that are operational and contain at least 2 users on average.

 

·         Network Directory. Is a list of networks by category - Theme, Regional, Entertainment, Gaming, Family, etc. This list is growing as network administrators add their network to the proper category. You can find the Network Directory on SearchIRC's home page.

 

3.        Largest Channels

 

·         100 Largest. SearchIRC compiles every channel's average number of users. The average number of users is the number of users in a channel counted each time the bot visits the network, divided by the number of times the bot has seen the channel. ie, if you have 5 users the first time the bot sees your channel, 10 the second time, 20 the third time, and 5 the fourth time, the bot will add 5+10+20+5 and divide it by 4 to get an average of 10 users. The 100 channels on IRC with the highest average number of users is listed as our Top 100.

 
Picture Search Engines

Picture Search Engines

 

The phrase 'Image Search Engine' is most often used of Web-based services that collect and index images from other sites on the Internet. Image searching is sometimes offered by general search engines, like Google or Altavista, but there are also specialised image search engines - services devoted to indexing images or multimedia. In addition, there are meta- search engines, which pass on search requests to more than one search engine and then bring back the results.

 

Sometimes 'Image Search Engine' is also used to refer to collection-based search engines - services that index a single or small number of image collections. Large digital libraries or commercial stock photo collections, like Corbis, typically offer such search engine-like facilities.

 

All of the categories of image search engines mentioned above are text-based - their indexes are created from words associated with the images. There have also been attempts to create content-based search engines, which 'index' visual characteristics of an image, such as its shape and colour. However, these tend to be experimental and are often limited to single image collections.

 

Image search engines are based on existing search engine technology, but they use additional strategies to identify, categorise and rank images.

A search engine's indexing of images is done automatically, rather than using human indexers, so it must find ways to guess at the image's content. It might take into account its filename or any accompanying 'ALT' picture tags (these are coded into the HTML page). It might look for clues from the image's context - for example, the words or phrases that are close to the image, or the 'META' tags found at the top of the HTML coding. The characteristics of the Web site and its server will also often be taken into account.

 

Analysis of an image's text and context can be used to exclude images as well as include them - for example, an image engine will usually consider an image's context and associated words when it is blocking out adult material.

 

Currently, the main English-language-based search engines offering image searches are AllTheWeb, AltaVista, Google and Lycos. They are all US-based. Yahoo (strictly speaking a directory rather than a search engine) offers a picture search, but this is drawn from the Corbis collection (reviewed in section 3, below). HotBot and MSN Search do not offer true image search features, they simply enable users to limit their search results to 'only pages with images'.

 

 

Conclusion

 

 

Image search engines attempt to give access to the wide range of images available on the Internet.

 

For those used to viewing well-indexed collections of quality images, the results of the large automated image search engines will probably disappoint. The poor quality of their offerings is not surprising, since they reflect the randomness and unevenness of the Web. The frequent irrelevancy of their results is also explicable, since the automated engines are guessing at their images' visual subject content using indirect textual clues.

 

Anything, then, that enables the user to have more control over their image searching is helpful. The ability to filter a search - to include and exclude items - is important in any Web searching, but particularly so when searching for images. Many users will wish to exclude adult imagery from their search results, but it can also be very useful to limit by file type, file size, or colour - and the ability to use Boolean logic or phrases will greatly improve the relevancy of the results. An image search engine also needs to return a reasonable number of results, since in any given search a fair proportion of the images found are likely to be irrelevant or of insufficient quality.

 

Collection-based image search engines include images selected for quality and indexed by hand. The images they contain are seldom found within the results of general Web search engines. Collection-based engines, then, will usually offer much better results than their search engine counterparts. The commercial and copyright issues will also be much clearer - although many users seem to prefer to look to image search engines for images they can 'freely' re-use, as if easy access and absent copyright notices lets them off the moral and legal hook. True copyright-free images are rare on the Web, and many image search engines do operate on commercial imperatives, even subtlety skewing their results towards commercial ends.
 
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