Download Entireweb Web Search Engine !LINK!
I have been learning a great deal about search engines. I want to make one for the public and build and scale a business with that. I would like a template and plugins then work to customize the crawling, parsing, indexing and when legal scraping. I am surprised there is not a well known theme ready for download yet.
Download Entireweb Web Search Engine
I understand. I am surprised there is not a WordPress theme for that yet with a settings menu. I am researching the database programs as well as what I would need hosting wise to get the engine up and running. Producing a workable theme/s is essential before connecting to all of the search engine programs and databases. I think it is a fascinating venture that could eventually become profitable. If it became with hundreds of millions of dollars I would scale to my own servers probably after venture capital and depending before or after an and an IPO. If anyone has further resources please feel free to share. I have been a search engine enthusiast most of my life. I am trying to learn as much as possible.
I am aware that the guts are the data mining and processing engines. Building a webpage that supports all of those functions is one dimension and one task needs to be accomplished. Building a robust settings menu and then eventually providing analytics for developers and marketing. I think the search engine market is not saturated yet so that is where profits and competition is very possible. People like to utilize many engines and if a large audience is gathered then marketing revenue follows naturally. Finally, there is much better free and open source technology now then there ever was before. Thank you for you thoughts. If I eventually own a large and successful search engine company I might not sell it, except a percentage in shares. I have another project I am developing first through a modified WordPress theme. But I am learning about more than one type web service enterprise simultaneously. Thank you again .
Google search history has been available to users for a long time, but the ability for individuals to download all of the data at once was released in January, according to Google spokesman Jason Freidenfelds.
Like many great machines, the simple search engine interface - a single input box - hides a world of technical magic tricks. When you think about it, there are a few major challenges to overcome. How do you collect all the valid URLs in existence? How do you guess what the user wants and return only the relevant pages, in a sensible order? And how do you do that for 130 Trillion pages faster than a human reaction time?
You power up your favorite search engine and type a few key words and; whoa-la! You get over a hundred million hits in less than a minute. This sounds amazing right? Well not so much to the techies who really know how the internet works. Search engines like Google, Bing etc. do not even index up to 1% of the sites and pages on the web. As surprising as this may sound to some of us, this has actually been the truth since the invention of the World Wide Web.
While the deep web stays mostly hidden from public view, it is growing tremendously in economic importance. The search engine that can capture or index the full web could be useful for big data collection, particularly for researchers of finance, climate and government records.
To download an image into your Excel worksheet from any of these sources, you click the Online Pictures button in the Illustrations group on the Insert tab of the Ribbon (Alt+NF). Excel opens the Online Pictures dialog box. When you first open the Online Pictures dialog box, it contains a number of sample Bing searches arranged alphabetically by category with a sample image representing that category displayed.
To insert a 3-D model, open the Online 3D Models dialog box and select a thumbnail of the model from one of its displayed categories or from a search you perform of the 3-D images uploaded to the Microsoft Remix 3D website. As soon as you click the Insert button, Excel downloads a copy of the 3-D model into the current worksheet with its selection and rotation handles displayed.
Most currently available subject-specific lists and indexes are maintained by humans. Many of them are merely collections of web addresses and lack context-based relevance ranking and retrieval of results in multivariate combinations. What is needed are search engines that could traverse through pages at the last level in a subject-specific website. They would be able to do this as the numbers of such sites would be within manageable limits. Crawlers or robots traversing through such a subject-specific web subset could build up a comprehensive and complete bank of keywords. In turn, such keyword-mounted crawlers would efficiently and more frequently screen the last-level page of the site.
Subject-specific search engines would be able to maintain the freshness of the hits, as the crawlers would check a manageable number of specific web pages more frequently than they would by moving through the entire web.
Mike Gardner2 has rightly suggested that we need science-oriented search engines with sets of scientific metadata, as metadata are the key to better searching. Together with that proposal, an approach similar to peer-reviewing of scientific publications could be applied for categorizing and evaluating web pages based on their content, quality and subject-specificity. It would be feasible to use algorithms and rule-based expert systems to check content-richness, subject-specificity and freshness-based context-relevance ranking for retrieved results.
Millions of dollars need to be invested in developing search engines. This investment could be cost-effective if it resulted in an almost zero noise-to-signal ratio and precise but comprehensive subject-relevant hits. The development work should be done in the academic sector, but the completed search engines would have commercial potential, and would generate more revenue than general search engines because of their subject-specificity.
Development of subject-specific search engines would satisfy the growing demand for the latest, precise, value-added, noise-free hits with a high level of subject relevance. Many such search engines together would be able to index most of the World-Wide Web.
Because the Web is not indexed in any standard way, finding relevant information often seems an impossible task. There are several basic types of search tools that may be used to locate web resources: search engines, meta-search engines, metasites, and directories. The following chart details the differences between these search tools and provides examples of when to use each.
Since the ever-changing nature of the Web provides access to such vast numbers of information resources, web sites and documents appear, are deleted, or are moved to a different location each day. In this dynamic environment, search engines can be the most efficient way of locating information on a specific topic since they provide access to immense, continuously updated databases of Internet resources. There are hundreds of search engines designed to help you find information, whether you are looking for a topic of personal interest, or material for a scholarly research project.
Using search engines effectively may seem intimidating since new search engines appear frequently and existing engines often change their search interface and format. Though there is at present no consistent standard which governs search engines, they do share many basic features which allow the searcher to retrieve relevant information.
Most search engines use a computer program called a "spider" to collect information and index web resources. Sometimes called "webcrawlers" or "robots", these computer programs crawl through websites on the Internet, gathering information from all the pages of a website. The spider returns the information to a central database and then indexes the information it has gathered. When you use a search engine, you are searching the database compiled and indexed by the spider.
While all search engines rely on spiders to collect and index information, each performs its tasks in a slightly different way. Each search engine has its own search interface and uses different criteria for matching searches with documents. Each may also differ in terms of search speed and how it ranks results in order of relevance. Here is an explanation of how Google returns their results.
Searching would be easier if the search engines used a common standard. However, each search engine operates a little differently, and each search engine database contains a large number of unique documents, with limited overlap. Therefore, it is a good idea to search using more than one search engine to be sure you have retrieved most of the relevant information available on your topic.
A search is performed by submitting keywords in the search box. Then the search engine compiles a list of websites that contain these terms. The order of these sites is often determined by relevancy (i.e., how closely the site matches the query). Search engines look at the location and frequency of occurrence of search terms to help determine relevancy. The higher up on a website that a search term appears, the higher the ranking of that website. A website that contains a search term in the title or in the first few paragraphs of text will be determined to be more relevant than one in which the search term appears toward the end of the document.
Search engines also look at the number of times search terms appear in the text of the website. Sites with a higher frequency of a search term are determined to be more relevant. Google even looks at font size and boldness to help determine relevancy.
Most major search engines accept paid listings. Some search engines sell commercial spots on the results list so that the buyer's page is near the top as if it was one of the best results according to a link analysis. In the best search engines, sponsored links or paid listings are clearly labeled, kept separate from search results, but are relevant to the search. 041b061a72