Each of us has faced the problem of seeking information more than once. Regardless of the data source we use (internet, the file system of our hard drive, a database, or the global information system of a large company), the problems can be multiple and include the physical size of the database. disorganized information and various file types, as well as the complexity of accurately forming the search query. We have already reached the stage where the amount of data in one computer is comparable to the amount of text data stored in a suitable library.
Everything is clear about searching on a local computer. It is not surprising that you accept some particular functional feature to choose the file type (media, text, etc.) and the search target. Simply enter the name of the file you are looking for (or a piece of text, for example in Word format) and you’re done. The speed and the result completely depend on the text entered in the query line. There is nothing ingenious about it: just research the available files to determine their suitability. This in its meaning can be explained: what is the point of creating a complex system for such simple needs.
global search techniques
Things are completely different from the search systems that operate on the World Wide Web. You can’t just rely on exploring the available data. The vast volume (e.g. Yandex can boast an indexing capacity of more than 11 terabytes of data) of global chaos of unstructured information will make a simple search not only inefficient but also time-consuming and laborious. That’s why the focus has recently shifted to improving and enhancing search quality features.
Third on the list are ready-made solutions based on research technologies. They are intended for serious companies and companies that already have large databases and are equipped with all kinds of information and documentation systems. In principle, the same technologies can also be used for domestic needs. For example, a programmer working away from an office would make good use of a search to randomly access the source codes of programs on his hard drive. But here are the details. The main application of technology continues to be the solution to the problem of fast and accurate search of large volumes of data and work with various sources of information.
As we can see, the existing search systems and technologies, while functioning properly, do not completely solve the search problem. When speed is acceptable, the configuration leaves more desirable. If the research is accurate and sufficient, it consumes time and resources. Of course, it is possible to solve the problem in a very obvious way – by increasing the capacity of the computer. But equipping the office with dozens of super-fast computers that will constantly process phrase questions consisting of thousands of unique words, struggling with gigabytes of incoming correspondence, i.e. literature, final reports, and other information, is beyond illogical and disadvantageous. There is a better way.
Find unique similar content
Today many companies are working hard to develop all-around searches. Computational speeds allow the creation of technologies that allow interrogations on different bases and a wide range of complementary conditions. The experience of creating phrase searches gives these companies the necessary expertise to further develop and refine their search technology. Specifically, one of the most popular searches in Google, specifically one of its features is called “similar pages”. The use of this feature allows the user to display pages with the maximum similarity in their content using the first form. This function works in principle and does not yet allow to obtain the relevant results; it is mostly ambiguous and has little importance, moreover, using this feature sometimes shows the total absence of similar pages as a result. This most likely results from the chaotic and unstructured nature of information on the internet. But once the precedent is set, the free hindrance of the perfect search is only a matter of time.