In this blog post, we will look at how search engines quickly find the most relevant results among the many web pages.
Internet search engines find web pages containing search terms and display them on the screen. To determine the order in which web pages appear on the screen, search engines use various methods that take into account hundreds of different factors. The most important of these factors are relevance and relevance. In order to display search results in a short period of time, search engines collect data from web pages and create an index in advance. An index is a list of words in alphabetical order, which stores the web pages where each word appears and the frequency of each word. At this time, the importance of each web page is also recorded.
One of the core functions of a search engine is to effectively manage vast amounts of data and quickly provide results related to search terms. To do this, search engines constantly use web crawlers to browse the Internet and find new web pages. Web crawlers analyze the content of the web pages they find and follow the links contained in those pages to navigate to other relevant pages. Through this process, the search engine’s database is constantly updated and can provide the latest information to users.
Importance is a value that represents the importance of a web page and can be measured using link analysis techniques. In basic link analysis techniques, the value of web page A is the sum of the values received from each web page that links to A. The value of A is then divided equally among the other web pages that A links to. In other words, if A has a value of 4 and A links to another web page through two links, the value of A is maintained and 2 is sent to each of the two web pages. However, the value actually received by the two web pages is the value of 2 multiplied by the damping factor. The damping factor is a value that reflects the percentage of users who do not navigate to another web page via a link while reading a web page, and has a value of less than 1. The damping factor is applied equally to all links. For example, if the ratio is 20%, the damping factor is 0.8, and the two web pages receive 1.6 from A, respectively. The importance of each web page is the value when all the values received through the links to the web pages are reflected. Since the links connecting the web pages can change, the search engine periodically updates the importance of the web pages.
To improve the efficiency of search engines, it is important not only to consider the importance of a page, but also to improve the content quality and user experience of the page. To this end, search engines evaluate various factors such as page loading speed, mobile friendliness, and user interface design. These factors directly affect how useful users find search results, and search engines constantly optimize their algorithms to improve user satisfaction.
When a user enters a search term, the search engine finds web pages that match the search term in the index. The relevance is determined by a formula that reflects the frequency of the word, the number of web pages containing the word, and the number of characters in the web page. The more the search term appears, the fewer other web pages that include the search term, and the fewer characters the current web page has compared to the average number of characters in all web pages, the higher the relevance. The search engine determines the order of web pages to be listed on the screen by adding up the importance, relevance, and other items in an appropriate ratio.
In addition, search engines analyze users’ search patterns and click data to improve the accuracy and relevance of search results. For example, if a user frequently clicks on a specific webpage for a specific search term, that page is more likely to appear higher in the search results for that term. This allows search engines to reflect users’ preferences and provide a personalized search experience.
As such, search engines are constantly evolving to provide users with the best search results through various techniques and algorithms. These advancements play an important role in improving user experience, increasing accessibility to information, and sharing knowledge globally. Furthermore, search engines are becoming more sophisticated in understanding the meaning of search terms and identifying user intent by incorporating artificial intelligence and machine learning technologies. For example, natural language processing (NLP) technology can be used to understand context and provide users with more accurate and relevant search results.
The development of search engines is leading to innovation in various fields beyond simply providing information. For example, in the medical field, search engines can be used to quickly find the latest research results or information on diseases, and in the education field, students can easily find the learning materials they need. In addition, they also provide useful data for market research and competitive analysis in the business sector to support the decision-making process.
In conclusion, search engines are not just tools, but they play an important role in increasing the accessibility and efficiency of information in modern society. This allows individuals and organizations to quickly find and use the information they need, which ultimately contributes to the development of society as a whole.
