Now, a day’s internet has an important role in our lives for searching information. Internet used in every field for getting information, for this search engines are used. For maintaining database, search engine uses indexing techniques. In the current environment, indexing in search engines is essential, especially considering how active the World Wide Web is. Because there are so many websites on the internet, search engines have difficulty finding pertinent information fast in response to user requests. With millions of websites available, search engines have a difficult time finding the most pertinent content fast and efficiently. Indexers for search engines are essential for effectively indexing and arranging pertinent data, which facilitates quicker retrieval and more precise search results. The information can be getting by simply entering keyword and the relevant result shows to the user but, user wants to access the data in minimum time also wants to get relevant data. Relevancy is the main problem of the search engine. Due to this many researchers have been worked for many decades. Relevance has lots of challenges. Sometimes most of the queries do not match with the search data. Here is the description how relevancy maintained. For getting relevancy a best algorithm of sorting is used by which a lot of URLs are indexed and served by ranking method. Here also mention indexing using B+ tree which is the fastest searching algorithm. And it takes log(n) time to search the data.

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A Novel Method to Boost URL Sorting and Indexing Effectiveness

  • Akshun Tyagi,
  • Pradeep Pant,
  • Mukesh Rawat

摘要

Now, a day’s internet has an important role in our lives for searching information. Internet used in every field for getting information, for this search engines are used. For maintaining database, search engine uses indexing techniques. In the current environment, indexing in search engines is essential, especially considering how active the World Wide Web is. Because there are so many websites on the internet, search engines have difficulty finding pertinent information fast in response to user requests. With millions of websites available, search engines have a difficult time finding the most pertinent content fast and efficiently. Indexers for search engines are essential for effectively indexing and arranging pertinent data, which facilitates quicker retrieval and more precise search results. The information can be getting by simply entering keyword and the relevant result shows to the user but, user wants to access the data in minimum time also wants to get relevant data. Relevancy is the main problem of the search engine. Due to this many researchers have been worked for many decades. Relevance has lots of challenges. Sometimes most of the queries do not match with the search data. Here is the description how relevancy maintained. For getting relevancy a best algorithm of sorting is used by which a lot of URLs are indexed and served by ranking method. Here also mention indexing using B+ tree which is the fastest searching algorithm. And it takes log(n) time to search the data.