An Improved Indexing Mechanism to Index Web Documents

Abstract

Owing to the dynamic nature of the web, it is difficult for search engine to find the relevant documents to serve a user query. For this purpose, search engine maintains the index of downloaded documents stored in the local repository. Whenever a query comes search engine searches the index in order to find the relevant matched results to be presented to the user. The quality of the matched result depends on the information stored in the index. The more efficient is the structure of index, more efficient the performance of search engine. Generally, inverted index are based solely on the frequency of keywords present in number of documents. In order to improve the efficiency of the search engine, an improved indexing mechanism to index the web documents is being proposed that keeps the context related information integrated with the frequency of the keyword. The structure is implemented using Trie. The implementation results on various documents show that proposed index efficiently stores the documents and search is fast.

An Automatic User Interest Mining Technique for Retrieving Quality Data

“…A basic search engine has five main components namely: User interface, crawler also known as spider, indexing module, query processing module and ranking module as shown in Figure 1 in the Appendix (Mudgil, Sharma, & Gupta 2013).…”

Ειδήσεις Στο Διαδίκτυο

“…Μια μθχανι αναηιτθςθσ αποτελείται ςυνικωσ από τρία βαςικά μζρθ που είναι τα εξισ (Mudgil, Sharma, & Gupta, 2013;Ledford, 2009;Enge, Spencer, & Stricchiola, 2015): (Βζγλθσ, Ρομπόρτςθσ, & Αβραάμ, 2004;Ledford, 2009;Levene, 2010 (Βζγλθσ, Ρομπόρτςθσ, & Αβραάμ, 2004;Ledford, 2009;Levene, 2010 (Βζγλθσ, Ρομπόρτςθσ, & Αβραάμ, 2004;Ledford, 2009;Levene, 2010).…”