Searching in Database and Improving Output using Frequency Based Ranking
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.7, No. 5)Publication Date: 2018-05-30
Authors : Unnathi Ladhe; Rohini Sable; Shital Tilekar; S. N. Ghotkar;
Page : 18-23
Keywords : SQL Like Operator; Database; Stopword; Keyword frequency; Search Engine;
Abstract
Searching is one of the main topics being discussed these days, may it be in files, folders, big data or Database. The data is increasing as time passes; every second, minute data is added to data stores. Generally searching results in database gives multiple tuples as output of a query. To provide users with most appropriate output, frequency based ranking is used to improve the most likely solution of the query. Proposed methodology uses, query ranking mechanism based on frequency of keywords found in the query made by user. This approach helps to rank most relevant search results on the top of the result list.
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Last modified: 2018-05-13 17:04:48