On-Lib: An Application and Analysis of Fuzzy-Fast Query Searching and Clustering on Library Database
Instant searching is an emerging technique which is used by most of the search engines. It will return the results for a user query instantly, i.e., before the user types in the entire query. This technique will improve the user experience by predicting the results for the query by matching the keywords in the query. Here the main constraint is the time to process each keyword and display the result instantly. This paper uses two techniques to meet the time requirement and predict most relevant answers. Instead of providing mixture of results for a query, clustering is done on the query results based on the similarity measure. Clustering at sentence level will group the sentences based on the similarity measure. Clustering technique used here will improve the overall performance of searching algorithm.