ABSTRACT
In the present scenario, the winding-up of sites for web-based shopping has been increasingly witnessed these days. The objective is to dissect the web-based business sites of high commendation with help of reviews and swarm-based improvement system. Initially the review data was gathered from existing customers of the items from web-based business locales with a few features. Then the Fuzzy C Means (FCM) clustering strategy was utilized to group the features for a less demanding procedure. The novelty of this work is the usage of the Whale Optimization Algorithm (WOA) to recognize ideal features of the items in sites, to direct the advance ideal feature-based positioning procedure and to discover the top business webpages. From the execution, the outcomes demonstrate the greatest exactness rate, that is, 90%–94% compared with existing methods.
