E-commerce Website Ranking Using Semantic Web Mining and Neural Computing

Abstract With the acceleration of Internet era, E-commerce industry has grown rapidly and a good E-Commerce website has become indispensable for every commerce based organization. However E-Commerce industry in developing countries like India is still lagging behind to satisfy the challenging and dynamic needs of consumers. Enterprises are deploying new strategies to retain or rebuild relations with their old customers and persistently focusing on new customers. Keeping in mind the thought of blending intelligent web mining with E-Commerce, this research work discusses the design of a Semantic and Neural based E Commerce page ranking algorithm, named SNEC page ranking algorithm and its implementation in the form of website ranking tool that may be well utilized for ranking of E- Commerce websites to assist the customers by finding relevant web sites on the top during their search for buying a specific product as well as businesses to compare their strengths and weaknesses with competitors and hence to improve their profits by providing relevant product at competitive price with consumer friendly services to the customers by better structuring their E Commerce websites.

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