A semantic framework for ecommerce search engine optimization

Web search engines assist users to discover useful information on the World Wide Web. However, when the same query is submitted by different users, typical search engines provide the identical results regardless of who submitted the query. The search engines usually provide search results without considering user context or interests. Ecommerce web search personalization is an emerging area in the research which has already been achieved the curiosity. Anticipating the web user needs is one of the key factors of this framework and provides the qualitative results based on web user behavior. In this manuscript; we propose an approach for personalizing the web search using techniques, applications and opportunities of Data mining and web mining. Personalization of ecommerce has become a trend of current business scenario to overcome the problem of product overload, to appease the customers with special treatment offerings. Over the last 10 years it has been adopted as a skillful strategy to give enhanced service to the web clients and sustain in the market. © 2018, Bharati Vidyapeeth's Institute of Computer Applications and Management.