Present invention provides specially an intuitive GUI design of e-commerce using cognitive computing framework to develop a template for virtual e-commerce website suitable for heterogeneous users. The invention carried out stepwise template development for an intuitive virtual e-commerce shopping website. We began with documenting a mental model and the behavioral pattern of users and this assisted us to figure out the gaps between their current knowledge and target knowledge. Based on this understanding, design procedures were formed and eventually, those are reflected in a prototype of an intuitive virtual e-commerce shopping site. The prototype is validated with standard methods. Finally, the template is formed. The contribution of features such machine learning and artificial intelligence is shown by introducing a case study on Demographic content-based collaborative recommendation system framework, Navigation optimization through modified prefix span algorithm and Review summarization using Gibbs sampling based Latent Dirichlet Allocation classifier which have reduced human efforts and increased user satisfaction level. In this way, machine learning & artificial intelligence have contributed in designing intuitive interfaces for e-commerce shopping sites. Additional contribution to make e-commerce website more intuitive is demonstrated by another case study redesigning ICONs of an e-commerce online banking websites to make it more users friendly.
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