Soft Intelligence Approaches for Selecting Products in Online Market
Biswajit Biswas, Manas Kumar Sanyal · 2019
Soft Computing techniques are getting more popularity in Digital Media market as it helps to increase the efficiency and profitability in the e-commerce business. Soft intelligence approaches minimize the amount of time to converse the best solution from huge solution base; hence it can process real time huge data for the Business Environment especially for a product or a group of products in the online e-commerce business. To survive in the global competitive business environment for any enterprises, it's necessary to use artificial intelligence to harness its power to reshape the business with the change in demand of people needs. Consumers are highly educated and are aware of the product features along with the best deals over online business sites. The online market leaders in India like Flipkart, Amazon and Snapdeal are taking customer feedback on a product on regular basis and extracting values after analyzing them to devise strategies to attract more and more customers for their products. The purpose of our research work is to propose a new algorithm Hybrid Bee Optimization (HBO) based on Social behavior heuristic algorithms that can be utilized to attract customers based on their past feedbacks and purchased behaviors. The best feature of our proposed algorithm, Hybrid Bee optimization (HBO) is to search products from a huge listed product based on features based on the social behavior of consumers on a product or a group of products.