Abstract
A recommendation engine is a feature (not a product) that filters items by predicting how a user might rate them. It solves the problem of connecting your existing users with the right items in your massive inventory (i.e. tens of thousands to millions) of products or content. Product recommendations are a must-have feature for all ecommerce websites, as they can drive sales, increase conversion rate and order value. Sending personalized product recommendations to your customers increases sales in just a few clicks. Add a Product Recommendations content block or merge tag to E-commerce Automation workflows to encourage subscribers to visit your store, re-engage inactive customers by promoting relevant items, suggest your best-selling products to new customers, and much more. Most of web portals have integrated this feature but web personalization is still a demanding issue. This project works target to integrate web personalization feature with product recommendation to enhance the sal