Recommender System For E Community

Abstract

In this final year project, we aim to develop an e-commerce application for implementing a rec ommendation system that will personalize the products according to customer‘s preferences. A recommender system is a subclass used to predict the user‘s ratings or preference for an item. Due to overwhelming varieties of information on the internet, the recommendation has become a necessity. In the current state of research and development, many social media sites and online stores target people to recommend the relevant product. The significant contribution of our pro ject is to design such an efficient system that will refer to the product based on popularity, search es, and user‘s interest. The data has collected from different online stores such as Amazon or mobile.pk. We have applied different algorithms of the recommendation system which in cludes Popularity based, content-based and knowledge-based recommender system.