A Machine Learning Approach to Make Smart Rec...

A Machine Learning Approach to Make Smart Recommendations

Author Name : Prof. Farhana Siddiqui, Uzma Unagar, Sara Shaikh, Sadaf Abdul Qadir

ABSTRACT Traditionally, people used to shop for products encouraged to them via their friends or by the people they trust. The advancement in technology has extended this circle to include sites that uses recommendation engines. Recommendation engines are advertising and marketing tools which filter the information using different techniques and recommends the most relevant items to the users. These systems helps the users to find products that they are looking for, or those they might be interested in from a massive pool of online information. The degree of relevance between the customer and the recommended product defines whether the product will be purchased or not. Therefore recommendation systems play a very crucial role in creating a positive impact on user experience and increasing company’s commercial enterprise revenue.