Hybrid Book Recommendation Engine
Pratiksha R. Deshmukh · 2015
Today, with the advancements in mobile technology and internet being abasic necessity in homes, people mostly prefer to buy and sell things online.With hundreds of websites and billions of products to select from, it becomesvery dificult to know what a customer wants.Capturing interests of users and allowing them to narrow to best productshas become the next thing. Most of the recommendations are based on conventional content, context and collaborative recommendations algorithms.All these algorithms alone fail to recommend best and efficient recommendations to user. So, there is a need to evolve a unique algorithm which combinesthe features of conventional algorithm along with its new features. A hybrid recommender system combines different recommender algorithms which fail individually and provide a unique and novel mix of recommendations.