Recommendation System using Clustering Method based on Item Category and Weight
Carmelita Dabre, Arti Despande · 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC) · 2017
The recent growth of the Internet and increase in web services, it is difficult as well as time consuming to search for the appropriate information that one needs.Recommender systems have become increasingly popular in recent years, and are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general. This paper proposes a new and efficient way for recommendation system using clustering method based on item category and weight. The method proposed in this paper focuses on clustering method along with the RFM score of the product.