Contextual Data Modeling for Recommender System in Building and Construction Materials Business

Abstract

The recommendation system is one of the most important supported technologies to e-commerce that aims for recommending products or services to increase customer’s satisfaction. In this paper, we propose the method for Contextual Data Modeling as an improved version of Hybrid Filtering to introduce the context-awareness in the building and construction materials business. The recommendation along with e-commerce system are built, deployed, and tested in the real situation. The evaluation score is up to 97.8 compared to baseline.