Content-based Recommender System with Descriptive Analytics
Su-Cheng Haw, Lit-Jie Chew, Kyle Ong, Kok-Why Ng, Palanichamy Naveen, Elham Abdulwahab Anaam · Journal of System and Management Sciences · 2022
A recommendation system (RS) is an information filtering system that provides users with information, which one may be interested in.Ontology modelling has been widely used to conceptualize items and their semantic relationship together.Hence, in this paper, we propose an intelligent CB RS that allows users to not only access the product recommendations, but also the dashboard systems, which contain descriptive analytics, modeled using ontology.The dashboard allows users to have insight into past data.It consists of five main features: (i) Highlight Dashboard, (ii) Customer Dashboard, (iii) Advanced Search, (iv) Pivot Table and Pivot Chart, and (v) Report.Experimental evaluations show that the CB RS can return the accurate recommended product in a real propriety dataset.