A Mathematical Approach for Edge-Based Consumer Behavior for Appliance Discount Recommendation

Abstract

With the peak use of cloud & data storage these days, dealing with it becomes more critical with respect to user’s privacy norms. Many organizations across the globe are working closely to secure the User-Data through numerous algorithms and increasing user-experience with respect to their buying behavior on their applications & websites. With the aspect to consumer behavior, sharing of data usage for better experience becomes normal these days.In this research study, authors are bringing up numerous opportunities to share an infrastructure with algorithmic view for recommendation and predicting discounts on one’s services & products for flexible user-experience. The proposed infrastructure functioning brings up two views of understanding i.e., mathematical model for recommendation along with prediction of discounts as Software View and Edge-Based approach for real-time data processing from internal home product usage behavior as Network View. The proposed model expressed the importance of implication in Industry 4.0 Applications.This research study is divided among sections including Introduction, Research Survey, Methodology (Software & Network View), Results & Conclusions, Pros & Cons, Future Aspects and References.