APriori: A Ubiquitous Product Rating System

In this paper, we propose a ubiquitous product rating system. First we provide an overview of state-of-the-art product recommendation, concluding that current approaches do not support in-store consumers; i.e. consumers on the shop floor. Within shops however is where three out of four buying decisions are made. Hence we propose APriori, a new approach towards mobile product recommendation. APriori makes product recommendation available for mobile users. These utilize their phones to identify tagged (barcode/RFID) consumer products. Based on the identification of products, the mobile device communicates with a backend product recommendation system. As a new rating concept we propose the use of user-generated rating criteria. Accordingly, we describe the APriori prototype implementation and first user experiences. We conclude with discussions about future research directions.