Research on Object Information Retrieval and Recommendation Based on GS1 Standard
Liuqing Duan, Zhijun Wang, Yaoqing Duan, Qianqian Du · 2018
In the supply chain system, using the GS1 standard as key technology in applications have been widely popularized. Through the Internet of Things technology, very large physical object information is stored in the database of the supply chain system. However, two main problems still exist in current systems. First, the data can almost be seen internally by the supplier, the consumer cannot query the object information they need, including the introduction of the object and related logistics information. Second, almost no one studies the object recommendation based on the GS1 standard. To solve the problems, we propose two solutions. 1) Build an open system that can help consumers to query object information. 2) Define extended data model based on EPCIS for object in order to have key content to be used for the recommendation. So we mainly study the object information retrieval and recommendation based on GS1 standard to build a system that can help consumers to query object information, and recommend similar objects according to the query record or the products user may feel interested in.