HIN-VMReSys: Heterogeneous Information Network based Vehicle Music Recommendation System

In this era of Internet of everything, the Internet of things (IoT) has brought people too much convenience. Among them, the Internet of vehicles (IoV), a network containing a large number of vehicle-related information, contains tremendous value, but there are many hidden dangers in driving. It is extremely difficult to drive safely and comfortably. To address this, in this paper, a novel Heterogeneous Information Network based Vehicle Music Recommendation System (HIN-VMReSys) is proposed, which is more accurate, safer and intelligent, based on the combination of IoV and Heterogeneous Song Information Network (song HIN). Due to its excellent perception of the surrounding environment and driver preferences, this method enables the drivers to obtain more suitable music with fewer operations, thus avoiding distraction and relaxing themselves to achieve better driving performance. Finally, a series of experiments prove the advantages of our model in the accuracy of recommendation, low load of IoV and operation complexity.