Survey of semantics-based recommendation algorithms

Semantics-based recommendation technology has recently received a lot of attention in information services community. Compared with traditional recommendation algorithms, semantics-based recommendation algorithms have the marked advantages in the aspects of real-timing, robustness and recommendation quality. From the status and progress of domestic and foreign research, we summarize the following four aspects: semantics-based content recommendation algorithms, semantics-based collaborative filtering recommendation algorithms, semantics-based hybrid recommendation algorithms, and semantics-based social recommendation algorithms. And this paper is expected to provide a worthwhile reference for relevant researchers by detailedly analyzing semantics-based recommendation algorithms. Finally, we show readers the challenges and future research directions in this field.