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.