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Knowledge graph is widely used in the artificial intelligence field such as intelligent search, intelligent recommendation and intelligent question answering. Financial knowledge graph (FKG) can achieve the purpose of intelligent cognition of investment in financial market, to realize efficient mining and intelligent application of financial data. In this paper, FKG is applied in stock investment analysis and intelligent recommendation, and the design idea of multi-dimensional construction of stock finance knowledge graph (SFKG) is proposed in combination with investment behavior. We conduct research on intelligent recommendation algorithms via knowledge abstraction and generalization. A-share market data of China is used for testing and verification, and an intelligent visual system with auxiliary decision-making function is implemented finally.
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