Algorithmic perception is an important breakthrough when comparing with critical algorithmic control research paradigm.It emphasizes that ordinary users perceive,understand,and recognize algorithms through non-professional knowledge in algorithmic context.This subjective perception based on algorithmic context has the potential to guide and influence subsequent feedback of individuals.However,the current re-search on the relationship between algorithm perception and feedback behavior is based on the concept of"instrumental algorithm",which does not dig the deep mechanism of algorithm perception influencing feed-back behavior from the perspective of"situational algorithm".This study attempts to supplement this.Taking the Double Reduction Policy and other contents introduced in 2021 as an example,this study takes the situa-tional algorithm as the analysis framework,the episodic APP prototype as the demonstration scenario to ex-plore the influential mechanism of the algorithm perception on the feedback behavior of users in the episodic APP browsing.Based on empirical analysis,this study puts forward three influential paths,namely,interface layout impact feedback,and the existing cognition of algorithm impact feedback,and the perception of the al-gorithm recommendation impact feedback.In a particular context,the influence of the interface layout is fun-damental.The existing algorithm cognition affect the feedback in different degrees,such as algorithm applica-tion perception,algorithmic APP trust,algorithm interest,the information tolerance of algorithm recommenda-tion,and algorithm ability perception.Individual algorithm perception has a positive impact on feedback in a specific context,and it can even eliminate the influence of interface layout and existing algorithm cognition on feedback.