Research on Intelligent English Education Based on the Short Video Recommendation Algorithm

Algorithm 1

	Input: Input the dataset of the target video user Ua and the video Ij to be scored.
	Output: Perform K adjacent videos calculation based on user behavior recommendation algorithm for unknown scored videos.
	Step 1: Conduct a series of correlation analyses on the relevant behaviors of users (some behavior data about watching videos obtained from users are converted into user scoring.)
	Step 2: Calculate the similarity of users according to the scoring matrix and save it as Arr_User Sim (s × t).
	Step 3: Use the log ictic function to weight the time.
	Step 4: Calculate the validity of time.
	Step 5: Select the appropriate value of K.
	Step 6: Calculate K videos of unknown scoring after calculation based on the user behavior analysis algorithm.