[Retracted] Language Intelligence Development of English Multimedia Teaching considering Collaborative Filtering Topic Search Algorithm

Algorithm 3

Operation process of DTTR model.

	Input: user's regularization coefficient and the regularization coefficient of the recommended item .
	Output: approximation matrix X of matrix R.
①	For each user I;
(i)	Get its subject distribution .
(ii)	Get the potential variance of users , to satisfy the distribution .
(iii)	The eigenvector of the user is obtained , which is .
②	For each text form of the recommended item J;
(i)	The LDA model described in Algorithm 1 is used to obtain the topic distribution .
(ii)	Get the potential variance of the recommended items , to satisfy the distribution .
(iii)	The eigenvectors of the recommended items are obtained , which are .
③	For each score point (I, j), the corresponding predicted score was obtained: