Personalized Recommendation Algorithm for Movie Data Combining Rating Matrix and User Subjective Preference

Table 3

Common mixed recommendation models.

Mixed way	Description
Weighted	The calculation results of multiple recommendation techniques are weighted and mixed to generate recommendations
Switching	The calculation results of multiple recommendation techniques are weighted and mixed to generate recommendations
Cascade	The cascading technology constructs the order of preference between different projects in the iterative refinement process
Combined	At the same time, multiple recommendation techniques are used to give multiple recommendation results to provide users with reference
Feature combination	The features generated by a specific recommendation technique are input to another recommendation technique
Increasing features	The output of the former recommended method is used as the input of the latter recommended method
Meta-level mixing	An internal model generated by one recommendation technique is used as an input for another recommendation technique