Research Article

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

Table 9

Evaluation criteria table.

MetricsFormula

AccuracyThe accuracy measurement standard refers to the ratio of the number of hit movies to the number of recommended movies. The larger the index value, the more accurate the recommendation result.

Recall rateThe recall rate standard refers to the ratio of the number of hit movies to the theoretical maximum number of hits. The larger the index value, the more accurate the recommendation result.

F1 measurementThe F1 measurement index can effectively balance the accuracy rate and the recall rate by favoring the smaller value. The larger the index value, the more accurate the recommendation result.