A Survey of Long-Tail Item Recommendation Methods

Table 5

The summary on multiobjective optimization-based long-tail item recommendation methods.

Ref.	Datasets	Main evaluation metrics	Objective function
[19]	Amazon [58]; Red dataset [59]	Recall, AP, MAE, NDCG	C-HMF, S-HMF
[26]	MovieLens	Precision, coverage, Gini coefficient	5D-score
[31]	MovieLens, Jester, Netflix	Precision, diversity, novelty	Accuracy, nonpopular items metric (novelty)
[32]	MovieLens, Netflix	Precision, recall, coverage, MAE	MAE, coverage
[33]	MovieLens, Netflix	Precision, RMSE, personalized diversity metric, novelty	Diversity, long-tailed distribution, accuracy