Research Article

Users’ Rating Predictions Using Collaborating Filtering Based on Users and Items Similarity Measures

Table 3

Comparison of existing work of hybrid-based methods.

Year refer.MethodDatasetResults

2018 [28]Sentiment enhanced recommender modelMovieLensTP rate 0.645
2019 [29]Hybrid neural recommendation modelVideo games gourmet foodRMSE 1.011
Yelp 2013
Yelp 2014
2020 [30]Proposed a monolithic hybrid recommender system named predictorMovieLensPrecision 81%