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Which recommender algorithm to choose SlapOne or SVD?
Hello, I have a rating system for articles, you can like dislike and as implicit ratings, read and flip to another article. I read a lot of theory and faced the choice of the main SVD algorithm on this topic, there is a lot of information and information about accuracy or SlapeOne, there is OpenSlapeOne, they write that it is easy to implement and shows a high result
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If "a lot of theory" and "a lot of information" did not help you decide on the choice of algorithm, use random - it won't get any worse.
The dataset is usually divided into three parts, the models are trained in two, and the trained models are compared in the third. There you will see what is better.
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