I could not find any info or scientific paper about recommended data density for person similarity and matrix factorisation. I want to use them in my university project. Any hint with source would be helpful!
Hello! I think this paper might help. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.423.4007&rep=rep1&type=pdf
In their testing they required a data density of at least 6%. Data density was the most important variable in their model of recommendation accuracy. With sparse data, matrix factorization performed better than collaborative filtering based on Pearson similarity.