A Low-Rank Tensor Factorization Using Implicit Similarity in Trust Relationships
A Low-Rank Tensor Factorization Using Implicit Similarity in Trust Relationships
Low-rank tensor factorization can not only mine the implicit relationships between data but also fill in the missing data when working with complex data. Compared with the traditional collaborative filtering (CF) algorithm, the changes are essentially proposed, from traditional matrix analysis to three-dimensional spatial analysis. Based on low-rank tensor factorization, …