Spatial data mining: a perspective of big data

In this paper, we propose a global and local tensor factorization (GLTF) to solve the multi-criteria recommendation problem. It leverages additional criterion-specific ratings in addition to existing user-item rating data for better recommendation. Moreover, it can jointly learn a global predictive model and multiple local predictive models, not only can discover the overall structure of the entire rating tensor, but also capture diverse rating behaviors of users in individual sub-tensors...The