In view of the weak semantics, high sparsity and cold start problems of user check-in data, many researches have been conducted to improve the performance of point-of-interest recommendation by ...

We introduce a flexible knowledge-guided penalty for incorporating known or expected patterns of activity into tensor decomposition. Our modified tensor decomposition both enables efficient ...