Predicting time and location of future crimes with recommendation methods

作者：

Highlights：

• Crime prediction can be formulated as a recommendation problem.

• Recommendation methods mitigate the sparsity problem in crime prediction.

• Biased matrix factorization is designed to incorporate social context.

• CBMF outperforms state-of-the-art recommendation and non-recommendation methods.

摘要

•Crime prediction can be formulated as a recommendation problem.•Recommendation methods mitigate the sparsity problem in crime prediction.•Biased matrix factorization is designed to incorporate social context.•CBMF outperforms state-of-the-art recommendation and non-recommendation methods.

论文关键词：Crime prediction,Recommendation system,Social media

论文评审过程：Received 25 February 2020, Revised 28 September 2020, Accepted 1 October 2020, Available online 5 October 2020, Version of Record 8 October 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106503