Your neighbors alleviate cold-start: On geographical neighborhood influence to collaborative web service QoS prediction

作者：

Highlights：

• We observe a positive relation between geographical region and QoS rating.

• We design a bottom-to-up clustering algorithm for geographical neighbors’ selection.

• We propose an integrated matrix factorization model via transferring neighborhood wisdom.

• Our method is verified in both in warm-start and cold-start situations.

摘要

•We observe a positive relation between geographical region and QoS rating.•We design a bottom-to-up clustering algorithm for geographical neighbors’ selection.•We propose an integrated matrix factorization model via transferring neighborhood wisdom.•Our method is verified in both in warm-start and cold-start situations.

论文关键词：Web service,QoS prediction,Geographical neighborhood,Cold-start,68M14,68N30,68Q85,68U35

论文评审过程：Received 12 March 2017, Revised 15 July 2017, Accepted 1 October 2017, Available online 3 October 2017, Version of Record 13 November 2017.

论文官网地址：https://doi.org/10.1016/j.knosys.2017.10.001