Browsing behavior modeling and browsing interest extraction in the trajectories on web map service platforms

作者：

Highlights：

• The WMSP trajectory of micro process of the browsing behavior is defined.

• Dimensionality reduction achieves the simplification of the WMSP trajectory.

• A novel HGMM model is proposed to model spatial structure of the WMSP trajectory.

• Using RF to filter fake browsing interest based on the spatial attributes.

摘要

•The WMSP trajectory of micro process of the browsing behavior is defined.•Dimensionality reduction achieves the simplification of the WMSP trajectory.•A novel HGMM model is proposed to model spatial structure of the WMSP trajectory.•Using RF to filter fake browsing interest based on the spatial attributes.

论文关键词：hierarchical Gaussian mixture model,Multi-granularity,Browsing interest,Random forest model,Trajectories on web map service platform

论文评审过程：Received 25 March 2021, Revised 19 November 2021, Accepted 18 January 2022, Available online 29 January 2022, Version of Record 7 February 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116590