A sequence-based and context modelling framework for recommendation

作者：

Highlights：

• A semantic model of user activities as a timeline of activity objects.

• A generic activity recommendation framework for multiple recommendation scenarios.

• Recommending the next activity, the next sequence, & context for the next activity.

• Recommendation-based and context-aware post-filtering.

• Experiments on the lifelogging, urban computing and tourism (LBSN) domains.

摘要

•A semantic model of user activities as a timeline of activity objects.•A generic activity recommendation framework for multiple recommendation scenarios.•Recommending the next activity, the next sequence, & context for the next activity.•Recommendation-based and context-aware post-filtering.•Experiments on the lifelogging, urban computing and tourism (LBSN) domains.

论文关键词：Recommender systems,Activity recommendation,Sequence aware recommendation

论文评审过程：Received 31 July 2020, Revised 27 November 2020, Accepted 26 January 2021, Available online 11 February 2021, Version of Record 12 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114665