Personalized itinerary recommendation: Deep and collaborative learning with textual information

作者：

Highlights：

• A deep model for contextual collaborative learning called DCC is proposed.

• A DCC based personalized itinerary recommendation framework is built.

• An ILS based algorithm is presented to recommend personalized itinerary.

摘要

•A deep model for contextual collaborative learning called DCC is proposed.•A DCC based personalized itinerary recommendation framework is built.•An ILS based algorithm is presented to recommend personalized itinerary.

论文关键词：Personalized itinerary recommendation,Textual information,Deep learning,Collaborative learning,Iterated local search

论文评审过程：Received 30 July 2019, Revised 10 October 2019, Accepted 1 November 2019, Available online 7 November 2019, Version of Record 14 November 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113070