A simulated annealing-based recommender system for solving the tourist trip design problem

作者：

Highlights：

• Support tourists to have a suitable trip planning with optimal traversed routes.

• Select points of interest based on users preferences and suggest suitable tours.

• Solve the tourist trip design problem using a simulated-based metaheuristic.

• A tourist recommender system is developed by integrating the proposed approach.

• A comparative study with recent state-of-the-art algorithms is carried out.

摘要

•Support tourists to have a suitable trip planning with optimal traversed routes.•Select points of interest based on users preferences and suggest suitable tours.•Solve the tourist trip design problem using a simulated-based metaheuristic.•A tourist recommender system is developed by integrating the proposed approach.•A comparative study with recent state-of-the-art algorithms is carried out.

论文关键词：Tourist trip design problem,Orienteering problem,Recommender system,Simulated annealing,k-means

论文评审过程：Received 18 October 2020, Revised 5 July 2021, Accepted 3 August 2021, Available online 11 August 2021, Version of Record 27 August 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115723