基于动态转移图的时间敏感的旅游路线推荐方法

Time-sensitive Travel Route Recommendation Method Based on Dynamic Transfer Graph

提出了基于动态转移图的时间敏感的旅游路线推荐方法,构建一种基于层次聚类的动态转移图的模式方法,设计了流行序列异常的去除方法,建立稳定的模式规律.模式规律为用户准确地推荐适合其出行时间的最佳旅游线路.通过真实数据的实验验证,与现有工作相比,用户的收益提高了10%以上,验证了提出方法的有效性.

The time-sensitive travel route recommendation methods were put forward based on dynamic transfer graph. A pattern-building method of dynamic transfer graphs was proposed based on hierarchy clustering and designs methods to remove outliers with popularity sequence to construct stable pattern rules. The use of pattern rules could accurately recommend the best travel routes that were most suitable for travel time for the user. With the verification of the real data,the profit of users increased by more than 10% compared with the existing work,which indicated the effectiveness of this method.