基于隐含用户兴趣的目标相似 (Destination similarity based on implicit user interest)

With the digitization of travel industry, it is more and more important to understand users from their online behaviors. However, online travel industry data are more challenging to analyze due to extra sparseness, dispersed user history actions, fast change of user interest and lack of direct or indirect feedbacks. In this work, a new similarity method is proposed to measure the destination similarity in terms of implicit user interest. By comparing the proposed method to several other widely used similarity measures in recommender systems, the proposed method achieves a significant improvement on travel data. Key words: Destination similarity, Travel industry, Recommender System, Implicit user interest

翻译：随着旅行业的数字化,越来越重要的是要了解用户的在线行为。然而,在线旅行业数据由于异常稀少、用户历史行动分散、用户兴趣迅速变化以及缺乏直接或间接反馈,分析起来更具有挑战性。在这项工作中,提出了一种新的类似方法,以衡量在隐含用户兴趣方面目的地的相似性。通过将拟议方法与推荐人系统中其他广泛使用的其他相似性措施进行比较,拟议方法大大改进了旅行数据。关键词:目的地相似性、旅行业、建议系统、隐含用户兴趣。