手机旅游推荐系统,让用户更好的选择旅游

None Mostafa. M.khater
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引用次数: 0

摘要

该系统可能会包括一个逐路的路线高亮显示,以防止用户是否选择了这条路线。需要更大的客户概况和更多的参与者来获得更有洞察力的客户反馈。我们的检查被设计成一个实验室实验,直接收集原始数据。在取笑其他客户和他们的系统评论的同时,我们研究了一些初始的客观混合。在现实世界中使用我们建议的模型与实际客户进行实地调查是至关重要的(例如在寻找在线课程以在家工作时)。这将有助于我们更好地了解我们的方法的有效性。在本文中,我们开发了一种创造性的方法来推荐多式联运旅行路线。在一项有20名参与者的客户调查中,我们评估了我们的杂交计算的适用性及其可用性。结果表明,CF、基于信息和受人喜爱的课程概念比前沿课程组织者所提出的更成功。多亏了Google导游编程接口,我们的应用程序可以提供七种不同的可选旅行选项。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobile Tourism Recommender System for Users to Get a Better Choice of Tour
The system might include a turn-by-turn route highlight to prevent fake preferences that check if the user has taken the course. A larger customer overview with more participants is required to acquire more insightful client feedback. Our ex-amination was designed as a lab experiment to gather initial data straight absent. While making fun of other clients and their system comments, we looked at a few initial objective mixtures. Doing field research with actual clients using our suggested model in real-world situations (such as when looking for a course online to work from home) is crucial. This will help us better understand how effective our approach is. In this article, we developed a creative method for recommending multimodal travel routes. In a client survey with 20 participants, we evaluated the applicability of our cross-breed computation and its usability. The results show that CF, in-formation-based, and well-liked course concepts complement one more successfully than cutting-edge course organizer advances. Thanks to the Google Guides Programming interface, our application can give seven different elective trip options.
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