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Accommodation recommendation system from user reviews based on feature-based weighted non-negative matrix factorization method

机译:根据基于特征的加权非负矩阵分解方法,从用户评论提供住宿推荐系统

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Nowadays, online information dominates people decision making, especially in a daily life basis, as well as traveling. Many websites provide accommodation information and reviews. Hence, this information overload makes choosing the right accommodation difficult and time-consuming for users. We propose ACRoSS, a system that collects data from websites and chooses representative reviews by feature-based weighted non-negative matrix factorization method regarding predetermined topics. The benefit of this project is to help users to choose an accommodation easily. The system can classify the topic with the precision of 61%. The percentages of users that have high satisfaction in representative reviews are 55.48%.
机译:如今,在线信息主导人们的决策,特别是在日常生活中,以及旅行。许多网站提供住宿信息和评论。因此,此信息过载使用户选择正确和耗时的用户。我们提出了一个系统,该系统收集来自网站的数据,并通过关于预定主题的基于特征的加权非负矩阵分解方法选择代表性综述。该项目的好处是帮助用户轻松选择住宿。系统可以将主题分类为61%的精度。代表评论中满意度高满意度的百分比为55.48%。

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