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

机译:基于特征加权非负矩阵分解方法的用户评价住宿推荐系统

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摘要

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,在线信息在人们的决策中占主导地位,尤其是在日常生活以及旅行中。许多网站提供住宿信息和评论。因此,这种信息超载使用户难以选择合适的住宿设施并耗时。我们建议使用ACRoSS,这是一个从网站收集数据并通过针对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评论的系统。该项目的好处是可以帮助用户轻松选择住宿。系统可以将主题分类的精度为61%。在代表性评论中满意度较高的用户比例为55.48%。

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