基于评论的酒店推荐系统:你重视什么?

Koji Takuma, Junya Yamamoto, S. Kamei, S. Fujita
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引用次数: 19

摘要

在查找酒店时,通常会访问匹配查询的酒店列表,该列表按照平均评估值的降序排列。由于这样的列表并不能反映用户的偏好,所以对于很多没有经验的用户来说,决定一家酒店的时间太长了。在本文中,我们关注的是那些偏好与用户偏好相似的贡献者给出的评价值。这样的评价值对于用户来说可能具有更高的可信度。我们提出了一种从评论集合中提取评论贡献者偏好的方法。所提取的偏好被用于酒店推荐,这样由具有与用户相似偏好的贡献者给出的评价值被赋予更大的权重。基于问卷的评价结果表明,我们提出的方法可以推荐符合用户偏好的酒店。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Hotel Recommendation System Based on Reviews: What Do You Attach Importance To?
In looking for a hotel, it is common to access a list of hotels matching a query which is arranged in a descending order of the average evaluation value. Since such a list does not reflect the preference of users, for many inexperienced users, it takes too long to determine a hotel. In this paper, we focus on the evaluation values given by contributors whose preferences are similar to the user's preference. Such evaluation values may be more highly credible for the user. We proposes a method to extract the preference of review contributors from a collection of reviews. The extracted preferences are used for the hotel recommendation in such a way that the evaluation value given by a contributor to have preference similar to the user is given larger weight. The result of questionnaire-based evaluations indicates that our proposed method can recommend hotels that matches the user preference.
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