从更像这个到比这个更好:来自用户评论的酒店推荐

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization Pub Date : 2016-07-13 DOI:10.1145/2930238.2930276

Ruihai Dong, Barry Smyth

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引用次数: 11

摘要

为了帮助用户发现相关的产品和物品，推荐系统必须了解用户的喜好和厌恶，以及物品的优缺点。在本文中，我们提出了一种新的方法，通过挖掘用户生成的评论来构建丰富的基于特征的用户配置文件和项目描述。我们展示了如何将这些信息集成到推荐系统中，以提供更好的推荐和改进的用户体验。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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From More-Like-This to Better-Than-This: Hotel Recommendations from User Generated Reviews

To help users discover relevant products and items recommender systems must learn about the likes and dislikes of users and the pros and cons of items. In this paper, we present a novel approach to building rich feature-based user profiles and item descriptions by mining user-generated reviews. We show how this information can be integrated into recommender systems to deliver better recommendations and an improved user experience.

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Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization

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