具有多准则评分的 OpenTable 数据
OpenTable data with multi-criteria ratings
AI总结：
本文发布从 OpenTable.com 爬取、包含多准则评分的 OpenTable 数据集，为多准则推荐研究提供基准数据。
摘要：
随着推荐系统（RSs）的发展，出现了若干有前景的系统，例如上下文感知 RS、多准则 RS 和群组 RS。多准则推荐系统（MCRSs）旨在通过同时考虑用户在多个属性或准则上的偏好来提供个性化推荐。与通常只关注单一评分的传统 RS 不同，这些系统通过考虑用户在各个维度上的多样化偏好和需求，帮助用户作出更明智的决策。在本文中，我们发布了从 OpenTable.com 爬取的 OpenTable 数据集。该数据集可被视为多准则推荐的基准数据集。
英文摘要：
With the development of recommender systems (RSs), several promising systems have emerged, such as context-aware RS, multi-criteria RS, and group RS. Multi-criteria recommender systems (MCRSs) are designed to provide personalized recommendations by considering user preferences in multiple attributes or criteria simultaneously. Unlike traditional RSs that typically focus on a single rating, these systems help users make more informed decisions by considering their diverse preferences and needs across various dimensions. In this article, we release the OpenTable data set which was crawled from OpenTable.com. The data set can be considered as a benchmark data set for multi-criteria recommendations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
