Recommendations in Travel

O. Zoeter
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引用次数: 4

Abstract

Recommender systems have received much attention in recent years, and they have been successfully applied in many different domains. With each domain come new constraints that require system designers to make choices about how to apply and extend generic algorithms in their context. Booking.com is planet earth's number one accommodation reservation site. The accommodation recommendation problem that it needs to solve has several interesting and unique challenges that make that a straightforward matrix factorization or a basic bi-linear model are not sufficient to provide the required predictions. In this talk, we will discuss several of the challenges we have encountered and solutions we have developed.
旅游建议
近年来,推荐系统受到了广泛的关注,并成功地应用于许多不同的领域。每个领域都有新的约束,要求系统设计者选择如何在其上下文中应用和扩展通用算法。Booking.com是全球排名第一的住宿预订网站。它需要解决的住宿推荐问题有几个有趣且独特的挑战,这些挑战使得直接的矩阵分解或基本的双线性模型不足以提供所需的预测。在这次演讲中,我们将讨论我们遇到的一些挑战和我们开发的解决方案。
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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