论文标题
BEER2VEC：从评论中提取口味的口味推荐。
Beer2Vec : Extracting Flavors from Reviews for Thirst-Quenching Recommandations
论文作者
论文摘要
本文介绍了BEER2VEC型号，该模型允许将世界上最受欢迎的酒精饮料编码成具有美味建议的向量。我们使用专注于精酿啤酒的独特数据集介绍算法。我们彻底解释了如何编码风味，从经验的角度来看，啤酒向量将产生有意义的建议。我们还提出了三种不同的方法来在现实世界中使用Beer2Vec来启发精酿啤酒消费者。最后，我们通过Web应用程序使每个人都可以使用模型和功能。
This paper introduces the Beer2Vec model that allows the most popular alcoholic beverage in the world to be encoded into vectors enabling flavorful recommendations. We present our algorithm using a unique dataset focused on the analysis of craft beers. We thoroughly explain how we encode the flavors and how useful, from an empirical point of view, the beer vectors are to generate meaningful recommendations. We also present three different ways to use Beer2Vec in a real-world environment to enlighten the pool of craft beer consumers. Finally, we make our model and functionalities available to everybody through a web application.
