Cosmetics datasets 化妆品数据集

每当我想尝试新的化妆品时，都很难选择。实际上，这并不困难。有时会令人恐惧，因为我从未尝试过的新产品最终给我造成了皮肤困扰。我们知道我们需要的信息在每种产品的背面，但是除非您是化学家，否则很难解释这些成分列表。您也许可以解决这种情况。

Whenever I want to try new cosmetic products, I struggle to make a selection. Actually, this is not inherently difficult; yet it can sometimes be intimidating, as new products I have never used before ultimately cause skin irritation. We all know that the critical information we need is located on the back of each product, yet interpreting these ingredient lists is exceptionally challenging unless one is a professional chemist. You may be able to address this predicament.

搜集汇总

背景与挑战

背景概述

该数据集是一个化妆品成分数据集，包含来自丝芙兰的1472种化妆品的成分清单、排名、价格和对皮肤的影响信息。数据集旨在通过机器学习方法（如t-SNE和Bokeh）分析成分相似性，用于构建基于内容的化妆品推荐系统，帮助用户解决选择化妆品时的困难。数据以CSV格式提供，文件大小为1.10MB。