2020 MCM Problem C Translation，，2020美赛美赛C题题——详细详细
版翻译版翻译
文章目录文章目录2020 MCM Problem C 详细翻译Requirements 要求Glossary 词汇表Attachments 附件：问题数据集
2020 MCM Problem C 详细翻译详细翻译
2020 MCM Weekend 2 Problem C: A Wealth of Data
2020年MCM周末2问题C：数据的财富
In the online marketplace it created, Amazon provides customers with an opportunity to rate and review purchases.
Individual ratings – called “star ratings” – allow purchasers to express their level of satisfaction with a product using a scale
of 1 (low rated, low satisfaction) to 5 (highly rated, high satisfaction). Additionally, customers can submit text-based
messages – called “reviews” – that express further opinions and information about the product. Other customers can submit
ratings on these reviews as being helpful or not – called a “helpfulness rating” – towards assisting their own product
purchasing decision. Companies use these data to gain insights into the markets in which they participate, the timing of that
participation, and the potential success of product design feature choices.
在其创建的在线市场中，亚马逊为客户提供了对购买进行评分和评价的机会。个人评级个人评级-称为称为“星级星级”-使购买者可以使用1（低
评级，低满意度）到5（高评级，高满意度）的等级来表示他们对产品的满意度。此外，客户可以提交基于文本的消息（称客户可以提交基于文本的消息（称
为为“评论评论”）），以表达有关产品的更多意见和信息。其他客户可以在这些评论中提交有帮助或无帮助的评分（称为“帮助评
分”），以协助他们自己的产品购买决策。公司使用这些数据来深入了解其参与的市场，参与的时间以及产品设计功能选择的
潜在成功。
Sunshine Company is planning to introduce and sell three new products in the online marketplace: a microwave oven, a
baby pacifier, and a hair dryer. They have hired your team as consultants to identify key patterns, relationships, measures,
and parameters in past customersupplied ratings and reviews associated with other competing products to 1) inform their
online sales strategy and 2) identify potentially important design features that would enhance product desirability. Sunshine
Company has used data to inform sales strategies in the past, but they have not previously used this particular combination
and type of data. Of particular interest to Sunshine Company are time-based patterns in these data, and whether they
interact in ways that will help the company craft successful products.
阳光公司计划在在线市场上推出和销售三种新产品：微波炉，婴儿奶嘴和吹风机微波炉，婴儿奶嘴和吹风机.他们已聘请您的团队作为顾问，以识别过去
客户提供的与其他竞争产品相关的评分和评论的关键模式，关系，度量和参数，以：1）告知其在线销售策略；）告知其在线销售策略； 2）确定潜在）确定潜在
的重要设计特征，以提高产品的吸引力的重要设计特征，以提高产品的吸引力。Sunshine Company过去曾使用数据为销售策略提供信息，但他们以前从未使用过这
种特殊的组合和数据类型。Sunshine Company特别感兴趣的是这些数据中的基于时间的模式，以及它们是否以有助于该公司
制造成功产品的方式进行交互。
To assist you, Sunshine’s data center has provided you with three data files for this project: hair_dryer.tsv, microwave.tsv,
and pacifier.tsv. These data represent customer-supplied ratings and reviews for microwave ovens, baby pacifiers, and hair
dryers sold in the Amazon marketplace over the time period(s) indicated in the data. A glossary of data label definitions is
provided as well. THE DATA FILES PROVIDED CONTAIN THE ONLY DATA YOU SHOULD USE FOR THIS PROBLEM.
为了帮助您，Sunshine的数据中心为您提供了该项目的三个数据文件：hair_dryer.tsv，microwave.tsv和pacifier.tsv。这些数
据代表在数据指示的时间段内在Amazon市场上出售的微波炉，婴儿奶嘴和吹风机的客户提供的评分和评论。还提供了数据标
签定义的词汇表。提供的数据文件包含您应用于此问题的唯一数据。提供的数据文件包含您应用于此问题的唯一数据。
Requirements 要求要求
Analyze the three product data sets provided to identify, describe, and support with mathematical evidence, meaningful
quantitative and/or qualitative patterns, relationships, measures, and parameters within and between star ratings, reviews,
and helpfulness ratings that will help Sunshine Company succeed in their three new online marketplace product offerings.
1.分析提供的三个产品数据集，以使用数学证据来识别，描述和支持有意义的定量和分析提供的三个产品数据集，以使用数学证据来识别，描述和支持有意义的定量和/或定性模式，关系，量度和参数，这些或定性模式，关系，量度和参数，这些
数据将在有助于评估阳光公司的星级，评论和帮助等级之内和之间在三个新的在线市场产品中都取得了成功。数据将在有助于评估阳光公司的星级，评论和帮助等级之内和之间在三个新的在线市场产品中都取得了成功。
Use your analysis to address the following specific questions and requests from the Sunshine Company Marketing Director:
2.使用您的分析解决阳光公司市场总监的以下特定问题和要求：使用您的分析解决阳光公司市场总监的以下特定问题和要求：
a. Identify data measures based on ratings and reviews that are most informative for Sunshine Company to track, once their
three products are placed on sale in the online marketplace.
a. 一旦三种产品在在线市场上出售后，根据评级和评论来识别数据度量，这对于一旦三种产品在在线市场上出售后，根据评级和评论来识别数据度量，这对于Sunshine Company最为有用。最为有用。
b. Identify and discuss time-based measures and patterns within each data set that might suggest that a product’s reputation
is increasing or decreasing in the online marketplace.
b. 在每个数据集中识别并讨论基于时间的度量和模式，这些度量和模式可能表明产品在在线市场中的声誉在上升或下降。在每个数据集中识别并讨论基于时间的度量和模式，这些度量和模式可能表明产品在在线市场中的声誉在上升或下降。
c. Determine combinations of text-based measure(s) and ratings-based measures that best indicate a potentially successful
or failing product.
c. 确定最能表明潜在成功或失败产品的基于文本的度量和基于评级的度量的组合。确定最能表明潜在成功或失败产品的基于文本的度量和基于评级的度量的组合。
d. Do specific star ratings incite more reviews? For example, are customers more likely to write some type of review after
seeing a series of low star ratings?
d. 特定的星级评级是否会引发更多的评论特定的星级评级是否会引发更多的评论?例如，在看到一系列的低星级评价后，客户更有可能写一些评论吗例如，在看到一系列的低星级评价后，客户更有可能写一些评论吗?
e. Are specific quality descriptors of text-based reviews such as ‘enthusiastic’,‘disappointed’, and others, strongly associated
with rating levels?
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