分类术语或类别的标准

发布于 2024-08-24 21:36:36 字数 169 浏览 13 评论 0原文

每次构建电子商务应用程序时,我都需要投入大量时间对产品进行分类。歧义、重复和主观性等因素常常会导致返工和浪费时间。

是否有任何可用标准(例如 ISO)可用于对计算机或汽车零部件等产品进行分类?

编辑:我知道客户应该为我对他们的信息进行分类。我只是在寻找资源,让任何人都能更轻松地完成这项任务。

Every time I build an ecommerce application I need to invest a considerable amount of time into categorising products. Factors such as ambiguoty, duplication and subjectivity can often lead to rework and wasted time.

Are there any standards available (such as ISOs) that can be applied to categorising products like computer or car parts for example?

EDIT: I know the client should categorise their information for me. I'm just looking for a resource to make that task easier for anyone.

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葬花如无物 2024-08-31 21:36:36

我认为这取决于行业。有些行业可能有 ISO 标准,其他行业可能没有(很可能没有)。实际上,这取决于客户想要什么。你必须让他们同意一个标准并坚持下去。在最坏的情况下,实际上可能需要改变他们自己的商业模式,如果他们已经经营了几十年,这可能是残酷的。有时,他们甚至可能根据客户是谁以及他们对产品的喜欢程度对产品进行不同的分类(但你不能在公共电子商务网站上这样做)。有时,产品分类可能与他们当天醒来的心情一样主观。您可以提供一个模型供他们使用,但这取决于他们是否坚持该模型。

简而言之,这个过程可能会很痛苦,而且由于每个企业都可以根据企业主的意愿而变化,因此似乎没有太多标准。我注意到的一件事是,精通网络并且已经在网上进行购买的客户非常清楚如何格式化他们的产品数据,而不是那些不熟悉网络的客户。

I would think it depends on the industry. Some industries might have ISO standards, others might not (most probably do NOT). Really, it comes down to what the client wants. You have to get them to agree to a standard and stick to it. In the worst cases, it may actually require a change to their own business model, and that can be brutal if they've been in business for decades. Sometimes they may even classify product differently based on who the customer is and how much they like them (but you can't do that on a PUBLIC e-commerce site). Sometimes product taxonomy may be as subjective as the mood they wake up in that day. You can provide a model for them to work with but it's up to them to stick to it.

In short, this process can be painful, and since every business can vary as much as the business owner wants it to, there doesn't seem to be much standard. The one thing I've noticed is that customers that are web-savvy and already make their own purchases online have a good idea of how to format their product data, versus customers who aren't.

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