How does the labeling system work? It is based on large-data analysis, covering multiple dimensions such as commodity attributes, user behaviour, etc., and optimized recommendations through algorithms aimed at enhancing user experience. Knowing this makes you more aggressive in the electrician world
Hey, guys, is it a mystery to come here today to talk about the secret of the labeling system
You know what? It's not easy to get a product label, but it's backed by a complex and sophisticated system
First, we want to know that the label system is based primarily on big data analysis. Imagine that there are tens of thousands of commodities in the treasure hunt, each with its own characteristics and outlets. In order to better understand and classify these commodities, treasure hunting collects a great deal of data, including, but not limited to, titles, descriptions, pictures, prices, sales, etc。
The data then allow for detailed labelling of commodities. For example, if you sell a dress in women's clothes, the system may label your goods as “women's clothes”, “dresss”, “fashion”, “recreation”. As a result, when the user is searching or browsing, the system will be able to identify the goods of interest to the user precisely on the basis of these labels and provide individualized recommendations。
Of course, this is only the first step. In order to make the labelling system more accurate and effective, treasure-hunting will further optimize and adjust the labels, taking into account the user's history of browsing, purchasing records, evaluating feedback, etc. By way of example, if it is found that a user often buys sneakers, then the system considers that he/she may be more interested in sport-related products, thereby giving priority to their presentation in recommendations. Zenium
In addition to this, treasure hunting uses advanced machine algorithms to learn and adapt to market changes and to keep the labelling system up to date. It's like putting an intelligent brain in the system, enabling it to learn and improve autonomously, providing users with increasingly sophisticated services。
So when you're shopping on a treasure hunt and you see these sweet recommendations, it's actually the result of the silent work of the label. Think you're really smart
If you learn how the label system works, you might want to pay more attention when you go shopping
