Fake Price Detection of Taobao Goods Based on Machine Learning

2022 
In the major e-commerce business platform (such as Taobao, Tmall, etc.), the competition between merchants is becoming more and more intense. Therefore, some merchants are induced to increase the popularity and sales of their stores using unfair competition. Among them, setting false prices is the most common behavior of SKU cheating on Taobao. In order to identify the false price behavior, this paper proposes using machine learning algorithm to detect this kind of false price behavior, the first step is to use technology Taobao creeper crawled in all kinds of goods information data, and then based on commodity prices under the rules of Taobao operation data divided into positive and negative samples, the resulting price information text as raw data, it with random forests after vectorization algorithm for model validation, experiments show that the positive and negative samples of this kind of data sample identification accuracy, recall rate, F1 value reached more than 95%. Compared with other machine learning algorithms, this method has better detection performance.
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