论文部分内容阅读
淘宝购物正在改变我们的消费方式。当买家享受淘宝的实惠与便捷时,同时也面临一定的风险:淘宝网上的商品质量良莠不齐,不良卖家会用低价和虚假评价来吸引买家眼球,进而出售伪劣产品。为了买到物美价廉的正品,在购买过程中买家要面临两个问题:一是同一商品的价格在淘宝上差异很大,买家应选择哪个价格范围内的;二是进入卖家店铺后,卖家的成交记录和信用评价是否是真实的。笔者试图借助统计思想方法来解决这两个问题。
Taobao shopping is changing our way of spending. When buyers enjoy the benefits and conveniences of Taobao, they also face certain risks: the quality of goods on Taobao varies greatly. Bad sellers will attract buyers’ attention with cheap and fake reviews, and then sell shoddy products. In order to buy inexpensive genuine, buyers in the purchase process to face two problems: First, the same commodity prices vary greatly on Taobao, the buyer should choose which price range; the second is to enter the seller shop , The seller’s transaction records and credit rating is true. The author attempts to solve these two problems by means of statistical thinking.