Product recommendations

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e-commerce products are very rich, and can generally be divided into three to four levels. The classification of real estate is generally based on first-level attributes, and the attribute classification is simple. ) Commodity logistics E-commerce products are generally movable products and require logistics management. Real estate is a scenario where logistics does not exist for real estate. ) E-commerce products: You can recommend products that users of the same type like based on their purchasing behavior and user portraits.


Since the value of the product is small and the product itself Afghanistan WhatsApp Number represents part of the value orientation, you can recommend other products. And because the data is more complete, big data can play a better role. Real estate products: Users’ requirements for the property’s surrounding environment, school district conditions, community environment, future appreciation space, regional interface and other issues directly determine whether they will purchase the property. However, this information cannot be standardized, so it is difficult to use big data.





recommend real estate, you still need to rely more on the professional services of a broker. Recommended further reading is " The Mystery of User Portraits: Revealing Different Truths from the Thought of 'Like' " ) Product evaluation An important function of product evaluation is to allow users to write down their feelings about products, services, logistics and other related information after purchase, so as to provide purchasing decisions for other users and reduce