Commodity pushing method and device, server and readable storage medium
A server and commodity technology, which can be used in business, equipment, buying and selling/lease transactions, etc., and can solve problems such as low timeliness
Pending Publication Date: 2020-09-18
创新奇智(成都)科技有限公司
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Problems solved by technology
[0003] The present application provides a commodity push method, device, server and readable storage medium, which can improve the problem of low timeliness in recommending commodities to buyers
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[0045] The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
[0046] Currently, when a buyer purchases a commodity in a physical store, generally speaking, the buyer and the merchant have limited information about each other. For example, before purchasing, the buyer is not sure whether the product that the buyer expects to buy exists in the physical store. Because merchants cannot understand users' purchase preferences, they cannot recommend products suitable for buyers to buyers. At present, merchants can connect with buyers through service personnel in physical stores and recommend products for buyers. However, considering the labor cost of merchants, the number of service personnel is limited. When there are a large number of buyers, the service personnel are usually unable to serve buyers one by one. . That is, currently, the timeliness of recommending ...
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The invention provides a commodity pushing method and device, a server and a readable storage medium, and relates to the technical field of computer data processing. The method comprises the steps that request information sent by a user terminal is received, the request information is information generated when the user terminal scans a specified image, and the request information comprises current buyer information and current seller information; determining a target commodity set corresponding to the current seller information according to the current seller information, and determining a shopping feature vector corresponding to the current buyer information through a big data part and a trained feature processing model, the target commodity set comprising an information set of commodities currently existing in a seller physical store; and determining the commodity corresponding to the shopping feature vector as a pushed commodity from the target commodity set, and pushing the pushedcommodity to the user terminal, so that the problem of low efficiency of recommending the commodity to the purchasing user can be improved.
Description
technical field [0001] The present invention relates to the technical field of computer data processing, in particular, to a commodity push method, device, server and readable storage medium. Background technique [0002] Currently, shopping is divided into online shopping and physical store shopping. With the development of network information technology, online shopping has gradually penetrated into people's daily life and brought convenience to people's shopping. For urgently needed supplies for daily life and office work, users usually still choose to go to physical stores to buy them. During the purchase of goods in a physical store, generally speaking, the seller or the waiter needs to understand the needs of the buyer before recommending goods to the user. If there are too many buyers, it is impossible to recommend products to the buyers in a timely manner. That is, currently, the timeliness of recommending commodities to buyers is low, which affects the shopping o...
Claims
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IPC IPC(8): G06Q30/06
CPCG06Q30/0631
Inventor 周鹏程
Owner 创新奇智(成都)科技有限公司