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Commodity recommendation method and commodity recommendation device

A product recommendation and product technology, applied in marketing and other directions, can solve the problems of no longer thinking, wasting network and computer resources, etc., and achieve the effect of improving hit rate and utilization rate

Active Publication Date: 2015-05-06
TENCENT TECH (SHENZHEN) CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although the products recommended by the existing solutions have a certain hit rate, that is, the number of product push information that successfully guides users to generate corresponding shopping behaviors accounts for a certain proportion of the total product push information, but the existing solutions have inherent defects: the existing The solution recommends similar products to the user that the user has already purchased, and the user is likely to no longer consider the recommended product because of the product that the user has already purchased
Therefore, the existing scheme will generate a large amount of invalid push information, wasting network and computer resources

Method used

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  • Commodity recommendation method and commodity recommendation device
  • Commodity recommendation method and commodity recommendation device
  • Commodity recommendation method and commodity recommendation device

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Embodiment Construction

[0048] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0049] figure 1 It is a partial structural block diagram of a device capable of running the product recommendation method of the present application in an embodiment. Such as figure 1 As shown, in one embodiment, the server includes a processor, a storage medium, a memory, and a network interface connected through a system bus. Wherein, the network interface is used for network communication; the storage medium stores an operating system, a database, and software instructions for implementing the commodity recommendation method described in this application, and the database is used to store info...

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Abstract

A commodity recommendation method includes the steps of extracting a user's interested commodity from a commodity database which a user is interested in; obtaining a universality purchase cycle of the interested commodity; extracting historical records of similar commodities, purchased by the user, of the interested commodity according to user's commodity purchase records, and computing latest time when the user purchases the similar commodities according to the historical records; setting recommendation time for the interested commodity according to the universality purchase cycle and the latest time; recommending the interested commodity to the user according to the recommendation time. By the method, hit rate of commodity push information can be increased, and network and computer resource utilization rate can be increased effectively. Additionally, the invention further provides a commodity recommendation device corresponding to the commodity recommendation method, and a method and a device for recommending another commodity in an interested commodity bundle.

Description

technical field [0001] The invention relates to the technical field of network information mining, in particular to a product recommendation method and device. Background technique [0002] With the development of Internet technology and e-commerce technology, online shopping has become more and more popular. In order to guide Internet users' online shopping behavior, e-commerce operators push various commodity information to Internet users through various channels, for example, through various Internet application clients and major popular websites. [0003] Existing product information push schemes generally obtain products that users are interested in by collecting shopping records of Internet users, and recommend similar products to users. [0004] Although the products recommended by the existing solutions have a certain hit rate, that is, the number of product push information that successfully guides users to generate corresponding shopping behaviors accounts for a c...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
Inventor 吴鹏刘淑艳向守兵杨震张蓉陈澄云培研
Owner TENCENT TECH (SHENZHEN) CO LTD
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