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Commodity recommending method, recommending system and computer device

A product recommendation and computer program technology, applied in the Internet field, can solve problems such as poor user shopping experience, inaccuracy, and lack of users.

Pending Publication Date: 2019-01-15
SHENZHEN SPRINGWOODS HLDG CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The problem with the above-mentioned online shopping malls is that the recommendation is based solely on the user’s online consumption records, without the consumption information of the user in the physical store, because the scope of pushing products to the user is small and not accurate enough; while the push method of the offline physical store is promotion Information is not pushed according to each user's shopping preferences, resulting in poor shopping experience for users

Method used

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  • Commodity recommending method, recommending system and computer device
  • Commodity recommending method, recommending system and computer device
  • Commodity recommending method, recommending system and computer device

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Embodiment Construction

[0034] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0035] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described here. Therefore, the protection scope of the present invention is not limited by the specific details disclosed below. EXAMPLE LIMITATIONS.

[0036] Refer below Figure 1 to Figure 4 Describe the commodity recommendation method and commodity recommendation system according to some embodiments of the present invention.

[0037] figure 1 ...

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Abstract

The invention provides a commodity recommendation method, a commodity recommendation system, a computer device and a computer-readable storage medium. Determining the shopping preference information of the user according to the historical consumption information; obtaining the current location information of the user; obtaining current commodity information corresponding to the current position information according to the current position information; according to the shopping preference information and the current commodity information, the target commodity information is recommended. The commodity recommendation method provided by the invention recommends the commodity to the user through the shopping preference information of the user and the current position information of the user, thereby expanding the range of accurately pushing the commodity to the user, and solving the problem of accurately pushing the commodity only through the purchase information of the online shopping mall of the user.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular, to a commodity recommendation method, a commodity recommendation system, a computer device, and a computer-readable storage medium. Background technique [0002] At present, in related technologies, it is generally recommended to the user when the user enters the mall next time according to the consumption habit of the user in the online mall. Most offline physical stores send activity information to registered users when there are promotional activities. The problem with the above-mentioned online shopping malls is that the recommendation is based solely on the user’s online consumption records, without the consumption information of the user in the physical store, because the scope of pushing products to the user is small and not accurate enough; while the push method of the offline physical store is promotion. Information is not pushed according to each user's shop...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06F16/9535G06F16/9537
CPCG06Q30/0631
Inventor 兰天
Owner SHENZHEN SPRINGWOODS HLDG CO LTD
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