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Commodity recommendation method and device, equipment and storage medium

A product recommendation and product technology, applied in the field of data processing, can solve problems such as unfavorable merchants, easy to miss peak season information, and seize sales opportunities

Active Publication Date: 2018-11-13
SHENZHEN LEXIN SOFTWARE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a commodity recommendation method, device, equipment and storage medium, which solves the technical problem that the prior art tends to omit the peak season information of some commodities, which is not conducive to the merchants to seize the sales opportunity

Method used

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  • Commodity recommendation method and device, equipment and storage medium
  • Commodity recommendation method and device, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] figure 1 It is a flow chart of the product recommendation method provided in Embodiment 1 of the present invention. The technical solution of this embodiment is applicable to the situation of recommending commodities with a clear time period to the user. The method can be executed by the product recommendation device provided in the embodiment of the present invention, and the device can be implemented in the form of software and / or hardware, and configured to be applied in a processor. The method specifically includes the following steps:

[0050] S101. Obtain the product search terms of the e-commerce company within the first preset time period and the second preset time period, and the search volume of each product search term, wherein the first preset time period is shorter than the second preset time period period, and both the first preset time period and the second preset time period end on the same day.

[0051] To realize the accurate recommendation of produ...

Embodiment 2

[0065] figure 2 It is a flow chart of the commodity recommendation method provided by Embodiment 2 of the present invention. The embodiment of the present invention optimizes the recommendation of the target commodity corresponding to the target keyword on the basis of the foregoing embodiments.

[0066] Correspondingly, the method of this embodiment includes:

[0067] S101. Obtain the product search terms of the e-commerce company within the first preset time period and the second preset time period, and the search volume of each product search term, wherein the first preset time period is shorter than the second preset time period period, and both the first preset time period and the second preset time period end on the same day.

[0068] S102. Determine the target search term according to the search volume of the product search term within the second preset time period.

[0069] S103. Determine the search ratio of the search volume of each target search word within the ...

Embodiment 3

[0085] image 3 It is a structural block diagram of the product recommendation device provided in Embodiment 3 of the present invention. The device is used to implement the commodity recommendation method provided by any of the above embodiments, and the device can be implemented by software or hardware. The unit includes:

[0086] An information acquisition module 11, configured to acquire product search terms of an e-commerce company within a first preset time period and a second preset time period, and the search volume of each of the product search terms, wherein the first preset The time period is shorter than the second preset time period, and both the first preset time period and the second preset time period end on the same day;

[0087] A target search term determining module 12, configured to determine the target search term according to the search volume of the commodity search term within the second preset time period;

[0088] A search ratio determination modul...

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Abstract

The embodiment of the invention discloses a commodity recommendation method and device, equipment and a storage medium. The method includes: obtaining commodity search words of e-commerce in a first preset time period and a second preset time period and search quantity of each commodity search word; determining target search words according to search quantity of commodity search words in the second preset time period; determining a search ratio value of search quantity of each target search word in the first preset time period and the second preset time period; using target search words, whichcorrespond to a preset target number of search ratios with top ranks, as target keywords according to a descending order; and recommending target commodities corresponding to the target keywords. Thetechnical problems that the prior art is liable to miss peak-season information of certain commodities, and does not facilitate preemption of merchants on decisive sales occasions are solved, and thetechnical effect of timely and accurately recommending cyclical commodities to a user is achieved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of data processing, and in particular, to a product recommendation method, device, equipment, and storage medium. Background technique [0002] Some products have very obvious time cycle characteristics, such as Dragon Boat Festival dumplings and Mid-Autumn moon cakes. There are also some products whose peak season is not specific. For example, when Apple's latest mobile phone will go on sale, it is generally not known too much in advance. But these items will indeed sell hot sometime in the future. [0003] In order to deal with the aforementioned scenarios, the existing technology usually formulates recommendation schemes manually: for example, when the Dragon Boat Festival is coming, recommend related products such as zongzi to target users in advance. However, manual operation sometimes misses the peak season information of certain commodities, which is not conducive to businesses...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02
CPCG06Q30/0254G06Q30/0277
Inventor 吴志坚
Owner SHENZHEN LEXIN SOFTWARE TECH CO LTD
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