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Accessory recommending system and method

A recommendation system and recommendation method technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as inability to produce electronic product accessories recommendation results, recommendation results defects, etc., to overcome the cold start problem and improve Shopping experience, save the effect of searching

Inactive Publication Date: 2012-09-12
纽海信息技术(上海)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the fact that the traditional algorithm in the prior art cannot produce effective recommendation results of electronic product accessories when users purchase electronic products and may bring users useless recommendation results of other types of commodities Defects, providing an accessory recommendation system capable of recommending electronic product accessories for users when viewing and purchasing electronic products, and an accessory recommendation method implemented by using the accessory recommendation system

Method used

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  • Accessory recommending system and method

Examples

Experimental program
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no. 1 example

[0030] Such as figure 1 As shown, the accessory recommendation system of this embodiment includes a database 1 , a matching module 2 , and an accessory recommendation module 3 .

[0031] The present invention can recommend electronic product accessories that match the electronic product for the user when the user checks and purchases the electronic product online. Therefore, for multiple electronic products in the online store, the database 1 will model them, and the database 1 will establish A list of electronic products with multiple electronic products and multiple parameters for each electronic product. The inherent attributes of electronic products can be determined through multiple parameters. For example, for a mobile phone, its multiple parameters include brand, model, battery type, whether it supports Bluetooth, whether it supports memory cards, and the length and width of the display screen. For a plurality of electronic product accessories in the online store, the ...

no. 2 example

[0040] Such as figure 1 As shown, the accessory recommendation system of this embodiment also includes a database 1 , a matching module 2 , and an accessory recommendation module 3 .

[0041] Compared with the database in the accessory recommendation system of the first embodiment, the database 1 differs in that the database 1 also establishes a tree with multiple layers, and through the setting of the tree, all matching electronic products can be found for each electronic product. Product acessories. The root node of the tree is assigned as empty, so that when traversing the tree, you can directly descend from the root node to the nodes of the second layer, and each node in the second layer of the tree is respectively assigned as The types of electronic products in the electronic product list can be classified into electronic products in the online store during specific implementation, such as mainly divided into categories such as mobile phones, digital cameras, and noteboo...

no. 3 example

[0056] Such as figure 1 As shown, the accessory recommendation system of this embodiment also includes a database 1 , a matching module 2 , and an accessory recommendation module 3 .

[0057] The difference between the present embodiment and the second embodiment is only that the number of layers established by the database 1 of the present embodiment is a five-layer tree, and the parameters represented by each node in the third layer are the brands of electronic product accessories, such as mobile phones The child nodes of this node can be assigned as Nokia, Samsung, Huawei, Motorola, etc., and the parameters represented by each node in the fourth layer of the tree are the types of electronic product accessories. For example, the node assigned as Nokia The sub-nodes of can be assigned as mobile phone battery, mobile phone charger, memory card, mobile phone film, Bluetooth headset, mobile phone protective case, etc., and other nodes in the fourth layer can also perform similar...

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Abstract

The invention discloses an accessory recommending system and method. The accessory recommending system comprises a database for establishing an electronic product list having a plurality of electronic products and an electronic product accessory list having a plurality of electronic product accessories, both the electronic products and the electronic product accessories having a plurality of parameters; a matching module for querying out at least one electronic product accessory with all the parameters matched with all the parameters of a target electronic product from the electronic product accessory list, with one electronic product in the electronic product list serving as the target electronic product; and an accessory recommending module for recommending at least one electronic product accessory queried out to a user. The system and method can accurately query out the electronic product accessory matched with the electronic product, overcome the problems of cold start-up and recommendation of other categories of products caused by the traditional query algorithm and realize faster query and more complete query results, thereby improving user shopping experience.

Description

technical field [0001] The present invention relates to an accessory recommendation system, in particular to an accessory recommendation system capable of recommending electronic product accessories for users when viewing and purchasing electronic products, and an accessory recommendation method realized by using the accessory recommendation system. Background technique [0002] With the rapid development of Internet technology, more and more people choose to go online to buy goods in online stores. In this way, the Internet provides a platform for merchants to analyze and recommend products they want to users. Now many people choose to buy electronic products online, such as mobile phones, digital cameras, laptops, etc., and users usually also buy electronic product accessories for electronic products when buying electronic products. For example, users who buy mobile phones also want mobile phones. Film, bluetooth headset, etc. If the merchant can effectively recommend mat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06F17/30
Inventor 张宽
Owner 纽海信息技术(上海)有限公司
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