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
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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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