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Goods recommendation method and system

A commodity recommendation and commodity technology, which is applied in the fields of instruments, computing, and electrical and digital data processing.

Active Publication Date: 2014-06-04
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] This application provides a product recommendation method and system, which can solve the problems of large amount of data processing and low efficiency when recommending products

Method used

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  • Goods recommendation method and system
  • Goods recommendation method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] refer to figure 2 , showing Embodiment 1 of a product recommendation method of the present application, including the following steps:

[0046] Step 101, acquiring product pages of related products that have a link relationship with the product page of the current product.

[0047] The product pages of related products that have a link relationship with the product page of the current product include pages linked from the product page of the current product and pages linked to the product information page of the current product. Among them, the products displayed on the product pages with links often have related relationships in terms of product attributes and functions, so they can be considered as related products. The product page may be a page displaying product information, including a description of the product and link information of related products.

[0048] The page data of the product page contains various elements, such as pictures, videos, URLs linked o...

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PUM

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Abstract

The invention provides a goods recommendation method. The method comprises the following steps: a goods page of related goods having a link relationship with a goods page of the current goods is acquired; a first association degree between the current goods and the related goods is calculated according to the link relationship; an information page related to the current goods is acquired, and the related goods in the information page having a co-occurrence relationship with the current goods are determined; a second association degree between the current goods and the related goods is calculated according to the co-occurrence relationship; a third association degree between the current goods and the related goods is determined according to the first association degree and the second association degree; and recommended goods of the current goods are determined based on the third association degree. The invention further provides a goods recommendation system for implementing the method. The goods recommendation method and system of the invention can be used to reduce the data processing capacity in the goods recommendation process and improve the processing efficiency.

Description

technical field [0001] The present application relates to the technical field of computer data processing, in particular to a product recommendation method and system. Background technique [0002] With the continuous development of e-commerce, more and more users choose to shop online. Users access the e-commerce website through a browser and can conveniently select the commodities they need. In many cases, e-commerce websites will recommend products to users. For example, after a user purchases a certain product, it will recommend products similar to or related to the product. products, discounted products, best-selling products and more. Through product recommendation, on the one hand, the sales volume of e-commerce websites can be increased; on the other hand, active recommendation can avoid unnecessary search requests from users due to frequent search and search, and reduce the burden on the website server. [0003] Generally speaking, current e-commerce websites on ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06F17/30
Inventor 刘佳陈维赵文峰孙牧
Owner ALIBABA GRP HLDG LTD
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