Product information recommendation method and system

A technology of product information and recommendation methods, applied in the field of data processing, can solve the problems of large system resource consumption, slow data processing speed, slow speed, etc., to reduce the requirements of system resources, the recommendation results are reasonable, and the effect of reducing the amount of data

Active Publication Date: 2012-03-21
ALIBABA GRP HLDG LTD
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  • Abstract
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Problems solved by technology

[0004] However, this recommendation method only considers the user's historical operation data, and does not comprehensively consider other information associated with the product that the user is interested in. Therefore, the recommendation result is often very inaccurate; especially when the user is a new user, due to There is no historical operation data, and it is even difficult to recommend products for users at this time
[0005] Moreover, the existing correlation algorithm itself consumes a lot of system resources, and all products need to be calculated with other products, the amount of data processed is large, and the speed is relatively slow, especially in In the case of massive users, massive products, and massive access data, the data processing speed is slow, and resource consumption is more serious, making it difficult to meet the timeliness requirements of the recommendation system

Method used

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  • Product information recommendation method and system
  • Product information recommendation method and system
  • Product information recommendation method and system

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Embodiment Construction

[0026] Hereinafter, the implementation of the method and system for recommending product information of this application will be described in detail with reference to the accompanying drawings.

[0027] in figure 1 In the network structure shown, the user communicates with the server 12 through the client 11 to obtain the product information of the product of interest from the server 12; and the server 12 can also return to the client 11 where the user is located to recommend to the user Product information.

[0028] Such as figure 1 As shown, in actual applications, there may be multiple users accessing the server 12 through different clients. Correspondingly, the server 12 needs to return the product information recommended to the corresponding user to the client where each user is located.

[0029] Such as figure 2 As shown, the server 12 performs the following steps:

[0030] Step 201: Predetermine the recommended product set of each user and / or the recommended product set of ea...

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Abstract

The invention discloses a product information recommendation method and a system; wherein the method comprises the steps of determining a recommend product set of a user and / or a recommend product set of a product in advance; obtaining network operation of a first user and determining a product recommendation type according to the network operation of the first user; and determining the needed product information recommended for the first user under the corresponding product recommendation type from the recommend product set of the first user and / or the recommend product set of the first product relevant to the network operation according to the determined product recommendation type. The method and the system can more accurately determine the product information possibly needed by the user.

Description

Technical field [0001] This application relates to data processing technology, and in particular to a method and system for recommending product information. Background technique [0002] In Internet technology, websites often need to recommend various product information to users. For example, e-commerce websites recommend products that users may be interested in to users on web pages. Through this method of recommendation, the path for users to find the products they need is shortened and user experience is improved. [0003] Generally, when a website recommends a product, it uses a correlation algorithm to determine the relationship between other products and the purchased product based on the user’s historical operation data for certain products, such as the user’s product purchase history data, etc. Product information that is strongly related to the product purchased by the user is recommended to the user. [0004] However, this recommendation method only considers the user's...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/02
CPCG06Q30/0631
Inventor 苏宁军杨志雄顾海杰朱楼华
Owner ALIBABA GRP HLDG LTD
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