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A commodity recommendation method in electronic commerce and a system using the same

A product recommendation and e-commerce technology, applied in the Internet field, can solve the problems of lack of personalization, accuracy, unsatisfactory real-time performance, low degree of automation and persistence, etc.

Inactive Publication Date: 2016-04-27
SUNING COM CO LTD
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  • Description
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AI Technical Summary

Problems solved by technology

The above methods are not ideal in terms of accuracy and real-time recommendation, the degree of automation and persistence of recommendation is low, and the lack of personalization

Method used

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  • A commodity recommendation method in electronic commerce and a system using the same
  • A commodity recommendation method in electronic commerce and a system using the same
  • A commodity recommendation method in electronic commerce and a system using the same

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Experimental program
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Embodiment Construction

[0048] Commodity purchase probability prediction is the basic prediction data for e-commerce websites to carry out product marketing and personalized recommendation. And the present invention proposes a commodity recommendation method and system based on commodity purchase probability in e-commerce. Probability of purchasing an item.

[0049] like Figure 1a , Figure 1b As shown, the process of the specific embodiment of the present invention, specifically, can be decomposed as follows figure 2 The steps shown are as follows:

[0050] 1) Collect the historical behavior of users on e-commerce websites;

[0051] 2) Construct user feature vectors based on user historical behavior;

[0052] 3) Train the statistical classification model according to the user feature vector to calculate the purchase probability of the product;

[0053] 4) Output the purchase probability.

[0054] or,

[0055] 1) Collect user login information;

[0056] 2) Obtain the historical information ...

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Abstract

The invention relates to a commodity recommendation method in electronic commerce and a system using the same. The method comprises the steps of firstly, collecting historical behavior data in an electronic commerce website of a user; secondly, performing commodity feature calculation according to the historical behavior data of the user and outputting commodity purchase probability prediction feature vectors of the user; thirdly, placing the output commodity purchase probability prediction feature vectors of the user in a statistical function according to feature and classification and calculating a user purchase probability prediction model to obtain a purchase probability prediction model; fourthly, performing commodity recommendation according to the purchase probability prediction model for the user and user login information. According to the invention, commodities meeting the requirements of users are recommended, personalized recommendation is realized, the customer satisfaction is improved and the user experience is improved.

Description

technical field [0001] The invention relates to the field of the Internet, in particular to a method and system for recommending commodities in e-commerce in the field of the Internet. Background technique [0002] With the popularization of the Internet and the development of e-commerce, while the e-commerce system provides users with more and more choices, its structure has become more complex. Users often get lost in a large amount of product information space and cannot find themselves smoothly. needed goods. For this reason, e-commerce websites all aim to obtain the maximum benefit, and use technical and non-technical methods to increase registered customers, increase order volume, and provide high-quality services. Under these premise, personalized commodity recommendation technology emerges as the times require. [0003] In the prior art, "database query" is used to find other products in the database that have the same author, same category, and same theme as the p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/00
Inventor 陈雪峰陆罡王文琪
Owner SUNING COM CO LTD
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