Commodity recommendation method and device

A product recommendation and product technology, applied in business, data processing applications, instruments, etc., can solve problems such as accurate product recommendation and recommendation, and achieve the effect of increasing product sales, improving user experience, and saving time for browsing products.

Inactive Publication Date: 2016-04-06
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] This application provides a product recommendation method to solve the problem that the existing technology cannot provide real-time and accurate product recommendation for current users

Method used

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  • Commodity recommendation method and device
  • Commodity recommendation method and device
  • Commodity recommendation method and device

Examples

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Embodiment Construction

[0072] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways different from those described here, and those skilled in the art can make similar promotions without violating the connotation of the present application. Therefore, the present application is not limited by the specific implementation disclosed below.

[0073] In this application, a product recommendation method and a product recommendation device are respectively provided. Each will be described in detail in the following examples. Since the technical solution described in this embodiment uses a logistic regression algorithm, for ease of understanding, a brief description of the logistic regression algorithm is given first.

[0074] The Logistic Regression algorithm (LR algorithm for short), also known as the Logit model, is one of the discrete choice method model...

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Abstract

The invention discloses a commodity recommendation method which comprises a step of obtaining the historical behavior data of a user browsing commodity, a step of using a pre-generated commodity attribute value prediction model to obtain the currently interested commodity attribute value combination of a user according to the user information of a current user, the historical behavior data and a recommended commodity attribute value combination, and a step of obtaining the commodity set corresponding to the currently interested commodity attribute value combination of the user and recommending at least a part of the commodity in the commodity set to the current user. The invention also discloses a commodity recommendation device. By using the method provided by the invention, the currently interested commodity information can be accurately recommended to the user who browses the commodity at present in real time, the time of browsing the commodity of the user can be saved, the user experience can be effectively improved, and the commodity sale volume of a site can be improved.

Description

technical field [0001] This application relates to the field of personalized recommendation, and specifically relates to a commodity recommendation method. The present application also provides a product recommendation device. Background technique [0002] With the popularization of the Internet and the development of website technology, more and more users choose to browse, select, or purchase the commodities they need online. However, with the rapid growth of the number and types of commodities, users often need to spend a lot of time browsing to find the commodities they need or are interested in, which may cause the continuous loss of consumers who patronize the website. In this case, many websites use various forms of recommendation technology to recommend products to users to varying degrees. Products and information. Through product recommendation, on the one hand, the sales volume of the shopping website can be increased, on the other hand, it is convenient for us...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/00
Inventor 杨志雄梁丽张洪
Owner ALIBABA GRP HLDG LTD
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