User dynamic classification-based e-commerce platform commodity recommendation method and system

Abstract

The invention discloses a user dynamic classification-based e-commerce platform commodity recommendation method and system. The method comprises the steps of obtaining basic information, real-time comment data and real-time browsing records of to-be-recommended users; extracting an interest feature tag vector and a vector weight of the to-be-recommended users from the acquired data; classifying the to-be-recommended users based on the interest feature tag vectors and the vector weights of the to-be-recommended users to obtain user categories of the to-be-recommended users; and outputting recommended commodities based on the user category of the to-be-recommended users and a pre-constructed corresponding relationship list of the user category and the commodity category.

Description

technical field

[0001] The present disclosure relates to the technical field of commodity recommendation, in particular to a method and system for recommending commodities on an e-commerce platform based on user dynamic classification. Background technique

[0002] The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art.

[0003] On the e-commerce platform, there are a wide variety of commodities, and user behaviors include searching, browsing, clicking, collecting, purchasing, etc., which constitute user behavior logs. The log data of different users and items vary widely, and the data volume of click behavior is often much greater than that of purchase behavior. The amount of data, therefore, only based on purchase and collection behaviors cannot accurately perceive the purchase intention of online customers. Using the multi-dimensional data of product sales, customer registration, and purch...

Examples

Embodiment 1

[0054] In order to solve the above technical problems, this embodiment provides a method for recommending commodities on an e-commerce platform based on user dynamic classification;

[0055] Such as figure 1 As shown, the product recommendation method of e-commerce platform based on user dynamic classification includes:

[0056] S101: Obtain basic information, real-time comment data and real-time browsing records of users to be recommended;

[0057] S102: From the acquired data, extract the interest feature label vector and vector weight of the user to be recommended;

[0058] S103: Based on the interest feature label vector and vector weight of the user to be recommended, classify the user to be recommended to obtain the user category of the user to be recommended;

[0059] S104: Based on the user category of the user to be recommended and the pre-built corresponding relationship list between the user category and the commodity category, output the recommended commodity.

...

Embodiment 2

[0131] This embodiment provides an e-commerce platform product recommendation system based on user dynamic classification;

[0132] A product recommendation system for e-commerce platforms based on user dynamic classification, including:

[0133] An acquisition module configured to: acquire basic information, real-time comment data and real-time browsing records of users to be recommended;

[0134] The extraction module is configured to: extract the interest feature label vector and vector weight of the user to be recommended from the acquired data;

[0135] A classification module, which is configured to: classify the user to be recommended based on the interest feature label vector and vector weight of the user to be recommended, and obtain the user category of the user to be recommended;

[0136] The output module is configured to: output recommended commodities based on the user category of the user to be recommended and the pre-built corresponding relationship list betwe...

Embodiment 3

[0142] This embodiment also provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein, the processor is connected to the memory, and the one or more computer programs are programmed Stored in the memory, when the electronic device is running, the processor executes one or more computer programs stored in the memory, so that the electronic device executes the method described in Embodiment 1 above.

[0143] It should be understood that in this embodiment, the processor can be a central processing unit CPU, and the processor can also be other general-purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate array FPGA or other programmable logic devices , discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, o...

technical field

[0001] The present disclosure relates to the technical field of commodity recommendation, in particular to a method and system for recommending commodities on an e-commerce platform based on user dynamic classification. Background technique

[0002] The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art.

[0003] On the e-commerce platform, there are a wide variety of commodities, and user behaviors include searching, browsing, clicking, collecting, purchasing, etc., which constitute user behavior logs. The log data of different users and items vary widely, and the data volume of click behavior is often much greater than that of purchase behavior. The amount of data, therefore, only based on purchase and collection behaviors cannot accurately perceive the purchase intention of online customers. Using the multi-dimensional data of product sales, customer registration, and purch...

Examples

Embodiment 1

[0054] In order to solve the above technical problems, this embodiment provides a method for recommending commodities on an e-commerce platform based on user dynamic classification;

[0055] Such as figure 1 As shown, the product recommendation method of e-commerce platform based on user dynamic classification includes:

[0056] S101: Obtain basic information, real-time comment data and real-time browsing records of users to be recommended;

[0057] S102: From the acquired data, extract the interest feature label vector and vector weight of the user to be recommended;

[0058] S103: Based on the interest feature label vector and vector weight of the user to be recommended, classify the user to be recommended to obtain the user category of the user to be recommended;

[0059] S104: Based on the user category of the user to be recommended and the pre-built corresponding relationship list between the user category and the commodity category, output the recommended commodity.

...

Embodiment 2

[0131] This embodiment provides an e-commerce platform product recommendation system based on user dynamic classification;

[0132] A product recommendation system for e-commerce platforms based on user dynamic classification, including:

[0133] An acquisition module configured to: acquire basic information, real-time comment data and real-time browsing records of users to be recommended;

[0134] The extraction module is configured to: extract the interest feature label vector and vector weight of the user to be recommended from the acquired data;

[0135] A classification module, which is configured to: classify the user to be recommended based on the interest feature label vector and vector weight of the user to be recommended, and obtain the user category of the user to be recommended;

[0136] The output module is configured to: output recommended commodities based on the user category of the user to be recommended and the pre-built corresponding relationship list betwe...

Embodiment 3

[0142] This embodiment also provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein, the processor is connected to the memory, and the one or more computer programs are programmed Stored in the memory, when the electronic device is running, the processor executes one or more computer programs stored in the memory, so that the electronic device executes the method described in Embodiment 1 above.

[0143] It should be understood that in this embodiment, the processor can be a central processing unit CPU, and the processor can also be other general-purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate array FPGA or other programmable logic devices , discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, o...

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