A data analysis processing method and system for e-commerce users

Abstract

The application provides a data analysis processing method and system for e-commerce users, and belongs to the technical field of data analysis. Specifically, the title data of a title reference commodity is used to determine a test analysis scheme for title update processing of the newly listed commodity by updating the processing result, test data after title update processing is used to perform keyword update processing of the newly listed commodity, and whether the title reference commodity can be delisted is determined through the keyword of the title of the newly listed commodity and the update processing data of the comment data of the e-commerce user, thereby improving the reliability of the title update processing of the newly listed commodity.

Description

Technical Field

[0001] This invention belongs to the field of data analysis technology, and in particular relates to a data analysis and processing method and system for e-commerce users. Background Technology

[0002] E-commerce user data on e-commerce platforms has significant value, providing valuable insights for merchants to develop marketing strategies and improve customer satisfaction. Existing technical solutions often generate user profiles by analyzing the shopping data of e-commerce users, thereby creating differentiated marketing plans. A similar technical solution is presented in CN120258885A, "A Method for Screening E-commerce Users Based on Big Data".

[0003] E-commerce platforms often need to update their product listings regularly, such as listing new models and removing older ones. However, when new models are listed, there's a lack of relevant review data, making it difficult to determine the right keywords for the titles. Therefore, figuring out how to use review data from similar older models to optimize keyword settings, thereby increasing the exposure of new models and quickly removing older models while avoiding significant overlap in exposure, becomes a pressing technical challenge.

[0004] To address the aforementioned technical problems, this application provides a data analysis and processing method and system for e-commerce users. Summary of the Invention

[0005] To achieve the objectives of this invention, the following technical solution is adopted:

[0006] Specifically, this application provides a data analysis and processing method for e-commerce users, which includes:

[0007] S1 determines the association between the product characteristics of the newly listed product and the product characteristics of the products listed on the e-commerce platform, as well as the title reference product, based on the product characteristics of the title reference product and the newly listed product. When the association between the title reference product and the newly listed product meets the requirements, the update processing result of the title of the newly listed product is determined based on the comment data of the e-commerce users of the title reference product.

[0008] S2 determines a test analysis scheme for updating the title of the newly listed product based on the title reference product's title data and the update processing result, and uses the test data after the title update processing to update the keywords of the newly listed product.

[0009] S3 determines whether the title reference product can be removed from the platform by updating the keywords in the title of the newly listed product and the review data of e-commerce users.

[0010] The beneficial effects of this invention are as follows:

[0011] Based on e-commerce user review data referencing the product titles, the update processing results for newly listed product titles are determined. This enables the determination of the matching degree between the product characteristics of newly listed products and user needs from the e-commerce user review data referencing the product titles. Then, the matching degree with user needs is used to update the titles of newly listed products, thereby ensuring the matching degree between the titles of newly listed products and user needs, and thus increasing the exposure probability of the titles.

[0012] By analyzing the keywords in the titles of newly listed products and the updated data of e-commerce user reviews, it is determined whether the reference product in the title can be removed from the platform. This approach takes into account the need for secondary title updates based on the review data of the reference product due to discrepancies in the updated user review data for newly listed products. It also considers the varying degrees of keyword overlap between the reference product and the title, leading to different secondary title update needs for different newly listed products. This approach assesses whether the reference product in the title can be removed from the platform based on the needs of title updates, avoiding the risk of sudden removals that could lead to inaccurate control over customer demand during secondary title updates. It also ensures timely removal, preventing competition between new and old products and reducing the maintenance and management costs of the e-commerce platform.

[0013] It should be noted that the newly listed products are those that have been listed for a period of time within a preset range. Specifically, products that have been listed for less than one week are considered as newly listed products.

[0014] It is understood that the listed products refer to products on the e-commerce platform excluding newly listed products.

[0015] Furthermore, the product characteristics are determined based on three dimensions: material composition, type, and specifications. In one possible embodiment, for a range hood, the material composition includes stainless steel, tempered glass, alloy, and acrylic sheet; the type includes top-mounted, side-mounted, and top-and-side dual-mounted; and the specifications include width, height, depth, installation height, air volume, noise, grease separation degree, and transient odor reduction degree.

[0016] Product features include corrosion resistance, easy cleaning, high temperature resistance, simple appearance, high aesthetic appeal, small size, large air volume, and low noise, all of which are determined by the material composition, type, and specifications of the product.

[0017] Furthermore, the association with the product features of the listed products includes determining that the number of product features of the newly listed products is the same as that of the listed products.

[0018] Furthermore, the method for determining the title reference product is as follows:

[0019] Based on the correlation between the product characteristics of the newly listed product and the product characteristics of the listed product, determine the identical data of the product characteristics of the newly listed product and the listed product;

[0020] Based on the same data regarding the product characteristics, it is determined whether the listed product is a title reference product.

[0021] It is understandable that when there are no identical product characteristics in different dimensions, the listed product is determined not to be a title reference product; when there are identical product characteristics in different dimensions, the listed product is determined to be a title reference product.

[0022] Furthermore, determining whether the product with the title reference can be removed from the platform specifically includes:

[0023] Based on the updated keyword processing data of the titles of the newly listed products, keywords that are the same in the titles of different newly listed products and the titles of the reference products are identified as the same keywords;

[0024] Based on the update processing data of e-commerce users' review data for different newly listed products, determine the number of times the e-commerce users' review data for newly listed products needs to be updated;

[0025] Based on the number of newly listed products and the data on the same keywords between the newly listed products and different title reference products, it is determined whether the title reference products can be removed from the shelves.

[0026] Secondly, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the aforementioned data analysis and processing method for e-commerce users when running the computer program.

[0027] Other features and advantages will be set forth in the following description, and the objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0028] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0029] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0030] Figure 1 This is a flowchart of a data analysis and processing method for e-commerce users;

[0031] Figure 2 This is a flowchart illustrating the method for determining the product reference in the title;

[0032] Figure 3 This is a flowchart illustrating the method for determining the results of updating the titles of newly listed products.

[0033] Figure 4 This is a flowchart illustrating the method for determining a test analysis plan for updating the titles of newly listed products;

[0034] Figure 5 It is a framework diagram of a computer system. Detailed Implementation

[0035] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0036] Example 1

[0037] like Figure 1 As shown, this application provides a data analysis and processing method for e-commerce users, specifically including:

[0038] S1 determines the association between the product characteristics of the newly listed product and the product characteristics of the products listed on the e-commerce platform, as well as the title reference product, based on the product characteristics of the title reference product and the newly listed product. When the association between the title reference product and the newly listed product meets the requirements, the update processing result of the title of the newly listed product is determined based on the comment data of the e-commerce users of the title reference product.

[0039] It should be noted that the newly listed products are those that have been listed for a period of time within a preset range. Specifically, products that have been listed for less than one week are considered as newly listed products.

[0040] It is understood that the listed products refer to products on the e-commerce platform excluding newly listed products.

[0041] Furthermore, the product characteristics are determined based on three dimensions: material composition, type, and specifications. In one possible embodiment, for a range hood, the material composition includes stainless steel, tempered glass, alloy, and acrylic sheet; the type includes top-mounted, side-mounted, and top-and-side dual-mounted; and the specifications include width, height, depth, installation height, air volume, noise, grease separation degree, and transient odor reduction degree.

[0042] Product features include corrosion resistance, easy cleaning, high temperature resistance, simple appearance, high aesthetic appeal, small size, large air volume, and low noise, all of which are determined by the material composition, type, and specifications of the product.

[0043] Furthermore, the association with the product features of the listed products includes determining that the number of product features of the newly listed products is the same as that of the listed products.

[0044] Specifically, such as Figure 2 As shown, the method for determining the title reference product is as follows:

[0045] Based on the correlation between the product characteristics of the newly listed product and the product characteristics of the listed product, determine the identical data of the product characteristics of the newly listed product and the listed product;

[0046] Based on the same data regarding the product characteristics, it is determined whether the listed product is a title reference product.

[0047] It is understandable that when there are no identical product characteristics in different dimensions, the listed product is determined not to be a title reference product; when there are identical product characteristics in different dimensions, the listed product is determined to be a title reference product.

[0048] In one possible embodiment, if the newly listed range hood is a top-mounted type while the listed range hood is a side-mounted type, then the two are inconsistent in terms of type. Therefore, it is determined that the listed range hood is not a product referenced in the title of the newly listed range hood. By combining product characteristics to filter the title reference products, it is possible to determine which product features of the newly listed products are of interest to users from the product review data of the title reference products, and then to construct keywords for the title.

[0049] Optionally, the method for determining the title reference product is as follows:

[0050] Based on the correlation between the product characteristics of the newly listed product and the product characteristics of the listed product, determine the identical data of the product characteristics of the newly listed product and the listed product;

[0051] Based on the same data of the product features, determine the number of identical features under different dimensions of the product features;

[0052] Based on the number of identical features across different product feature dimensions, it is determined whether the listed product is a title reference product.

[0053] It is understandable that determining whether a listed product is a title reference product is based on the number of identical features across different product characteristic dimensions. Specifically, this includes:

[0054] Based on the same number of features, determine the same quantity under different dimensions of product features;

[0055] When the same quantity under different dimensions of product features meets the requirements, the listed product is determined to be the title reference product. In one possible embodiment, when the ratio of the same quantity to the quantity of product features under the dimension is greater than a preset ratio threshold, the same quantity under the product features of the dimension is determined to meet the requirements.

[0056] Furthermore, determining whether the association between the title reference product and the newly listed product meets the requirements specifically includes:

[0057] Based on the association between the title reference product and the newly listed product, determine that the title reference product is a newly listed product belonging to the title reference product category, and use it as a reference product.

[0058] Based on the title reference product data in different reference product categories, determine whether the association between the title reference product and the newly listed product meets the requirements.

[0059] It is understandable that when there are many reference products with a small number of reference products in the title, removing the reference products from the platform would prevent the acquisition of valid average data when updating the titles of the reference products again. This would fail to meet the requirements for updating the titles of newly listed products. Therefore, it is determined that the association between the reference products in the title and the newly listed products does not meet the requirements, and the reference products in the title cannot be removed from the platform.

[0060] In one possible embodiment, if the number of reference items in the title reference product is no more than 2 and the number of reference objects discussed is no less than 3, then it is determined that the association between the title reference product and the newly listed product does not meet the requirements.

[0061] Optionally, determining whether the association between the title reference product and the newly listed product meets the requirements specifically includes:

[0062] Based on the association between the title reference product and the newly listed product, determine that the title reference product is a newly listed product belonging to the title reference product category, and use it as a reference product.

[0063] Based on the title reference product data of different reference object products, determine the number of title reference products in different reference object products;

[0064] By considering the number of title reference products among different reference product categories, determine whether the association between the title reference products and the newly listed products meets the requirements.

[0065] It is understandable that the association between the title reference product and the newly listed product is determined based on the number of title reference products in different reference object products, the reference weight value of the title reference product in different reference object products, and the sum of the reference weight values ​​of different reference object products. The reference weight value is determined by the reciprocal of the number of title reference products in the reference object products. When the sum of the reference weight values ​​of different reference object products is greater than the preset weight setting value, it is determined that the association between the title reference product and the newly listed product does not meet the requirements.

[0066] Specifically, such as Figure 3 As shown, the method for determining the update result of the title of the newly listed product is as follows:

[0067] Based on the e-commerce user review data of the title reference product, determine the correlation between the e-commerce user review data and the product characteristics of the newly listed product, and use the correlation to determine the associated e-commerce users in the review data;

[0068] Based on the associated e-commerce user data under different product characteristics, the update processing result of the title of the newly listed product is determined.

[0069] It is understood that the associated e-commerce users are e-commerce users whose review data contains keywords corresponding to the product features, and the associated e-commerce users under the product features are e-commerce users whose review data contains keywords corresponding to the product features.

[0070] Specifically, based on the associated e-commerce user data under different product characteristics, the update processing result of the title of the newly listed product is determined, including:

[0071] Keywords corresponding to the product characteristics that meet the requirements in terms of the number of associated e-commerce users will be used as candidate keywords for the titles of newly listed products.

[0072] The title update results are generated based on the candidate keywords and the product type of the newly listed products.

[0073] In one possible embodiment, keywords corresponding to product features with more than 200 associated e-commerce users are selected as candidate keywords. This indicates that the relevant product features are the focus of e-commerce users when making purchases, and therefore users have a higher demand for these product features. Based on this, the candidate keywords and product type, namely range hood, are used as the updated title of the range hood.

[0074] S2 determines a test analysis scheme for updating the title of the newly listed product based on the title reference product's title data and the update processing result, and uses the test data after the title update processing to update the keywords of the newly listed product.

[0075] Specifically, such as Figure 4 As shown, the method for determining the test analysis scheme for updating the titles of newly listed products is as follows:

[0076] Using the title data of the reference product, determine the data where the candidate keywords in the update processing result are the same as the keywords in the title of the reference product;

[0077] Based on the same data, identify reference products with titles containing the same keywords in the titles corresponding to different candidate keywords;

[0078] By using different alternative keywords and corresponding title reference products that have the same keywords in their titles, a test analysis plan for updating the titles of the newly listed products is determined.

[0079] It should be noted that the test analysis plan for updating the titles of newly listed products is determined by using reference products with titles containing the same keywords as the alternative keywords. This plan specifically includes:

[0080] Use alternative keywords for titles that contain the same keywords as interfering keywords, and use alternative keywords for titles that do not contain the same keywords as basic keywords.

[0081] Based on the aforementioned basic keywords and product types, a basic title is constructed;

[0082] Based on the word limit of the title and the word limit of the basic title as constraints, the interfering keywords and the basic title are freely combined to obtain multiple test schemes;

[0083] Based on the number of reference products with the same keywords corresponding to different interfering keywords, the number of test schemes is determined. The test analysis scheme for updating the titles of newly listed products in the test scheme is determined using the number of test schemes.

[0084] Understandably, the number of test schemes is determined by the constraint that the number of reference products with the same interfering keywords in the titles corresponding to the test schemes is less than the preset number of products.

[0085] Once the number of test plans is determined, the test analysis plan is determined based on the constraint that the number of reference products with the same interfering keywords in the title corresponding to the test plan is less than the preset number of products. There are multiple test plans in the test analysis plan.

[0086] In one possible embodiment, if, in addition to the basic keywords and product types, due to character limitations, two sets of interfering keywords can be substituted, where interfering keywords A / B / C / D have title reference products with 1 identical keyword, 2 identical keywords, 2 identical keywords, and 3 identical keywords respectively, then since substituting D into the title will affect the exposure of all 3 title reference products, if the title reference product corresponding to the same keyword as A is the same as B / C, and the title reference products corresponding to the same keyword of B / C are different, then the number of test schemes is determined with the goal of having fewer than 3 title reference products simultaneously, i.e., two.

[0087] Furthermore, the keywords for the newly listed products will be updated, specifically including:

[0088] According to the preset time period, the keywords of the titles of the newly listed products are updated using different test schemes in the test analysis plan.

[0089] Based on test data under different title keywords, the result of the keyword update process for the newly listed products is determined.

[0090] It should be noted that the preset time period is between 1 and 3 days, preferably 2 days. The test data refers to the number of visitors to newly listed products under different title keywords. It can be understood that the keywords of newly listed products are updated according to the test plan with a 2-day cycle. This process is repeated for no less than 3 rounds. The keyword corresponding to the test plan with the most visitors is taken as the result of the keyword update for the newly listed products.

[0091] S3 determines whether the title reference product can be removed from the platform by updating the keywords in the title of the newly listed product and the review data of e-commerce users.

[0092] Furthermore, determining whether the product with the title reference can be removed from the platform specifically includes:

[0093] Based on the updated keyword processing data of the titles of the newly listed products, keywords that are the same in the titles of different newly listed products and the titles of the reference products are identified as the same keywords;

[0094] Based on the update processing data of e-commerce users' review data for different newly listed products, determine the number of times the e-commerce users' review data for newly listed products needs to be updated;

[0095] It should be noted that the update quantity refers to the number of new e-commerce users with comment data in the newly listed products.

[0096] Based on the number of newly listed products and the data on the same keywords between the newly listed products and different title reference products, it is determined whether the title reference products can be removed from the shelves.

[0097] Furthermore, when there are newly listed products whose update quantity does not meet the requirements, it is determined that the title reference product cannot be removed from the shelves. In one possible embodiment, if there are newly listed products with an update quantity of less than 300, the title update process needs to refer to the keywords in the comment data of the title reference product. However, updating the title of the title reference product may affect the update of exposure data and comment data. Therefore, it cannot be removed from the shelves under these circumstances.

[0098] Additionally, it can be understood that if there are no newly listed products whose update quantity does not meet the requirement, the number of identical keywords between the newly listed products and different title reference products is determined based on the data of identical keywords. Based on this number of identical keywords, it is determined that there are no title reference products among the different newly listed products that require title updates, i.e., there are no newly listed products whose number of identical keywords does not meet the requirement. In one possible embodiment, if the number of keywords is 3, i.e., there are no title reference products among the different newly listed products with at least 2 identical keywords, it is determined that the title of the title reference product can be removed from the shelves. Title reference products with at least 2 identical keywords are considered title reference products whose number of identical keywords does not meet the requirement, meaning they require title updates.

[0099] Furthermore, if there are new listings with the same number of keywords as the title reference product but not meeting the requirement, then there are title reference products with keywords that significantly interfere with the new listings. Therefore, to ensure the exposure of the new listings, if the number of new listings with the same number of keywords as the title reference product is the largest among all title reference products, then the title of the title reference product can be removed from the shelves. This avoids the impact on the exposure of the new listings due to identical keywords, thus reducing the number of matching results under the same keywords and increasing the exposure of the new listings.

[0100] If the number of newly listed products whose keywords do not meet the requirement is the largest among all title reference products, it is necessary to further identify title reference products among different newly listed products whose keyword overlap is not met, and treat them as keyword interference products. The ranking of the title reference products among different newly listed products is determined based on the number of newly listed products whose title reference products are keyword interference products. When the number of newly listed products whose ranking does not meet the requirement is insufficient, i.e., the number of newly listed products with high keyword overlap is too large, then because the number of title reference products among newly listed products is relatively small, it is determined that the title reference product cannot be removed from the shelves. In other cases, it can be removed from the shelves.

[0101] It should be noted that when there are a large number of newly listed products that are title reference products and are keyword interference products, that is, when the number of such products accounts for more than 0.7% of the newly listed products, if they are not title reference products that cannot be removed from the shelves, they will be removed directly to reduce the impact on the exposure of the newly listed products.

[0102] In one possible embodiment, the sorting result is sorted from smallest to largest based on the number of newly listed products whose title reference products belong to the update requirement products. Specifically, if the number of newly listed products belonging to the update requirement products are 3, 2, and 1 respectively, the sorting result is 3, 2, 1. The sorting results before two-thirds are excluded as newly listed products that do not meet the requirements. In one possible embodiment, if the number of title reference products with a sorting result of 1 among the newly listed products is half of the total number of title reference products, then the other title reference products are determined not to be removed from the shelves because they have a high degree of overlap with the newly listed products.

[0103] Optionally, determining whether the product with the title reference can be removed from the platform includes:

[0104] Based on the updated keyword processing data of the titles of the newly listed products, keywords that are the same in the titles of different newly listed products and the titles of the reference products are identified as the same keywords;

[0105] Based on the update processing data of e-commerce users' review data for different newly listed products, determine the number of times the e-commerce users' review data for newly listed products needs to be updated;

[0106] Based on the same keyword data of the newly listed products and different title reference products, the ranking result of the title reference products in terms of the number of the same keywords among the newly listed products is determined. Based on the ranking results among different newly listed products and the number of updates to the e-commerce user comment data of the newly listed products, it is determined whether the title reference products can be delisted.

[0107] It is understood that the sorting result is obtained by eliminating the number of identical keywords between the title reference product and the newly listed product in descending order.

[0108] Furthermore, if there are newly listed products whose update quantity does not meet the requirement, it is determined that the title of the reference product cannot be removed from the shelves. If there are no newly listed products whose update quantity does not meet the requirement, and the number of reference products whose ranking result is 1 for the same keyword quantity among all newly listed products is greater than the preset reference product quantity threshold, it is determined that the title of the reference product can be removed from the shelves. Otherwise, it is impossible to remove the products from the shelves.

[0109] It is understandable that if the number of title reference products with a ranking result of 1 for the same keyword among all newly listed products is greater than one-third of the total number of title reference products, then the title of the title reference product can be removed from the shelves; otherwise, it is impossible to remove it from the shelves.

[0110] Example 2

[0111] Secondly, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the aforementioned data analysis and processing method for e-commerce users when running the computer program.

[0112] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0113] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0114] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A data analysis and processing method for e-commerce users, characterized in that, Specifically, it includes: Based on the product characteristics of newly listed products, determine the correlation between the product characteristics of products listed on the e-commerce platform and the title reference products. When the correlation between the title reference products and the newly listed products meets the requirements, determine the update processing result of the title of the newly listed products based on the comment data of e-commerce users of the title reference products. Based on the title reference product title data, a test analysis scheme for updating the title of the newly listed product is determined through the update processing results. The keywords of the newly listed product are updated using the test data of the title after the update processing. By updating the keywords in the titles of newly listed products and the review data of e-commerce users, it is determined whether the title reference product can be removed from the shelves. Determine that the association between the title reference product and the newly listed product meets the requirements, specifically including: Based on the association between the title reference product and the newly listed product, determine that the title reference product is a newly listed product belonging to the title reference product category, and use it as a reference product. Based on the title reference product data in different reference product categories, determine whether the association between the title reference product and the newly listed product meets the requirements.

2. The data analysis and processing method for e-commerce users as described in claim 1, characterized in that, The product characteristics are determined based on three dimensions: material composition, type, and specifications.

3. The data analysis and processing method for e-commerce users as described in claim 1, characterized in that, The association between the product features of the newly listed products and the listed products in the e-commerce platform is determined by the number of identical product features between the newly listed products and the listed products.

4. The data analysis and processing method for e-commerce users as described in claim 1, characterized in that, The method for determining the title reference product is as follows: Based on the correlation between the product characteristics of the newly listed product and the product characteristics of the listed product, determine the identical data of the product characteristics of the newly listed product and the listed product; Based on the same data regarding the product characteristics, it is determined whether the listed product is a title reference product.

5. The data analysis and processing method for e-commerce users as described in claim 4, characterized in that, When there is no identical product feature in a dimension, the listed product is determined not to be a product referenced in the title.

6. The data analysis and processing method for e-commerce users as described in claim 1, characterized in that, The method for determining the result of updating the title of the newly listed product is as follows: Based on the e-commerce user review data of the title reference product, determine the correlation between the e-commerce user review data and the product characteristics of the newly listed product, and use the correlation to determine the associated e-commerce users in the review data; Based on the associated e-commerce user data under different product characteristics, the update processing result of the title of the newly listed product is determined.

7. The data analysis and processing method for e-commerce users as described in claim 6, characterized in that, The associated e-commerce users are those whose review data contains keywords corresponding to the product characteristics.

8. The data analysis and processing method for e-commerce users as described in claim 1, characterized in that, Determining whether the product with the title reference can be removed from the platform specifically includes: Based on the updated keyword processing data of the titles of the newly listed products, keywords that are the same in the titles of different newly listed products and the titles of the reference products are identified as the same keywords; Based on the update processing data of e-commerce users' review data for different newly listed products, determine the number of times the e-commerce users' review data for newly listed products needs to be updated; The update quantity refers to the number of new e-commerce users with review data in the newly listed products.

9. A computer system, comprising: A memory and processor connected by communication, and a computer program stored in the memory and capable of running on the processor, characterized in that, when the processor runs the computer program, it executes a data analysis and processing method for e-commerce users as described in any one of claims 1-8.

Images