Multi-user mall system mobile e-commerce service platform

Abstract

The invention provides a mobile e-commerce service platform of a multi-user shopping mall system. The mobile e-commerce service platform comprises a user side module, a merchant side module, a server module and a data storage module, the server module comprises a load balancing unit, an encryption transmission unit, a shop customization unit and a search algorithm unit; the load balancing unit is used for distributing requests of the user side module to different server nodes according to a preset load balancing algorithm, and the preset load balancing algorithm in the load balancing unit is # imgabs0 #; the encryption transmission unit is used for encrypting data transmitted between the user side module and the server module; the shop customization unit is used for providing a visual shop customization tool for the merchant end module; and the search algorithm unit performs semantic analysis on keywords input by the user based on word vectors and / or deep learning. The processing capability of the e-commerce service platform in high concurrency is improved through a load balancing algorithm.

Description

Technical Field

[0001] The present invention relates to the technical field of e-commerce service platforms, and particularly to a mobile e-commerce service platform for a multi-user mall system. Background Art

[0002] With the rapid development of the mobile Internet, mobile e-commerce service platforms have become an important channel for commercial transactions. Existing mobile e-commerce service platforms for multi-user mall systems have many technical problems in practical applications.

[0003] In terms of multi-user concurrent access, with the sharp increase in the number of users, the servers of the service platform are under great pressure. For example, during some promotional activities, a large number of users access product pages and place orders simultaneously. The existing server architecture is difficult to withstand such a high concurrency, resulting in slow page loading or even system crashes. According to statistics, during a large-scale promotional activity, on a well-known e-commerce service platform, within 10 minutes after the start of the activity, more than 20% of users could not normally load product pages, seriously affecting the user experience and the sales performance of merchants.

[0004] In summary, the technical problem actually solved by the present invention is how to improve the processing ability of the e-commerce service platform under high concurrency. Summary of the Invention

[0005] In order to overcome the technical defect that the existing e-commerce service platform crashes under high concurrency, the purpose of the present invention is to provide a mobile e-commerce service platform for a multi-user mall system, which improves the processing ability of the e-commerce service platform under high concurrency through a load balancing algorithm.

[0006] The present invention discloses a mobile e-commerce service platform for a multi-user mall system, including a user end module, a merchant end module, a server module, and a data storage module; Among them, the user end module is communicatively connected to the server module for transmitting user operation requests and feedback information; the merchant end module is communicatively connected to the server module for transmitting merchant business operations and data interactions; the data storage module continuously interacts with the server module for data storage and / or reading; The server module includes a load balancing unit, an encrypted transmission unit, a store customization unit, and a search algorithm unit; among them, the load balancing unit is used to allocate requests from the user end module to different server nodes according to a preset load balancing algorithm. The preset load balancing algorithm in the load balancing unit is: Wherein, is the probability that the th server node is allocated the request, is the The current load capacity of a server node is the total number of server nodes and is the total request volume; The encryption transmission unit is used to encrypt the data transmitted between the client module and the server module; the store customization unit is used to provide a visual store customization tool for the merchant - side module; the search algorithm unit performs semantic analysis on the keywords input by the user based on word vectors and / or deep learning.

[0007] Preferably, the client module includes a product browsing unit, a shopping cart unit, an order management unit, and a user evaluation unit; Among them, the product browsing unit is used for the user to browse products, the shopping cart unit is used for the user to add the products in the product browsing unit to the shopping cart unit for storage, the order management unit is used for the user to view, modify, and cancel product orders, and the user evaluation unit is used to evaluate products and / or merchants.

[0008] Preferably, the merchant - side module includes a product management unit, an order processing unit, a store data analysis unit, and a marketing promotion unit; Among them, the product management unit is used for merchants to add, modify, and take off - shelf products, the order processing unit is used for merchants to process user product orders, the store data analysis unit is used for merchants to analyze and calculate the product sales volume, visitor traffic, and conversion rate of the store, and the marketing promotion unit is used to formulate and execute marketing promotion strategies.

[0009] Preferably, the data storage module uses a distributed database to store user information, product information, order information, and merchant store information.

[0010] Preferably, the load - balancing unit further includes a monitoring sub - unit, and the monitoring sub - unit is used to monitor the load situation of the server node in real - time and dynamically adjust the parameters of the load - balancing algorithm according to the change of the load situation.

[0011] Preferably, the encryption transmission unit further includes a data integrity verification sub - unit, and the data integrity verification sub - unit is used to perform integrity verification on the transmitted data before and after data transmission.

[0012] Preferably, the store customization unit further includes a template library sub - unit, and a variety of store templates are preset in the template library sub - unit for merchants to select and modify based on the store templates.

[0013] Preferably, the search algorithm unit further includes a search history analysis sub - unit, and the search history analysis sub - unit is used to analyze the user's search history and display products according to the user's search preferences.

[0014] After adopting the above technical solutions, compared with the prior art, the present invention improves the processing capacity of the e-commerce service platform under high concurrency through the load balancing algorithm, reasonably distributes user requests to different server nodes through the load balancing algorithm, and significantly improves the stability and response speed in high-concurrency scenarios; the encrypted transmission unit is paired with the data integrity verification subunit to build a comprehensive security protection for user data transmission, ensuring the integrity and security of the user's transmitted data and reducing data leakage; the store customization unit provides visualization and a template library, fully endowing merchants with the ability to independently create unique store styles; by running the basic word vector and deep learning algorithms in the search algorithm unit and combining with the analysis of the user's search history, the user's search intention is accurately understood to improve the user's search satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the modules of the mobile e-commerce service platform of the multi-user mall system of the present invention; Figure 2 is Figure 1 the unit schematic diagram of the server module in; Figure 3 is Figure 1 the unit schematic diagram of the user terminal module in; Figure 4 is Figure 1 the unit schematic diagram of the merchant terminal module in. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] The advantages of the present invention will be further elaborated below in conjunction with the drawings and specific embodiments.

[0017] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0018] The terms used in the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure. The singular forms "a", "the" and "said" used in the present disclosure and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0019] It should be understood that although the terms first, second, third, etc. may be used in this disclosure to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of this disclosure, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "when" or "while" or "in response to determining".

[0020] In the description of the present invention, it should be understood that the orientation or positional relationships indicated by the terms "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation of the present invention.

[0021] In the description of the present invention, unless otherwise specified and limited, it should be noted that the terms "mounted", "connected", "coupled" should be understood in a broad sense. For example, it may be a mechanical connection or an electrical connection, or may be the communication inside two elements, may be directly connected, or may be indirectly connected through an intermediate medium. For those of ordinary skill in the art, the specific meanings of the above terms may be understood according to specific circumstances.

[0022] In the subsequent description, the suffixes such as "module", "component" or "unit" used to represent elements are only for the convenience of describing the present invention, and they have no specific meaning in themselves. Therefore, "module" and "component" can be used interchangeably.

[0023] This embodiment provides a mobile e-commerce service platform for a multi-user mall system, including a user terminal module, a merchant terminal module, a server module, and a data storage module; wherein, the user terminal module is communicatively connected to the server module for transmitting the operation requests and feedback information of users; the merchant terminal module is communicatively connected to the server module for transmitting the business operations and data interactions of merchants; the data storage module continuously interacts with the server module for storing and / or reading data; the server module includes a load balancing unit, an encryption transmission unit, a store customization unit, and a search algorithm unit; wherein, the load balancing unit is used to allocate the requests of the user terminal module to different server nodes according to a preset load balancing algorithm, and the preset load balancing algorithm in the load balancing unit is: Wherein, is the probability that the th server node is allocated the request, is the The current load capacity of a server node is the total number of server nodes is the total request volume; the encryption transmission unit is used to encrypt the data transmitted between the client module and the server module; the store customization unit is used to provide a visual store customization tool for the merchant module; the search algorithm unit performs semantic analysis on the keywords input by the user based on word vectors and / or deep learning

[0024] Refer to Figures 1 to 4 As shown, in this embodiment, a mobile e-commerce service platform of a multi-user mall system will be described in detail. The service platform specifically includes a client module, a merchant module, a server module, and a data storage module. Among them, the client module and the server module include but are not limited to being connected in real-time communication through a network for transmitting the operation requests and feedback information of users. The merchant module is used to communicate with the server module through the network, including but not limited to, for merchants to perform business operations and data interactions. The data storage module continuously interacts with the server module to provide data storage and reading services to support the operation of the service platform business. Inside the server module, a load balancing unit, an encryption transmission unit, a store customization unit, and a search algorithm unit are preset. A load balancing algorithm is preset in the load balancing unit to reasonably allocate the requests of the client module to different server nodes. The load balancing algorithm preset in this embodiment is: where is the probability that the th server node is assigned the request is the current load capacity of the th server node is the total number of server nodes is the total request volume

[0025] The encryption transmission unit is used to encrypt the data transmitted between the user module and the server. The encryption method is the AES (Advanced Encryption Standard) encryption algorithm combined with the RSA (asymmetric encryption algorithm) for key exchange. The AES encryption algorithm has high efficiency and security, while RSA is used for key exchange to ensure the secure transmission of the encryption key. For example, in some embodiments, when the user terminal module inputs bank card information for payment, the encryption transmission unit first uses the RSA algorithm to exchange keys with the server module, and then uses the AES algorithm to encrypt the bank card information before transmission to prevent the information from being stolen and cracked during the transmission process. The store customization unit is used to endow merchants with a high degree of autonomy and creativity. Merchants can customize a visual store according to their needs. For example, in some embodiments, for a merchant selling self-retro style accessories, with the help of the visual store customization tool, the merchant can layout the store page in a left-right split column style, showing popular products on the left and new product recommendations on the right. The color is selected as a retro brown tone to create a nostalgic atmosphere, and the font is selected as a handwritten font with a retro charm to enhance the unique style of the store. In this embodiment, through personalized customization, the store can accurately fit its own brand positioning, effectively attract target consumers, and enhance the recognition and competitiveness of the store. The search algorithm unit is used to perform semantic analysis on the keywords input by the user based on word vectors and / or deep learning, and can deeply understand the semantic connotations behind the keywords input by the user. For example, when the user inputs "loose jeans", the algorithm can accurately match the products whose titles or descriptions contain the words "loose jeans", and can also include products with similar semantics such as "wide-leg jeans" and "casual jeans" in the search results based on word vector analysis.

[0026] In this embodiment, the above load balancing algorithm will be specifically described by way of example. For example, when using 10 server nodes ( = 10), when the load capacity of the 3rd server node is 50 (assuming the measurement unit of the load capacity is a certain task processing volume), the total load capacity of all server nodes is 500, and the total number of requests is 1000 times. According to the load balancing algorithm calculation, the probability that the 3rd server node is assigned requests times. This can avoid the situation where a single server node experiences performance degradation or crashes due to excessive load, and ensure the stability when multiple users access the service platform concurrently.

[0027] The client module includes a product browsing unit, a shopping cart unit, an order management unit, and a user review unit. Among them, the product browsing unit is used for users to browse products, the shopping cart unit is used for users to add the products in the product browsing unit to the shopping cart unit for storage, the order management unit is used for users to view, modify, and cancel product orders, and the user review unit is used to review products and / or merchants.

[0028] Refer to Figure 3 As shown, in this embodiment, the client module described in the above embodiment will be described in detail. The client module includes a product browsing unit, a shopping cart unit, an order management unit, and a user review unit. The product browsing unit is used to browse various products on the service platform. For example, after a user enters the service platform, through the product browsing unit, the user can browse products by product category (such as clothing, electronic products, etc.), popular recommendations, new product recommendations, etc., and view detailed information such as product pictures, prices, and descriptions. The shopping cart unit is used for users to add products of interest to the shopping cart unit when browsing products through the product browsing unit. For example, when a user takes a fancy to a piece of clothing through the product browsing unit, the user can add the product to the shopping cart by clicking the "Add to Cart" option. The order management unit is used for users to perform operations such as viewing, modifying, and canceling orders through this order management unit. For example, if a user finds that the delivery address is filled in incorrectly after placing an order, the user can enter the order management unit, find the corresponding order, and click the "Modify Address" option to modify the address. The user review unit is used for users to review products and merchant services after purchasing and using products. For example, after a user purchases a mobile phone and uses it for a period of time, the user can enter text reviews in the user review unit, such as "The mobile phone has good performance, runs smoothly, and the camera effect is also good", and can also select star ratings, etc.

[0029] The merchant module includes a product management unit, an order processing unit, a store data analysis unit, and a marketing and promotion unit. Among them, the product management unit is used for merchants to add, modify, and take off shelves of products, the order processing unit is used for merchants to process users' product orders, the store data analysis unit is used for merchants to analyze and calculate the product sales volume, visitor traffic, and conversion rate of the store, and the marketing and promotion unit is used to formulate and implement marketing and promotion strategies.

[0030] Refer to Figure 4As shown, in this embodiment, the above-mentioned merchant terminal module will be described in detail. The merchant terminal module includes a product management unit, an order processing unit, a store data analysis unit, and a marketing promotion unit. The product management unit is used for merchants to add, modify, and take off the shelf of product information in this product management unit. For example, when a merchant newly shelves a product, the merchant can click the "Add Product" option in the product management unit, fill in information such as the product name, description, price, inventory, etc., and upload product pictures. The order processing unit is used for merchants to process user orders in this order processing unit, including operations such as confirming orders and shipping. When a merchant receives a user's order, the merchant finds the order in the order processing unit, clicks the "Confirm Order" option, and then arranges for shipping. The store data analysis unit is used for merchants to analyze various data of the store through this store data analysis unit, such as product sales volume, visitor traffic, conversion rate, etc. For example, if a merchant finds through the store data analysis unit that the conversion rate of a certain product is low, the merchant can further analyze the reasons, such as the product price is too high, the description is not attractive enough, etc., and then make targeted adjustments. The marketing promotion unit is used for merchants to formulate and implement marketing promotion strategies using this unit, such as setting up coupons, full reduction activities, etc. For example, in order to attract more users to purchase products, a merchant sets up a coupon activity of "Reduce 50 yuan when the total amount reaches 200 yuan" in the marketing promotion unit and displays the coupon information on the store page.

[0031] The data storage module uses a distributed database to store user information, product information, order information, and merchant store information.

[0032] In this embodiment, the above-mentioned data storage unit will be described in detail. The data storage module uses a distributed database to store user information, product information, order information, and merchant store information. It should be noted that the distributed database disperses the storage of user information, product information, order information, and merchant store information on multiple nodes to improve the storage capacity and read-write performance of data. For example, there is a large amount of user information on the service platform, including user names, contact information, purchase records, etc. If a traditional centralized database is used, the storage and reading speed may slow down due to the large amount of data. By using a distributed database, these user information can be dispersed and stored on multiple database nodes. When it is necessary to read the information of a certain user, the data can be quickly obtained from the corresponding database node. Similarly, product information, order information, and merchant store information are also efficiently stored and managed through the distributed database.

[0033] The load balancing unit further includes a monitoring subunit. The monitoring subunit is used to monitor the load situation of server nodes in real time and dynamically adjust the parameters of the load balancing algorithm according to changes in the load situation.

[0034] In this embodiment, the above load balancing unit will be described in detail again. The load balancing unit further includes a monitoring subunit, which continuously collects the load data of server nodes, such as CPU usage rate, memory occupancy rate, network bandwidth, etc. When the CPU usage rate of a certain server node suddenly increases, the monitoring subunit will capture this change and notify the load balancing unit to dynamically adjust the parameters of the load balancing algorithm. For example, reduce the probability that the server node is assigned requests, and allocate more requests to server nodes with lower loads to ensure the stability of the entire service platform. It should be noted that the aforementioned "when the CPU usage rate of a certain server node suddenly increases" can be identified by setting a threshold. For example, when the usage rate of a certain CPU is set to 70%, when the usage rate exceeds 70%, it is determined that the CPU usage rate of the server node suddenly increases.

[0035] The encryption transmission unit further includes a data integrity verification subunit, which is used to verify the integrity of the transmitted data before and after data transmission.

[0036] In this embodiment, the encryption transmission unit will be described in detail again. The encryption transmission unit further includes a data integrity verification subunit, which is used to verify the integrity of the data before and after data transmission to ensure that the data has not been tampered with during the transmission process. Specifically, before data transmission, the data integrity verification unit will generate a hash value based on the content of the data (for example, using hash algorithms such as MD5 or SHA-256). After the data is transmitted to the receiving end, the hash value of the data is calculated again and compared with the hash value before transmission to determine the accuracy of the data through the hash values before and after. For example, when a user submits an order data in the user-side module, the data integrity verification subunit calculates the hash value of the order data as "abcdef123456" at the sending end. After the data is transmitted to the server module, the data integrity verification subunit on the server side calculates the hash value of the order data again. If it is also "abcdef123456", it means that the data has not been tampered with during the transmission process; if they are inconsistent, it means that the data may have been tampered with, and the server module will require the user side to resend the data.

[0037] The store customization unit further includes a template library subunit, in which a variety of store templates are preset for merchants to choose and modify based on the store templates.

[0038] In this embodiment, the store customization unit will be described in detail again. The template library subunit in the store customization unit contains various store templates of different styles and types, such as simple style, retro style, technology style, etc. For some merchants who are not very familiar with design, they can first select a preset template that suits their brand positioning and psychological expectations from the template library subunit. For example, a merchant operating an accessory service selects a preset template in the retro style, which already has basic elements such as corresponding page layouts and color combinations. Then, the merchant can, according to the characteristics of their own products, use the visualization tools in the store customization subunit to selectively modify some elements on the basis of this preset template, such as replacing some product displays and adjusting the text content, to create a store page that meets their own requirements.

[0039] The search algorithm unit also includes a search history analysis subunit, which is used to analyze the user's search history and display products according to the user's search preferences.

[0040] In this embodiment, the search algorithm unit will be described in detail again. The search algorithm unit also includes a search history analysis subunit, on which each search behavior of the user on the service platform is recorded. For example, user A searches for sports-related products such as "basketball shoes" and "sports knee pads" multiple times within a certain period. After analyzing these search history records, the search history analysis subunit determines that user A has a high interest in sports products. When user A logs in to the service platform again, the search algorithm sub-module will recommend more sports products such as "sports backpacks" and "sports water bottles" according to user A's search preferences on the product search result page or the home page.

[0041] It should be noted that the multi-user mall system mobile e-commerce service platform described in this embodiment also includes a customer service management module, which is used to handle issues such as consultations and complaints from users and merchants. The customer service management module includes an intelligent customer service unit and a manual customer service unit. The intelligent customer service unit is an AI robot that automatically answers common questions raised by users or merchants through natural language processing technology. For example, when a user consults "how to open the order logistics information", after identifying the question, the intelligent customer service unit automatically replies with the corresponding operation steps, such as "You can click on the corresponding order in the order management unit of the user end module to view the logistics information". The manual customer service unit involves customer service staff having conversations with users or merchants to handle complex problems that cannot be solved by the intelligent customer service. For example, when a merchant complains that a user returns goods maliciously, the service platform will transfer the complaint to the manual customer service unit for handling by the manual customer service.

[0042] It should also be noted that the mobile e-commerce service platform of the multi-user mall system described in the above embodiments further includes a data support module, which is used to analyze the operation data of the service platform and provide decision-making support for the operators of the service platform. The operation data includes user behavior data, commodity sales data, and merchant store data. Specifically, the data support module collects and analyzes various operation data of the service platform. For example, by analyzing user behavior data, it is found that the user activity is the highest between 8 pm and 10 pm. The operator of the service platform can arrange more promotional activities or push more commodity information during this time period based on this data. By analyzing commodity sales data, it is found that the sales volume of a certain type of commodity continues to grow in a certain region. The operator can consider increasing the promotion efforts of this type of commodity in this region, or cooperate with more relevant merchants to enrich the variety of this type of commodity. By analyzing merchant store data, the operation conditions of different types of merchant stores are understood, providing a basis for the service platform to formulate support policies for different merchants.

[0043] It should be noted that the embodiments of the present invention have good implementability and are not any form of limitation to the present invention. Any person skilled in the art may use the disclosed technical content to change or modify it into an equivalent effective embodiment. However, as long as it does not depart from the technical solution of the present invention, any modification, equivalent change, or modification made to the above embodiments based on the technical essence of the present invention still falls within the scope of the technical solution of the present invention.

Claims

1. A mobile e-commerce service platform for a multi-user mall system, characterized in that, It includes a client module, a merchant module, a server module, and a data storage module. Among them, the client module is communicatively connected to the server module and is used to transmit the user's operation requests and feedback information; the merchant module is communicatively connected to the server module and is used to transmit the merchant's business operations and data interactions; the data storage module continuously interacts with the server module for data storage and / or reading; the server module includes a load balancing unit, an encrypted transmission unit, a store customization unit, and a search algorithm unit. Among them, the load balancing unit is used to allocate the requests from the client module to different server nodes according to a preset load balancing algorithm, and the preset load balancing algorithm in the load balancing unit is: wherein, is the probability that the th server node is assigned to the request, is the current load capacity of the th server node, is the total number of the server nodes, is the total request volume; the encrypted transmission unit is used to encrypt the data transmitted between the client module and the server module; the store customization unit is used to provide a visual store customization tool for the merchant module; the search algorithm unit performs semantic analysis on the keywords input by the user based on word vectors and / or deep learning.

2. The mobile e-commerce service platform of the multi-user mall system according to claim 1, characterized in that, the client module includes a product browsing unit, a shopping cart unit, an order management unit, and a user evaluation unit. Among them, the product browsing unit is used for the user to browse products, the shopping cart unit is used for the user to add the products in the product browsing unit to the shopping cart unit for storage, the order management unit is used for the user to view, modify, and cancel product orders, and the user evaluation unit is used to evaluate the products and / or the merchant.

3. The mobile e-commerce service platform of the multi-user mall system according to claim 1, characterized in that, the merchant module includes a product management unit, an order processing unit, a store data analysis unit, and a marketing and promotion unit. Among them, the product management unit is used for the merchant to add, modify, and take off the shelves of products, the order processing unit is used for the merchant to process the user's product orders, the store data analysis unit is used for the merchant to analyze and calculate the product sales volume, visitor traffic, and conversion rate of the store, and the marketing and promotion unit is used to formulate and execute marketing and promotion strategies.

4. The mobile e-commerce service platform of the multi-user mall system according to claim 1, characterized in that, The data storage module uses a distributed database to store user information, product information, order information, and merchant store information.

5. The mobile e-commerce service platform of the multi-user mall system according to claim 1, characterized in that, The load balancing unit further includes a monitoring subunit, and the monitoring subunit is used to monitor the load conditions of the server nodes in real time and dynamically adjust the parameters of the load balancing algorithm according to the changes in the load conditions.

6. The mobile e-commerce service platform of the multi-user mall system according to claim 1, wherein The encrypted transmission unit further includes a data integrity verification subunit, and the data integrity verification subunit is used to verify the integrity of the transmitted data before and after data transmission.

7. The mobile e-commerce service platform of the multi-user mall system according to claim 1, wherein The store customization unit further includes a template library subunit, and a variety of store templates are preset in the template library subunit for the merchant to select and modify based on the store templates.

8. The mobile e-commerce service platform of the multi-user mall system according to claim 1, characterized in that, The search algorithm unit further includes a search history analysis subunit, and the search history analysis subunit is used to analyze the user's search history and display products according to the user's search preferences.

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