Digital cloud platform for creative design industry and research and development method thereof

Abstract

The invention relates to the technical field of computers and information, and discloses a digital cloud platform for the creative design industry and a research and development method thereof, and the method comprises the following steps: firstly, employing a high-performance distributed memory cache server Memcached, and employing an optimization algorithm to cache a database query result; secondly, collecting and storing a large amount of user and transaction data, and regularly dumping the data to an analysis server for business statistics and analysis; then, by utilizing a mobile internet technology, realizing position-based real-time message pushing, and providing real-time communication, friend-making recommendation and team establishment services between talents and teams; and finally, a personalized service concept and telescopic elastic cloud computing are adopted, and data storage and online interactive access of large-scale users are supported. By dynamically adjusting the resource allocation, the stability and expandability of the platform are improved, the functionality is enhanced, the user experience is greatly improved, and an efficient and intelligent digital working environment is provided for the creative design industry.

Description

Technical Field

[0001] The present invention relates to the field of computer and information technology, and in particular to a digital cloud platform for the creative design industry and a research and development method thereof. Background Art

[0002] The traditional creative design industry faces problems such as scattered resources, information asymmetry, and low collaboration efficiency. Designers often need to spend a lot of time and energy to find suitable projects and partners, and it is difficult for project parties to quickly find designers who meet the requirements. In addition, with the intensification of competition in the creative design industry, designers need to continuously improve their design and innovation capabilities to meet market demand. In order to meet these challenges, the creative design digital cloud platform came into being. This platform provides an efficient, convenient, and open communication and cooperation environment for the creative design industry by integrating information from multiple parties such as designers, project parties, and resources. Designers can display their works on the platform and find suitable projects and partners; project parties can also publish project requirements on the platform and find suitable designers to cooperate.

[0003] However, the existing creative design digital cloud platform has certain deficiencies in processing large-scale data. First, with the increase in the number of platform users and the growth of business volume, the amount of data that the platform needs to process is also increasing. Existing data processing technologies often cannot meet the needs of such large-scale data processing, resulting in slow data processing speed, affecting the platform's response speed and user experience; secondly, when a large number of users access the platform at the same time, the platform's response speed will drop significantly, and even the system will crash, resulting in the inability to process user requests in a timely manner; finally, the existing platform has deficiencies in recommendation algorithms and real-time message push. The recommendation algorithm may not be able to accurately capture the user's real-time needs and preference changes, and the real-time message push may not be able to accurately identify the designer's real-time location and status, resulting in the push information not being timely and accurate. Summary of the invention

[0004] In order to solve the problems of poor data processing effect, inaccurate recommendation algorithm, untimely real-time recommendation, etc. in the creative design cloud platform provided by the prior art, the present invention provides a digital cloud platform for the creative design industry and a research and development method thereof.

[0005] The technical solution of the present invention is as follows:

[0006] The present invention provides a method for developing a digital cloud platform for the creative design industry, comprising the following steps:

[0007] S1: Uses high-performance distributed memory cache server Memcached and uses optimized algorithms to cache database query results;

[0008] S2: collects and stores a large amount of user data and transaction data, and regularly dumps the data to the analysis server for various business statistics and analysis;

[0009] S3: Using mobile Internet technology, we can push real-time transaction information based on location, provide real-time messaging, friendship recommendations, team building and recommendation services between talents and teams;

[0010] S4: Adopts personalized service concepts and scalable elastic cloud computing to support data storage and online interactive access for large-scale users.

[0011] Furthermore, the S1 includes:

[0012] A read-write separation strategy is adopted to map the database's read operations and write operations to different database servers respectively.

[0013] Further, the S2 includes:

[0014] Using data mining and recommendation technology, it provides automated task recommendation and team recommendation functions based on users' social interaction and transaction activity data.

[0015] Further, the S3 includes:

[0016] According to user weights, select the user subset with the highest matching weight to push task recommendations and team recommendation information in a timely manner.

[0017] Further, the S4 includes:

[0018] Provides automated task and team recommendation functions based on user location, transaction behavior tracking, and activity analysis.

[0019] The present invention also provides a digital cloud platform for the creative design industry, comprising:

[0020] a. High-concurrency cache and data read-write separation module, which is used to reduce the number of database accesses by using a high-performance distributed memory cache server, and by combining the read-write separation strategy, the database read operations and write operations are mapped to different database servers respectively;

[0021] b. Data analysis module based on big data, used to collect and store large amounts of user data and transaction data, and regularly dump data to the analysis server for various business statistics and analysis;

[0022] c. A real-time message push module based on location and recommendation, which is used for real-time message push of transaction information based on location, and provides real-time message communication, friend recommendation, team building and recommendation services for talents and teams;

[0023] d. A large-scale data storage and processing module based on cloud computing is used to adopt personalized service concepts and scalable elastic cloud computing, support data storage and online interactive access for large-scale users, and provide automated task recommendation and team recommendation functions.

[0024] Furthermore, in the high-concurrency cache and data read-write separation module, Memcached is used as a distributed memory cache server, and an optimized algorithm is used to cache database query results.

[0025] Furthermore, in the data analysis module based on big data, data mining and recommendation technology is used to provide automated task recommendation and team recommendation functions based on users' social interaction and transaction activity data, and combined with Sphinx retrieval technology to achieve high-speed search and good relevance ranking.

[0026] Furthermore, in the location and recommendation-based real-time message push module, a comprehensive user weight is also used to select a user subset with the highest matching weight to push task recommendations and team recommendation information in a timely manner.

[0027] Furthermore, in the large-scale data storage and processing module based on cloud computing, scalable elastic cloud computing resources are used to dynamically adjust resource allocation according to user needs.

[0028] The beneficial effects of the present invention include at least:

[0029] (1) By adopting Memcached and read-write separation technology, the data processing speed and platform response capability are significantly improved, solving the response delay problem under large-scale data volume;

[0030] (2) Combining data mining and user behavior analysis, it provides automated task and team recommendations, improving the accuracy of recommendations and user satisfaction;

[0031] (3) Utilizing mobile Internet technology and user weight analysis, real-time message push based on location and preferences is achieved, which enhances user interaction and platform activity;

[0032] (4) The use of cloud computing technology supports large-scale data storage and online interaction, dynamically adjusts resource allocation, improves the stability and scalability of the platform, enhances the functionality of the platform, and greatly enhances the user experience, providing the creative design industry with a more efficient and intelligent digital working environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 A data processing flow diagram of a digital cloud platform development method for the creative design industry is disclosed.

[0034] Figure 2 A Sphinx retrieval process diagram of a digital cloud platform development method for the creative design industry is disclosed. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] like Figure 1 The data processing diagram shown in the figure, the present invention provides a digital cloud platform development method for the creative design industry, comprising the following steps:

[0037] S1: Uses high-performance distributed memory cache server Memcached and uses optimized algorithms to cache database query results, reducing the number of database accesses to increase the speed and scalability of dynamic Web applications;

[0038] At the same time, the read-write separation strategy is adopted to map the database read operations and write operations to different database servers respectively, so as to effectively reduce the database pressure and IO pressure;

[0039] S2: Collects and stores a large amount of user data and transaction data. Based on this data, the website backend regularly dumps data to the analysis server for various business statistics and analysis;

[0040] At the same time, data mining and recommendation technology are used to provide automated task recommendation and team recommendation functions based on users' social interaction and transaction activity data, optimizing the release and tasks of website tasks;

[0041] Combination Figure 2 As shown, by using Sphinx for retrieval, high-speed search, good relevance ranking can be obtained, and the server operation load can be reduced, thereby improving the system response speed;

[0042] S3: Using mobile Internet technology and real-time message push technology based on location-based transaction information, it provides real-time message communication, friend recommendation, team building and recommendation services between talents and teams;

[0043] In addition to the message push technology based on social network events, it also adopts comprehensive user weights to select the user subset with the highest matching weights to push task recommendations and team recommendation information in a timely manner, thereby improving the platform's usability and the conversion rate of users taking on tasks;

[0044] S4: Adopts personalized service concept and scalable elastic cloud computing to support data storage and online interactive access for large-scale users;

[0045] It also provides automated task and team recommendation functions based on the tracking and activity analysis of user behaviors such as location and transactions, and optimizes the publishing and acceptance of website tasks.

[0046] The present invention also provides a digital cloud platform for the creative design industry, comprising:

[0047] a. High-concurrency cache and data read-write separation module, which is used to reduce the number of database accesses by using a high-performance distributed memory cache server, and by combining the read-write separation strategy, the database read operations and write operations are mapped to different database servers respectively;

[0048] b. Data analysis module based on big data, used to collect and store large amounts of user data and transaction data, and regularly dump data to the analysis server for various business statistics and analysis;

[0049] c. A real-time message push module based on location and recommendation, which is used for real-time message push of transaction information based on location, and provides real-time message communication, friend recommendation, team building and recommendation services for talents and teams;

[0050] d. A large-scale data storage and processing module based on cloud computing is used to adopt personalized service concepts and scalable elastic cloud computing, support data storage and online interactive access for large-scale users, and provide automated task recommendation and team recommendation functions.

[0051] Furthermore, in the high-concurrency cache and data read-write separation module, Memcached is used as a distributed memory cache server, and an optimized algorithm is used to cache database query results.

[0052] Furthermore, in the data analysis module based on big data, data mining and recommendation technology is used to provide automated task recommendation and team recommendation functions based on users' social interaction and transaction activity data, and combined with Sphinx retrieval technology to achieve high-speed search and good relevance ranking.

[0053] Furthermore, in the location and recommendation-based real-time message push module, a comprehensive user weight is also used to select a user subset with the highest matching weight to push task recommendations and team recommendation information in a timely manner.

[0054] Furthermore, in the large-scale data storage and processing module based on cloud computing, scalable elastic cloud computing resources are used to dynamically adjust resource allocation according to user needs.

[0055] The implementation of the present invention includes:

[0056] First, deploy a high-performance distributed memory cache server Memcached and apply optimization algorithms to cache database query results.

[0057] This step aims to reduce the number of direct accesses to the database to improve the response speed of dynamic Web applications and the scalability of the system. At the same time, the database read-write separation strategy is implemented to allocate database read and write operations to different database servers, effectively reducing database and IO pressure;

[0058] Next, the platform collects and stores a large amount of user data and transaction data, and regularly dumps the data to the analysis server for business statistics and analysis;

[0059] Using data mining and recommendation technology, based on users' social interaction and transaction activity data, we provide automated task recommendation and team recommendation functions to optimize the release and acceptance of website tasks;

[0060] Then, using mobile Internet technology, we can push real-time message of transaction information based on location, and provide real-time message communication, friend recommendation, team formation and recommendation services between talents and teams;

[0061] By comprehensively considering user weights, we select the user subset with the highest matching weights and push task recommendations and team recommendation information in a timely manner.

[0062] Finally, it adopts personalized service concepts and scalable elastic cloud computing to support data storage and online interactive access for large-scale users;

[0063] Based on the user's location, transaction behavior tracking and activity analysis, it provides automated task recommendation and team recommendation functions to optimize the publishing and acceptance of website tasks.

[0064] After the implementation of the present invention, the data processing speed is significantly improved and the platform response capability is enhanced, effectively solving the delay problem under large-scale data volume. At the same time, by combining data mining and user behavior analysis, the accuracy of task and team recommendations is improved, thereby enhancing user satisfaction. By using mobile Internet technology and user weight analysis, real-time message push based on location and preference is realized, which not only enhances user interaction, but also improves the activity of the platform.

[0065] In addition, the use of cloud computing technology supports large-scale data storage and online interaction, and dynamically adjusts resource allocation, thereby improving the stability and scalability of the platform. Overall, the comprehensive application of these technologies not only improves the functionality of the platform, but also greatly enhances the user experience, providing a more efficient and intelligent digital working environment for the creative design industry.

[0066] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for developing a digital cloud platform for the creative design industry, characterized in that: The following steps are involved: S1: Uses high-performance distributed memory cache server Memcached and uses optimized algorithms to cache database query results; S2: collects and stores a large amount of user data and transaction data, and regularly dumps the data to the analysis server for various business statistics and analysis; S3: Using mobile Internet technology, we can push real-time transaction information based on location, provide real-time messaging, friendship recommendations, team building and recommendation services between talents and teams; S4: Adopts personalized service concepts and scalable elastic cloud computing to support data storage and online interactive access for large-scale users.

2. The method for developing a digital cloud platform for the creative design industry according to claim 1, characterized in that: The S1 includes: A read-write separation strategy is adopted to map the database's read operations and write operations to different database servers respectively.

3. The method for developing a digital cloud platform for the creative design industry according to claim 1, characterized in that: The S2 includes: Using data mining and recommendation technology, it provides automated task recommendation and team recommendation functions based on users' social interaction and transaction activity data.

4. The method for developing a digital cloud platform for the creative design industry according to claim 1, characterized in that: The S3 includes: According to user weights, select the user subset with the highest matching weight to push task recommendations and team recommendation information in a timely manner.

5. The method for developing a digital cloud platform for the creative design industry according to claim 1, characterized in that: The S4 includes: Provides automated task and team recommendation functions based on user location, transaction behavior tracking, and activity analysis.

6. A digital cloud platform for the creative design industry, characterized by: include: a. High-concurrency cache and data read-write separation module, which is used to reduce the number of database accesses by using a high-performance distributed memory cache server, and by combining the read-write separation strategy, the database read operations and write operations are mapped to different database servers respectively; b. Data analysis module based on big data, used to collect and store large amounts of user data and transaction data, and regularly dump data to the analysis server for various business statistics and analysis; c. A real-time message push module based on location and recommendation, which is used for real-time message push of transaction information based on location, and provides real-time message communication, friend recommendation, team building and recommendation services for talents and teams; d. A large-scale data storage and processing module based on cloud computing is used to adopt personalized service concepts and scalable elastic cloud computing, support data storage and online interactive access for large-scale users, and provide automated task recommendation and team recommendation functions.

7. The digital cloud platform for the creative design industry according to claim 6, characterized in that: In the high-concurrency cache and data read-write separation module, Memcached is used as a distributed memory cache server, and an optimized algorithm is used to cache database query results.

8. The digital cloud platform for the creative design industry according to claim 6, characterized in that: The data analysis module based on big data adopts data mining and recommendation technology to provide automated task recommendation and team recommendation functions based on users' social interaction and transaction activity data, and combines Sphinx retrieval technology to achieve high-speed search and good relevance ranking.

9. The digital cloud platform for the creative design industry according to claim 6, characterized in that: In the location and recommendation-based real-time message push module, a comprehensive user weight is also used to select a user subset with the highest matching weight to push task recommendations and team recommendation information in a timely manner.

10. The digital cloud platform for the creative design industry according to claim 6, characterized in that: In the large-scale data storage and processing module based on cloud computing, scalable elastic cloud computing resources are used to dynamically adjust resource allocation according to user needs.

Images