CN106202482B - Website optimization method and system based on user behavior analysis - Google Patents
Website optimization method and system based on user behavior analysis Download PDFInfo
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- 238000004458 analytical method Methods 0.000 title claims abstract description 57
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/18—File system types
- G06F16/182—Distributed file systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q30/02—Marketing; Price estimation or determination; Fundraising
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- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0641—Shopping interfaces
Abstract
The invention discloses a website optimization method and a website optimization system based on user behavior analysis, wherein the website optimization method comprises the following steps: collecting user behavior data from the e-commerce server; storing the user behavior data to a distributed file system; processing the user behavior data through a distributed algorithm, extracting dimension information, and establishing a user behavior analysis model corresponding to the dimension information; analyzing the user behavior data through the user behavior analysis model, acquiring behavior commonality data of each user, and optimizing a corresponding website according to the behavior commonality data; therefore, in the embodiment, a storage and calculation framework is based on a distributed mode, a user behavior mining and analyzing platform is based on the user behavior, the user behavior is analyzed, and user preference, website optimization rules and modes are obtained from data analysis, so that the website optimization is really realized by the user and is used by the user on the basis of improving user experience.
Description
Technical Field
The invention relates to the technical field of website optimization, in particular to a website optimization method and system based on user behavior analysis.
Background
At present, with the development of society, the application of the internet is more and more extensive, and the main mode that a user contacts the internet is through a website, if the design of the website conforms to the use habit of the user, the more users can use the website to surf the internet correspondingly, and therefore, whether the website is optimized reasonably determines the use rate of the user.
Therefore, how to optimize the website and bring better experience to the user is a problem to be solved by those skilled in the art.
Disclosure of Invention
The invention aims to provide a website optimization method and a website optimization system based on user behavior analysis so as to realize website optimization.
In order to achieve the above purpose, the embodiment of the present invention provides the following technical solutions:
a website optimization method based on user behavior analysis comprises the following steps:
collecting user behavior data from the e-commerce server;
storing the user behavior data to a distributed file system;
processing the user behavior data through a distributed algorithm, extracting dimension information, and establishing a user behavior analysis model corresponding to the dimension information;
and analyzing the user behavior data through the user behavior analysis model, acquiring behavior commonality data of each user, and optimizing a corresponding website according to the behavior commonality data.
Analyzing the user behavior data through the user behavior analysis model, and acquiring behavior commonality data of each user comprises:
and stripping the behavior commonalities of all users from the user behavior data through the user behavior analysis model to generate regular behavior commonalities data.
Analyzing the user behavior data through the user behavior analysis model to obtain behavior commonality data of each user, wherein the behavior commonality data comprises:
analyzing the user behavior data through the user behavior analysis model, acquiring browsing mode data of each user access page, analyzing data rules according to the browsing mode data, and generating behavior commonality data.
Optimizing the corresponding website according to the behavior commonality data, wherein the optimizing comprises the following steps:
analyzing the behavior commonality data, generating improved information of the performance and the organization structure of the website, and optimizing the website through the improved information.
Optimizing the corresponding website according to the behavior commonality data, wherein the optimizing comprises the following steps:
analyzing the behavior commonality data, generating personalized improvement information, and optimizing the website according to the personalized improvement information.
A website optimization system based on user behavior analysis, comprising:
the data acquisition module is used for collecting user behavior data from the e-commerce server;
the storage module is used for storing the user behavior data to a distributed file system;
the model establishing module is used for processing the user behavior data through a distributed algorithm, extracting dimension information and establishing a user behavior analysis model corresponding to the dimension information;
and the optimization module is used for analyzing the user behavior data through the user behavior analysis model, acquiring the behavior commonality data of each user and optimizing the corresponding website according to the behavior commonality data.
The optimization module strips the behavior commonalities of all users from the user behavior data through the user behavior analysis model to generate regular behavior commonalities data.
The optimization module analyzes the user behavior data through the user behavior analysis model, acquires browsing mode data of each user access page, and analyzes data rules according to the browsing mode data to generate behavior commonality data.
Wherein the optimization module comprises:
and the first optimization unit is used for analyzing the behavior commonality data, generating improved information of the performance and the organization structure of the website, and optimizing the website through the improved information.
Wherein the optimization module comprises:
and the second optimization unit is used for analyzing the behavior commonality data, generating personalized improvement information and optimizing the website according to the personalized improvement information.
According to the scheme, the website optimization method and system based on the user behavior analysis provided by the embodiment of the invention comprise the following steps: collecting user behavior data from the e-commerce server; storing the user behavior data to a distributed file system; processing the user behavior data through a distributed algorithm, extracting dimension information, and establishing a user behavior analysis model corresponding to the dimension information; analyzing the user behavior data through the user behavior analysis model, acquiring behavior commonality data of each user, and optimizing a corresponding website according to the behavior commonality data; therefore, in the embodiment, a storage and calculation framework is based on a distributed mode, a user behavior mining and analyzing platform is based on the user behavior, the user behavior is analyzed, and user preference, website optimization rules and modes are obtained from data analysis, so that the website optimization is really realized by the user and is used by the user on the basis of improving user experience.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a website optimization method based on user behavior analysis according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating website optimization according to an embodiment of the present invention;
fig. 3 is a block diagram of a website optimization system based on user behavior analysis according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention discloses a website optimization method and a website optimization system based on user behavior analysis, which are used for realizing optimization of a website.
Referring to fig. 1, a website optimization method based on user behavior analysis provided by the embodiment of the present invention includes:
s101, collecting user behavior data from a E-commerce server;
s102, storing the user behavior data to a distributed file system;
specifically, in this embodiment, the HDFS file system storage structure provides a high-throughput data access and fault-tolerant data storage function based on the structural features of mass data and high fault tolerance.
S103, processing the user behavior data through a distributed algorithm, extracting dimension information, and establishing a user behavior analysis model corresponding to the dimension information;
specifically, in this embodiment, data is processed through a hadoop framework, and a distributed algorithm is fully applied, so that a data result is obtained quickly and efficiently.
Specifically, in order to increase the precision influence of the website operation optimization strategy in time in this embodiment, according to the e-commerce layout or the precise advertisement delivery effect, the operation cost is reduced, the operation efficiency is improved, and the return on investment is increased, a specific behavior analysis model needs to be set by analyzing the dimension information of a specific situation, and data is analyzed according to the model.
And S104, analyzing the user behavior data through the user behavior analysis model, acquiring behavior commonality data of each user, and optimizing a corresponding website according to the behavior commonality data.
Specifically, the behavior analysis model acquires data, common behavior of each user is stripped from the data, and a rule is found from the common behavior, so that a website is optimized for an e-commerce, and the service level is improved more quickly and accurately.
Analyzing the user behavior data through the user behavior analysis model, and acquiring behavior commonality data of each user comprises:
and stripping the behavior commonalities of all users from the user behavior data through the user behavior analysis model to generate regular behavior commonalities data.
Analyzing the user behavior data through the user behavior analysis model to obtain behavior commonality data of each user, wherein the behavior commonality data comprises:
analyzing the user behavior data through the user behavior analysis model, acquiring browsing mode data of each user access page, analyzing data rules according to the browsing mode data, and generating behavior commonality data.
Optimizing the corresponding website according to the behavior commonality data, wherein the optimizing comprises the following steps:
analyzing the behavior commonality data, generating improved information of the performance and the organization structure of the website, and optimizing the website through the improved information.
Optimizing the corresponding website according to the behavior commonality data, wherein the optimizing comprises the following steps:
analyzing the behavior commonality data, generating personalized improvement information, and optimizing the website according to the personalized improvement information.
Specifically, when big data is processed in this embodiment, distributed processing is adopted, dimensionality is extracted, user behavior analysis is obtained by adopting a data mining method, browsing modes of pages accessed by users are found by analyzing user data, data rules are analyzed and researched, performance and organization structures of websites are improved, personalized services are provided while the websites are optimized, and the value of the e-commerce is achieved.
Specifically, the website optimization method based on user behavior analysis in the scheme fully considers the characteristic of determining the website optimization strategy by the user behavior, and adopts HDFS file system storage, hadoop architecture and mathematical modeling and data analysis methods, so that massive data are processed, the processing time is greatly shortened, the data timeliness is met, the user behavior is further accurately grasped, the efficiency of website optimization is greatly improved, time and labor waste caused by other factors are avoided, and the effect of achieving twice the result with half the effort is achieved. Referring to fig. 2, an optimization flowchart provided in this embodiment is shown.
In the following, the website optimization system provided by the embodiment of the present invention is introduced, and the website optimization system described below and the website optimization method described above may be referred to each other.
Referring to fig. 3, a website optimization system based on user behavior analysis provided in an embodiment of the present invention includes:
the data acquisition module 100 is used for collecting user behavior data from the e-commerce server;
a storage module 200, configured to store the user behavior data in a distributed file system;
the model establishing module 300 is configured to process the user behavior data through a distributed algorithm, extract dimension information, and establish a user behavior analysis model corresponding to the dimension information;
and the optimization module 400 is configured to analyze the user behavior data through the user behavior analysis model, obtain behavior commonality data of each user, and optimize a corresponding website according to the behavior commonality data.
Based on the technical scheme, the optimization module strips the behavior commonalities of all users from the user behavior data through the user behavior analysis model to generate regular behavior commonalities data.
Based on the technical scheme, the optimization module analyzes the user behavior data through the user behavior analysis model, acquires browsing mode data of each user access page, and analyzes data rules according to the browsing mode data to generate behavior commonality data.
Based on the above technical solution, the optimization module includes:
and the first optimization unit is used for analyzing the behavior commonality data, generating improved information of the performance and the organization structure of the website, and optimizing the website through the improved information.
Based on the above technical solution, the optimization module includes:
and the second optimization unit is used for analyzing the behavior commonality data, generating personalized improvement information and optimizing the website according to the personalized improvement information.
The embodiment of the invention provides a website optimization method and a website optimization system based on user behavior analysis, which comprise the following steps: collecting user behavior data from the e-commerce server; storing the user behavior data to a distributed file system; processing the user behavior data through a distributed algorithm, extracting dimension information, and establishing a user behavior analysis model corresponding to the dimension information; analyzing the user behavior data through the user behavior analysis model, acquiring behavior commonality data of each user, and optimizing a corresponding website according to the behavior commonality data;
therefore, in the embodiment, the extension and popularization of user data analysis and deep application are realized on the basis of a distributed storage and calculation framework and a user behavior mining analysis platform. The main mode that people contact the internet is through websites, whether the website optimization is reasonable or not determines the utilization rate of users, the websites can be optimized better by analyzing the user behaviors, the popularity of the websites is improved, and the electronic commerce is benefited. According to the scheme, the user preference, the website optimization rule and the mode obtained from data analysis are based on improvement of user experience, so that the website optimization really takes place for the user and is used for the user, and a win-win mode of the user and the e-commerce is obtained.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (2)
1. A website optimization method based on user behavior analysis is characterized by comprising the following steps:
collecting user behavior data from the e-commerce server;
storing the user behavior data to a distributed file system;
processing the user behavior data through a distributed algorithm, extracting dimension information, and establishing a user behavior analysis model corresponding to the dimension information;
analyzing the user behavior data through the user behavior analysis model, acquiring behavior commonality data of each user, and optimizing a corresponding website according to the behavior commonality data; the browsing mode of a page accessed by a user is discovered through analyzing the user behavior data, so that the data rule is analyzed and researched, the performance and the organization structure of a website are improved, and personalized service is provided;
analyzing the user behavior data through the user behavior analysis model, and acquiring behavior commonality data of each user comprises:
stripping the behavior commonalities of all users from the user behavior data through the user behavior analysis model to generate regular behavior commonalities data;
analyzing the user behavior data through the user behavior analysis model, acquiring browsing mode data of each user access page, analyzing a data rule according to the browsing mode data, and generating behavior commonality data;
optimizing the corresponding website according to the behavior commonality data, wherein the optimizing comprises the following steps:
analyzing the behavior commonality data, generating improved information of the performance and the organization structure of the website, and optimizing the website through the improved information;
analyzing the behavior commonality data, generating personalized improvement information, and optimizing the website according to the personalized improvement information.
2. A website optimization system based on user behavior analysis, comprising:
the data acquisition module is used for collecting user behavior data from the e-commerce server;
the storage module is used for storing the user behavior data to a distributed file system;
the model establishing module is used for processing the user behavior data through a distributed algorithm, extracting dimension information and establishing a user behavior analysis model corresponding to the dimension information;
the optimization module is used for analyzing the user behavior data through the user behavior analysis model, acquiring behavior commonality data of each user and optimizing a corresponding website according to the behavior commonality data; the optimization module is specifically used for discovering the browsing mode of a page accessed by a user through analysis of user behavior data, further analyzing and researching data rules, improving the performance and organization structure of a website and providing personalized services;
the optimization module strips the behavior commonalities of all users from the user behavior data through the user behavior analysis model to generate regular behavior commonalities data;
the optimization module analyzes the user behavior data through the user behavior analysis model, acquires browsing mode data of each user access page, and analyzes data rules according to the browsing mode data to generate behavior commonality data;
the optimization module comprises:
the first optimization unit is used for analyzing the behavior commonality data, generating improved information of the performance and the organization structure of the website and optimizing the website through the improved information;
the optimization module comprises:
and the second optimization unit is used for analyzing the behavior commonality data, generating personalized improvement information and optimizing the website according to the personalized improvement information.
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| CN106844720A (en) * | 2017-02-09 | 2017-06-13 | 郑州云海信息技术有限公司 | A kind of method and device for searching for data processing |
| CN108734437A (en) * | 2017-04-13 | 2018-11-02 | 普天信息技术有限公司 | A kind of operation system optimization method and device |
| CN107679170A (en) * | 2017-09-29 | 2018-02-09 | 肖丽媛 | A kind of web information flow method and system based on user behavior analysis |
| CN107908726A (en) * | 2017-11-14 | 2018-04-13 | 山东浪潮商用系统有限公司 | A kind of social technology close coupling frame and its application method |
| RU2689816C2 (en) | 2017-11-21 | 2019-05-29 | ООО "Группа АйБи" | Method for classifying sequence of user actions (embodiments) |
| CN109165338A (en) * | 2018-07-04 | 2019-01-08 | 华迪计算机集团有限公司 | A kind of Information Efficiency analysis method and system |
| EP3842968B1 (en) | 2019-02-27 | 2024-04-24 | "Group IB" Ltd. | Method and system for identifying a user according to keystroke dynamics |
| SG11202101658UA (en) | 2019-04-10 | 2021-03-30 | Group Ib Ltd | Method and system of user identification by a sequence of opened user interface windows |
| CN110555170B (en) * | 2019-09-12 | 2023-07-07 | 天元大数据信用管理有限公司 | System and method for optimizing user experience |
| CN114817225B (en) * | 2022-05-25 | 2023-03-28 | 深圳市晟晟科技有限公司 | User behavior data processing method and system based on big data e-commerce optimization |
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