CN102479192B - The system and method that user behavior pattern analysis is carried out by E-book reader - Google Patents
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Abstract
本发明公开了一种通过电子书阅读器进行用户行为模式分析的系统和方法，该系统包括电子书阅读器、行为模式分析服务器；其实现方法包括：1)绑定电子书阅读器与电子书内容提供网站的账号；2)将电子书日志数据传到日志数据收集模块；3)在日志数据收集模块中，将电子书日志数据与网站日志数据整合；4)日志数据分析模块读取数据，进行预处理和分析；5)分析结果记录模块将产生的分析结果反馈给电子书阅读器和电子书内容提供网站；6)电子书内容提供商根据分析结果进行产品优化和调整运营策略，对电子书用户进行个性化内容和服务的推送。本发明可以给用户带来良好的体验，而电子书内容提供商也能获得更多利益。
The invention discloses a system and method for analyzing user behavior patterns through an electronic book reader. The system includes an electronic book reader and a behavior pattern analysis server; the implementation method includes: 1) Binding the electronic book reader and the electronic book The account number of the content providing website; 2) the e-book log data is transmitted to the log data collection module; 3) in the log data collection module, the e-book log data is integrated with the website log data; 4) the log data analysis module reads the data, Perform preprocessing and analysis; 5) The analysis result recording module feeds back the generated analysis results to the e-book reader and the e-book content providing website; 6) The e-book content provider optimizes the product and adjusts the operation strategy according to the analysis results, Book users to push personalized content and services. The invention can bring good experience to the user, and the electronic book content provider can also obtain more benefits.
Description
技术领域technical field
本发明涉及一种用户行为模式分析的系统和方法，特别是涉及一种通过电子书阅读器进行用户行为模式分析的系统和方法。The present invention relates to a system and method for analyzing user behavior patterns, in particular to a system and method for analyzing user behavior patterns through an electronic book reader.
背景技术Background technique
随着计算机技术和信息技术的发展，信息的增长速度呈现指数上升，信息爆炸已经成为当今IT领域面临的重要问题之一。互联网的各种应用之间的竞争也更加激烈。如何从海量数据中快速有效的获得有价值的信息并用于企业运营是一个亟需解决的问题。在互联网产品电子书阅读器中，也需要有从海量的数据中提取知识和信息的系统和方法。With the development of computer technology and information technology, the growth rate of information is increasing exponentially, and the information explosion has become one of the important problems facing the IT field today. The competition among various applications of the Internet is also more intense. How to quickly and effectively obtain valuable information from massive data and use it for business operations is an urgent problem to be solved. In the Internet product e-book reader, there is also a need for a system and method for extracting knowledge and information from massive data.
在电子书阅读器上，目前部分电子书服务提供商关注于如何能够在最短的时间内向用户推送合适的书籍信息和其他广告信息。但是在产品改进、运营策略调整等方面，用户行为模式分析应用的很少。如何在这方面做出改进，提高服务质量，了解电子书阅读器使用者在电子书阅读器和网站上的活动情况，如何从庞大用户群的数据海洋中挖掘客户活动信息，让服务提供商可以及时的调整运营策略，让用户可以得到更好的服务，成为目前电子书领域需要尽快解决的问题。On e-book readers, some e-book service providers are currently focusing on how to push appropriate book information and other advertising information to users in the shortest possible time. However, in terms of product improvement and operational strategy adjustment, user behavior pattern analysis is rarely applied. How to make improvements in this area, improve service quality, understand the activities of e-book reader users on e-book readers and websites, and how to mine customer activity information from the data ocean of a huge user group, so that service providers can Timely adjustment of operation strategies so that users can get better services has become a problem that needs to be solved as soon as possible in the field of e-books.
利用对电子书阅读器的日志文件进行数据挖掘和分析，可以掌握用户历史信息，从中挖掘出用户的行为模式并进行分析，行为模式表明了用户的个性特征，兴趣爱好，通过对海量用户的行为模式分析，可以有目的的优化电子书阅读器设计，使电子书能够适应用户的阅读需求和使用习惯，从而提高用户体验，为用户提供更好更多的服务，通过多种不同组织形式的分析报表，得知电子书阅读器的运营情况，为管理者提供运营管理策略信息，这对管理者和用户本身都有重要的意义。Using data mining and analysis on the log files of e-book readers, we can grasp the user's historical information, dig out the user's behavior pattern and analyze it. Pattern analysis can optimize the design of e-book readers purposefully, so that e-books can adapt to users' reading needs and usage habits, thereby improving user experience and providing users with better and more services. Through the analysis of various organizational forms Reports, knowing the operation status of e-book readers, and providing managers with operational management strategy information, which is of great significance to managers and users themselves.
现有的电子书阅读器，因为绝大部分厂商不提供内容，所以很少做这方面的工作。现有方法基本上没有在电子书阅读器上进行应用。对电子书阅读器的用户行为模式做分析，比一般的web用户行为模式分析更为复杂和繁琐，牵扯到数据的传输、加密、同步等。Existing e-book readers rarely do this work because most manufacturers do not provide content. Existing methods are basically not applied to e-book readers. The analysis of user behavior patterns of e-book readers is more complex and cumbersome than the analysis of general web user behavior patterns, involving data transmission, encryption, synchronization, etc.
发明内容Contents of the invention
本发明要解决的技术问题是提供一种通过电子书阅读器进行用户行为模式分析的系统和方法。通过该系统能够对电子书阅读器用户行为进行采集和整理，获得和分析电子书阅读器用户的行为，并在分析结果的基础上，为电子书内容提供商提供产品优化、运营策略调整、价格调整的依据及对电子书用户进行个性化内容和服务的推送。The technical problem to be solved by the present invention is to provide a system and method for analyzing user behavior patterns through an electronic book reader. The system can collect and sort out the behavior of e-book reader users, obtain and analyze the behavior of e-book reader users, and provide e-book content providers with product optimization, operation strategy adjustment, and price based on the analysis results. The basis for adjustment and the push of personalized content and services to e-book users.
为解决上述技术问题，本发明的通过电子书阅读器进行用户行为模式分析的系统，包括：In order to solve the above-mentioned technical problems, the system for analyzing user behavior patterns through an e-book reader of the present invention includes:
电子书阅读器，用于保存用户操作电子书阅读时的电子书日志数据；The e-book reader is used to save the e-book log data when the user operates the e-book to read;
行为模式分析服务器，收集电子书日志数据与电子书内容提供网站保存的用户操作记录的网站日志数据，所述行为模式分析服务器对电子书日志数据及网站日志数据进行整合、分析，并将分析结果反馈到电子书阅读器和电子书内容提供网站。The behavior pattern analysis server collects the e-book log data and the e-book content and provides the website log data of the user operation records saved by the website. The behavior pattern analysis server integrates and analyzes the e-book log data and the website log data, and reports the analysis results Feedback to eBook readers and eBook content provider sites.
所述行为模式分析服务器进一步包括：The behavior pattern analysis server further includes:
日志数据收集模块，用于收集电子书阅读器上保存的电子书日志数据、电子书内容提供网站保存的用户操作记录的网站日志数据，并对收集到的电子书日志数据和网站日志数据进行整合；The log data collection module is used to collect the e-book log data saved on the e-book reader, the website log data of the user operation records saved by the e-book content providing website, and integrate the collected e-book log data and website log data ;
日志数据分析模块，用于对整合后的日志数据进行预处理和分析；The log data analysis module is used for preprocessing and analyzing the integrated log data;
分析结果记录模块，用于记录日志数据分析模块所产生的分析结果，并将结果反馈到电子书阅读器和电子书内容提供网站。The analysis result recording module is used for recording the analysis results generated by the log data analysis module, and feeding back the results to the e-book reader and the e-book content providing website.
另外，本发明的通过电子书阅读器进行用户行为模式分析的系统的实现方法，包括步骤：In addition, the implementation method of the system for analyzing user behavior patterns through an e-book reader of the present invention includes steps:
(1)绑定电子书阅读器与电子书内容提供网站的账号；(1) Binding the e-book reader with the account of the e-book content providing website;
其中，电子书内容提供网站是可以向用户提供电子书籍资源的网站，包括：起点中文、红袖添香、云中书城；Among them, the e-book content providing website is a website that can provide users with e-book resources, including: Qidian Chinese, Hongxiu Tianxiang, and Yunzhong Bookstore;
(2)电子书阅读器在联网后，将电子书阅读器保存的用户操作电子书阅读时的电子书日志数据加密后，传到日志数据收集模块；(2) After the e-book reader is connected to the Internet, the e-book log data stored by the e-book reader when the user operates the e-book is encrypted, and then transmitted to the log data collection module;
其中，加密方式可以采用不对称加密算法进行加密；Among them, the encryption method can be encrypted using an asymmetric encryption algorithm;
(3)在日志数据收集模块中，将电子书日志数据、与日志数据收集模块所收集的电子书内容提供网站保存的用户操作记录的网站日志数据整合后，传输到日志数据分析模块；(3) In the log data collection module, after integrating the e-book log data and the website log data of the user operation records kept by the e-book content provided by the log data collection module, the log data is transmitted to the log data analysis module;
电子书日志数据与网站日志数据，包括：用户基本信息数据和行为数据；其中，用户基本信息数据，包括网站注册时填写的信息；行为数据包括：访问时段、页面停留时间、搜索关键字、入口形式、使用流程、操作记录；E-book log data and website log data, including: user basic information data and behavior data; among them, user basic information data, including the information filled in when the website is registered; behavior data includes: access period, page stay time, search keywords, entrance form, usage process, and operation records;
所述整合是将电子书日志数据与网站日志数据按照访问时段或者用户需求进行整合，并形成一个统一的日志文件；The integration is to integrate the e-book log data and the website log data according to the access period or user needs, and form a unified log file;
(4)日志数据分析模块读取整合后的日志数据，对日志数据进行预处理和分析；(4) The log data analysis module reads the integrated log data, and preprocesses and analyzes the log data;
其中，预处理是按照分析的要求，将日志数据中无用的信息进行删除和清洗，如：对用户的误操作记录进行删除；Among them, the preprocessing is to delete and clean the useless information in the log data according to the requirements of the analysis, such as: delete the user's misoperation records;
(5)分析结果记录模块将产生的分析结果反馈给电子书阅读器和电子书内容提供网站；(5) The analysis result recording module feeds back the generated analysis results to the e-book reader and the e-book content providing website;
(6)电子书内容提供商根据分析结果进行产品优化和调整运营策略，对电子书用户进行个性化内容和服务的推送。(6) The e-book content provider optimizes products and adjusts operation strategies based on the analysis results, and pushes personalized content and services to e-book users.
本发明可以达到以下有益效果：The present invention can reach following beneficial effect:
1)可以从海量信息中快速找寻有用的信息，提高了信息的利用率，极大的提高了效率；1) It can quickly find useful information from massive information, which improves the utilization rate of information and greatly improves efficiency;
2)将电子书阅读器的日志文件与内容提供网站上的日志文件整合，可以更全面的对用户行为模式进行分析；2) Integrating the log files of the e-book reader with the log files on the content providing website can analyze the user behavior pattern more comprehensively;
3)通过分析结果，向用户做个性化的内容和服务推送，可以给用户带来很好的用户体验，企业可以对市场做出快速反应，也能获得更多利益。3) By analyzing the results and pushing personalized content and services to users, it can bring users a good user experience, and enterprises can respond quickly to the market and gain more benefits.
附图说明Description of drawings
下面结合附图与具体实施方式对本发明作进一步详细的说明：Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:
附图是本发明的通过电子书阅读器进行用户行为模式分析的系统运行流程图。The accompanying drawing is a flow chart of the system operation for analyzing the user behavior pattern through the e-book reader of the present invention.
具体实施方式detailed description
本发明的通过电子书阅读器进行用户行为模式分析的系统，包括：The system for analyzing user behavior patterns through an e-book reader of the present invention includes:
电子书阅读器，用于保存用户操作电子书阅读时的电子书日志数据；The e-book reader is used to save the e-book log data when the user operates the e-book to read;
行为模式分析服务器，收集电子书日志数据与电子书内容提供网站保存的用户操作记录的网站日志数据，所述行为模式分析服务器对电子书日志数据及网站日志数据进行整合、分析，并将分析结果反馈到电子书阅读器和电子书内容提供网站。The behavior pattern analysis server collects the e-book log data and the e-book content and provides the website log data of the user operation records saved by the website. The behavior pattern analysis server integrates and analyzes the e-book log data and the website log data, and reports the analysis results Feedback to eBook readers and eBook content provider sites.
其中，行为模式分析服务器进一步包括：日志数据收集模块、日志数据分析模块、分析结果记录模块。Wherein, the behavior pattern analysis server further includes: a log data collection module, a log data analysis module, and an analysis result recording module.
日志数据收集模块，用于收集电子书阅读器上保存的电子书日志数据、电子书内容提供网站保存的用户操作记录的网站日志数据等，并对收集到的电子书日志数据和网站日志数据进行整合。The log data collection module is used to collect the e-book log data saved on the e-book reader, the website log data of the user operation records saved by the e-book content providing website, etc., and to collect the collected e-book log data and website log data integrate.
其中，电子书日志数据与网站日志数据包括：用户基本信息数据和行为数据；其中，用户基本信息数据，包括网站注册时填写的信息，如：用户名、性别、年龄、爱好等；行为数据包括：页面停留时间、搜索关键字、入口形式、使用流程、访问时段、操作记录，例如，搜索关键字可以是用户在电子书阅读器上键盘操作的所有记录。这些日志数据可以按照时间序列(访问时段)或者用户需求进行整合。Among them, e-book log data and website log data include: user basic information data and behavior data; among them, user basic information data includes information filled in when the website is registered, such as: user name, gender, age, hobbies, etc.; behavior data includes : Page stay time, search keywords, entry form, use process, access period, operation records, for example, search keywords can be all records of keyboard operations performed by users on e-book readers. These log data can be integrated according to time series (access period) or user requirements.
日志数据分析模块，用于对整合后的日志数据进行预处理和分析。其中，预处理的方式是按照分析的要求，将日志数据中无用的信息进行删除和清洗，如：对用户的误操作记录进行删除。The log data analysis module is used for preprocessing and analyzing the integrated log data. Among them, the preprocessing method is to delete and clean useless information in the log data according to the requirements of the analysis, such as deleting user misoperation records.
分析结果记录模块，用于记录日志数据分析模块所产生的分析结果，并将结果反馈到电子书阅读器和电子书内容提供网站。The analysis result recording module is used for recording the analysis results generated by the log data analysis module, and feeding back the results to the e-book reader and the e-book content providing website.
另一方面，利用上述的通过电子书阅读器进行用户行为模式分析的系统，实现用户行为模式分析方法，其流程图如说明书附图所示，具体包括步骤：On the other hand, using the above-mentioned system for analyzing user behavior patterns through an e-book reader to implement a method for analyzing user behavior patterns, the flow chart thereof is shown in the accompanying drawings of the description, specifically including steps:
(1)绑定电子书阅读器与电子书内容提供网站的账号；(1) Binding the e-book reader with the account of the e-book content providing website;
其中，电子书内容提供网站包括：起点中文、红袖添香、云中书城；Among them, e-book content providing websites include: Qidian Chinese, Hongxiu Tianxiang, Yunzhong Bookstore;
通过使用绑定的账号(例如盛大通行证，既可以登陆起点中文网、云中书城等，也可以绑定电子书阅读器)可以直接登录电子书内容提供网站阅读小说，还可以直接绑定电子书阅读器；By using a bound account (such as a Shanda pass, you can log in to Qidian Chinese website, Yunzhong Bookstore, etc., or bind an e-book reader) to directly log in to the e-book content providing website to read novels, and you can also directly bind e-books Reader;
(2)电子书阅读器在联网后，将电子书阅读器保存的用户操作电子书进行阅读时的电子书日志数据加密后，传到日志数据收集模块；(2) After the e-book reader is connected to the Internet, the e-book log data stored by the e-book reader when the user operates the e-book for reading is encrypted, and then transmitted to the log data collection module;
其中，加密的方式采用不对称加密算法进行加密；Among them, the encryption method adopts an asymmetric encryption algorithm for encryption;
(3)在日志数据收集模块中，将电子书日志数据、与日志数据收集模块所收集的电子书内容提供网站保存的用户操作记录的网站日志数据整合后，传输到日志数据分析模块；(3) In the log data collection module, after integrating the e-book log data and the website log data of the user operation records kept by the e-book content provided by the log data collection module, the log data is transmitted to the log data analysis module;
(4)日志数据分析模块读取整合后的日志数据，对日志数据进行预处理和分析；(4) The log data analysis module reads the integrated log data, and preprocesses and analyzes the log data;
(5)分析结果记录模块将产生的分析结果反馈给电子书阅读器和电子书内容提供网站；(5) The analysis result recording module feeds back the generated analysis results to the e-book reader and the e-book content providing website;
(6)根据分析结果，对于电子书内容提供商而言，可以及时得到第一手的电子书用户群及其相应的使用状况和关注热点，然后进行产品优化、调整运营策略(如：提高热点新闻的更新速度、价格调整等)；对于电子书用户来说，在电子书阅读器再次联网时，对用户做个性化内容和服务的推送。(6) According to the analysis results, for e-book content providers, it is possible to obtain first-hand e-book user groups and their corresponding usage status and hot spots in a timely manner, and then optimize products and adjust operation strategies (such as: increasing hot spots) News update speed, price adjustment, etc.); for e-book users, when the e-book reader is connected to the Internet again, push personalized content and services to users.
本发明是一种基于互联网和电子书阅读器进行用户行为的获取、加密、传输、分析，通过针对电子书阅读器的特点，在电子书阅读器上引入用户行为模式分析系统，可以更全面的对用户行为模式进行分析，并向用户做个性化的内容和服务推送，给用户带来良好的体验，而电子书内容提供商也能获得更多利益。The present invention is an acquisition, encryption, transmission, and analysis of user behavior based on the Internet and an e-book reader. According to the characteristics of the e-book reader, a user behavior pattern analysis system is introduced into the e-book reader, which can be more comprehensive Analyze user behavior patterns, and push personalized content and services to users, bringing users a good experience, and e-book content providers can also gain more benefits.
Claims (8)
- A kind of 1. system that user behavior pattern analysis is carried out by E-book reader, it is characterised in that：Including：E-book reader, for preserving e-book daily record data when user operates e-book reading；BMAT server, collect the user that e-book daily record data preserves with eBook content offer website and operate and remember The web log file data of record, the BMAT server carry out whole to e-book daily record data and web log file data Splitting or integrating is analysed, and analysis result is fed back into E-book reader and eBook content provides website；E-book daily record data and web log file data, including：User basic information data and behavioral data；Wherein, Yong Huji This information data, including the information filled in during the registration of website；Behavioral data includes：Access-hours, page residence time, search are closed Key word, entry form, process for using, operation note；The BMAT server further comprises：Collection of log data module, carried for collecting the e-book daily record data, the eBook content that are preserved on E-book reader The web log file data of the user operation records preserved for website, and e-book daily record data and web log file number to being collected into According to being integrated；Daily record data analysis module, for the daily record data after integration to be pre-processed and analyzed；Analysis result logging modle, for analysis result caused by log data analysis module, and result is fed back to E-book reader and eBook content provide website.
- A kind of 2. realization side for the system for carrying out user behavior pattern analysis by E-book reader as claimed in claim 1 Method, including step：(1) account that E-book reader provides website with eBook content is bound；(2) for E-book reader after networking, the user that E-book reader is preserved operates electricity when e-book is read After the encryption of philosophical works daily record data, collection of log data module is passed to；(3) in collection of log data module, by the e-book collected by e-book daily record data and collection of log data module After content provides the web log file Data Integration for the user operation records that website preserves, daily record data analysis module is transferred to；E-book daily record data and web log file data, including：User basic information data and behavioral data；Wherein, Yong Huji This information data, including the information filled in during the registration of website；Behavioral data includes：Access-hours, page residence time, search are closed Key word, entry form, process for using, operation note；(4) daily record data analysis module reads the daily record data after integrating, and daily record data is pre-processed and analyzed；(5) caused analysis result is fed back to E-book reader by analysis result logging modle and eBook content provides net Stand；(6) eBook content provider carries out products perfection and adjustment migration efficiency according to analysis result, and Ebook user is entered Row individualized content and the push of service.
- 3. the implementation method of the system of user behavior pattern analysis is carried out by E-book reader as claimed in claim 2, It is characterized in that：It is the website for providing a user e-book resource that eBook content in the step (1), which provides website, bag Include：Starting point is Chinese, red tuck inside the sleeve adds bookstore in fragrant, cloud.
- 4. the implementation method of the system of user behavior pattern analysis is carried out by E-book reader as claimed in claim 2, It is characterized in that：In the step (2), (3), e-book daily record data and web log file data, including：User basic information number According to and behavioral data.
- 5. the implementation method of the system of user behavior pattern analysis is carried out by E-book reader as claimed in claim 2, It is characterized in that：The user basic information data, including the information filled in during the registration of website；The behavioral data includes：Access-hours, page residence time, search key, entry form, process for using, operation Record.
- 6. the implementation method of the system of user behavior pattern analysis is carried out by E-book reader as claimed in claim 2, It is characterized in that：Cipher mode in the step (2) is encrypted for asymmetrical encryption algorithm.
- 7. the implementation method of the system of user behavior pattern analysis is carried out by E-book reader as claimed in claim 2, It is characterized in that：Integration in the step (3), be by e-book daily record data and web log file data according to access-hours or Person's user's request is integrated, and forms a unified journal file.
- 8. the implementation method of the system of user behavior pattern analysis is carried out by E-book reader as claimed in claim 2, It is characterized in that：Pretreatment in the step (4) is the requirement according to analysis, and information useless in daily record data is deleted Remove and clean.
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| CN103136335B (en) * | 2013-01-31 | 2016-06-29 | 北京百分点信息科技有限公司 | A kind of data control method based on data platform |
| CN104035933B (en) * | 2013-03-06 | 2019-01-29 | 腾讯科技（深圳）有限公司 | A kind of reading source method for subscribing and system |
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| CN105701134B (en) * | 2015-06-23 | 2019-02-01 | 深圳市天朗时代科技有限公司 | E-book quickly previewing method and the e-book for having quickly previewing reading model |
| CN105205141A (en) * | 2015-09-20 | 2015-12-30 | 杭州电子科技大学 | Personalized customization method of electronic book |
| CN105741120A (en) * | 2016-01-20 | 2016-07-06 | 程凯 | Interaction method, interaction device, operating system, after-sales tracking method and after-sales tracking device |
| CN106453627B (en) * | 2016-11-18 | 2019-07-12 | 暴风集团股份有限公司 | Numbering-off system and numbering-off system build and operation method |
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