WO2016127632A1 - 基于电子支付行为的数据处理方法、***和计算机设备 - Google Patents

基于电子支付行为的数据处理方法、***和计算机设备 Download PDF

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WO2016127632A1
WO2016127632A1 PCT/CN2015/088901 CN2015088901W WO2016127632A1 WO 2016127632 A1 WO2016127632 A1 WO 2016127632A1 CN 2015088901 W CN2015088901 W CN 2015088901W WO 2016127632 A1 WO2016127632 A1 WO 2016127632A1
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user
information
user information
data
consumption
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PCT/CN2015/088901
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English (en)
French (fr)
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陈本东
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百度在线网络技术（北京）有限公司
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Priority to US15/301,359 priority Critical patent/US20170337568A1/en
Publication of WO2016127632A1 publication Critical patent/WO2016127632A1/zh
Priority to US16/879,743 priority patent/US20210035126A1/en

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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
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/284—Relational databases
    • 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
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • 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
    • G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0255—Targeted advertisements based on user history
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0269—Targeted advertisements based on user profile or attribute
    • G06Q30/0271—Personalized advertisement
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/535—Tracking the activity of the user

Definitions

  • the present invention relates to the field of communications technologies, and in particular, to a data processing method, system, and computer device based on electronic payment behavior.
  • the correlation statistics between the behavior of the user clicking on the webpage and the information of the consumption of the store are mainly through the method of manually inquiring the record to the consumer, and the statistical efficiency is low.
  • an indoor positioning technology that automatically detects whether a user has arrived at the store.
  • this indoor positioning technology has a large error and a high error rate; and it is impossible to know the type of consumer products after the user arrives at the store, and at the same time, it cannot be associated with the behavior of the user clicking on the webpage.
  • Embodiments of the present invention provide a data processing method, system, and computer device based on electronic payment behavior, to implement a method for associating a user's online behavior data with consumption behavior data.
  • an embodiment of the present invention provides a data processing method based on an electronic payment behavior, including:
  • Embodiments of the present invention also provide a data processing system based on electronic payment behavior, including:
  • the first obtaining module is configured to obtain log information formed by the user on the Internet
  • a second obtaining module configured to acquire consumption information generated by the user application electronic payment for consumption
  • a first collecting module configured to collect, by using the log information, first user information of a user viewing the specified content data
  • a second collecting module collecting, from the consumption information, second user information of a user who pays for a product or service related to the specified content data
  • mapping matching module configured to perform mapping mapping on the first user information and the second user information according to a user information mapping relation database that stores a plurality of user information of the user, to acquire the first user information and the second user The information belongs to the user behavior associated data of the same user.
  • Embodiments of the present invention provide a computer device comprising: one or more processors; a memory; one or more programs, the one or more programs being stored in the memory, and configured to be
  • the one or more processors execute instructions included in the one or more programs for executing an electronic payment behavior-based data processing method: acquiring log information formed by a user on the Internet; acquiring consumption information generated by the user applying the electronic payment for consumption Collecting, from the log information, first user information of a user viewing the specified content data; collecting, from the consumption information, second user information of a user who pays for a product or service related to the specified content data;
  • the user information mapping relationship database of the user information of the user performs mapping mapping on the first user information and the second user information, and acquires user behavior association data in which the first user information and the second user information belong to the same user. .
  • the computer device performs mapping mapping by synchronizing the log information formed by the user's Internet access with the user application electronic payment through the user information mapping relation database to obtain the user behavior association data of the same user, and then utilizes the user behavior association. Data for targeted data mining to obtain more valuable information.
  • FIG. 1 is a flowchart of a method for processing an electronic payment behavior based data processing method according to an embodiment of the present invention
  • FIG. 2 is a flowchart of a method for another embodiment of a data processing method based on an electronic payment behavior according to the present invention
  • FIG. 3 is a schematic structural diagram of an embodiment of a data processing system based on an electronic payment behavior provided by the present invention
  • FIG. 4 is a schematic structural diagram of another embodiment of a data processing system based on electronic payment behavior provided by the present invention.
  • FIG. 5 is a schematic structural diagram of an embodiment of a computer device according to the present invention.
  • the embodiment of the present invention uses the pre-generated user information mapping relation database to associate the behavior information of the content data viewed by the user when surfing the Internet with the consumption information consumed by the electronic payment.
  • the technical solution of the embodiment of the present invention can be applied to association processing of pre-data for analyzing user consumption behavior.
  • FIG. 1 is a flowchart of a method for processing an electronic payment behavior based data processing method according to an embodiment of the present invention.
  • the execution body of the method may be a system or a server having a data processing function.
  • the data processing method based on the electronic payment behavior specifically includes:
  • the user generates a large amount of log information during the online process. After the log information is generated, it is automatically stored in the server on the network side.
  • the user's specific online behavior data such as the user information used to view the content data, can be obtained by obtaining the user's log information from the server.
  • the electronic payment for consumption such as online payment for a consumer order by logging in to the electronic payment software on the mobile terminal.
  • the corresponding consumption information is generated, such as the information of the goods or services of the paid purchase order, the user information at the time of payment, and the like.
  • the first user information of the user viewing the specified content data is collected from the log information.
  • the specified content data may be data of a specified product or service.
  • the first user information is related information of a user who views the specified content data, such as a Cell Phone Unique Identification (CUID), a User Identification Number (User ID), and a User Identification Number (User ID) used by the user to view the content data.
  • CUID Cell Phone Unique Identification
  • User ID User Identification Number
  • User ID User Identification Number
  • MAC Media Access Control
  • S104 Collect, from the consumption information, second user information of a user who pays for a product or service related to the specified content data.
  • the designated content data is the specified content data corresponding to the step S103.
  • the specified content data may be an advertisement content of a commodity or service published by a merchant on the network, and a product or service related to the specified content data is the same commodity or service provided by the merchant.
  • the so-called second user information is related information of users who purchase products or services related to content data through electronic payment, such as CUID, User ID, and terminal devices used by users when they consume online. MAC address and so on.
  • S105 Perform mapping mapping on the first user information and the second user information according to the user information mapping relation database in which the user information of the user is stored, and obtain the user behavior association data in which the first user information and the second user information belong to the same user.
  • the embodiment obtains a large amount of user information by collecting the user's log information, cookie data, and the like, and then Tracking and data association obtains the correspondence between different types of user information of the same user or multiple different user information of the same type, and according to these correspondences, a user information mapping relation database is constructed.
  • Each user stored in the user information mapping relation database corresponds to a plurality of user information, and there is a mapping relationship between the user information.
  • the same A user can correspond to a plurality of types of user information such as a CUID, a User ID, and a MAC address of a terminal device used.
  • the first user information and the second user information are mapped and matched by using the user information mapping relation database to determine which of the first user information and the second user information are user information corresponding to the same user. Then, the related data of the same user is associated, and the user behavior associated data corresponding to the user is generated. For example, the specified content data viewed by the same user as the first user may be merged with the data of the product or service consumed by the second user identity by electronic payment, and the function constitutes user behavior associated data of the user.
  • the data processing method based on the electronic payment behavior provided by the embodiment of the present invention collects the first user information of the user who views the specified content data from the acquired user log information; and the consumption information that is consumed by the obtained user through electronic payment.
  • the second user information of the user who collects the product or service related to the specified content data is mapped and matched in the user information mapping relationship database storing the plurality of user information of the user, thereby acquiring the first user information and the second user.
  • the information belongs to the user behavior associated data of the same user.
  • the scheme uses the mapping relationship between multiple user information corresponding to the same user as a bridge to associate the user's online behavior data with the consumption behavior data, so that the merchant or the user can use the user behavior correlation data to perform targeted data mining. For more valuable information.
  • FIG. 2 is a flowchart of a method for processing an electronic payment behavior based data processing method according to another embodiment of the present invention, which is a specific implementation manner of the method embodiment shown in FIG. 1.
  • the electronic payment is based on
  • the data processing method of the behavior specifically includes:
  • the first user information of the user viewing the specified content data is collected from the log information.
  • S204 Collect, from the consumption information, second user information of a user who pays for a product or service related to the specified content data.
  • S205 Perform mapping mapping on the first user information and the second user information according to the user information mapping relation database in which the user information of the user is stored, and obtain the user behavior association data in which the first user information and the second user information belong to the same user.
  • step S206 After obtaining the above-mentioned user behavior association data, further data mining can be performed on the data to obtain targeted value information. For example, the content of step S206 may be further performed after step S205.
  • the so-called network consumption information refers to the consumption data information describing the products or services related to the specified content data through electronic payment after the user views the specified content data through the Internet.
  • the user's store-to-store consumption rate information may be generated according to the number of first users corresponding to the user behavior association data and the number of second users.
  • the ratio of the number of all first users to the number of second users may be used as the store consumption rate information of the user who consumes the product or service through electronic payment.
  • a user who views the specified content data only by the Internet without performing the related product or service that consumes the specified content by electronic payment is not a statistical object of the store consumption rate.
  • the data processing method based on the electronic payment behavior provided by the embodiment of the present invention provides a specific example of data mining by acquiring user behavior association data, that is, according to the user accessing the Internet. View the specified content and the user's electronic consumption of the user's network consumption information such as the store consumption rate, in order to facilitate later data mining.
  • FIG. 3 is a schematic structural diagram of an embodiment of a data processing system based on an electronic payment behavior provided by the present invention, and the method steps shown in FIG. 1 can be performed.
  • the data processing system based on the electronic payment behavior specifically includes a first obtaining module 31, a second obtaining module 32, a first collecting module 33, a second collecting module 34, and a mapping matching module 35; wherein:
  • the first obtaining module 31 is configured to obtain log information formed by the user on the Internet;
  • the second obtaining module 32 is configured to acquire consumption information generated by the user applying the electronic payment for consumption;
  • the first collecting module 33 is configured to collect, from the log information, the first user information of the user viewing the specified content data
  • the second collection module 34 collects, from the consumption information, second user information of a user who pays for a product or service related to the specified content data;
  • the mapping matching module 35 is configured to perform mapping mapping on the first user information and the second user information according to the user information mapping relation database in which the user information of the user is stored, and obtain the first user information and the second user information belonging to the same user. User behavior associated with data.
  • the method further includes:
  • the generating module 36 is configured to generate network consumption information of the user according to the obtained first user information and the user behavior association data of the second user belonging to the same user.
  • the generating module 36 is specifically configured to:
  • the user's arrival rate consumption rate information is generated according to the number of first users corresponding to the user behavior associated data and the number of second users.
  • the foregoing user information may include:
  • CUID user's mobile phone unique identifier
  • User ID user identification number
  • MAC media access control
  • the method steps of the embodiment shown in FIG. 2 can be performed by the data processing system based on the electronic payment behavior shown in FIG. 4, and the principle of the steps is not described herein.
  • the data processing system based on the electronic payment behavior provided by the embodiment of the present invention collects the first user information of the user who views the specified content data from the acquired user log information; and the consumption information that is consumed by the obtained user through the electronic payment.
  • the second user information of the user who collects the product or service related to the specified content data is mapped and matched in the user information mapping relationship database storing the plurality of user information of the user, thereby acquiring the first user information and the second User information belongs to user behavior association data of the same user.
  • the scheme uses the mapping relationship between multiple user information corresponding to the same user as a bridge to associate the user's online behavior data with the consumption behavior data, so that the merchant or the user can use the user behavior correlation data to perform targeted data mining. For more valuable information.
  • the solution described in this embodiment also provides the number of user behavior associations obtained through According to a specific example of data mining, the user's network consumption information, such as the store consumption rate, is obtained according to the specified content viewed by the user on the Internet and the user's consumption through electronic consumption, so as to facilitate later data mining.
  • the user's network consumption information such as the store consumption rate
  • FIG. 5 is a schematic structural diagram of an embodiment of a computer device according to the present invention.
  • a computer device can be used to implement the electronic payment behavior based data processing method provided in the above embodiments. Specifically:
  • Computer devices may vary considerably depending on configuration or performance, and may include one or more processors (such as Central Processing Units, CPU) 510 and memory 520.
  • the memory 520 can be short-term storage or persistent storage.
  • One or more programs may be stored in memory 520, each of which may include a series of instruction operations in a computer device.
  • the processor 510 can be in communication with the memory 520 to perform a series of instruction operations in the memory 520 on the computer device.
  • the memory 520 also stores data of one or more operating systems, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, and the like.
  • the computer device may also include one or more power sources 530, one or more wired or wireless network interfaces 540, one or more input and output interfaces 550, and the like.
  • the computer device includes one or more processors 510, memory 520, and one or more programs, one or more programs stored in memory 520, and configured to be comprised by one or more processors 510 executing, by the one or more programs, an instruction for executing a data processing method based on an electronic payment behavior: acquiring log information formed by a user on the Internet; acquiring consumption information generated by the user applying the electronic payment for consumption; and from the log information Acquiring first user information of a user viewing the specified content data; collecting, from the consumption information, second user information of a user who pays for a product or service related to the specified content data; according to the plurality of user information storing the user
  • the user information mapping relation database performs mapping mapping on the first user information and the second user information, and acquires user behavior association data in which the first user information and the second user information belong to the same user.
  • the memory 520 further includes an instruction to: generate the user's network consumption information according to the acquired first user information and the second user information belonging to the same user's user behavior association data.
  • the memory 520 further includes an instruction to perform the following processing: according to user behavior The number of the first users corresponding to the associated data and the number of the second users generate the user's store-to-store consumption rate information.
  • the user information includes at least one of a user's mobile phone unique identifier (CUID), a user identification number (User ID), and a media access control (MAC) address.
  • CUID mobile phone unique identifier
  • User ID user identification number
  • MAC media access control
  • the computer device provided by the present invention uses the pre-generated user information mapping relation database to associate the behavior information of the content data viewed by the user when surfing the Internet with the consumption information consumed by the electronic payment, thereby realizing targeted data mining and obtaining more Valuable information.
  • the present invention also implements targeted data association by using the user's network consumption information, such as the store consumption rate, as a specific data mining object.

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Abstract

一种基于电子支付行为的数据处理方法、***和计算机设备，方法包括：获取用户上网形成的日志信息（101）；获取用户应用电子支付进行消费所产生的消费信息（102）；从日志信息中采集查看指定内容数据的用户的第一用户信息（103）；从消费信息中采集支付与指定内容数据相关的产品或服务的用户的第二用户信息（104）；根据存有用户的多个用户信息的用户信息映射关系数据库对第一用户信息和第二用户信息进行映射匹配，获取第一用户信息和第二用户信息属于相同用户的用户行为关联数据（105）。本方法实现了一种将用户的上网行为数据与消费行为数据进行关联的方式，便于商家或用户利用这些用户行为关联数据进行有针对性的数据挖掘，获取更具价值的信息。

Description

基于电子支付行为的数据处理方法、***和计算机设备
本申请要求于2015年02月13日提交中国专利局、申请号为201510078590.4、发明名称为“基于电子支付行为的数据处理方法和***”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本发明涉及通信技术领域，尤其涉及一种基于电子支付行为的数据处理方法、***和计算机设备。
背景技术
在移动互联网时代，许多商家通过在互联网中发布服务广告或设置产品服务网页来吸引人们进店消费。对于搜索引擎公司，和商家来说，对用户点击网页的行为和进店消费的信息之间进行关联统计，对于自身的服务优化有着重要的意义。
目前，对用户点击网页的行为和进店消费的信息之间进行关联统计主要通过对消费者进行人工询问记录的方式，统计效率较低。虽然，现在已存在通过室内定位技术，自动探测用户是否到店。但是这种室内定位技术误差很大，错误率高；而且，无法知道用户到店后的消费产品种类、同时也无法与用户点击网页的行为进行关联。
发明内容
本发明的实施例提供一种基于电子支付行为的数据处理方法、***和计算机设备，以实现一种将用户的上网行为数据与消费行为数据进行关联的方法。
为达到上述目的，本发明的实施例提供了一种基于电子支付行为的数据处理方法，包括：
获取用户上网形成的日志信息；
获取用户应用电子支付进行消费所产生的消费信息；
从所述日志信息中采集查看指定内容数据的用户的第一用户信息；
从所述消费信息中采集支付与所述指定内容数据相关的产品或服务的用户的第二用户信息；
根据存有用户的多个用户信息的用户信息映射关系数据库对所述第一用户信息和所述第二用户信息进行映射匹配，获取所述第一用户信息和第二用户信息属于相同用户的用户行为关联数据。
本发明的实施例还提供了一种基于电子支付行为的数据处理***，包括：
第一获取模块，用于获取用户上网形成的日志信息；
第二获取模块，用于获取用户应用电子支付进行消费所产生的消费信息；
第一采集模块，用于从所述日志信息中采集查看指定内容数据的用户的第一用户信息；
第二采集模块，从所述消费信息中采集支付与所述指定内容数据相关的产品或服务的用户的第二用户信息；
映射匹配模块，用于根据存有用户的多个用户信息的用户信息映射关系数据库对所述第一用户信息和所述第二用户信息进行映射匹配，获取所述第一用户信息和第二用户信息属于相同用户的用户行为关联数据。
本发明的实施例提供了一种计算机设备，包括：一个或多个处理器；存储器；一个或多个程序，所述一个或多个程序存储在所述存储器中，且经配置以由所述一个或者多个处理器执行所述一个或者多个程序包含的用于执行基于电子支付行为的数据处理方法的指令：获取用户上网形成的日志信息；获取用户应用电子支付进行消费所产生的消费信息；从所述日志信息中采集查看指定内容数据的用户的第一用户信息；从所述消费信息中采集支付与所述指定内容数据相关的产品或服务的用户的第二用户信息；根据存有用户的多个用户信息的用户信息映射关系数据库对所述第一用户信息和所述第二用户信息进行映射匹配，获取所述第一用户信息和第二用户信息属于相同用户的用户行为关联数据。
本发明实施例提供的基于电子支付行为的数据处理方法、***和计 算机设备，通过将用户上网形成的日志信息与用户应用电子支付进行消费所产生的消费信息通过用户信息映射关系数据库进行映射匹配，以获取同一用户的用户行为关联数据，进而利用这些用户行为关联数据进行有针对性的数据挖掘，获取更具价值的信息。
附图说明
图1为本发明提供的基于电子支付行为的数据处理方法一个实施例的方法流程图；
图2为本发明提供的基于电子支付行为的数据处理方法另一个实施例的方法流程图；
图3为本发明提供的基于电子支付行为的数据处理***一个实施例的结构示意图；
图4为本发明提供的基于电子支付行为的数据处理***另一个实施例的结构示意图；
图5为本发明提供的计算机设备一个实施例的结构示意图。
具体实施方式
本发明的实施例利用预先生成的用户信息映射关系数据库将用户上网时所查看的内容数据的行为信息与通过电子支付进行消费的消费信息进行关联。本发明实施例的技术方案可以适用于对用户消费行为进行分析的前期数据的关联处理。
实施例一
图1为本发明提供的基于电子支付行为的数据处理方法一个实施例的方法流程图，该方法的执行主体可以为具有数据处理功能的***或服务器。如图1所示，该基于电子支付行为的数据处理方法具体包括：
S101，获取用户上网形成的日志信息。
用户在上网过程中会产生大量的日志信息，这些日志信息生成后自动被存储在网络侧的服务器中。通过从服务器中获取用户的日志信息可以获知用户的具体上网行为数据，如查看内容数据所使用的用户信息等。
S102，获取用户应用电子支付进行消费所产生的消费信息。
现在，许多用户都偏向电子支付进行消费，如在手机终端上通过登陆电子支付软件对某消费订单进行在线支付。用户在应用电子支付进行消费时会产生相应的消费信息，如所支付的消费订单的商品或服务的信息、支付时的用户信息等。
S103，从日志信息中采集查看指定内容数据的用户的第一用户信息。
其中，该指定内容数据可以为指定的商品或服务的数据。所谓第一用户信息为查看这些指定内容数据的用户的相关信息，如用户在查看内容数据所使用的手机唯一标识(Cell phone Unique Identification，CUID)、用户识别号(User Identification number，User ID)以及用户上网时所使用的终端设备的媒体访问控制(Media Access Control，MAC)地址等。
S104，从消费信息中采集支付与指定内容数据相关的产品或服务的用户的第二用户信息。
其中，该指定内容数据为步骤S103中对应的指定内容数据。例如该指定内容数据可以为某商家在网络上发布的商品或服务的广告内容，而与该指定内容数据相关的产品或服务即为该商家提供的同一商品或服务。所谓第二用户信息为通过电子支付消费指定内容数据相关的产品或服务的用户的相关信息，如这些用户在进行电子支付消费时所使用的CUID、User ID以及用户上网消费时所使用的终端设备的MAC地址等。
S105，根据存有用户的多个用户信息的用户信息映射关系数据库对第一用户信息和第二用户信息进行映射匹配，获取第一用户信息和第二用户信息属于相同用户的用户行为关联数据。
为了将用户上网查看指定内容数据的行为信息与通过电子支付进行消费的产品或服务进行关联，本实施例预先通过收集用户的日志信息、cookie数据等方式获取了大量的用户信息，然后对这些信息进行跟踪和数据关联得到了相同用户的不同类型的或是同种类型下的多个不同的用户信息之间的对应关系，并根据这些对应关系，构建了一个用户信息映射关系数据库。该用户信息映射关系数据库中存储的每个用户下都对应着多个的用户信息，这些用户信息之间存在映射关系。例如，同 一用户下可对应着CUID、User ID以及所使用的终端设备的MAC地址等多个类型的用户信息等。
利用上述用户信息映射关系数据库对上述第一用户信息和第二用户信息进行映射匹配，以确定获得第一用户信息与第二用户信息中哪些是对应于同一用户的用户信息。然后将同一用户的相关数据进行关联，生成该用户对应的用户行为关联数据。例如，可将同一用户以第一用户身份查看的指定内容数据与第二用户身份通过电子支付所消费的产品或服务的数据合并，功能构成该用户的用户行为关联数据。
本发明实施例提供的基于电子支付行为的数据处理方法，将从获取的用户日志信息中采集查看指定内容数据的用户的第一用户信息；以及从获取的用户通过电子支付进行消费的消费信息中采集支付与所述指定内容数据相关的产品或服务的用户的第二用户信息在存有用户的多个用户信息的用户信息映射关系数据库中进行映射匹配，从而获取第一用户信息和第二用户信息属于相同用户的用户行为关联数据。该方案以同一用户对应的多个用户信息之间的映射关系作为桥梁，对用户的上网行为数据与消费行为数据进行关联，以便于商家或用户利用这些用户行为关联数据进行有针对性的数据挖掘，获取更具价值的信息。
实施例二
图2为本发明提供的基于电子支付行为的数据处理方法另一个实施例的方法流程图，是如图1所示方法实施例的一种具体实现方式，如图2a所示，该基于电子支付行为的数据处理方法具体包括：
S201，获取用户上网形成的日志信息。
S202，获取用户应用电子支付进行消费所产生的消费信息。
S203，从日志信息中采集查看指定内容数据的用户的第一用户信息。
S204，从消费信息中采集支付与指定内容数据相关的产品或服务的用户的第二用户信息。
S205，根据存有用户的多个用户信息的用户信息映射关系数据库对第一用户信息和第二用户信息进行映射匹配，获取第一用户信息和第二用户信息属于相同用户的用户行为关联数据。
上述步骤S201～S205的具体执行过程可参见步骤S101～S105的相应内容，在此不作赘述。
在获取到上述用户行为关联数据后，可以针对该数据进行进一步的数据挖掘，从而获取有针对性的价值的信息。例如，在步骤S205之后还可以继续执行步骤S206的内容。
S206，根据获取的第一用户信息和第二用户信息属于相同用户的用户行为关联数据生成用户的网络消费信息。
所谓网络消费信息，就是指描述用户通过上网查看指定内容数据后通过电子支付消费指定内容数据相关的产品或服务的消费数据信息。
例如，可根据用户行为关联数据对应的第一用户的数目和第二用户的数目生成用户的到店消费率信息。
具体地，可将所有第一用户的数目与第二用户的数目的比值作为用户通过电子支付消费该产品或服务的到店消费率信息。这里说明，对于仅通过上网产生查看指定内容数据而没有进行通过电子支付消费该指定内容的相关的产品或服务的用户，不作为到店消费率的统计对象。
本发明实施例提供的基于电子支付行为的数据处理方法，在图1所示方法实施例的基础上，给出了通过获取的用户行为关联数据进行数据挖掘的一个具体实例，即根据用户上网所查看指定内容与用户通过电子消费的用户情况获取用户的网络消费信息如到店消费率，以便于后期的数据挖掘。
以上所述，仅为本发明的具体实施方式，但本发明的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本发明揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本发明的保护范围之内。因此，本发明的保护范围应以所述权利要求的保护范围为准。
实施例三
图3为本发明提供的基于电子支付行为的数据处理***一个实施例的结构示意图，可执行如图1所示方法步骤。如图3所示，该基于电子支付行为的数据处理***具体包括第一获取模块31、第二获取模块32、第一采集模块33、第二采集模块34和映射匹配模块35；其中：
第一获取模块31，用于获取用户上网形成的日志信息；
第二获取模块32，用于获取用户应用电子支付进行消费所产生的消费信息；
第一采集模块33，用于从日志信息中采集查看指定内容数据的用户的第一用户信息；
第二采集模块34，从消费信息中采集支付与所述指定内容数据相关的产品或服务的用户的第二用户信息；
映射匹配模块35，用于根据存有用户的多个用户信息的用户信息映射关系数据库对第一用户信息和第二用户信息进行映射匹配，获取第一用户信息和第二用户信息属于相同用户的用户行为关联数据。
进一步的，如图4所示，在图3所示实施例的基础上，还可以包括：
生成模块36，用于根据获取的第一用户信息和第二用户信息属于相同用户的用户行为关联数据生成用户的网络消费信息。
进一步的，上述生成模块36具体可用于：
根据用户行为关联数据对应的第一用户的数目和第二用户的数目生成用户的到店消费率信息。
进一步的，上述用户信息可以包括：
用户的手机唯一标识(CUID)、用户识别号(User ID)和媒体访问控制(MAC)地址中的至少一种信息。
上述图2所示实施例的方法步骤可通过图4所示的基于电子支付行为的数据处理***执行完成，在此对其步骤原理不作赘述。
本发明实施例提供的基于电子支付行为的数据处理***，通过将从获取的用户日志信息中采集查看指定内容数据的用户的第一用户信息；以及从获取的用户通过电子支付进行消费的消费信息中采集支付与所述指定内容数据相关的产品或服务的用户的第二用户信息在存有用户的多个用户信息的用户信息映射关系数据库中进行映射匹配，从而获取第一用户信息和第二用户信息属于相同用户的用户行为关联数据。该方案以同一用户对应的多个用户信息之间的映射关系作为桥梁，对用户的上网行为数据与消费行为数据进行关联，以便于商家或用户利用这些用户行为关联数据进行有针对性的数据挖掘，获取更具价值的信息。
进一步的，本实施例所述方案还给出了通过获取的用户行为关联数 据进行数据挖掘的一个具体实例，即根据用户上网所查看指定内容与用户通过电子消费的用户情况获取用户的网络消费信息如到店消费率，以便于后期的数据挖掘。
图5为本发明提供的计算机设备一个实施例的结构示意图。
参照图5，计算机设备可用于实施上述实施例中提供的基于电子支付行为的数据处理方法。具体来讲：
计算机设备可因配置或性能不同而产生比较大的差异，可以包括一个或一个以上处理器(如Central Processing Units，CPU)510和存储器520。其中，存储器520可以是短暂存储或持久存储。存储器520中可存储有一个或一个以上的程序，每个程序可包括对计算机设备中的一系列指令操作。更进一步地，处理器510可与存储器520通信，在计算机设备上执行存储器520中的一系列指令操作。特别地，存储器520中还存储有一个或一个以上的操作***的数据，例如Windows ServerTM，Mac OS XTM，UnixTM，LinuxTM，FreeBSDTM等等。计算机设备还可包括一个或一个以上电源530，一个或一个以上有线或无线网络接口540，一个或一个以上输入输出接口550等。
具体在本实施例中，计算机设备包括一个或者多个处理器510、存储器520，以及一个或者多个程序，一个或者多个程序存储于存储器520中，且经配置以由一个或者多个处理器510执行一个或者多个程序包含的用于执行基于电子支付行为的数据处理方法的指令：获取用户上网形成的日志信息；获取用户应用电子支付进行消费所产生的消费信息；从所述日志信息中采集查看指定内容数据的用户的第一用户信息；从所述消费信息中采集支付与所述指定内容数据相关的产品或服务的用户的第二用户信息；根据存有用户的多个用户信息的用户信息映射关系数据库对所述第一用户信息和所述第二用户信息进行映射匹配，获取所述第一用户信息和第二用户信息属于相同用户的用户行为关联数据。
进一步地，存储器520中还包括执行以下处理的指令：根据获取的第一用户信息和第二用户信息属于相同用户的用户行为关联数据生成用户的网络消费信息。
此外，存储器520中还包括执行以下处理的指令：根据用户行为关 联数据对应的第一用户的数目和所述第二用户的数目生成用户的到店消费率信息。
进一步地，用户信息包括：用户的手机唯一标识(CUID)、用户识别号(User ID)和媒体访问控制(MAC)地址中的至少一种信息。
本发明提供的计算机设备，利用预先生成的用户信息映射关系数据库将用户上网时所查看的内容数据的行为信息与通过电子支付进行消费的消费信息进行关联，实现有针对性的数据挖掘，获取更具价值的信息。
进一步地，本发明还以用户的网络消费信息如到店消费率作为具体的数据挖掘对象实现有针对性的数据关联。
最后应说明的是：以上各实施例仅用以说明本发明的技术方案，而非对其限制；尽管参照前述各实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分或者全部技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明各实施例技术方案的范围。

Claims (9)

  1. 一种基于电子支付行为的数据处理方法，其特征在于，包括：
    获取用户上网形成的日志信息；
    获取用户应用电子支付进行消费所产生的消费信息；
    从所述日志信息中采集查看指定内容数据的用户的第一用户信息；
    从所述消费信息中采集支付与所述指定内容数据相关的产品或服务的用户的第二用户信息；
    根据存有用户的多个用户信息的用户信息映射关系数据库对所述第一用户信息和所述第二用户信息进行映射匹配，获取所述第一用户信息和第二用户信息属于相同用户的用户行为关联数据。
  2. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    根据获取的所述第一用户信息和第二用户信息属于相同用户的用户行为关联数据生成用户的网络消费信息。
  3. 根据权利要求2所述的方法，其特征在于，所述根据获取的所述第一用户信息和第二用户信息属于相同用户的用户行为关联数据生成用户的网络消费信息，包括：
    根据所述用户行为关联数据对应的第一用户的数目和所述第二用户的数目生成用户的到店消费率信息。
  4. 根据权利要求1-3任一项所述的方法，其特征在于，所述用户信息包括：
    用户的手机唯一标识(CUID)、用户识别号(User ID)和媒体访问控制(MAC)地址中的至少一种信息。
  5. 一种基于电子支付行为的数据处理***，其特征在于，包括：
    第一获取模块，用于获取用户上网形成的日志信息；
    第二获取模块，用于获取用户应用电子支付进行消费所产生的消费信息；
    第一采集模块，用于从所述日志信息中采集查看指定内容数据的用户的第一用户信息；
    第二采集模块，从所述消费信息中采集支付与所述指定内容数据相关的产品或服务的用户的第二用户信息；
    映射匹配模块，用于根据存有用户的多个用户信息的用户信息映射关系数据库对所述第一用户信息和所述第二用户信息进行映射匹配，获取所述第一用户信息和第二用户信息属于相同用户的用户行为关联数据。
  6. 根据权利要求5所述的***，其特征在于，所述***还包括：
    生成模块，用于根据获取的所述第一用户信息和第二用户信息属于相同用户的用户行为关联数据生成用户的网络消费信息。
  7. 根据权利要求6所述的***，其特征在于，所述生成模块具体用于：
    根据所述用户行为关联数据对应的第一用户的数目和所述第二用户的数目生成用户的到店消费率信息。
  8. 根据权利要求5-7任一项所述的***，其特征在于，所述用户信息包括：
    用户的手机唯一标识(CUID)、用户识别号(User ID)和媒体访问控制(MAC)地址中的至少一种信息。
  9. 一种计算机设备，其特征在于，包括：
    一个或多个处理器；
    存储器；
    一个或多个程序，所述一个或多个程序存储在所述存储器中，且经配置以由所述一个或者多个处理器执行所述一个或者多个程序包含的用于执行基于电子支付行为的数据处理方法的指令：
    获取用户上网形成的日志信息；
    获取用户应用电子支付进行消费所产生的消费信息；
    从所述日志信息中采集查看指定内容数据的用户的第一用户信息；
    从所述消费信息中采集支付与所述指定内容数据相关的产品或服务的用户的第二用户信息；
    根据存有用户的多个用户信息的用户信息映射关系数据库对所述第一用户信息和所述第二用户信息进行映射匹配，获取所述第一用户信息和第二用户信息属于相同用户的用户行为关联数据。
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