CN105577812B - A kind of user behavior analysis method - Google Patents
A kind of user behavior analysis method Download PDFInfo
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- CN105577812B CN105577812B CN201511031708.4A CN201511031708A CN105577812B CN 105577812 B CN105577812 B CN 105577812B CN 201511031708 A CN201511031708 A CN 201511031708A CN 105577812 B CN105577812 B CN 105577812B
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- 238000004458 analytical method Methods 0.000 title claims abstract description 34
- 230000003542 behavioural effect Effects 0.000 claims abstract description 28
- 238000000034 method Methods 0.000 claims abstract description 16
- 238000005516 engineering process Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
Classifications
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- 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
- H04L67/55—Push-based network services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
- H04L41/5061—Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the interaction between service providers and their network customers, e.g. customer relationship management
- H04L41/5064—Customer relationship management
-
- 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
- H04L67/52—Network services specially adapted for the location of the user terminal
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
Abstract
The invention discloses a kind of user behavior analysis methods, wherein, including multiple first clients and multiple second clients, each first client passes through multiple second clients of wireless network connection respectively, further include: step S1, second client obtain the behavioral data of the first client of each of connection；The behavioral data of step S2, second client, first client each to the correspondence of acquisition respectively are analyzed, and determine the push strategy of corresponding each first client；Step S3, second client send corresponding push content to each first client respectively according to the push strategy of each first client of correspondence.Above-mentioned technical proposal provides contact method and behavioral data that wireless network obtains user the utility model has the advantages that passing through, and further analyzes user behavior, recommends different commodity for different users convenient for businessman, to promote the usage experience of user and businessman.
Description
Technical field
The present invention relates to Internet technical field more particularly to a kind of user behavior analysis methods.
Background technique
Currently, the people using intelligent terminal is more and more, relatively, need the people of wireless network also more and more.Wirelessly
Network is more and more important to our life.
Wireless network (wireless network) is the network realized using wireless communication technique.Wireless network both included
Allow user to establish global voice and data network that remote-wireless connects, also includes being optimized near radio connection
Infrared technology and radio-frequency technique, very similar with the purposes of cable network, maximum difference is the difference of transmission medium,
Replace cable using radio technology, can be mutually backups with cable network.
However, although many businessmans attract more customers by providing a user wireless network, businessman is not
User can be positioned, the letter for being more conducive to businessman can not be obtained from the user information got by wireless network
Breath, can not be obtained by wireless network in addition to surf the Internet it is convenient other than other be conducive to the information of user.
Summary of the invention
Aiming at the above problems existing in the prior art, a kind of technical solution of user behavior analysis method is now provided, is had
Body is as follows:
A kind of user behavior analysis method, wherein including multiple first clients and multiple second clients, Mei Gesuo
It states the first client and passes through multiple second clients of wireless network connection respectively, further includes:
Step S1, second client obtain the behavioral data of the first client of each of connection, the behavioral data
For indicating the operation behavior after corresponding first client accesses the wireless network；
Step S2, the behavioral data of second client, first client each to the correspondence of acquisition respectively
It is analyzed, and determines the push strategy of corresponding each first client according to analysis result；
Step S3, second client is according to the push strategy of each first client of correspondence, respectively to each
First client sends corresponding push content.
Preferably, the behavioral data of first client includes:
The access locality data of position when for indicating that first client accesses the wireless network；And
For indicating that the access of the access record after first client accesses the wireless network records data.
Preferably, setting the tactful step of the push includes:
Step A1, second client are analyzed respectively according to the access locality data of each first client
Obtain the first analysis result for indicating the usual present position of the first client；
Step A2 determines that each usual present position of first client is corresponding not according to the first analysis result
Same second client；
Step A3 is analyzed respectively according to the access of each first client record data and is obtained for indicating
State the second analysis result of the webpage that the first client usually accesses；
Step A4 determines corresponding second client of each first client according to the second analysis result
The different push strategies provided to first client.
Preferably, the access record data in the behavioral data of each first client of analysis include:
The classification information of commodity in the page of each first client access；
The access times of commodity in the page of each first client access.
Preferably, the push content includes:
Belong in the page of the first client access described in the push strategy of corresponding each first client
Commodity the most commodity of access times belonging to classification information merchandise news.
Preferably, the method that the behavioral data stores in a distributed manner is saved.
Preferably, the access locality data of first client is obtained by wireless network positioning.
Above-mentioned technical proposal the utility model has the advantages that provide a kind of user behavior analysis method, pass through and wireless network is provided obtains
The contact method and behavioral data of user, further analyzes user behavior, convenient for businessman for different users recommend it is different
Commodity, to promote the usage experience of user and businessman.
Detailed description of the invention
Fig. 1 is a kind of user behavior analysis method flow schematic diagram in preferred embodiment of the invention；
Fig. 2 is to be based on Fig. 1, process is shown step by step for a kind of user behavior analysis method in preferred embodiment of the invention
It is intended to.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art without creative labor it is obtained it is all its
His embodiment, shall fall within the protection scope of the present invention.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
The present invention will be further explained below with reference to the attached drawings and specific examples, but not as the limitation of the invention.
In preferred embodiment of the invention, it is based on the above problem of the existing technology, a kind of user behavior is now provided
Analysis method, process such as Fig. 1, including multiple first clients and multiple second clients, each first client difference
Pass through multiple second clients of wireless network connection, further includes:
Step S1, the second client obtain the behavioral data of the first client of each of connection, and behavioral data is for indicating
Operation behavior after corresponding first client access wireless network；
The behavioral data of step S2, the second client the first client each to the correspondence of acquisition respectively are analyzed, and
The push strategy of corresponding each first client is determined according to analysis result；
Step S3, the second client is according to the push strategy of each first client of correspondence, respectively to each first client
End sends corresponding push content.
In a specific embodiment of the invention, the second client is businessman, and the first client is user, firstly,
Businessman by wireless network get user access wireless network when position access locality data and access wireless network it
The access of access record afterwards records data, then, analyzes the access locality data and access record data that get,
Determine the behavioural analysis of the corresponding businessman of wireless network and user of user's access as a result, according to determining businessman and user
Behavioural analysis result determine correspond to user push strategy, finally, determine businessman according to push strategy to user send
Push content.
In preferred embodiment of the invention, the behavioral data of the first client includes:
The access locality data of position when for indicating that the first client accesses wireless network；And
For indicating that the access for accessing record after the first client access wireless network records data.
In above-mentioned preferred embodiment, access locality data is for determining that the second client, access record data are used for
The behavior of the first client is analyzed, the two data are most important to user behavior analysis of the realization based on wireless network.
In preferred embodiment of the invention, as shown in Fig. 2, the step of setting push strategy includes:
Step A1, the second client are analyzed respectively according to the access locality data of each first client and are obtained for indicating
First analysis result of the usual present position of the first client；
Step A2 determines each usual present position of first client corresponding different second according to the first analysis result
Client；
Step A3 is analyzed respectively according to the access of each first client record data and is obtained for indicating the first client
Second analysis result of the webpage usually accessed；
Step A4 determines corresponding second client of each first client to the first client according to the second analysis result
The different push strategies provided.
In a specific embodiment of the invention, the first client is user, and the second client is businessman, firstly,
The access locality data in behavioral data by analyzing user determines then the businessman for being supplied to user radio network passes through
Analyzing access record data in the behavioral data of user determines the behavioural analysis of user as a result, finally, the behavior point for passing through user
Analysis result determines that the corresponding businessman of user provides a user corresponding push strategy.
In preferred embodiment of the invention, the access analyzed in the behavioral data of each first client records data packet
It includes:
The classification information of commodity in the page of each first client access；
The access times of commodity in the page of each first client access.
In above-mentioned preferred embodiment, firstly, commodity are classified with the classification information for obtaining commodity, then, statistics
The accessed number of the commodity of all categories, the two data are to user behavior analysis of the realization based on wireless network to Guan Chong
It wants.
In preferred embodiment of the invention, push content includes:
Belong to the access of the commodity in the push strategy of corresponding each first client in the page of the first client access
The merchandise news of classification information belonging to the most commodity of number.
In above-mentioned preferred embodiment, the most commodity of access times are obtained, are believed according to the classification of sorted commodity
Breath finds merchandise classification belonging to the most commodity of access times, obtains the information for belonging to the extensive stock of this merchandise classification,
Push content.
In preferred embodiment of the invention, the method that behavioral data stores in a distributed manner is saved.
In above-mentioned preferred embodiment, the method that behavioral data stores in a distributed manner is saved, that is, is saved into distribution
Formula storage system.Distributed memory system is that data dispersion is stored in more independent equipment.Traditional network storage system
System stores all data using the storage server concentrated, storage server become system performance bottleneck and reliability and
The focus of safety is not able to satisfy the needs of Mass storage application.Distributed network storage system uses expansible system
Structure shares storage load using more storage servers, positions storage information using location server, it, which is not only increased, is
Reliability, availability and the access efficiency of system, are also easy to extend.
In preferred embodiment of the invention, the access locality data for obtaining the first client is positioned by wireless network.
In above-mentioned preferred embodiment, the method that can be positioned by wireless network is with obtaining the access of the first client
Point data.Wireless network itself does not have positioning function, but the information of wireless network is accessed by user, such as radio frequency letter
Number intensity, time data etc., then cooperate and close on three or three or more wireless network hot spots, by certain algorithm, just
The position that can determine user, in the case where environmental ideals, the accuracy of positioning be can achieve within 5 meters.Compared to more traditional
GPS positioning and operator mobile cellular network positioning, wireless network positioning advantage indoors, be on the one hand indoors
The accuracy that wireless network positions under environment is higher also more stable；It on the other hand is then now with wireless network under indoor environment
Hot spot deployment quantity is continuously increased, and more and more users are accustomed to using wireless network under environment indoors, so that wirelessly
The application environment of network positions is increasingly mature.
The foregoing is merely preferred embodiments of the present invention, are not intended to limit embodiments of the present invention and protection model
It encloses, to those skilled in the art, should can appreciate that all with made by description of the invention and diagramatic content
Equivalent replacement and obviously change obtained scheme, should all be included within the scope of the present invention.
Claims (5)
1. a kind of user behavior analysis method, which is characterized in that including multiple first clients and multiple second clients, often
A first client passes through multiple second clients of wireless network connection respectively, further includes:
Step S1, second client obtain the behavioral data of the first client of each of connection, and the behavioral data is used for
Indicate that corresponding first client accesses the operation behavior after the wireless network, wherein
The behavioral data of first client includes:
The access locality data of position when for indicating that first client accesses the wireless network；And
For indicating that the access of the access record after first client accesses the wireless network records data；
Step S2, second client respectively first client each to the correspondence of acquisition the behavioral data carry out
Analysis, and the push strategy for corresponding to each first client is determined according to analysis result；
Step S3, second client is according to the push strategy of each first client of correspondence, respectively to each described
First client sends corresponding push content；
Setting the tactful step of the push includes:
Step A1, second client are analyzed respectively according to the access locality data of each first client and are obtained
For indicating the first analysis result of the usual present position of the first client；
Step A2 determines that each usual present position of first client is corresponding different according to the first analysis result
Second client；
Step A3, records data according to the access of each first client and analyzes respectively and obtain for indicating described the
Second analysis result of the webpage that one client usually accesses；
Step A4 determines corresponding second client of each first client to institute according to the second analysis result
The different push strategies of first client offer are provided.
2. the method as described in claim 1, which is characterized in that the institute in the behavioral data of each first client
Stating access record data includes:
The classification information of commodity in the page of each first client access；
The access times of commodity in the page of each first client access.
3. method according to claim 2, which is characterized in that the push content includes:
Belong to the quotient in the page of the first client access described in the push strategy of corresponding each first client
The merchandise news of classification information belonging to the most commodity of the access times of product.
4. the method as described in claim 1, which is characterized in that the method that the behavioral data stores in a distributed manner is protected
It deposits.
5. the method as described in claim 1, which is characterized in that positioned by wireless network and obtain connecing for first client
Enter locality data.
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| CN201511031708.4A CN105577812B (en) | 2015-12-31 | 2015-12-31 | A kind of user behavior analysis method |
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| CN201511031708.4A CN105577812B (en) | 2015-12-31 | 2015-12-31 | A kind of user behavior analysis method |
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| CN105577812B true CN105577812B (en) | 2019-04-09 |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101957834A (en) * | 2010-08-12 | 2011-01-26 | 百度在线网络技术（北京）有限公司 | Content recommending method and device based on user characteristics |
| CN103400291A (en) * | 2013-08-26 | 2013-11-20 | 百度在线网络技术（北京）有限公司 | Commodity recommending method and system and server |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130018711A1 (en) * | 2011-07-14 | 2013-01-17 | Enpulz, Llc | Buyer group definition and association in a demand driven promotion system |
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- 2015-12-31 CN CN201511031708.4A patent/CN105577812B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101957834A (en) * | 2010-08-12 | 2011-01-26 | 百度在线网络技术（北京）有限公司 | Content recommending method and device based on user characteristics |
| CN103400291A (en) * | 2013-08-26 | 2013-11-20 | 百度在线网络技术（北京）有限公司 | Commodity recommending method and system and server |
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| CN105577812A (en) | 2016-05-11 |
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