CN107749888A - A kind of statistical method of user behavior data - Google Patents
A kind of statistical method of user behavior data Download PDFInfo
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- CN107749888A CN107749888A CN201711032767.2A CN201711032767A CN107749888A CN 107749888 A CN107749888 A CN 107749888A CN 201711032767 A CN201711032767 A CN 201711032767A CN 107749888 A CN107749888 A CN 107749888A
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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
- H04L67/56—Provisioning of proxy services
- H04L67/568—Storing data temporarily at an intermediate stage, e.g. caching
- H04L67/5683—Storage of data provided by user terminals, i.e. reverse caching
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3438—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment monitoring of user actions
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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
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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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
- H04L67/535—Tracking the activity of the user
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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
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
- H04L67/62—Establishing a time schedule for servicing the requests
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- General Engineering & Computer Science (AREA)
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Abstract
The present embodiments relate to a kind of statistical method of user behavior data, method includes：User terminal obtains the behavioral data of user；When system time reaches the first preset time, multiple behavioral datas of user terminal extraction caching, generation user behavior information is sent to server；Server matches ID；If the match is successful, server generates a user behavior data record, added in the user behavior data record list of ID；User terminal monitors the access operation of user after system time reaches the second preset time, generates Data Analysis Services request when recognizing the access operation of user's input, and be sent to server；Server determines the time interval of data to be analyzed；Server generates analyzing and processing data and stored；Server generation prompting message is sent to user terminal.Data reporting of the present invention more comprehensively, can be analyzed and processed exactly to user behavior data.
Description
Technical field
The present invention relates to communication technical field, more particularly to a kind of statistical method of user behavior data.
Background technology
At present, being supplied to most of data reporting of user on the market is counted based on user behavior, data reporting
It is relatively simple, it is impossible to more fully data are provided in a certain field, such as：Some reading softwares, are merely able to provide the user with and read
Number of words is read, chapters and sections number is read, reads the basic reading data such as article classification；Most of hands swim software, only provide the trip of user
The game datas such as play duration, military success, heroic figure's introduction；Shopping website, then only provide Buying Cycle, the purchase commodity kind of user
Class, purchasing power etc. buy data.
And in the elder's health field, APP of the prior art or system do not provide user's sleep, diet, fortune simultaneously
Move, read, listening to, social and study data reporting, and data reporting is generally counted based on user behavior, it is not right
User behavior is analyzed and processed, and user wants to understand from data reporting the daily behavior custom of oneself, it is necessary to spend very long
Time, it is impossible to meet the needs of user.
The content of the invention
The purpose of the present invention is the problem of presence for prior art, there is provided a kind of data reporting more comprehensively, analysis user
Behavior is more accurate, meet user's request user behavior data statistical method.
To achieve the above object, the invention provides a kind of statistical method of user behavior data, methods described to include：
User terminal obtains the behavioral data of user, and is buffered in the memory of the user terminal；
The system time of the user terminal is monitored, when the system time reaches the first preset time, the user
Terminal extracts multiple behavioral datas of the caching, generates user behavior information and is sent to server；User's row
Include ID, the behavioral data and corresponding temporal information for information；
The server matches the ID according to the user behavior information in ID managing listings；
If the match is successful, the server gives birth to the behavioral data and the temporal information according to the ID
Recorded into a user behavior data, added in the user behavior data record list of the ID；
The user terminal monitors the access operation of user, works as knowledge after the system time reaches the second preset time
Data Analysis Services request is generated when being clipped to the access operation of user's input, and is sent to the server；The data analysis
Processing request includes the ID；
The system time that the server is asked according to the Data Analysis Services are received, determine data to be analyzed when
Between section；
According to the time interval and the ID, recorded from the user behavior data in list according to the time
Acquisition of information behavioral data to be analyzed；
The server carries out statistical analysis processing to the behavioral data to be analyzed, generates analyzing and processing data and deposits
Storage；
The server generation prompting message is sent to the user terminal, to described in user terminal access inquiry
Analyzing and processing data.
Preferably, the behavioral data of the user terminal acquisition user specifically includes：
The user terminal identifies operation input of the user to the user terminal, determines that the operation input is corresponding
Content information, the behavioral data is generated according to the content information and operating time information；The operating time packet
Include operation time started and operation end time.
Preferably, the behavioral data of the user terminal acquisition user specifically includes：
The user terminal receives the behavior record information of user's input, and institute is generated according to the behavior record information
State behavioral data.
Preferably, the behavioral data of the user terminal acquisition user specifically includes：
The user terminal obtains the behavioral data record information that associate device is sent, and generates the behavioral data.
Preferably, it is characterised in that in the server according to the user behavior information, in ID managing listings
After matching the ID, methods described also includes：
If matching is unsuccessful, the server adds the ID in the ID managing listings, and newly-built
The user behavior data record list of the ID；
The server generates a user behavior data according to the behavioral data and the temporal information and recorded,
And it is added in the user behavior data record list of the ID.
Preferably, methods described also includes：
The analyzing and processing that the user terminal receives user's input checks request, and is sent to the server；Institute
State analyzing and processing and check that request includes the ID；
The server checks request according to the analyzing and processing, obtains the corresponding analyzing and processing data, concurrently
Give the user terminal；
The analyzing and processing data is loaded and is shown as the recent behavioral statisticses analysis result page by the user terminal.
The statistical method of user behavior data provided in an embodiment of the present invention, point will at a fixed time daily for user terminal
The behavioral data of user is uploaded onto the server, and server is stored data in database, each daily one group of data of user, is received
The data of collection more comprehensively, meanwhile, server can analyze and process to the data of statistics, be accurately positioned user custom, hobby.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the statistical method of user behavior data provided in an embodiment of the present invention.
Embodiment
Below by drawings and examples, technical scheme is described in further detail.
The present embodiments relate to the statistical method of the user behavior data of offer, data reporting more comprehensively, and can be to system
The data of meter are analyzed and processed, and are accurately positioned custom, the hobby of user.
Fig. 1 is the schematic flow sheet of the statistical method of user behavior data provided in an embodiment of the present invention.Below in conjunction with Fig. 1
It is shown, the statistical method of user behavior data provided in an embodiment of the present invention is illustrated.
Step 101, user terminal obtains the behavioral data of user, and is buffered in the memory of user terminal.
Specifically, the operation input of user terminal identification user to user terminal, it is determined that content letter corresponding to operation input
Breath, behavioral data is generated according to content information and operating time information, wherein, operating time information include the operation time started and
Operate the end time.
User terminal receives the behavior record information of user's input, and behavioral data is generated according to behavior record information.User
Terminal can also obtain the behavioral data record information of associate device transmission, and generate behavioral data.
During one specific, user terminal refers to for collecting user behavior data and display data analysis processing knot
The equipment of fruit, server is stored to user behavior data, statistics and analysis processing, is responded the request of user terminal, is gone forward side by side
Row processing.When user to user terminal is operated, the operation input that user terminal can be to user is identified, and parses use
The operation input at family, the content information of extraction operation input, and between obtaining at the beginning of user is operated and the end time, root
According to content information and operating time information generation behavioral data；User inputs recent behavior record on the subscriber terminal, such as
Diet situation etc., user terminal receive the behavior record information of the user, generate behavioral data；When user terminal and other data
When counting equipment association, data statistics equipment can periodically send the behavioural information of user to user terminal, and user terminal can also incite somebody to action
The behavioral data for the behavioral data record information generation user that these associate devices are sent.It follows that behavioral data can be by
The data record letter that the operation input behavior of user to user terminal, the behavior record information of user's input, associate device are sent
In breath one or more and generate.User terminal, can be slow by all behavioral datas after the behavioral data of user is obtained
Deposit in memory.
Step 102, the system time of user terminal is monitored, when system time reaches the first preset time, user terminal
Multiple behavioral datas of caching are extracted, user behavior information is generated and is sent to server.
Specifically, user behavior information includes ID, behavioral data and corresponding temporal information.
During one specific, the behavioral data cached can be uploaded to service at default time point by user terminal
Device, demand, can set the time point for uploading data, and be designated as the first preset time as the case may be.User terminal can be real
When the monitoring system time, once system time reaches the first preset time, user terminal will extract the institute cached in memory
There is user behavior data, and obtain the cached corresponding temporal information of behavioral data, believed according to behavioral data, corresponding time
Breath and ID generation user behavior information, are sent to server.
Step 103, server matches ID in ID managing listings, determined whether according to user behavior information
The match is successful.
If the match is successful, into step 104；If it fails to match, into step 106.
Server receives the user behavior information that user terminal is sent, and parses user behavior information, and obtain in server
ID managing listings, the ID of all existing users in database, server are have recorded in ID managing listings
ID that can be in user behavior information matches ID in ID managing listings, if the match is successful, illustrates
The user has the historical record that behavioural information is stored in database, if it fails to match, it is to exist for the first time to illustrate the user
Data storage in the database.
When matching ID success in ID managing listings：
Step 104, behavioral data and temporal information are generated a user behavior data note by server according to ID
Record, added in the user behavior data record list of ID.
During one specific, after the match is successful, server can extract the behavioral data in user behavior information
With corresponding temporal information, and behavioral data and corresponding temporal information are generated into a user behavior data record, record this
All the behavioral data information and temporal information of secondary upload, and according to ID, it is added to the corresponding user behavior of ID
In data record list.Wherein, corresponding temporal information can refer to beginning cache-time and the data extraction of multiple behavioral datas
Time, the time point that user behavior data is uploaded to server can also be referred to.
Step 105, user terminal monitors the access operation of user, works as knowledge after system time reaches the second preset time
Data Analysis Services request is generated when being clipped to the access operation of user's input, and is sent to server.
Specifically, Data Analysis Services request includes ID.
During one specific, server can unite to all user behavior datas in default a period of time
Meter analyzing and processing, default a period of time can be realized by preset time point, and it is pre- that the default time point is designated as into second
If the time, for example, default a period of time is one week, we can using by the Monday of this week as the time started, and by next week
Monday as the end time be the second preset time, meanwhile, Monday of next week be also at the beginning of next stage between, with such
Promote row setting.When user terminal monitors that system time reaches the second preset time, the access operation of user will be monitored,
When user accesses user terminal for the first time in this time phase, user terminal can generate data point according to user access request
Analysis processing request, and Data Analysis Services request is sent to server, trigger the analyzing and processing action of server.
After execution of step 105, step 108 is continued executing with.
When in step 103 ID it fails to match when：
Step 106, server adds ID, and the user behavior data of newly-built ID in ID managing listings
Record list.
Specifically, when not matching the ID of the user in ID managing listings, then illustrate the user for the first time
Behavioral data is recorded, therefore, it is necessary to the ID of the user is added in ID managing listings first, convenient storage next time
Inquired about during behavioral data, then need to record list for newly-built one user behavior data associated with ID of the user,
For preserving the user behavior data of user record.
Step 107, server generates a user behavior data record according to behavioral data and temporal information, and is added to
In the user behavior data record list of ID.
During one specific, server can extract behavioral data and letter of corresponding time in user behavior information
Breath, and behavioral data and temporal information are generated into a user behavior data record, record user all rows interior for a period of time
For data, meanwhile, this user behavior data record can be stored in be recorded in list for the newly-built user behavior data of the user.
After execution of step 107, return to step 105.
Step 108, server according to receive Data Analysis Services request system time, determine data to be analyzed when
Between section.
During one specific, server receives the Data Analysis Services request that user terminal is sent, and obtains and connect
The system time of Data Analysis Services request is received, the time interval of data to be analyzed is determined by system time, so as to convenient
Extract the behavioral data that user is all in the corresponding period.
Step 109, according to time interval and ID, record in list from user behavior data and obtained according to temporal information
Behavioral data to be analyzed.
During one specific, the ID of server based on data analyzing and processing request, obtain and ID phase
The user behavior data record list of association, and the section in user behavior data record list is extracted according to the time interval of determination
All user behavior datas in time, are designated as behavioral data to be analyzed.
Step 110, server carries out statistical analysis processing to behavioral data to be analyzed, generates analyzing and processing data and deposits
Storage.
During one specific, server enters at line asynchronous statistical analysis to the behavioral data to be analyzed of extraction
Reason, generate analyzing and processing data and write caching.Wherein, asynchronous statistical analysis processing refers specifically to：Although user does not input analysis
Request is checked in processing, but after system time reaches the second preset time, user terminal can input for the first time according to user
Operation generation Data Analysis Services request is accessed, server is asynchronous to carry out behavioral data statistical analysis processing.
Step 111, server generation prompting message is sent to user terminal, to the processing of user terminal access query analysis
Data.
During one specific, server can obtain analyzing and processing data when analyzing and processing data is cached
Address link information, and according to address link information generate prompting message, start to carry in reception to user terminal, user terminal
After message of waking up, can loaded and displayed be reminder message, remind user to inquire about recent behavioral data and analyze, user by analysis at
The address link information for managing data can be with query-relevant data.
When user sees that reminder message wants to check recent behavioral data analysis, user's input analyzing and processing is checked please
To ask, the analyzing and processing that user terminal receives user's input checks request, and is sent to server, wherein, analyzing and processing is checked please
Ask including ID；Server checks request according to analyzing and processing, obtains corresponding analyzing and processing data, and be sent to user
Terminal；Analyzing and processing data is loaded and is shown as the recent behavioral statisticses analysis result page by user terminal, so as to facilitate user
Check.
In order to be better understood from said process, it is illustrated with a specific example.
Server provides a data and gets interface ready, and user terminal can be by the behavioral data of the interface report of user, its
In, behavioral data specifically includes：Dormant data, dietary data, exercise data, read data, listen to data, social data and
Data are practised, user can input daily related diet situation on the subscriber terminal, so as to which user terminal is carried out to dietary data
Record, dormant data and exercise data can carry out data statistics by associate device, and be sent to user's end by associate device
End, and read data, listen to data, social data and learning data then by the behaviour of user's terminal recognition user to user terminal
Make the record that input carries out data.Can be with the user behavior data of pre-set user terminal 6 points of upload the previous days of every morning, its
In, dormant data includes sleep onset time and sleep end time, dietary data include diet meat and vegetables situation in the morning, afternoon and evening with
And the amount of drinking water, exercise data include daily step number, read data include reading quantity, read type, read the time started and
End time, listen to data include the amount of listening to, audio categories, listen to time started and end time, social data including the use of
APP titles, learning data include course name and study number.Server is stored data in database, each user
Daily a data.When user is accessing user terminal for the first time weekly, the data that server stored last week to the user are done
Asynchronous statistical disposition, weekly data are obtained after processing, and write caching, while pushed one to user and generated on weekly data
Reminder message.When user is when monthly first time accesses user terminal, the data that server stores last month to the user are done different
Statistical disposition is walked, monthly magazine data are obtained after processing, and writes caching, while one is pushed on the generation of monthly magazine data to user
Reminder message, weekly data and monthly magazine data include sleep analysis result, diet analysis result, motion analysis result, reading
Analysis result, analysis result, favorite 3 APP titles and study analysis result are listened to, wherein, the sleep in data reporting
Analysis result includes averagely sleep duration, sleep quality, average time for falling asleep and averagely got up the time, and diet analysis result includes
The inclined meat and vegetables situation and the amount of drinking water situation often eaten, such as subimbition, motion analysis result can show that the step number of recent user is total
Amount, when reading analysis result includes recent reading total amount, reading classification, reads duration equal day, reads total duration and be accustomed to reading
Section, listen to analysis result include listening in the recent period total amount, listen to classification, equal day listens to duration, listens to total duration and when custom is listened to
Section, study analysis result, which includes favorite course name, study total duration and study of equal day duration, user, can pass through weekly
Data and monthly magazine data understand oneself recent behavioural habits, and user may be referred to the habits and customs of data point reuse oneself.
Server carries out different analyzing and processing processes to all kinds of statistics, is situated between below by taking dormant data as an example
Continue.When server analysis handles to obtain weekly data, server obtains the dormant data of last week first, by the sleep that last week is all
Time started and sleep end time are collected respectively, then respectively divided by 7, it is possible to are obtained average time for falling asleep and average risen
The bed time；Daily sleep onset time and sleep end time are done into subtraction, obtain duration of sleeping daily, then will be all every
Day sleep duration collects divided by 7, obtains average sleep duration；Sleep quality includes normal, sleep insufficiency, evening sleep with it is snoozed, such as
Fruit averagely slept duration less than 6 hours, then sleep quality can show sleep insufficiency, if being averaged time for falling asleep after 23 points,
Then sleep quality can show that evening sleeps, if duration of averagely sleeping is more than 9 hours, sleep quality can show it is snoozed, if average
Duration sleep between 6 hours to 9 hours, and average time for falling asleep before 23 points, then display is normal.
The statistical method of user behavior data provided in an embodiment of the present invention, point will at a fixed time daily for user terminal
The behavioral data of user is uploaded onto the server, and server is stored data in database, each daily one group of data of user, is received
The data of collection more comprehensively, meanwhile, server can analyze and process to the data of statistics, be accurately positioned user custom, hobby.
Professional should further appreciate that, each example described with reference to the embodiments described herein
Unit and algorithm steps, it can be realized with electronic hardware, computer software or the combination of the two, it is hard in order to clearly demonstrate
The interchangeability of part and software, the composition and step of each example are generally described according to function in the above description.
These functions are performed with hardware or software mode actually, application-specific and design constraint depending on technical scheme.
Professional and technical personnel can realize described function using distinct methods to each specific application, but this realization
It is it is not considered that beyond the scope of this invention.
The method that is described with reference to the embodiments described herein can use hardware, computing device the step of algorithm
Software module, or the two combination are implemented.Software module can be placed in random access memory (RAM), internal memory, read-only storage
(ROM), in electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field
In known any other form of storage medium.
Above-described embodiment, the purpose of the present invention, technical scheme and beneficial effect are carried out further
Describe in detail, should be understood that the embodiment that the foregoing is only the present invention, be not intended to limit the present invention
Protection domain, within the spirit and principles of the invention, any modification, equivalent substitution and improvements done etc., all should include
Within protection scope of the present invention.
Claims (6)
1. a kind of statistical method of user behavior data, it is characterised in that the statistical method includes：
User terminal obtains the behavioral data of user, and is buffered in the memory of the user terminal；
The system time of the user terminal is monitored, when the system time reaches the first preset time, the user terminal
Multiple behavioral datas of the caching are extracted, user behavior information is generated and is sent to server；The user behavior letter
Breath includes ID, the behavioral data and corresponding temporal information；
The server matches the ID according to the user behavior information in ID managing listings；
If the match is successful, the server is according to the ID, by the behavioral data and temporal information generation one
Item user behavior data record, added in the user behavior data record list of the ID；
The user terminal monitors the access operation of user, when recognizing after the system time reaches the second preset time
Data Analysis Services request is generated during the access operation of user's input, and is sent to the server；The Data Analysis Services
Request includes the ID；
The system time that the server is asked according to the Data Analysis Services are received, determine the time zone of data to be analyzed
Between；
According to the time interval and the ID, recorded from the user behavior data in list according to the temporal information
Obtain behavioral data to be analyzed；
The server carries out statistical analysis processing to the behavioral data to be analyzed, generates analyzing and processing data and stores；
The server generation prompting message is sent to the user terminal, and the analysis is inquired about to the user terminal access
Processing data.
2. the statistical method of user behavior data according to claim 1, it is characterised in that the user terminal, which obtains, to be used
The behavioral data at family specifically includes：
The user terminal identifies operation input of the user to the user terminal, determines in corresponding to the operation input
Hold information, the behavioral data is generated according to the content information and operating time information；The operating time information includes behaviour
Make time started and operation end time.
3. the statistical method of user behavior data according to claim 1, it is characterised in that the user terminal, which obtains, to be used
The behavioral data at family specifically includes：
The user terminal receives the behavior record information of user's input, and the row is generated according to the behavior record information
For data.
4. the statistical method of user behavior data according to claim 1, it is characterised in that the user terminal, which obtains, to be used
The behavioral data at family specifically includes：
The user terminal obtains the behavioral data record information that associate device is sent, and generates the behavioral data.
5. the statistical method of user behavior data according to claim 1, it is characterised in that in the server according to institute
User behavior information is stated, after the ID is matched in ID managing listings, methods described also includes：
If matching is unsuccessful, the server adds the ID in the ID managing listings, and newly-built described
The user behavior data record list of ID；
The server generates a user behavior data according to the behavioral data and the temporal information and recorded, and adds
It is added in the user behavior data record list of the ID.
6. the statistical method of user behavior data according to claim 1, it is characterised in that methods described also includes：
The analyzing and processing that the user terminal receives user's input checks request, and is sent to the server；Described point
Analysis processing checks that request includes the ID；
The server checks request according to the analyzing and processing, obtains the corresponding analyzing and processing data, and be sent to
The user terminal；
The analyzing and processing data is loaded and is shown as the recent behavioral statisticses analysis result page by the user terminal.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109829103A (en) * | 2019-01-08 | 2019-05-31 | 上海上湖信息技术有限公司 | A kind of method for down loading and device of application program |
| CN109947821A (en) * | 2019-03-14 | 2019-06-28 | 腾讯科技（深圳）有限公司 | Generation method, display methods, device, equipment and the storage medium of report information |
| CN110515791A (en) * | 2018-05-21 | 2019-11-29 | 珠海格力电器股份有限公司 | Data interaction method, equipment and computer storage medium |
| CN110769072A (en) * | 2019-10-31 | 2020-02-07 | 北京达佳互联信息技术有限公司 | Multimedia resource acquisition method, device and storage medium |
| CN111383056A (en) * | 2020-03-13 | 2020-07-07 | 成都魔力百聚科技有限公司 | Service information analysis processing method |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101986605A (en) * | 2010-11-04 | 2011-03-16 | 北京迈朗世讯科技有限公司 | Method and system for processing web surfing data of user based on backbone network |
| CN102346894A (en) * | 2010-08-03 | 2012-02-08 | 阿里巴巴集团控股有限公司 | Output method, system and server of recommendation information |
| CN102768044A (en) * | 2012-07-31 | 2012-11-07 | 深圳市赛格导航科技股份有限公司 | Navigator capable of recording driving habits of user and recording and replaying method thereof |
| CN102880676A (en) * | 2012-09-10 | 2013-01-16 | 新浪网技术(中国)有限公司 | Statistical method for user behavior data and user behavior data statistical system |
| US20140051385A1 (en) * | 2012-08-17 | 2014-02-20 | Systex Corporation | Telecommunication behavior statistical analysis system |
| CN103810254A (en) * | 2014-01-22 | 2014-05-21 | 浙江大学 | User behavior real-time analyzing method based on cloud terminal |
| CN104301528A (en) * | 2014-09-28 | 2015-01-21 | 小米科技有限责任公司 | Information displaying method and device |
| CN105046477A (en) * | 2015-08-27 | 2015-11-11 | 华南理工大学 | Intelligent portable apparatus for recording and managing daily life |
| CN105608654A (en) * | 2015-12-19 | 2016-05-25 | 刘国正 | Intelligent wearable terminal based child behavior monitoring and developing method and system |
-
2017
- 2017-10-30 CN CN201711032767.2A patent/CN107749888A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102346894A (en) * | 2010-08-03 | 2012-02-08 | 阿里巴巴集团控股有限公司 | Output method, system and server of recommendation information |
| CN101986605A (en) * | 2010-11-04 | 2011-03-16 | 北京迈朗世讯科技有限公司 | Method and system for processing web surfing data of user based on backbone network |
| CN102768044A (en) * | 2012-07-31 | 2012-11-07 | 深圳市赛格导航科技股份有限公司 | Navigator capable of recording driving habits of user and recording and replaying method thereof |
| US20140051385A1 (en) * | 2012-08-17 | 2014-02-20 | Systex Corporation | Telecommunication behavior statistical analysis system |
| CN102880676A (en) * | 2012-09-10 | 2013-01-16 | 新浪网技术(中国)有限公司 | Statistical method for user behavior data and user behavior data statistical system |
| CN103810254A (en) * | 2014-01-22 | 2014-05-21 | 浙江大学 | User behavior real-time analyzing method based on cloud terminal |
| CN104301528A (en) * | 2014-09-28 | 2015-01-21 | 小米科技有限责任公司 | Information displaying method and device |
| CN105046477A (en) * | 2015-08-27 | 2015-11-11 | 华南理工大学 | Intelligent portable apparatus for recording and managing daily life |
| CN105608654A (en) * | 2015-12-19 | 2016-05-25 | 刘国正 | Intelligent wearable terminal based child behavior monitoring and developing method and system |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110515791A (en) * | 2018-05-21 | 2019-11-29 | 珠海格力电器股份有限公司 | Data interaction method, equipment and computer storage medium |
| CN109829103A (en) * | 2019-01-08 | 2019-05-31 | 上海上湖信息技术有限公司 | A kind of method for down loading and device of application program |
| CN109947821A (en) * | 2019-03-14 | 2019-06-28 | 腾讯科技（深圳）有限公司 | Generation method, display methods, device, equipment and the storage medium of report information |
| CN110769072A (en) * | 2019-10-31 | 2020-02-07 | 北京达佳互联信息技术有限公司 | Multimedia resource acquisition method, device and storage medium |
| CN111383056A (en) * | 2020-03-13 | 2020-07-07 | 成都魔力百聚科技有限公司 | Service information analysis processing method |
| CN111383056B (en) * | 2020-03-13 | 2022-09-16 | 成都魔力百聚科技有限公司 | Service information analysis processing method |
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