CN106326320A - Method and device for realizing personal guidance - Google Patents
Method and device for realizing personal guidance Download PDFInfo
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- CN106326320A CN106326320A CN201510404313.8A CN201510404313A CN106326320A CN 106326320 A CN106326320 A CN 106326320A CN 201510404313 A CN201510404313 A CN 201510404313A CN 106326320 A CN106326320 A CN 106326320A
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
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Abstract
The invention discloses a method and a device for realizing personal guidance. The method comprises the following steps: performing frequent access pattern mining according to a user history access sequence set to obtain a frequent access pattern set; recognizing a user access sequence set according to current access information of a user; matching each access sequence in the user access sequence set with items in the frequent access pattern set to obtain a corresponding rule set; recommending consequents of all rules in the rule set to the user as a function guidance list. Correspondingly, the device comprises a mining module, a recognizing module, a matching module and a guidance module. By adopting the method and the device, personal guidance can be provided for next-step operation of the user, convenience is brought to operation of the user, and the user experience is improved.
Description
Technical field
The invention belongs to field of computer technology, particularly relate to a kind of personalized implementation method guided and
Device.
Background technology
In field of computer technology, especially it is currently based on the various application that the Internet provides, in application
Webpage on provided the user customized menu.When user selects a functional keys on webpage
After, can eject for user and carry out, for user, the menu that next operation selects, the menu ejected also may be used
To be translucent mask, mask has and carries out, for user, the options that next operation selects, for
User provides function to guide.
But those optionies being used for guiding are all to set according to business experience in advance in existing mask
Putting, in the application system that function is various, the options that user can select is the most, it is impossible to will
All optionies are included in mask.Even if it is the most reasonable that the options being included in mask is also not necessarily
Options, some customized options perhaps user is the most conventional, and conventional may not be in mask.
The Chinese invention patent of Publication No. CN 103092471A discloses a kind of dynamic function menu
Implementation method and terminal, the method is added up the user of each function menu and is used frequency, obtains function
Menu uses frequency statistics information, uses frequency statistics information according to function menu, with systemic presupposition
Spread pattern or distribution form, dynamic adjustment function menu list or the sequence of layout.Can according to
The use habit at family or form demand, carry out suitable arrangement or distributing adjustment to menu, to improve dish
Single Consumer's Experience, user friendly operation.
But only user to each function menu having had uses frequency to carry out in this invention
Statistics, and according to using frequency statistics information to adjust function menu list, i.e. to the function having had
Menu carries out the adjustment arranged.And for the upper net operation of user, user's next one operation target
Optional item get more and more, can be another website, or other plates on same webpage
Block.Guiding of next operation cannot be provided the user in the prior art according to the current operation of user,
Need user oneself to find next step operation page click through operation, this for a user,
Waste the most unnecessary time and efforts, for the application system that function is numerous and diverse, Yong Hucao
It is more inconvenient that work gets up.
Summary of the invention
It is an object of the invention to provide a kind of personalized implementation method guided and device, it is possible to according to
Current operation behavior, historical operation information and the customer attribute information at family, for next step behaviour of user
Make to provide personalization to guide, facilitate the operation of user, improve Consumer's Experience.
To achieve these goals, technical solution of the present invention is as follows:
A kind of personalized implementation method guided, including:
According to user access information, identify user's access sequence collection；
Each access sequence concentrated by user's access sequence, with the item in frequent access paths set
Mate, it is thus achieved that corresponding rule set；
The consequent of strictly all rules in rule set is recommended user as function boot-list；
Wherein, described frequent access paths set is to carry out frequently according to user's history access sequence set
Access module excavation obtains.
Further, described carry out frequent access paths excavation according to user's history access sequence set,
Including:
Carry out pretreatment according to Web server log file and obtain user's history access sequence collection；
User's history access sequence collection is carried out frequent access paths excavation and obtains frequent access paths collection
Close.
Wherein, described carry out pretreatment according to Web server log file, including data purification,
User's identification, session identification, path supplement step.Described user's history access sequence collection is carried out frequency
Numerous access module excavates, and uses prefixspan data mining algorithm.
Each access sequence concentrated by user's access sequence of the present invention, with frequent access paths
Item in set mates, and uses the longest match selection method.
A kind of implementation of the present invention, the longest described match selection method, arrange and access sequence containing user
In row, web page joint number sets preset frequent access paths and frequently accesses mould as mate more than first
Formula.
The another kind of implementation of the present invention, the longest described match selection method, arrange and access sequence with user
In row, web page joint number mates the frequent access paths that most top n frequent access paths is coupling.
The present invention propose the most simultaneously a kind of personalized guide realize device, including:
Excavate module, excavate for carrying out frequent access paths according to user's history access sequence set
To frequent access paths set；
Identification module, for according to user access information, identifies user's access sequence collection；
Matching module, for each access sequence concentrated by user's access sequence, with frequently access
Item in set of modes mates, it is thus achieved that corresponding rule set；
Guide module, for being recommended as function boot-list by the consequent of strictly all rules in rule set
User.
Further, described excavation module, when carrying out frequent access paths and excavating, performs to operate as follows:
Carry out pretreatment according to Web server log file and obtain user's history access sequence collection；
User's history access sequence collection is carried out frequent access paths excavation and obtains frequent access paths collection
Close.
Wherein said excavation module is when carrying out pretreatment, to Web server log file number
Supplement process according to purification, user's identification, session identification, path；Carrying out frequent access paths excavation
Time, use prefixspan data mining algorithm.
Further, described matching module uses the longest match selection method to mate.
The implementation method of a kind of personalized guiding that the present invention proposes and device, by access user
Web log data carries out pretreatment, excavates and is frequently visited by the user set of modes, then matches rule
Then collect, to subscription client browser output function boot-list, it is simple to user selects next step will
The operation carried out.There is provided personalization to guide for next step operation of user, facilitate the operation of user, carry
Rise Consumer's Experience.
Accompanying drawing explanation
Fig. 1 is off-line process flow chart in a kind of personalized implementation method guided of the present invention；
Fig. 2 is a kind of personalized implementation method flow chart guided of the present invention；
Fig. 3 be the present invention a kind of personalized guide realize apparatus structure schematic diagram.
Detailed description of the invention
With embodiment, technical solution of the present invention is described in further details below in conjunction with the accompanying drawings, real below
Execute example and do not constitute limitation of the invention.
The general thought of the present invention is by web log data pretreatment, then utilizes prefixspan to calculate
Method excavates frequent access sequence set of modes from the web access log of user, then according to acquisition
User's current accessed sequence, utilize the longest match selection method to carry out in frequent access paths set
Join, thus obtain corresponding rule set, finally by Web server end program, regular collection is carried out
Process backward client browser output function boot-list.The present embodiment is with " emperor's diet room " Ali's cloud
Illustrating as a example by public calculating platform, " emperor's diet room " Ali's cloud public calculating platform is Taobao business
Family, independent software vendors, enterprise, scientific research institution provide precision marketing solution, businessman's investigation
Solution, membership promotion solution, enterprise's cloud data solution etc., user is exercisable
Options is the most, needs to provide the user and a kind of guides based on the function being frequently visited by the user pattern.
A kind of personalized implementation method guided of the present embodiment, including off-line process and online treatment
Process, illustrates individually below.
As it is shown in figure 1, off-line process be by Web server log file through data purification,
The steps such as user's identification, session identification, path supplement process, and obtain user's history access sequence
Set, then utilizes the prefixspan data mining algorithm after optimizing to user's history access sequence collection
Conjunction carries out frequent access paths excavation and obtains frequent access paths set, i.e. to user's history access sequence
Set carries out frequent access paths excavation and obtains frequent access paths set.
User's access on " emperor's diet room " Ali's cloud public calculating platform all records in Web service
In device journal file, by Web server log file through data purification, user's identification, session
After the steps such as identification, path supplement process, it is possible to obtain user's history access sequence set.Visit
Ask that sequence is the user once access to website, wherein comprise all pages joint once accessed
Point, the page node accessed is arranged as access sequence sequentially in time.
Specifically, data purification is to extract necessary field from Web server log file, as with
Family ID, time, page node ID etc.；It is the user that will be not logged on that user identifies, passes through cookie
ID is supplemented by table corresponding with ID；Session identification be by regulation time in units of such as
60 minutes, by the access path cutting of user be multiple session, i.e. cutting be multiple access sequence, often
The corresponding access sequence of individual session；Finally, for due to server sync data, having can
The page node that energy user accessed has the situation of loss, by site Diagrams, the path that will lose
On Bu Chonging, in order to follow-up analysis.After above-mentioned pretreatment, it becomes possible to obtain user's history and visit
Ask arrangement set.
Then utilize the prefixspan algorithm after optimizing that user's history access sequence set is carried out frequently
Access module excavates and obtains frequent access paths set, and concrete prefixspan algorithm realizes such as following table:
Wherein, the sequence pattern of input is equivalent to an access sequence, and the Frequent episodes finally exported
Pattern is exactly frequent access paths, the composition frequent access paths set of all of frequent access paths.Close
In prefixspan algorithm, for algorithm conventional in data mining, in data mining, conventional calculation
Method is also a lot, and such as Apriori algorithm etc. repeat no more here.
The core concept of online treatment part is, the user access information that client is collected is passed through Web
Server-side processes, obtains the access path of user, and conversate identification to the access path of user,
Obtain user's access sequence collection；Then each access sequence concentrated access sequence, utilizes the longest
Access sequence collection is mated by match selection method with the item in frequent access paths set, it is thus achieved that corresponding
Rule set；Finally the consequent of strictly all rules in rule set is recommended use as function boot-list
Family.
Specifically, as in figure 2 it is shown, comprise the steps:
S1, according to user access information, identify user's access sequence collection；
User logs in " emperor's diet room " Ali's cloud public calculating platform, " emperor's diet room " on the computer of oneself
Ali's cloud public calculating platform collects user access information by client browser, and mails to Ali's cloud
The rear end Web server of public calculating platform, user access information is conversated by Web server
Identify, in units of the time of regulation (such as 60 minutes), be many by the access path cutting of user
Individual session, i.e. cutting are multiple access sequence, obtain user's access sequence collection.With off-line process
Except for the difference that, obtain here is the current access sequence collection of user.
S2, each access sequence concentrated by user's access sequence, and in frequent access paths set
Item mate, it is thus achieved that corresponding rule set；
Use the longest match selection method, by each access sequence and the item in frequent access paths set
Mating, each item in frequent access paths set is exactly a frequent access paths.Use
Long match selection method, the item in the frequent access paths set i.e. matched contains in user's access sequence
Most of web page joint, such as can arrange the item in frequent access paths set contain user access
In sequence, web page joint number is more than 70%, then the item in this frequent access paths set is occurrence；Or
Person is arranged mates most top n frequent access paths and is with web page joint number in user's access sequence
The frequent access paths joined.
For example, it is assumed that user access sequence A1Include 10 web page joints, frequent access paths collection
Conjunction has B1, B2, B3Three frequent access paths are respectively and user access sequence A1Mate most
First three frequent access paths, wherein B1Comprise all user access sequence A110 webpages joint
Point, B2Comprise user access sequence A110 web page joints in 9, B3Comprise user to visit
Ask sequence A110 web page joints in 8, if the N set is as 3, then B1, B2,
B3Being the frequent access paths matched, their set is exactly rule set.
S3, the consequent of strictly all rules in rule set is recommended user as function boot-list.
Regular is consequent, refers to the web page joint that in rule, user's access list does not comprises, and these are visited
Ask that node is all the follow-up web page joint that may go to access of user.Such as B1The web page joint comprised
Assume there are 15, wherein have 10 identical with the web page joint in user's access sequence, then 5
Web page joint is exactly the web page joint that user may go to access.
Thus the consequent of strictly all rules is recommended user as function boot-list, browsing user
It is shown as mask on device, selects for user.Thus user can directly select in mask and want to access
Web page joint, it is achieved directly access.
Such as in the data engine region of " emperor's diet room " Ali's cloud public calculating platform, user is mouse
After being placed in data mining module, according to the historical operation of this user, excavate the frequent of this user
Pattern is also stored in data base, now user's current accessed sequence (the most current courses of action)
As parameter, find down from the frequent access paths set of this user according to " the longest match pattern "
Single stepping collection, such as " going to authorization center ", and passes to the user operation page, and now the page is dynamic
Change navigation tag in link, options shows in navigation tag " will to go to authorization center " etc.
In, selecting for user, navigation tag shows on user browser with the form of mask.
What the present embodiment a kind of personalization based on said method guided realizes device, as it is shown on figure 3,
Including:
Excavate module, excavate for carrying out frequent access paths according to user's history access sequence set
To frequent access paths set；
Identification module, for according to user access information, identifies user's access sequence collection；
Matching module, for each access sequence concentrated by user's access sequence, with frequently access
Item in set of modes mates, it is thus achieved that corresponding rule set；
Guide module, for being recommended as function boot-list by the consequent of strictly all rules in rule set
User.
The present embodiment excavation module, when carrying out frequent access paths and excavating, performs to operate as follows:
Carry out pretreatment according to Web server log file and obtain user's history access sequence collection；
User's history access sequence collection is carried out frequent access paths excavation and obtains frequent access paths collection
Close.
Wherein excavation module is when carrying out pretreatment, needs Web server log file number
Supplement process according to purification, user's identification, session identification, path；Carrying out frequent access paths excavation
Time, use prefixspan data mining algorithm.
In the present embodiment, matching module uses the longest match selection method to mate.
Above example is only limited in order to technical scheme to be described, is not carrying on the back
In the case of present invention spirit and essence thereof, those of ordinary skill in the art work as can be according to the present invention
Make various corresponding change and deformation, but these change accordingly and deformation all should belong to institute of the present invention
Attached scope of the claims.
Claims (14)
1. the personalized implementation method guided, it is characterised in that including:
According to user access information, identify user's access sequence collection；
Each access sequence concentrated by user's access sequence, with the item in frequent access paths set
Mate, it is thus achieved that corresponding rule set；
The consequent of strictly all rules in rule set is recommended user as function boot-list；
Wherein, described frequent access paths set is to carry out frequently according to user's history access sequence set
Access module excavation obtains.
Method the most according to claim 1, it is characterised in that described according to the visit of user's history
Ask that arrangement set carries out frequent access paths excavation, including:
Carry out pretreatment according to Web server log file and obtain user's history access sequence collection；
User's history access sequence collection is carried out frequent access paths excavation and obtains frequent access paths collection
Close.
Method the most according to claim 2, it is characterised in that described according to Web server
Journal file carries out pretreatment, supplements step including data purification, user's identification, session identification, path
Suddenly.
Method the most according to claim 2, it is characterised in that described to the access of user's history
Sequence sets carries out frequent access paths excavation, uses prefixspan data mining algorithm.
Method the most according to claim 1, it is characterised in that described by user's access sequence
Each access sequence concentrated, mates with the item in frequent access paths set, uses the longest
Match selection method.
Method the most according to claim 5, it is characterised in that the longest described match selection method,
The frequent access paths preset more than the first setting containing web page joint number in user's access sequence is set
Frequent access paths for coupling.
Method the most according to claim 5, it is characterised in that the longest described match selection method,
Arrange and mate most top n frequent access paths with web page joint number in user's access sequence and be
The frequent access paths joined.
8. one kind personalized guide realize device, it is characterised in that including:
Excavate module, excavate for carrying out frequent access paths according to user's history access sequence set
To frequent access paths set；
Identification module, for according to user access information, identifies user's access sequence collection；
Matching module, for each access sequence concentrated by user's access sequence, with frequently access
Item in set of modes mates, it is thus achieved that corresponding rule set；
Guide module, for being recommended as function boot-list by the consequent of strictly all rules in rule set
User.
Device the most according to claim 8, it is characterised in that described excavation module is being carried out
When frequent access paths excavates, perform to operate as follows:
Carry out pretreatment according to Web server log file and obtain user's history access sequence collection；
User's history access sequence collection is carried out frequent access paths excavation and obtains frequent access paths collection
Close.
Device the most according to claim 9, it is characterised in that described excavation module is being carried out
During pretreatment, perform to operate as follows:
Web server log file is carried out data purification, user's identification, session identification, path
Supplement and process.
11. devices according to claim 9, it is characterised in that described excavation module is being carried out
When frequent access paths excavates, use prefixspan data mining algorithm.
12. devices according to claim 8, it is characterised in that described matching module uses
Long match selection method is mated.
13. devices according to claim 12, it is characterised in that the longest described match selection
Method, arrange containing web page joint number in user's access sequence preset more than the first setting frequently access mould
Formula is the frequent access paths of coupling.
14. devices according to claim 12, it is characterised in that the longest described match selection
Method, setting is mated most top n frequent access paths with web page joint number in user's access sequence and is
The frequent access paths of coupling.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510404313.8A CN106326320A (en) | 2015-07-09 | 2015-07-09 | Method and device for realizing personal guidance |
| PCT/CN2016/087465 WO2017005119A1 (en) | 2015-07-09 | 2016-06-28 | Method and device for implementing individualized guidance |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510404313.8A CN106326320A (en) | 2015-07-09 | 2015-07-09 | Method and device for realizing personal guidance |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106326320A true CN106326320A (en) | 2017-01-11 |
Family
ID=57684871
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510404313.8A Pending CN106326320A (en) | 2015-07-09 | 2015-07-09 | Method and device for realizing personal guidance |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN106326320A (en) |
| WO (1) | WO2017005119A1 (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108334646A (en) * | 2018-04-11 | 2018-07-27 | 焦点科技股份有限公司 | A kind of link structure optimization method based on frequent browsing sequence |
| CN109301860A (en) * | 2018-09-14 | 2019-02-01 | 淮南矿业(集团)有限责任公司 | Photovoltaic plant concentrates operation system and its hardware structure |
| CN109491498A (en) * | 2018-10-31 | 2019-03-19 | 广州致远电子有限公司 | Man-machine interaction method, system, terminal device and computer readable storage medium |
| CN110018871A (en) * | 2019-03-12 | 2019-07-16 | 中国平安财产保险股份有限公司 | The operation indicating method, apparatus and computer readable storage medium of system |
| CN111723134A (en) * | 2019-03-19 | 2020-09-29 | 北京京东尚科信息技术有限公司 | Information processing method, information processing device, electronic equipment and storage medium |
| CN112559107A (en) * | 2020-12-24 | 2021-03-26 | 平安普惠企业管理有限公司 | Application program guide method and device, computer equipment and storage medium |
| CN112632384A (en) * | 2020-12-25 | 2021-04-09 | 北京百度网讯科技有限公司 | Data processing method and device for application program, electronic equipment and medium |
| CN114065094A (en) * | 2021-11-24 | 2022-02-18 | 中国银联股份有限公司 | Webpage operation intelligent feedback method, system and device and readable storage medium |
| CN114882974A (en) * | 2022-05-27 | 2022-08-09 | 江苏智慧智能软件科技有限公司 | Psychological diagnosis database access artificial intelligence verification system and method |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112231598B (en) * | 2020-08-31 | 2024-06-04 | 咪咕文化科技有限公司 | Webpage path navigation method and device, electronic equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102929939A (en) * | 2012-09-28 | 2013-02-13 | 北京奇虎科技有限公司 | Personalized information supply method and device |
| CN103092471A (en) * | 2013-01-04 | 2013-05-08 | 深圳市中兴移动通信有限公司 | Implement method and terminal for dynamic function menus |
| US20140108200A1 (en) * | 2012-10-12 | 2014-04-17 | Alibaba Group Holding Limited | Method and system for recommending search phrases |
| CN103885968A (en) * | 2012-12-20 | 2014-06-25 | 北京百度网讯科技有限公司 | Method and device for providing recommended information |
| CN104199874A (en) * | 2014-08-20 | 2014-12-10 | 哈尔滨工程大学 | Webpage recommendation method based on user browsing behaviors |
-
2015
- 2015-07-09 CN CN201510404313.8A patent/CN106326320A/en active Pending
-
2016
- 2016-06-28 WO PCT/CN2016/087465 patent/WO2017005119A1/en active Application Filing
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102929939A (en) * | 2012-09-28 | 2013-02-13 | 北京奇虎科技有限公司 | Personalized information supply method and device |
| US20140108200A1 (en) * | 2012-10-12 | 2014-04-17 | Alibaba Group Holding Limited | Method and system for recommending search phrases |
| CN103885968A (en) * | 2012-12-20 | 2014-06-25 | 北京百度网讯科技有限公司 | Method and device for providing recommended information |
| CN103092471A (en) * | 2013-01-04 | 2013-05-08 | 深圳市中兴移动通信有限公司 | Implement method and terminal for dynamic function menus |
| CN104199874A (en) * | 2014-08-20 | 2014-12-10 | 哈尔滨工程大学 | Webpage recommendation method based on user browsing behaviors |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108334646A (en) * | 2018-04-11 | 2018-07-27 | 焦点科技股份有限公司 | A kind of link structure optimization method based on frequent browsing sequence |
| CN109301860A (en) * | 2018-09-14 | 2019-02-01 | 淮南矿业(集团)有限责任公司 | Photovoltaic plant concentrates operation system and its hardware structure |
| CN109491498A (en) * | 2018-10-31 | 2019-03-19 | 广州致远电子有限公司 | Man-machine interaction method, system, terminal device and computer readable storage medium |
| CN110018871A (en) * | 2019-03-12 | 2019-07-16 | 中国平安财产保险股份有限公司 | The operation indicating method, apparatus and computer readable storage medium of system |
| CN111723134A (en) * | 2019-03-19 | 2020-09-29 | 北京京东尚科信息技术有限公司 | Information processing method, information processing device, electronic equipment and storage medium |
| CN112559107A (en) * | 2020-12-24 | 2021-03-26 | 平安普惠企业管理有限公司 | Application program guide method and device, computer equipment and storage medium |
| CN112632384A (en) * | 2020-12-25 | 2021-04-09 | 北京百度网讯科技有限公司 | Data processing method and device for application program, electronic equipment and medium |
| CN114065094A (en) * | 2021-11-24 | 2022-02-18 | 中国银联股份有限公司 | Webpage operation intelligent feedback method, system and device and readable storage medium |
| WO2023093207A1 (en) * | 2021-11-24 | 2023-06-01 | 中国银联股份有限公司 | Intelligent webpage operation feedback method, system and apparatus, and readable storage medium |
| CN114882974A (en) * | 2022-05-27 | 2022-08-09 | 江苏智慧智能软件科技有限公司 | Psychological diagnosis database access artificial intelligence verification system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2017005119A1 (en) | 2017-01-12 |
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Application publication date: 20170111 |