CN102354315A - Generation method of site navigation page and device thereof - Google Patents
Generation method of site navigation page and device thereof Download PDFInfo
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Abstract
The invention provides a generation method of a site navigation page and a device of the site navigation page, and relates to the field of a network technology. The method comprises the steps of: obtaining site browsing record of a user; classifying the recorded sites according to a site classifying rule; counting the access frequency of each site category according to the record; sequencing each site category according to the counted access frequency of the user to each site category; selecting the sites of a plurality of site categories with previous sequences to be distributed to an appointed position; and selecting the sites in each site category with distributed positions according to the rule to be put into the corresponding position so as to be displayed. The invention is used for classifying each site accessed by the user according to the site classifying rule; counting the access frequency of each category by taking the category as a unit; and distributing the corresponding display place to each category with the previous sequences according to the sequences of the access frequency to be displayed. Therefore, the sites with the categories which are usually accessed by the user can be provided to the user more objectively, exactly and comprehensively.
Description
Technical field
The application relates to networking technology area, particularly relates to a kind of Web side navigation page generation method and device.
Background technology
Along with networks development; The quantity of website is also more and more; More and more huger; The user may visit a plurality of websites; But the website that each user has him to be accustomed to and often to visit by oneself; Often all to re-enter the network address of those websites in the website of visit if the user visits him at every turn, so then have a lot of inconvenient parts.
In the prior art, the one, the user can conduct interviews through collection then, but this mode be the subjective collection network address of user that the network address that can not objectively the user be used always shows through collection with oneself needing the network address of the website of visit to collect; The 2nd, the user can be through some network address of often visiting of navigation website visit; But navigation website just links some regular more well-known network address or network address with advertisement character, does not link the often network address of the website of visit of user probably; The 3rd, browser is through serving as according to calculating the network address that frequentation is asked with access times and access modes; Such as network address of every visit; Corresponding weights number of times adds up; Add up last access times; Weights such as directly input are 2; Collection is 1; Visit the result that twice baidu.com calculate at last so and be 2+1=3; But a lot of network address users only visit once every day or several times; Can't arrange the front of the access list of network access location, cause the user seeing, like the news homepage; Certain stock webpage; So-and-so sub-district forum, possible visit every day once or several times, perhaps per 2; Visit in 3 days once, these often network address of visit be to count on the front that tabulation is asked in frequentation through simple calculation times.
In these modes, all can exist the user maybe needs the website of some classification of visit not in the situation of access list; Such as ought frequentation asking that tabulation only shows nine websites; But arranged by network address the order show after; The website of possible certain two classification has just occupied all display positions; Also often visit the website of other classifications as the user; But relatively more after a little while, the user just can't ask such other network address of visit in the tabulation in frequentation to the visit of such other each network address.
Summary of the invention
The application's technical matters to be solved provides a kind of Web side navigation page generation method and device, and separating must not be with the most normal website of a plurality of classification explicit user visits problem.
In order to address the above problem, the application discloses a kind of Web side navigation page generation method, comprising:
Data acquisition step is obtained user's network address and is browsed record;
Classifying step is classified to the network address in the said record according to the network address classifying rules;
Statistic procedure according to said record, is added up the access frequency of each network address classification;
Ordered steps sorts each network address classification to the access frequency of each network address classification according to the user of said statistics;
The location assignment step selects the network address of the forward a plurality of network address classifications of ordering to be assigned to assigned address;
The network address step display is put into the relevant position by the network address in each network address classification of the said distribution locations of rule selection and is shown.
Preferably, described statistic procedure comprises:
Step S1 according to said record, adds up the access frequency of each network address;
Step S2, according to the access frequency of each network address, the access frequency of network address in of all categories added up obtains access frequency of all categories.
Preferably, described frequency is: is certain value for user in a period of time to its frequency of the all-access of network address record.
Preferably, said location assignment step comprises:
According to network address classification ranking results, position in each distributing labels page or leaf of a plurality of network address classifications that will sort forward in order;
Perhaps, based on the access frequency proportion of each network address classification, by rule a plurality of positions of corresponding distribution in Shipping Options Page.
Preferably, also comprise:
Classification is added step, when all clients to total access frequency of an incident address correlation greater than threshold value, then with this incident as new classification adding classifying rules.
Preferably, after described classifying step, also comprise:
Network address merger step, with in each network address classification with the network address of merger network address name simple correlation, will carry out merger according to merger network address list.
Preferably, in the step display of said website:
For each said network address classification, according to the ordering of each network address access frequency in this network address classification, one or more that ordering is forward put into the relevant position and shown.
Preferably, before said network address step display, also comprise:
Steps A 1, according to said record, to the access times of each network address, and/or access mode is added up;
Steps A 2 sorts to said a plurality of network address according to a plurality of network address access times and/or access mode separately of said statistics.
Preferably, it is characterized in that:
After said statistic procedure, also comprise:
Merger network address list step of updating when the access frequency of a network address during greater than threshold value, adds merger network address list with this network address.
Preferably, also comprise after the ordering of each network address access frequency in said according to this network address classification:
Network address deletion step: the network address that belongs to blacklist in the ordering network address is deleted according to blacklist;
And/or blacklist is removed step: network address in the blacklist that is provided with to the user, when user in a period of time to the access frequency of a network address greater than threshold value, then it is deleted from blacklist.
Disclosed herein as well is a kind of Web side navigation page generating apparatus accordingly, comprising:
Data acquisition module, the network address that is used to obtain the user is browsed record;
Sort module is used for according to the network address classifying rules network address of said record being classified;
Statistical module is used for according to said record the access frequency of each network address classification being added up;
Order module is used for according to the user of said statistics the access frequency of each network address classification being sorted each network address classification;
The location assignment module, the network address of the forward a plurality of network address classifications that are used to select to sort is assigned to assigned address;
The network address display module is used for selecting the network address of each network address classification of said distribution locations to put into the relevant position by classifying rules and shows.
Preferably, described statistical module comprises:
First statistical module is used for according to said record the access frequency of each network address being added up;
Second statistical module is used for the access frequency according to each network address, and the access frequency of network address in of all categories is added up obtains total access frequency of all categories.、
Preferably, also comprise after the said sort module:
Classification is added module, be used for when all clients total access frequency of an incident address correlation greater than threshold value, then with this incident as new classification adding classifying rules.
Compared with prior art, the application comprises following advantage:
The application is through classifying each network address of user capture earlier according to the network address classifying rules; Be earlier unit statistics access frequency of all categories then with the classification; Show for the forward corresponding display position of distribution of all categories of ordering according to the ordering of this access frequency again, like this can be more objective, more accurately, to the user user is provided the website of a plurality of classifications that frequentation is asked more comprehensively.
Description of drawings
Fig. 1 is the schematic flow sheet of the embodiment of a kind of Web side navigation page generation method of the application;
Fig. 2 is the structural representation of the embodiment of a kind of Web side navigation page of the application generating apparatus.
Embodiment
For above-mentioned purpose, the feature and advantage that make the application can be more obviously understandable, the application is done further detailed explanation below in conjunction with accompanying drawing and embodiment.
With reference to Fig. 1, show the schematic flow sheet of the embodiment of a kind of Web side navigation page generation method of the application, said method comprises:
After user's open any browser, the application can obtain the user's of browsing history the inside network address and browse record, calculates the network address that the frequentation of user is asked then.It is more than the demonstration number of assigned address to preset the number of calculating generally speaking.Calculate 30 network address that frequentation is asked such as obtaining the preceding 10 days record of browsing after user's open any browser every day in the browsing history, the assigned address acquiescence shows forward 9 of rank.
All leave in the User Catalog such as all generally speaking historical records, as under the win7 Users user name AppData, exist with the form in self-defining data storehouse.
Classifying step 120 is classified to the network address in the said record according to the network address classifying rules.
Such as preestablishing the network address classification is classifications such as physical culture, music, film and television, news, recreation, and the network address that the user who acquires is browsed divides to go into each classification according to these classifications by certain rule then.Such as, browse each network address in the record for user's network address, at first add up the keyword set of a network address, carry out similarity coupling with the keyword set of the network address classification of classifying then, if greater than threshold value then this network address belongs to said network address classification.
After described classifying step, also comprise:
Network address merger step, with in each network address classification with the network address of merger network address name simple correlation, will carry out merger according to merger network address list.
After the network address that gets access to the user is browsed record; For in the said record that belongs to each network address classification with the network address of merger network address name simple correlation; According to merger network address list, the record of said network address being browsed the subordinate's network address that belongs to the same network address in the merger network address list in the record is integrated under the network address in the affiliated merger network address list.
Such as situation, weibo.com/atme is integrated into does statistics among the weibo.com in order to prevent to avoid weibo.com and weibo.com/atme to add up respectively.Adopt the mechanism of merger network address list: weibo.com/atme is integrated among the weibo.com; Promptly when user capture weibo.com/atme, current system is contributed among the weibo.com; Network address list tabulation is installed file with browser and is installed to this machine of user automatically, and listing file can be along with the browser updated at any time of upgrading.
Said merger network address list can be through thinking setting, also can be through the intelligence learning setting.Such as; For a well-known door network address; Such as Netease; Can be rule of thumb; Directly the network address of Netease's homepage and the network address of Netease's news are all put into merger network address list; If directly visit Netease's news network address and its sublink; Rather than the connected reference Netease news network address through Netease's homepage network address; Then these Visitor Logs are integrated under Netease's news network address; Visit if not direct Netease news network address and its sublink; Then be integrated into the visit of Netease's homepage, other situation can be handled through similar principle.Perhaps; When the access frequency of certain network address very high; Then it is added merger network address list; Such as; The network address of the relevant Netease that begins most to contain in the merger network address list has only Netease's homepage network address; All Visitor Logs relevant with Netease all can be integrated into Netease's homepage network address; But the frequency of directly visiting Netease's news network address as certain user is far longer than the frequency of visiting Netease's homepage; Then engine adds merger network address list through intelligence learning with Netease's news, and the record that thing is directly visited Netease's news all is integrated into below Netease's news network address.Statistic procedure 130 according to said record, is added up the access frequency of each network address classification.
Described statistic procedure comprises:
Step S1 according to said record, adds up the access frequency of each network address;
Wherein this step can also be according to said record, and to the access times of each network address, and/or access mode is added up.
Browse record to the aforementioned network address that obtains, the access frequency of each network address is added up.Wherein, described frequency is: is certain value for user in a period of time to its frequency of the all-access of network address record.Such as described frequency be: when user in a period of time has visit to a network address, then recording frequency is 1; The user does not have visit to a network address in a period of time, and then recording frequency is 0.Such as being unit with the sky, no matter to a network address visit how many times, the frequency that the network address after its merger is write down all is recorded as 1 in one day again, if do not visit the address correlation of this network address the same day, the frequency that the network address after its merger is write down all is recorded as 0.Certainly, also can 12 hours, waited in 6 hours for unit to frequency being carried out similar statistics, only need this time period to cross over certain limit and get final product.Can also add up access times, access mode of network address etc.
Step S2, according to the access frequency of each network address, the access frequency of network address in of all categories added up obtains total access frequency of all categories.
The access frequency of all network address in the same network address classification added up obtain the access frequency of this network address classification; Is 4 such as user in a period of time to the access frequency of the website A of sport category; Access frequency of network address B to such is 5, and this user is 9 to the access frequency of Sport Class so.So the access frequency of each network address classification is added up.
Also can come the number of times of access frequency and each access mode of final each network address classification of statistics to the access times of network address and the statistics of access mode in addition according to aforementioned.
Ordered steps 140 sorts each categories of websites to the access frequency of each network address classification according to the user of said statistics.
Such as the user to the access frequency of Sport Class be 50, the access frequency of music categories is 28, the access frequency of film and television classification is 90, the sequencing of having arranged so after the order is: film and television classification, Sport Class, music categories.Location assignment step 150 selects the network address of the forward a plurality of network address classifications of ordering to be assigned to assigned address.
Wherein, preferred, can be according to network address classification ranking results, position in each distributing labels page or leaf of a plurality of network address classifications that will sort forward in order.
Such as, as Shipping Options Page, just this Shipping Options Page is divided into nine lattice (i.e. nine positions) then with the blank page newly opened, and every lattice can corresponding network address classification.After the ordering that has obtained each network address classification through abovementioned steps, can get nine forward network address classifications of ordering and be assigned to this nine lattice display position respectively.Wherein, the order that nine network address classifications that sort forward are distributed can preset, such as beginning from top first row; From upper left to the bottom right order place, perhaps first arrange the beginning from the left side, place from top to bottom etc.; Perhaps these nine grid are compiled and edited order, place by the ordering size.Perhaps, in certain start page, add a label hurdle, the forward network address classification of ordering is distributed in order a plurality of positions on this label hurdle.
Perhaps, can be based on the access frequency proportion of each network address classification, by rule a plurality of positions of corresponding distribution in Shipping Options Page.
Such as; With the blank page newly opened as Shipping Options Page; Just this Shipping Options Page is divided into nine lattice (i.e. nine positions) then; Every lattice can corresponding network address classification; For the forward a plurality of network address classifications of ordering; The proportion that the access frequency of first classification accounts for total access frequency if wherein sort is above 50%; Then distribute more position to give this classification; Such as giving 4 positions; The access frequency of second the network address classification of sorting then accounts for to such an extent that classification has only 20%; Then distribute 2 positions, the access frequency of the 3rd the network address classification of sorting then accounts for 15%, then distributes 1 position; The access frequency of the 4th the network address classification of sorting then accounts for 8%; Then distribute 1 position, the access frequency of the 5th the network address classification of sorting then accounts for 5%, then distributes 1 position.Perhaps, in certain start page, add a label hurdle, the network address classification that ordering is forward is distributed a plurality of positions on this label hurdle by said proportion.
Network address step display 160 is put into the relevant position by the network address in each network address classification of the said distribution locations of rule selection and is shown.
Preferably, for each said network address classification, according to the ordering of each network address access frequency in this network address classification, one or more that ordering is forward put into the relevant position and shown.
Wherein, also comprise steps A 1, according to said record, to the access times of each network address, and/or access mode is added up;
Steps A 2 sorts to said a plurality of network address according to a plurality of network address access times and/or access mode separately of said statistics.
Like table one is to browse with the network address in certain network address classification of 7 days to be recorded as example and to describe.
| First day | Second day | The 3rd day | The 4th day | The 5th day | The 6th day | The 7th day | |
| The A website | 1 time | 1 time | 1 time | 1 time | 1 time | 1 time | 1 time |
| The B website | 4 times | 4 times | 4 times | 4 times | 4 times | ||
| The C website | 2 times | 2 times | |||||
| The C1 website | 2 times | 2 times | |||||
| The D website | 100 times | ||||||
Table one
Current have 4 network address A, B, C, C1, a D (wherein C1 is the subnet location of C)
The A network address is only visited once interior every day in a week in the past, all visits in the week at that time;
The B network address had in 5 days in the week in the past visited, and visited every day 4 times;
The C network address had in 2 days in the week in the past visited, and visited every day 2 times;
The C1 network address is the subnet location of C network address, has in 2 days in the week in the past and visits, and visits every day 2 times;
The D network address had only visited in one day in the week in the past, had visited 100 times;
In merger network address list, have: network address A, network address B, network address C, network address D.
The record of C1 network address just need be integrated under the record of network address C so, then has the C network address to have in 4 days in the week in the past and visits, and visits every day 4 times.
The frequency of thinking user capture is that standard is calculated, and supposes that the user visited once every day, promptly remembers and gives corresponding network address:
Each network address is F value (frequency) to a frequency should be arranged
The F of A network address is 1+1+1+1+1+1+1=7 F=7
The F of B network address is 1+1+0+0+1+1+1=5 F=5
The F of C network address is 1+1+1+1+0+0+0=5 F=4
The F of D network address is 0+0+0+0+1+0+0=1 F=1
The A network address has only been visited in one week 7 times though the D network address has been visited in one week 100 times
So last rank is ABCD, then that rank is the forward assigned address of putting into is showed.
Like table two is in this network address classification, when the network address access frequency occurring when identical, and the example that the network address of same frequency is sorted through the network address access times.
| First day | Second day | The 3rd day | The 4th day | The 5th day | The 6th day | The 7th day | |
| The A website | 1 time | 1 time | 1 time | 1 time | 1 time | 1 time | 1 time |
| The B website | 4 times | 4 times | 4 times | 4 times | 4 times | ||
| The C website | 2 times | 2 times | 2 times | ||||
| The C1 website | 2 times | 2 times | |||||
| The D website | 100 times | ||||||
Table two
Current have 4 network address A, B, C, C1, a D (wherein C1 is the subnet location of C)
The A network address is only visited once interior every day in a week in the past, all visits in the week at that time;
The B network address had in 5 days in the week in the past visited, and visited every day 4 times;
The C network address had in 2 days in the week in the past visited, and visited every day 2 times;
The C1 network address is the subnet location of C network address, has in 2 days in the week in the past and visits, and visits every day 2 times;
The D network address had only visited in one day in the week in the past, had visited 100 times;
In merger network address list, have: network address A, network address B, network address C, network address D.
The record of C1 network address just need be integrated under the record of network address C so, then has the C network address to have in 4 days in the week in the past and visits, and visits every day 4 times.
The frequency of thinking user capture is that standard is calculated, and supposes that the user visited once every day, promptly remembers and gives corresponding network address:
Again the access times of each network address are done to add up and draw C value (count)
The F of A network address is that the C of 1+1+1+1+1+1+1=7 F=7A network address is 1+1+1+1+1+1+1=7 C=7
The F of B network address is that the C of 1+1+0+0+1+1+1=5 F=5B network address is 4+4+0+0+4+4+4=5 C=20
The F of C network address is that the C of 1+1+1+1+1+0+0=5 F=5C network address is 2+2+0+0+2+2+2=5 C=10
The F of D network address is that the C of 0+0+0+0+1+0+0=1 F=0D network address is 0+0+0+0+100+0+0=1 C=100
The A network address has only been visited in one week 7 times though the D network address has been visited in one week 100 times, because the F value of A is greater than B, C and D, the F value of the F value of B network address and C network address is identical at this moment, but the C value of B network address is greater than the C network address, so and last rank still is ABCD.
Wherein, When the access frequency of a plurality of network address is identical; If with access times is preferential sequencing selection; With access mode is secondary sequencing selection; So when the user capture frequency of a plurality of network address is identical with access times, said a plurality of network address are sorted according to a plurality of network address access mode separately of said statistics.Wherein said sortord is such as comprising that address field directly imports, and the collection mode is visited, and clicks the mode of opening from page link.Such as when the user capture frequency of a plurality of network address is identical with access times; Can be at first by address field directly the statistics of the mode of input sort; Also can sort, also can sort by the statistics that page link is clicked the mode open by the statistics of collection mode access modes.In addition,, can sort with statistics again when identical such as the number of times of the mode of directly importing when user capture frequency, access times and the address field of a plurality of network address by collection mode access modes.Other situation principle are according to this analogized and are carried out sequencer procedure.This wherein; Also priority can be set between the various access modes; Access times ordering such as the mode of directly importing with address field at first; If also have identical; Sort with collection mode access times again; If also have identically, click the mode open from page link again and send out the access times ordering.
Wherein, also comprise after the ordering of each network address access frequency in said according to this network address classification:
Network address deletion step: the network address that belongs to blacklist in the ordering network address is deleted according to blacklist.Generally speaking; If the user with certain network address after display page deletion; Engine just adds blacklist with the network address of this network address; Among follow-up ordering of obtaining the list that the frequentation of user asks network address again; If this network address; Then this network address is deleted among sorting, the network address after this network address ordering then order shifts to an earlier date one.
Comprise that also blacklist removes step: network address in the blacklist that is provided with to the user, when user in a period of time to the access frequency of a network address greater than threshold value, then it is deleted from blacklist.
For the network address in blacklist; If the user is the network address in (in such as 10 days) this blacklist of frequent visit in a certain period; Then engine is judged it; When user in a period of time to the access frequency of this network address greater than threshold value; Then it is deleted from blacklist; If its rank is forward, and meets the requirements, can puts it into assigned address and show.
In addition, also can directly show on the position the highest network address of all client-access frequencies in the corresponding network address classification.
In addition, after said statistic procedure, also comprise:
Merger network address list step of updating when the access frequency of a network address during greater than threshold value, adds merger network address list with this network address.
In addition, the application comprises that also classification adds step, when all clients to total access frequency of an incident address correlation greater than threshold value, then with this incident as new classification adding classifying rules.
Such as; In a period of time in the network, give very big concern to a certain incident; A large amount of clients is frequently browsed each website webpage relevant with this incident; Such as with " the 2008 Beijing Olympic Games " relevant webpage; All terminals are higher than threshold value to the access frequency of this incident; Then webpage that separately will be relevant with " the 2008 Beijing Olympic Games " is browsed webpage branch relevant with this incident in the record according to this classification with user's network address and is gone into this classification as a classification.
With reference to Fig. 2, be the structural representation of the embodiment of a kind of Web side navigation page of the application generating apparatus, comprising:
Network address display module 460 is used for selecting the network address of each network address classification of said distribution locations to put into the relevant position by classifying rules and shows.
Wherein, described statistical module comprises:
First statistical module is used for according to said record the access frequency of each network address being added up;
Second statistical module is used for the access frequency according to each network address, and the access frequency of network address in of all categories is added up obtains total access frequency of all categories.、
Wherein, also comprise after the said sort module:
Classification is added module, be used for when all clients total access frequency of an incident address correlation greater than threshold value, then with this incident as new classification adding classifying rules.
After described sort module, also comprise:
Network address merger module, with in each network address classification with the network address of merger network address name simple correlation, will carry out merger according to merger network address list.
Wherein, preferred, display module is used for for each said network address classification in said website, and according to the ordering of each network address access frequency in this network address classification, one or more that ordering is forward put into the relevant position and shown.
Wherein, before said network address display module, also comprise:
Submodule one, according to said record, to the access times of each network address, and/or access mode is added up;
Submodule two sorts to said a plurality of network address according to a plurality of network address access times and/or access mode separately of said statistics.
Wherein, after said statistical module, also comprise:
Merger network address list update module when the access frequency of a network address during greater than threshold value, adds merger network address list with this network address.
Wherein, also comprise after the ordering of each network address access frequency in said according to this network address classification:
Network address removing module: the network address that belongs to blacklist in the ordering network address is deleted according to blacklist;
And/or blacklist is removed module: network address in the blacklist that is provided with to the user, when user in a period of time to the access frequency of a network address greater than threshold value, then it is deleted from blacklist.
For system embodiment, because it is similar basically with method embodiment, so description is fairly simple, relevant part gets final product referring to the part explanation of method embodiment.
Each embodiment in this instructions all adopts the mode of going forward one by one to describe, and what each embodiment stressed all is and the difference of other embodiment that identical similar part is mutually referring to getting final product between each embodiment.
More than to a kind of Web side navigation page generation method and device that the application provided; Carried out detailed introduction; Used concrete example among this paper the application's principle and embodiment are set forth, the explanation of above embodiment just is used to help to understand the application's method and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to the application's thought, the part that on embodiment and range of application, all can change, in sum, this description should not be construed as the restriction to the application.
Claims (13)
1. a Web side navigation page generation method is characterized in that, comprising:
Data acquisition step is obtained user's network address and is browsed record;
Classifying step is classified to the network address in the said record according to the network address classifying rules;
Statistic procedure according to said record, is added up the access frequency of each network address classification;
Ordered steps sorts each network address classification to the access frequency of each network address classification according to the user of said statistics;
The location assignment step selects the network address of the forward a plurality of network address classifications of ordering to be assigned to assigned address;
The network address step display is put into the relevant position by the network address in each network address classification of the said distribution locations of rule selection and is shown.
2. method according to claim 1 is characterized in that, described statistic procedure comprises:
Step S1 according to said record, adds up the access frequency of each network address;
Step S2, according to the access frequency of each network address, the access frequency of network address in of all categories added up obtains access frequency of all categories.
3. method according to claim 2 is characterized in that:
Described frequency is: is certain value for user in a period of time to its frequency of the all-access of network address record.
4. according to the described method of claim 1, it is characterized in that said location assignment step comprises:
According to network address classification ranking results, position in each distributing labels page or leaf of a plurality of network address classifications that will sort forward in order;
Perhaps, based on the access frequency proportion of each network address classification, by rule a plurality of positions of corresponding distribution in Shipping Options Page.
5. method according to claim 1 is characterized in that, also comprises:
Classification is added step, when all clients to total access frequency of an incident address correlation greater than threshold value, then with this incident as new classification adding classifying rules.
6. method according to claim 1 is characterized in that:
After described classifying step, also comprise:
Network address merger step, with in each network address classification with the network address of merger network address name simple correlation, will carry out merger according to merger network address list.
7. method according to claim 1 is characterized in that, in the step display of said website:
For each said network address classification, according to the ordering of each network address access frequency in this network address classification, one or more that ordering is forward put into the relevant position and shown.
8. method according to claim 7 is characterized in that, before said network address step display, also comprises:
Steps A 1, according to said record, to the access times of each network address, and/or access mode is added up;
Steps A 2 sorts to said a plurality of network address according to a plurality of network address access times and/or access mode separately of said statistics.
9. method according to claim 8 is characterized in that:
After said statistic procedure, also comprise:
Merger network address list step of updating when the access frequency of a network address during greater than threshold value, adds merger network address list with this network address.
10. method according to claim 9 is characterized in that, also comprises after the ordering of each network address access frequency in according to this network address classification said:
Network address deletion step: the network address that belongs to blacklist in the ordering network address is deleted according to blacklist;
And/or blacklist is removed step: network address in the blacklist that is provided with to the user, when user in a period of time to the access frequency of a network address greater than threshold value, then it is deleted from blacklist.
11. a Web side navigation page generating apparatus is characterized in that, comprising:
Data acquisition module, the network address that is used to obtain the user is browsed record;
Sort module is used for according to the network address classifying rules network address of said record being classified;
Statistical module is used for according to said record the access frequency of each network address classification being added up;
Order module is used for according to the user of said statistics the access frequency of each network address classification being sorted each network address classification;
The location assignment module, the network address of the forward a plurality of network address classifications that are used to select to sort is assigned to assigned address;
The network address display module is used for selecting the network address of each network address classification of said distribution locations to put into the relevant position by classifying rules and shows.
12. device according to claim 11 is characterized in that, described statistical module comprises:
First statistical module is used for according to said record the access frequency of each network address being added up;
Second statistical module is used for the access frequency according to each network address, and the access frequency of network address in of all categories is added up obtains total access frequency of all categories.、
13. device according to claim 11 is characterized in that, also comprises after the said sort module:
Classification is added module, be used for when all clients total access frequency of an incident address correlation greater than threshold value, then with this incident as new classification adding classifying rules.
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| CN201110284221.2A CN102354315B (en) | 2011-09-22 | 2011-09-22 | Generation method of site navigation page and device thereof |
| CN201510146260.4A CN104715058B (en) | 2011-09-22 | 2011-09-22 | A kind of website navigation page generation method and device |
| PCT/CN2012/081617 WO2013041022A1 (en) | 2011-09-22 | 2012-09-19 | Url navigation page generation method, device and program |
| US14/346,074 US9667505B2 (en) | 2011-09-22 | 2012-09-19 | URL navigation page generation method, device and program |
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| CN201110284221.2A CN102354315B (en) | 2011-09-22 | 2011-09-22 | Generation method of site navigation page and device thereof |
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| CN201510146260.4A Division CN104715058B (en) | 2011-09-22 | 2011-09-22 | A kind of website navigation page generation method and device |
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