CN104715058B - A kind of website navigation page generation method and device - Google Patents
A kind of website navigation page generation method and device Download PDFInfo
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Abstract
This application provides a kind of website navigation page generation method and devices, are related to network technique field.The described method includes: the network address for obtaining user browses record；Classified according to network address classifying rules to the network address in the record；According to the record, the access frequency of each network address classification is counted；Each network address classification is ranked up according to access frequency of the user of the statistics to each network address classification；The network address of the forward multiple network address classifications of selected and sorted is assigned to designated position；Corresponding position is put by the rule selection network address distributed in each network address classification of position to be shown.The application is by first classifying each network address that user accesses according to network address classifying rules, then access frequency of all categories is first counted as unit of classification, it is shown again according to the sequence of the access frequency to the forward corresponding display position of distribution of all categories of sorting, can more objective, more acurrate, more comprehensively provide the user with the website for multiple classifications that user's most frequentation is asked in this way.
Description
Technical field
This application involves network technique fields, more particularly to a kind of website navigation page generation method and device.
Background technique
With the development of network, the quantity of website is also more and more, more and more huger, and user may access multiple nets
It stands, but the website that each user has himself to be accustomed to and often accesses, if user accesses the net that he often accesses every time
Standing will need to re-enter the network address of those websites, then there will be many inconvenients.
In the prior art, first is that oneself can be needed the network address of the website accessed to collect by user by collection,
Then it is accessed by collection, but this mode is the collection network address of user's subjectivity, it cannot be objectively common by user
Network address is shown；Second is that user can access some network address often accessed by navigation website, but navigation website is pair
Some regular more well-known network address or the network address with advertisement property are linked, it is likely that do not link user's warp
The network address for the website that frequentation is asked；Third is that browser in a manner of access times and access according to asking to calculate most frequentation
Network address, such as one network address of every access, add up corresponding weight number, counts last access times, for example directly input
Weight is 2, collection 1, then accessing the result that baidu.com twice is finally calculated is 2+1=3, but many network address are used
Family only accesses once or several times daily, can not discharge into before the access list of network address, causes user that can not see, such as news
Homepage, certain stock webpage, so-and-so cell forum may access once or several times daily or access in every 2,3 days are primary, this
The network address often accessed a bit cannot be counted on by simple calculation times before most normal access list.
Can all have user in these modes may need to access the websites of certain classifications not the access list the case where,
Such as when most normal access list only shows nine websites, but after being shown by the drained sequence of network address, certain possible two classification
Website just occupy all display positions, when user also often accesses the website of other classifications, but to each of the category
When the access of network address is relatively fewer, user can not just access the network address of the category in most normal access list.
Summary of the invention
The technical problem to be solved by the application is to provide a kind of website navigation page generation methods and device, solution must not
Show that user accesses most normal website problem with multiple classifications.
To solve the above-mentioned problems, this application discloses a kind of website navigation page generation methods, comprising:
Data acquisition step obtains the network address browsing record of user；
Classifying step classifies to the network address in the record according to network address classifying rules；
Statistic procedure counts the access frequency of each network address classification according to the record；
Sequence step arranges each network address classification according to access frequency of the user of the statistics to each network address classification
Sequence；
The network address of position allocation step, the forward multiple network address classifications of selected and sorted is assigned to designated position；
Network address shows step, is put into corresponding position by the rule selection network address distributed in each network address classification of position
It is shown.
Preferably, the statistic procedure includes:
Step S1 counts the access frequency of each network address according to the record；
Step S2, it is according to the access frequency of each network address, the cumulative acquisition of the access frequency of interior network address of all categories is of all categories
Access frequency.
Preferably, the frequency are as follows: its frequency is recorded to all access of a network address for user whithin a period of time
For certain value.
Preferably, the position allocation step includes:
According to network address classification ranking results, the forward multiple network address classifications that will sort in order respectively distribute in Shipping Options Page one
Position；
Alternatively, the access frequency proportion based on each network address classification, is accordingly distributed in Shipping Options Page multiple by rule
Position.
Preferably, further includes:
Classification adds step, when all clients are greater than threshold value to total access frequency of an event address correlation, then should
Classifying rules is added as new category in event.
Preferably, after the classifying step further include:
Network address merger step, by network address relevant to merger network address list in each network address classification, according to merger network address list
It will carry out merger.
Preferably, it is shown in step in the website:
It will be sorted forward for each network address classification according to the sequence of each network address access frequency in the network address classification
One or more be put into corresponding position and shown.
Preferably, before the network address shows step further include:
Step A1 counts the access times and/or access mode of each network address according to the record；
Step A2, according to the respective access times of multiple network address, and/or access mode of the statistics to the multiple net
Location is ranked up.
Preferably, it is characterised in that:
After the statistic procedure further include:
Merger network address list updates step, and when the access frequency of a network address is greater than threshold value, which is added merger net
Location list.
Preferably, after described according to the sequence of each network address access frequency in the network address classification further include:
Network address deletes step: being deleted the network address for belonging to blacklist in ordering network address according to blacklist；
And/or blacklist removes step: for network address in the blacklist of user setting, when user's whithin a period of time
Threshold value is greater than to the access frequency of a network address, then is deleted it from blacklist.
Disclosed herein as well is a kind of website navigation page generating means accordingly, comprising:
Data acquisition module, the network address for obtaining user browse record；
Categorization module, for being classified according to network address classifying rules to the network address in the record；
Statistical module, for being counted to the access frequency of each network address classification according to the record；
Sorting module, for being carried out each network address classification to the access frequency of each network address classification according to the user of the statistics
Sequence；
The network address of position distribution module, the multiple network address classifications forward for selected and sorted is assigned to designated position；
Network address display module, for being put by the classifying rules selection network address distributed in each network address classification of position
Corresponding position is shown.
Preferably, the statistical module includes:
First statistical module, for being counted to the access frequency of each network address according to the record；
Second statistical module adds up the access frequency of interior network address of all categories for the access frequency according to each network address
Obtain total access frequency of all categories.,
Preferably, after the categorization module further include:
Classification adding module, for being greater than threshold value when total access frequency of all clients to an event address correlation, then
Classifying rules is added using the event as new category.
Compared with prior art, the application includes following advantages:
The application is then first to be with classification by the way that first each network address that user accesses is classified according to network address classifying rules
Unit counts access frequency of all categories, then the sequence according to the access frequency is accordingly shown to forward distribution of all categories of sorting
Position is shown, can more objective, more acurrate, more comprehensively provide the user with the net for multiple classifications that user's most frequentation is asked in this way
It stands.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of the embodiment of website navigation page generation method of the application；
Fig. 2 is a kind of structural schematic diagram of the embodiment of website navigation page generating means of the application.
Specific embodiment
In order to make the above objects, features, and advantages of the present application more apparent, with reference to the accompanying drawing and it is specific real
Applying mode, the present application will be further described in detail.
Referring to Fig.1, a kind of flow diagram of the embodiment of website navigation page generation method of the application is shown, it is described
Method includes:
Data acquisition step 110 obtains the network address browsing record of user；
After user opens browser, the network address of the user inside the available browsing history of the application browses note
Then record calculates the network address that user's most frequentation is asked.Display number of the number of preset calculating than designated position under normal circumstances
It is more.For example user opens daily and obtains preceding 10 days browsings after browser in browsing history and record to calculate most frequentation
30 network address asked, designated position default show in the top 9.
Such as all historical record is all stored in User Catalog under normal circumstances, as under win7 C: Users user
Name AppData Roaming 360se data history.dat, in the form of self-defining data library exist.
Classifying step 120 classifies to the network address in the record according to network address classifying rules.
For example can preset network address classification is the classifications such as sport, music, film and television, news, game, then will be obtained
The network address of the user's browsing obtained is divided into each classification by certain rule according to these classifications.For example, for the network address of user
Browsing record in each network address, count the keyword set of a network address first, then with the keyword set for network address classification of having classified
It closes and carries out similarity mode, then the network address belongs to the network address classification if it is greater than threshold value.
After the classifying step further include:
Network address merger step, by network address relevant to merger network address list in each network address classification, according to merger network address list
It will carry out merger.
Get user network address browsing record after, in the record for belonging to each network address classification with merger network address name
The network address of simple correlation, it is same in merger network address list by belonging in network address browsing record according to merger network address list
The record of subordinate's network address of network address is integrated under the network address in affiliated merger network address list.
Such as the case where avoiding weibo.com and weibo.com/atme to count respectively in order to prevent, by weibo.com/
Atme is integrated into weibo.com to count.Using the mechanism of merger network address list: weibo.com/atme is integrated into
In weibo.com, i.e., current system is contributed in weibo.com when user accesses weibo.com/atme, network address list
List is automatically mounted into user's the machine with browser installation file, and listing file can update at any time as browser upgrades.
The merger network address list can also be arranged by thinking to be arranged by intelligence learning.For example, for one
Well-known portal network address, such as Netease, can rule of thumb, directly all by the network address of the network address of Netease's homepage and Netease's news
It is put into merger network address list, if it is directly access Netease's news network address and its sublink, rather than passes through Netease's homepage network address
Connected reference Netease news network address, then by these access record be integrated under Netease's news network address, if not direct Netease
The access of news network address and its sublink is then integrated into the access of Netease's homepage, other situations can be carried out by similar principle
Processing.Alternatively, the access frequency when some network address is very high, then it is added into merger network address list, for example, most starting merger net
The network address for the related Netease contained in the list of location only has Netease's homepage network address, and all access records relevant to Netease all can merger
To Netease's homepage network address, but when the frequency that certain user directly accesses Netease's news network address is far longer than the frequency of access Netease's homepage
Rate, then by intelligence learning merger network address list is added in Netease's news by engine, and the record that thing directly accesses Netease's news is all returned
And it arrives below Netease's news network address.Statistic procedure 130 unites to the access frequency of each network address classification according to the record
Meter.
The statistic procedure includes:
Step S1 counts the access frequency of each network address according to the record；
Wherein this step can also unite to the access times and/or access mode of each network address according to the record
Meter.
For aforementioned obtained network address browsing record, the access frequency of each network address is counted.Wherein, the frequency
Rate are as follows: recording its frequency to all access of a network address for user whithin a period of time is certain value.Than frequency as mentioned
Are as follows: when user has access to a network address whithin a period of time, then recording frequency is 1；When user does not have a network address in a period of time
Access, then recording frequency is 0.For another example as unit of day, no matter how many times are accessed to a network address in one day, to its merger
The frequency of network address record afterwards is all recorded as 1, if the same day does not access the address correlation of this network address, to the network address after its merger
The frequency of record is all recorded as 0.It is of course also possible to 12 hours, 6 hours etc. are that unit carries out similar statistics to frequency,
Only need this period across a certain range.Access times, the access mode etc. of network address can also be counted.
Step S2, it is according to the access frequency of each network address, the cumulative acquisition of the access frequency of interior network address of all categories is of all categories
Total access frequency.
It is added up the access frequency of all network address in same network address classification to obtain the access frequency of the network address classification, than
If user is 4 to the access frequency of the website A of sport category in a period of time, the access frequency to such network address B is 5, then
The user is 9 to the access frequency of Sport Class.So the access frequency of each network address classification is counted.
In addition each network address class can also be finally counted according to the statistics of the aforementioned access times to network address and access mode
The number of other access frequency and each access mode.
Sequence step 140 carries out each categories of websites according to access frequency of the user of the statistics to each network address classification
Sequence.
For example user is 50 to the access frequency of Sport Class, the access frequency of music categories is 28, film and television classification
Access frequency be 90, then the sequencing after drained sequence are as follows: film and television classification, Sport Class, music categories.Position
The network address of allocation step 150, the forward multiple network address classifications of selected and sorted is assigned to designated position.
Wherein, it is preferred that can be according to network address classification ranking results, the forward multiple network address classifications that will sort in order are each
Distribute a position in Shipping Options Page.
For example, using the blank page newly opened as Shipping Options Page then the Shipping Options Page will be divided into nine lattice (i.e. nine positions),
Every lattice can correspond to a network address classification.After having obtained the sequence of each network address classification by abovementioned steps, sequence can be taken to lean on
Nine preceding network address classifications are separately dispensed into this nine lattice display position.Wherein, nine network address classifications for sorting forward are distributed suitable
Sequence can be preset, such as since the first row above, and from upper left to bottom right, sequence is placed, or since the first row of the left side, from
Sequence is compiled and edited up to lower placement etc., or to this nine grid, is placed by sequence size.Alternatively, in some start page
The network address classification for sorting forward, is distributed multiple positions of this tab bar by one tab bar of middle addition in order.
Alternatively, can accordingly be distributed in Shipping Options Page based on the access frequency proportion of each network address classification by rule
Multiple positions.
For example, using the blank page newly opened as Shipping Options Page then the Shipping Options Page will be divided into nine lattice (i.e. nine positions),
Every lattice can correspond to a network address classification, for the forward multiple network address classifications of sorting, if the wherein classification of sequence first
The specific gravity of the total access frequency of access frequency Zhan is more than 50%, then distributes more positions to the category, for example gives 4 positions, so
Afterwards sequence second network address classification access frequency account for classification only has 20%, then distribute 2 positions, then sort third net
The access frequency of location classification accounts for 15%, then distributes 1 position, and then the access frequency of the network address classification of sequence the 4th accounts for 8%, then
1 position is distributed, then the access frequency of the network address classification of sequence the 5th accounts for 5%, then distributes 1 position.Alternatively, rising at some
A tab bar is added in beginning webpage, by the network address classification for sorting forward by multiple positions than reassigning this tab bar.
Network address shows step 160, is put into accordingly by the rule selection network address distributed in each network address classification of position
Position is shown.
Preferably, each network address classification will be arranged according to the sequence of each network address access frequency in the network address classification
Forward one or more of sequence is put into corresponding position and is shown.
It wherein, further include step A1, according to the record, access times and/or access mode to each network address are carried out
Statistics；
Step A2, according to the respective access times of multiple network address, and/or access mode of the statistics to the multiple net
Location is ranked up.
Such as table first is that being illustrated by taking the network address browsing record in 7 days some network address classification as an example.
| First day | Second day | Third day | 4th day | 5th day | 6th day | 7th day | |
| The website A | 1 time | 1 time | 1 time | 1 time | 1 time | 1 time | 1 time |
| The website B | 4 times | 4 times | 4 times | 4 times | 4 times | ||
| The website C | 2 times | 2 times | |||||
| The website C1 | 2 times | 2 times | |||||
| The website D | 100 times | ||||||
Table one
Currently there is 4 network address A, B, C, C1, D (the wherein subnet that C1 is C)
A network address only accesses once daily in past one week, all accesses in one week at that time；
B network address has in 5 days in past one week to be accessed, and was accessed daily 4 times；
C network address has in 2 days in past one week to be accessed, daily access 2 times；
C1 network address is the subnet of C network address, has in 2 days in past one week and accessed, daily access 2 times；
D network address accessed for only one day in past one week, had accessed 100 times；
Have in merger network address list: network address A, network address B, network address C, network address D.
The record of so C1 network address just needs to be integrated under the record of network address C, then has C network address to have in past one week
It was accessed in 4 days, daily access 4 times.
The frequency for thinking user's access is standard to calculate, it is assumed that user accessed once daily, that is, remembered that one gives correspondence
Network address:
Each network address is corresponding with a frequency i.e. F value (frequency)
The F of A network address is 1+1+1+1+1+1+1=7F=7
The F of B network address is 1+1+0+0+1+1+1=5F=5
The F of C network address is 1+1+1+1+0+0+0=5F=4
The F of D network address is 0+0+0+0+1+0+0=1F=1
Although D network address has accessed 100 times in one week and only has accessed 7 times in A network address one week
So last ranking is A B C D, then the designated position that is put into the top is shown.
Such as table second is that in the network address classification, when occur network address access frequency it is identical when, by network address access times to phase
The example that the network address of same frequency is ranked up.
| First day | Second day | Third day | 4th day | 5th day | 6th day | 7th day | |
| The website A | 1 time | 1 time | 1 time | 1 time | 1 time | 1 time | 1 time |
| The website B | 4 times | 4 times | 4 times | 4 times | 4 times | ||
| The website C | 2 times | 2 times | 2 times | ||||
| The website C1 | 2 times | 2 times | |||||
| The website D | 100 times | ||||||
Table two
Currently there is 4 network address A, B, C, C1, D (the wherein subnet that C1 is C)
A network address only accesses once daily in past one week, all accesses in one week at that time；
B network address has in 5 days in past one week to be accessed, and was accessed daily 4 times；
C network address has in 2 days in past one week to be accessed, daily access 2 times；
C1 network address is the subnet of C network address, has in 2 days in past one week and accessed, daily access 2 times；D network address exists
It accessed within only one day in past one week, had accessed 100 times；
Have in merger network address list: network address A, network address B, network address C, network address D.
The record of so C1 network address just needs to be integrated under the record of network address C, then has C network address to have in past one week
It was accessed in 4 days, daily access 4 times.
The frequency for thinking user's access is standard to calculate, it is assumed that user accessed once daily, that is, remembered that one gives correspondence
Network address:
Again the access times of each network address are done to add up and obtains C value (count)
The F of A network address is that the C of 1+1+1+1+1+1+1=7F=7A network address is 1+1+1+1+1+1+1=7C=7
The F of B network address is that the C of 1+1+0+0+1+1+1=5F=5B network address is 4+4+0+0+4+4+4=5C=20
The F of C network address is that the C of 1+1+1+1+1+0+0=5F=5C network address is 2+2+0+0+2+2+2=5C=10
Although the C that the F of D network address is 0+0+0+0+1+0+0=1F=0D network address is 0+0+0+0+100+0+0=1C=100 D
Network address has accessed 100 times in one week and only has accessed 7 times in A network address one week, but because the F value of A is greater than B, C and D
, the F value of B network address and the F value of C network address are identical at this time, but the C value of B network address is greater than C network address, and so last row
Name remains as A B C D.
Wherein, when the access frequency of multiple network address is identical, if with access times for preferential sequencing selection, with access
Mode is Secondary ordination selection, then when user's access frequency of multiple network address is identical with access times, according to the statistics
The respective access mode of multiple network address the multiple network address is ranked up.Wherein the sortord such as includes address
Column directly inputs, and collection mode accesses, and the mode opened is clicked from page link.Such as when the user of multiple network address accesses frequency
When rate is identical with access times, can the statistics first in such a way that address field directly inputs be ranked up, can also be by collection
The statistics for the mode that folder mode accesses is ranked up, and can also be ranked up by the statistics that page link is clicked in the way of opening.
In addition, when the number of the mode such as directly inputted when user's access frequency of multiple network address, access times and address field is identical,
Can the statistics again in the way of being accessed in a manner of collection be ranked up.Other situations principle can be analogized and be ranked up according to this
Process.Among these, priority also can be set between various access modes, such as in such a way that address field directly inputs first
Access times sequence, if access times sort there are also identical, then in a manner of collection, if there are also identical, then from page
The mode that face link clicks are opened sends out access times sequence.
Wherein, after described according to the sequence of each network address access frequency in the network address classification further include:
Network address deletes step: being deleted the network address for belonging to blacklist in ordering network address according to blacklist.Generally
In the case of, if just blacklist is added in the network address of this network address by engine after user deletes some network address from the display page,
It is subsequent to obtain user's most frequentation again and ask among the sequence of list of network address, in the event of this network address, then by this network address from sequence
Among delete, this network address sequence after network address then sequentially shift to an earlier date one.
It further include blacklist removal step: for network address in the blacklist of user setting, when user's whithin a period of time
Threshold value is greater than to the access frequency of a network address, then is deleted it from blacklist.
For the network address in blacklist, if user within certain a period of time (such as in 10 days) frequent visit this
Network address in blacklist, then engine judges it, when being greater than to the access frequency of this network address for user whithin a period of time
Threshold value then deletes it from blacklist, if its is in the top, and meets the requirements, can put it into designated position progress
It shows.
The highest net of all clients access frequency in network address classification is corresponded on a position alternatively, it is also possible to directly display
Location.
In addition, after the statistic procedure further include:
Merger network address list updates step, and when the access frequency of a network address is greater than threshold value, which is added merger net
Location list.
In addition, the application further includes classification addition step, when all clients are to total access frequency of an event address correlation
Rate is greater than threshold value, then classifying rules is added using the event as new category.
For example, paying great attention when in a period of time in network to a certain event, a large amount of client is frequently browsed respectively
Website webpage relevant to the event, such as webpage relevant to " the 2008 Beijing Olympic Games ", visit of all terminals to the event
Ask that frequency is higher than threshold value, then individually will webpage relevant to " the 2008 Beijing Olympic Games " as a classification, will according to the category
Webpage relevant to the event is divided into the category in user's network address browsing record.
It is a kind of structural schematic diagram of the embodiment of website navigation page generating means of the application referring to Fig. 2, comprising:
Data acquisition module 410, the network address for obtaining user browse record；
Categorization module 420, for being classified according to network address classifying rules to the network address in the record；
Statistical module 430, for being counted to the access frequency of each network address classification according to the record；
Sorting module 440, for according to the user of the statistics to the access frequency of each network address classification by each network address classification
It is ranked up；
The network address of position distribution module 450, the multiple network address classifications forward for selected and sorted is assigned to designated position；
Network address display module 460, for by the classifying rules selection network address distributed in each network address classification of position
Corresponding position is put into be shown.
Wherein, the statistical module includes:
First statistical module, for being counted to the access frequency of each network address according to the record；
Second statistical module adds up the access frequency of interior network address of all categories for the access frequency according to each network address
Obtain total access frequency of all categories.,
Wherein, after the categorization module further include:
Classification adding module, for being greater than threshold value when total access frequency of all clients to an event address correlation, then
Classifying rules is added using the event as new category.
After the categorization module further include:
Network address merger module, by network address relevant to merger network address list in each network address classification, according to merger network address list
It will carry out merger.
Wherein, it is preferred that be used in the web site display module for each network address classification, according to the network address classification
The sequence of interior each network address access frequency, is put into corresponding position for one or more for sorting forward and shows.
Wherein, before the network address display module further include:
Submodule one counts the access times and/or access mode of each network address according to the record；
Submodule two, according to the respective access times of multiple network address, and/or access mode of the statistics to the multiple
Network address is ranked up.
Wherein, after the statistical module further include:
When the access frequency of a network address is greater than threshold value merger net is added in the network address by merger network address list update module
Location list.
Wherein, after described according to the sequence of each network address access frequency in the network address classification further include:
Network address removing module: the network address for belonging to blacklist in ordering network address is deleted according to blacklist；
And/or blacklist removes module: for network address in the blacklist of user setting, when user's whithin a period of time
Threshold value is greater than to the access frequency of a network address, then is deleted it from blacklist.
For system embodiments, since it is basically similar to the method embodiment, related so being described relatively simple
Place illustrates referring to the part of embodiment of the method.
All the embodiments in this specification are described in a progressive manner, the highlights of each of the examples are with
The difference of other embodiments, the same or similar parts between the embodiments can be referred to each other.
Above to a kind of website navigation page generation method provided herein and device, it is described in detail, this
Specific case is applied in text, and the principle and implementation of this application are described, the explanation of above example is only intended to
Help understands the present processes and its core concept；At the same time, for those skilled in the art, the think of according to the application
Think, there will be changes in the specific implementation manner and application range, in conclusion the content of the present specification should not be construed as pair
The limitation of the application.
The invention discloses A1, a kind of website navigation page generation method, comprising:
Data acquisition step obtains the network address browsing record of user；
Classifying step classifies to the network address in the record according to network address classifying rules；
Statistic procedure counts the access frequency of each network address classification according to the record；
Sequence step arranges each network address classification according to access frequency of the user of the statistics to each network address classification
Sequence；
The network address of position allocation step, the forward multiple network address classifications of selected and sorted is assigned to designated position；
Network address shows step, is put into corresponding position by the rule selection network address distributed in each network address classification of position
It is shown.
A2, the method according to claim A1, the statistic procedure include:
Step S1 counts the access frequency of each network address according to the record；
Step S2, it is according to the access frequency of each network address, the cumulative acquisition of the access frequency of interior network address of all categories is of all categories
Access frequency.
A3, the method according to claim A2,
The frequency are as follows: it is certain for recording its frequency to all access of a network address for user whithin a period of time
Value.
A4, according to method described in claim A1, the position allocation step includes:
According to network address classification ranking results, the forward multiple network address classifications that will sort in order respectively distribute in Shipping Options Page one
Position；
Alternatively, the access frequency proportion based on each network address classification, is accordingly distributed in Shipping Options Page multiple by rule
Position.
A5, the method according to claim A1, further includes:
Classification adds step, when all clients are greater than threshold value to total access frequency of an event address correlation, then should
Classifying rules is added as new category in event.
A6, the method according to claim A1, after the classifying step further include:
Network address merger step, by network address relevant to merger network address list in each network address classification, according to merger network address list
It will carry out merger.
A7, the method according to claim A1 are shown in step in the website:
It will be sorted forward for each network address classification according to the sequence of each network address access frequency in the network address classification
One or more be put into corresponding position and shown.
A8, the method according to claim A7, before the network address shows step further include:
Step A1 counts the access times and/or access mode of each network address according to the record；
Step A2, according to the respective access times of multiple network address, and/or access mode of the statistics to the multiple net
Location is ranked up.
A9, the method according to claim A8, after the statistic procedure further include:
Merger network address list updates step, and when the access frequency of a network address is greater than threshold value, which is added merger net
Location list.
A10, the method according to claim A9, in the row according to each network address access frequency in the network address classification
After sequence further include:
Network address deletes step: being deleted the network address for belonging to blacklist in ordering network address according to blacklist；
And/or blacklist removes step: for network address in the blacklist of user setting, when user's whithin a period of time
Threshold value is greater than to the access frequency of a network address, then is deleted it from blacklist.
The invention also discloses B11, a kind of website navigation page generating means, comprising:
Data acquisition module, the network address for obtaining user browse record；
Categorization module, for being classified according to network address classifying rules to the network address in the record；
Statistical module, for being counted to the access frequency of each network address classification according to the record；
Sorting module, for being carried out each network address classification to the access frequency of each network address classification according to the user of the statistics
Sequence；
The network address of position distribution module, the multiple network address classifications forward for selected and sorted is assigned to designated position；
Network address display module, for being put by the classifying rules selection network address distributed in each network address classification of position
Corresponding position is shown.
B12, the device according to claim B10, the statistical module include:
First statistical module, for being counted to the access frequency of each network address according to the record；
Second statistical module adds up the access frequency of interior network address of all categories for the access frequency according to each network address
Obtain total access frequency of all categories.,
B13, the device according to claim B10, after the categorization module further include:
Classification adding module, for being greater than threshold value when total access frequency of all clients to an event address correlation, then
Classifying rules is added using the event as new category.
Claims (9)
1. a kind of website navigation page generation method characterized by comprising
Data acquisition step obtains the network address browsing record of user；
Classifying step classifies to the network address in the record according to network address classifying rules；
Statistic procedure counts the access frequency of each network address classification according to the record, comprising: according to the record,
The access frequency of each network address is counted；According to the access frequency of each network address, by the access frequency of interior network address of all categories
It is cumulative to obtain access frequency of all categories；The frequency are as follows: all access for user whithin a period of time to a network address
Recording its frequency is certain value；
Each network address classification is ranked up by sequence step according to access frequency of the user of the statistics to each network address classification；
The network address of position allocation step, the forward multiple network address classifications of selected and sorted is assigned to designated position；The position distribution
Step includes: according to network address classification ranking results, and the forward multiple network address classifications that will sort in order are respectively distributed one in Shipping Options Page
A position；Alternatively, the access frequency proportion based on each network address classification, accordingly distributes multiple positions by rule in Shipping Options Page
It sets；
Network address shows step, is put into corresponding position by the network address that rule selection has distributed in each network address classification of position and is shown
Show.
2. the method according to claim 1, wherein further include:
Classification adds step, when total access frequency of all clients to an event address correlation is greater than threshold value, then by the event
Classifying rules is added as new category.
3. according to the method described in claim 1, it is characterized by:
After the classifying step further include:
Network address merger step will be into according to merger network address list by network address relevant to merger network address list in each network address classification
Row merger.
4. the method according to claim 1, wherein being shown in step in the network address:
For each network address classification, according to the sequence of each network address access frequency in the network address classification, by forward one that sorts
A or multiple corresponding positions that are put into are shown.
5. according to the method described in claim 4, it is characterized in that, before the network address shows step further include:
Step A1 counts the access times and/or access mode of each network address according to the record；
Step A2, according to the respective access times of multiple network address of the statistics, and/or access mode to the multiple network address into
Row sequence.
6. according to the method described in claim 5, it is characterized by:
After the statistic procedure further include:
Merger network address list updates step, and when the access frequency of a network address is greater than threshold value, which is added merger network address name
It is single.
7. according to the method described in claim 6, it is characterized in that, described according to each network address access frequency in the network address classification
Sequence after further include:
Network address deletes step: being deleted the network address for belonging to blacklist in ordering network address according to blacklist；
And/or blacklist removes step: for network address in the blacklist of user setting, when user whithin a period of time is to one
The access frequency of network address is greater than threshold value, then deletes it from blacklist.
8. a kind of website navigation page generating means characterized by comprising
Data acquisition module, the network address for obtaining user browse record；
Categorization module, for being classified according to network address classifying rules to the network address in the record；
Statistical module, for being counted to the access frequency of each network address classification according to the record；The statistical module
It include: the first statistical module, for being counted to the access frequency of each network address according to the record；Second statistical module,
For the access frequency according to each network address, by total access frequency that the cumulative acquisition of the access frequency of interior network address of all categories is of all categories
Rate；The frequency are as follows: recording its frequency to all access of a network address for user whithin a period of time is certain value；
Sorting module, for being arranged each network address classification to the access frequency of each network address classification according to the user of the statistics
Sequence；
The network address of position distribution module, the multiple network address classifications forward for selected and sorted is assigned to designated position；It include: basis
Network address classification ranking results, the forward multiple network address classifications that will sort in order respectively distribute a position in Shipping Options Page；Alternatively, base
In the access frequency proportion of each network address classification, multiple positions are accordingly distributed in Shipping Options Page by rule；
Network address display module, the network address for having distributed in each network address classification of position by classifying rules selection are put into corresponding position
It is shown.
9. device according to claim 8, which is characterized in that after the categorization module further include:
Classification adding module then should for being greater than threshold value when total access frequency of all clients to an event address correlation
Classifying rules is added as new category in event.
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