CN102663064A - Method and device for processing favorite data - Google Patents
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Abstract
The invention discloses a method and a device for processing favorite data, aiming to solve problems of very complex manual arranging operation and time waste in the prior art; the method comprises the following steps: receiving a sorting request of the favorite data, wherein the sorting request comprises request parameters; acquiring field data corresponding to the request parameters from the favorite data, and sorting the favorite data of a field according to the request parameters; acquiring user behavior information based on stored favorite data; and generating recommend network resource information according to the user behavior information and displaying the recommended network resource information and the sorted favorite data. According to the method and device provided by the invention, the favorite data in a favorite can be arranged according to the sorting request and is displayed to a user; the user does not need to arrange the favorite manually; operation is simple; time is saved; in addition, accuracy of arranging sequence can be ensured; and user behavior can also be analyzed based on the sorted favorite data so as to generate the recommend network resource information.
Description
Technical field
The application relates to browser technology, particularly relates to a kind of disposal route and device of favorites data.
Background technology
Usually the user can preserve the network address of oneself preferring with the webpage of often logining when online, and the file of preserving said network address is called collection.Collection is that the user uses the browser assistant that gets profit in when online, when thinking afterwards to browse again, can directly open collection, directly clicks the network address of preserving and just opens corresponding webpage, need not import network address once more or use other mode.
Collection has two kinds of forms at present: a kind of is local collection, and the network address of collection is stored in this locality, for example, has added the network address of oneself liking in user's computer at home, and http://www.a.com can't find this network address in the collection of company computer; Another kind is network collection, as long as write down the log-on message of the network collection of certain piece browser, on any terminal that can connect network, use land with the money browser after, just can browse the collection content that use has been added, keep synchronous.
Along with the time of online is more and more longer, the webpage of browsing is more and more, and the network address of user's collection also can get more and more.And,, can cause the content in the collection disorderly and unsystematic because interested content is different in user's different time sections.Can only manually put in order when the user wants to put collection in order, manually put into different categories, complex operation, and expend time in.
Summary of the invention
The application provides a kind of disposal route and device of favorites data, solving very loaded down with trivial details of the manual housekeeping operation of prior art, and time-consuming problem.
In order to address the above problem, the application discloses a kind of disposal route of favorites data, comprising:
Receive the ordering request of favorites data, comprise required parameter in the wherein said ordering request;
From favorites data, obtain the corresponding field data of described request parameter, and according to the favorites data of the said field of described request parameter marshalling;
Obtain user behavior information based on the favorites data of said ordering;
According to said user behavior information, generate the network resource information of recommending, and together show with the collection folder data of said ordering.
Preferably, comprise in the ordering request of said reception: collating sequence, and said collating sequence comprises: at least one in time sequencing, web site name order and the Type of website order.
Preferably, comprise field parameter and parameters sortnig in the required parameter of said ordering request,
The then said corresponding field data of described request parameter that from favorites data, reads, and according to the favorites data of the said field of described request parameter marshalling, comprising:
From favorites data, read the field data corresponding with said field parameter;
Said field data is sorted according to said parameters sortnig, and confirm the clooating sequence of said favorites data.
Preferably, described method also comprises:
Clooating sequence according to favorites data generates the client functionality function originally;
Read said client functionality function originally, and show said favorites data according to said clooating sequence.
Preferably, be time sequencing at said collating sequence;
Then saidly from favorites data, obtain the corresponding field data of described request parameter, and comprise according to the favorites data of the said field of described request parameter marshalling:
Read favorites data, according to the time-sequencing request that receives, time for reading field parameter time corresponding field comprises time field parameter and time-sequencing parameter in the wherein said time-sequencing request from favorites data;
The time field is sorted the corresponding clooating sequence of confirming favorites data according to the time-sequencing parameter.
Preferably, said collating sequence is a name order;
Then saidly from favorites data, obtain the corresponding field data of described request parameter, and comprise according to the favorites data of the said field of described request parameter marshalling:
Read favorites data,, from favorites data, read the corresponding name field of name field parameter, comprise name field parameter and title parameters sortnig in the wherein said title ordering request according to the title ordering request that receives;
Name field is sorted the corresponding clooating sequence of confirming favorites data according to the title parameters sortnig.
Preferably, said collating sequence is a Type of website order;
Then saidly from favorites data, obtain the corresponding field data of described request parameter, and comprise according to the favorites data of the said field of described request parameter marshalling:
Read favorites data,, from favorites data, read the corresponding name field of name field parameter, comprise name field parameter and type parameters sortnig in the wherein said type ordering request according to the type ordering request that receives;
Said name field is sorted the corresponding clooating sequence of confirming favorites data according to the type parameters sortnig.
Preferably, said said name field is sorted according to the type parameters sortnig before, also comprise:
Analyze the corresponding Type of website of each name field in the favorites data.
Preferably, described method also comprises:
According to the information of searching of input, search favorites data.
Preferably, said step of searching favorites data is:
According to the information of searching of input, the web page title or the network address of collection are searched.
Preferably, said collection data based on said ordering are obtained user behavior information and are comprised:
The corresponding network address of the collection data of said ordering and the Type of website thereof are carried out the counting in the section at the fixed time;
Draw the network address quantity and the network address title thereof of user storage in each Type of website.
Preferably, the said user behavior information of said foundation generates the network resource information step of recommending and comprises:
According to the maximum Type of website title of said network address quantity, matching network resource recommendation table;
Obtain the recommendation network resource information that is associated.
Preferably, said recommendation information is at least one in the inlet information of inlet information, webpage connector of webpage network address, web application.
Preferably, said network resource recommended table comprises: the Type of website and according to the Internet resources of classification of type.
Preferably, the network resource information of said user behavior information and/or said recommendation obtains from server side.
Accordingly, disclosed herein as well is a kind of treating apparatus of favorites data, comprising:
Receiver module is used to receive the ordering request of favorites data, comprises required parameter in the wherein said ordering request;
Obtain and order module, be used for obtaining the corresponding field data of described request parameter from favorites data, and according to the favorites data of the said field of described request parameter marshalling;
Obtain the behavioural information module, be used for obtaining user behavior information based on the favorites data of said ordering;
Generate and display module, be used for generating the network resource information of recommending, and together show with the collection folder data of said ordering according to said user behavior information.
Preferably, comprise in the ordering request of said reception: collating sequence, and said collating sequence comprises: at least one in time sequencing, web site name order and the Type of website order.
Preferably, said obtaining and order module comprises:
Reading submodule is used for reading the field data corresponding with said field parameter from favorites data;
The ordering submodule is used for said field data is sorted according to said parameters sortnig, and the clooating sequence of definite favorites data;
Wherein, comprise field parameter and parameters sortnig in the described request parameter.
Preferably, described device also comprises:
The generating function module is used for generating the client functionality function according to the clooating sequence of favorites data;
The video data module is used to read said client functionality function, and shows said favorites data according to said clooating sequence.
Preferably, said collating sequence is a time sequencing, and said obtaining and order module comprises:
Reading submodule is used to read favorites data, and according to the time-sequencing request that receives, time for reading field parameter time corresponding field comprises time field parameter and time-sequencing parameter in the wherein said time-sequencing request from favorites data;
The ordering submodule is used for the time field is sorted according to the time-sequencing parameter, the corresponding clooating sequence of confirming favorites data.
Preferably, said collating sequence is the web site name order, and said obtaining and order module comprises:
Reading submodule is used to read favorites data, according to the title ordering request that receives, from favorites data, reads the corresponding name field of name field parameter, comprises name field parameter and title parameters sortnig in the wherein said title ordering request;
The ordering submodule is used for name field is sorted according to the title parameters sortnig, the corresponding clooating sequence of confirming favorites data.
Preferably, said collating sequence is a Type of website order, and said obtaining and order module comprises:
Reading submodule is used to read favorites data, according to the type ordering request that receives, from favorites data, reads the corresponding name field of name field parameter, comprises name field parameter and type parameters sortnig in the wherein said type ordering request;
The ordering submodule is used for name field is sorted according to the type parameters sortnig, the corresponding clooating sequence of confirming favorites data.
Preferably, described device also comprises:
Analyze submodule, be used for analyzing the corresponding Type of website of each name field of favorites data.
Preferably, described device also comprises:
Search module, be used for the information of searching, search favorites data according to input.
Preferably, the said module of searching also is used for the information of searching according to input, and the web page title or the network address of collection are searched.
Preferably, the said behavioural information module of obtaining comprises:
The counting submodule is used for the collection data of said the ordering corresponding network address and the Type of website thereof are carried out the counting of section at the fixed time;
The module that bears fruit is used for drawing the network address quantity and the network address title thereof of each Type of website user storage.
Preferably, said generation and display module comprise:
Matched sub-block is used for according to the maximum Type of website title of said network address quantity, matching network resource recommendation table;
Obtain submodule, be used to obtain the recommendation network resource information that is associated.
Preferably, at least one in the inlet information of the said recommendation network resource information inlet information that is webpage network address, web application, webpage connector.
Preferably, said network resource recommended table comprises: the Type of website and according to the Internet resources of classification of type.
Preferably, the network resource information of said user behavior information and/or said recommendation obtains from server side.
Compared with prior art, the application comprises following advantage:
At first, can receive the ordering request of favorites data, comprise required parameter in the wherein said ordering request, from favorites data, obtain the corresponding data field of described request parameter, and according to the favorites data of the said field of described request parameter marshalling.Obtain user behavior information based on the favorites data of said ordering, according to said user behavior information, generate the network resource information of recommending, and together show with the collection folder data of said ordering.。The application puts the collection data in the collection in order and is shown to the user according to the ordering request automatically; Do not need the user manually to put collection in order, simple to operate, save time; And can guarantee the accuracy of collating sequence; Can also be based on the favorites data of said ordering, the analysis user behavior generates the network resource information of recommending.
Secondly, can be among the application according to multiple clooating sequence arrangement collection, can comprise according to the time arrangement, according to the arrangement of web site name order with according to the arrangement of Type of website order etc., and sort method is various in every kind of collating sequence.The user uses very convenient, and can satisfy user's various demands, flexible method, quick.
Once more, also in collection, be provided with locating function among the application, according to the information of searching of input, can search network address corresponding in the collection fast according to web page title or network address, the user is easy to use, quick.
Once more, the application can analyze user's network address quantity of user storage in each Type of website in certain time period, recommends the relevant network resource information of the maximum Type of website of said network address stored number to the user then.Can improve the function of browser collection folder more, make the user when browsing collection, be more prone to find and oneself want website and the related web site logined.
Description of drawings
Fig. 1 is the process flow figure of the said a kind of favorites data of the application embodiment;
Fig. 2 is the process flow figure of the said a kind of favorites data of the application's preferred embodiment;
Fig. 3 is that the application embodiment is said according to favorites data sort method in the method flow diagram of time sequencing arrangement collection;
Fig. 4 is the said method flow diagram according to web site name order arrangement collection of the application embodiment;
Fig. 5 is the said method flow diagram according to Type of website order arrangement collection of the application embodiment;
Fig. 6 is a user behavior orientation analysis method flow diagram in the disposal route of the said a kind of favorites data of the application embodiment;
Fig. 7 is the treating apparatus structural drawing of the said a kind of favorites data of the application embodiment.
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, provided the process flow figure of the said a kind of favorites data of the application embodiment.
Step 11 receives the ordering request of favorites data, comprises required parameter in the wherein said ordering request;
When the user will put in order browser collection folder, at first can send the ordering of favorites data and ask, after browser client receives the ordering request of favorites data, at first read the corresponding favorites data of collection to browser client.
Wherein, said favorites data is used for preserving the collection data that collection is stored, and each collection data comprises: the network address of collection, web page title, web site name and collection time etc.Comprise required parameter in the said ordering request, can know field and the clooating sequence of request etc. through required parameter, for example know that the user wants the acquisition time field, then by time rank order from the near to the remote, with the arrangement collection.
Step 12 is obtained the corresponding field data of described request parameter from favorites data, and according to the favorites data of the said field of described request parameter marshalling;
Can from data file, read the corresponding field data of required parameter, then field data sorted by the regulation in the required parameter, can sort the corresponding favorites data of said field data.
For example, corresponding in the required parameter is name field, with title according to the English alphabet rank order.Then the name field that from data file, reads of browser client comprises: Sina, Netease, Taobao and Jingdone district are Jingdone district, Sina, Taobao and Netease with web site name according to the order of English alphabet rank order.
Above-mentioned with behind the data sorting in the data file, can show the collection data in the collection according to said clooating sequence, like network address.
For example, above-mentioned is Jingdone district, Sina, Taobao and Netease with web site name according to the order of English alphabet rank order.When showing the network address in the collection, can see the network address of Jingdone district, Taobao, Netease and Sina successively.
Step 13 is obtained user behavior information based on the collection data of said ordering;
Above-mentioned favorites data is sorted after, can obtain user behavior information based on the collection data of said ordering, for example; If favorites data is sorted according to time sequencing; Then obtain the favorites data in a period of time, analyze said favorites data then, obtain user behavior information.
Step 14 according to said user behavior information, generates the network resource information of recommending, and together shows with the favorites data of said ordering.
The above-mentioned user behavior information of having obtained can generate the network resource information of recommending according to said user behavior information then, and the favorites data with said network resource information and ordering shows jointly then.
For example, in the favorites data in nearest 3 months of the user, 50% is the web page address of shopping website, then can generate the shopping series advertisements, can said shopping series advertisements and favorites data according to time sequence be presented in the collection jointly.
In sum, can receive the ordering request of favorites data, comprise required parameter in the wherein said ordering request, from favorites data, obtain the corresponding data field of described request parameter, and according to the favorites data of the said field of described request parameter marshalling.Obtain user behavior information based on the favorites data of said ordering, according to said user behavior information, generate the network resource information of recommending, and together show with the collection folder data of said ordering.The application puts the collection data in the collection in order and is shown to the user according to the ordering request automatically; Do not need the user manually to put collection in order, simple to operate, save time; Can guarantee the accuracy of collating sequence; Can also be based on the favorites data of said ordering, the analysis user behavior generates the network resource information of recommending.
Preferably, comprise in the ordering request of said reception: collating sequence, and said collating sequence comprises: at least one in time sequencing, web site name order and the Type of website order.
With reference to Fig. 2, provided the process flow diagram of favorites data sort method in the disposal route of the said a kind of favorites data of the application's preferred embodiment.
Comprise in the ordering request of said reception: collating sequence, and said collating sequence comprises: at least one in time sequencing, web site name order and the Type of website order.In the practical implementation, can collect the option that arranging order is set in the part at browser, for example according to time sequence with by web site name (website) ordering etc., the user can select collating sequence.
According to the collating sequence that the user selects, send the corresponding sequencing request and give browser client.
Step 202 according to the ordering request that receives, reads the corresponding favorites data of collection;
Comprise required parameter in the wherein said ordering request, comprise field parameter and parameters sortnig in the required parameter.
Step 203 reads the field data corresponding with said field parameter from favorites data;
Favorites data is used for storing the collection data of collection, and each collection data comprises: the network address of collection, web page title, web site name and collection time etc.
For example, collection data 001: the network address of collection is www.xx1.com/1245; Web page title is xx1-xuenf-234; Web site name is xx1; The collection time is 2012-2-15,20:34;
Collection data 002: the network address of collection is www.xx2.com/1447; Web page title is xx1-xuxebg-ce4; Web site name is xx2; The collection time is 2012-3-1,02:04.
For example, field parameter is the time field, and the corresponding field parameter of said time field is the collection time, and the field data that reads is respectively the 2012-2-15-20:34 of 001 correspondence, 002 corresponding 2012-3-1,02:04.
Step 204 sorts said field data according to said parameters sortnig, and confirms the clooating sequence of said favorites data;
For example, clooating sequence is a time order from the near to the remote, then the above-mentioned collection time is sorted according to time order from the near to the remote, and the clooating sequence of corresponding definite favorites data is 002,001.
Step 205 is according to the clooating sequence client functionality function of favorites data;
The clooating sequence of above-mentioned definite favorites data is 002,001, and correspondence is the client functionality function accordingly.
Step 206 reads said client functionality function, and shows said favorites data according to said clooating sequence.
Behind the above-mentioned generation client functionality function, can send said client functionality function to server.
After server receives the client functionality function, can show said favorites data according to said clooating sequence, the order of favorites data is 002,001.
Comprise in the ordering request of said reception: collating sequence, and said collating sequence comprises: at least one in time sequencing, web site name order and the Type of website order.Collating sequence in the collection comprises multiple, for example according to time sequencing, by the web site name order, according to the websites collection sequential scheduling, also comprise other collating sequences certainly, the application does not do qualification to this.
One, according to time sequencing arrangement collection
With reference to Fig. 3, provided the said method flow diagram of the application embodiment according to time sequencing arrangement collection.
Step 301 reads favorites data;
Wherein, comprise time field parameter and time-sequencing parameter in the said time-sequencing request.
If what the user selected puts collection in order according to time sequencing, can transmitting time ordering request give browser client, for example, the required parameter in the time-sequencing request is 1.
After client receives the time-sequencing request, can read favorites data, comprise required parameter in the wherein said time-sequencing request, the described request parameter comprises: time field parameter and time-sequencing parameter,
If the required parameter in the time-sequencing request is 1, then the time field parameter can be 11, in the time-sequencing parameter according to the time by being 12 as far as near order, be 13 etc. according to from the near to the remote order.
Step 302 is according to the time-sequencing request that receives, time for reading field parameter time corresponding field from favorites data;
According to time field parameter 11, read time corresponding field in each collection data of favorites data, as, 001 corresponding 2012-2-15-20:34,002 corresponding 2012-3-1,02:04.
Step 303 sorts the time field according to the time-sequencing parameter, the corresponding clooating sequence of confirming favorites data;
If the time-sequencing parameter is 12, then the clooating sequence of favorites data is 001,002;
If the time-sequencing parameter is 12, then the clooating sequence of favorites data is 002,001.
Step 304 shows said favorites data according to said clooating sequence.
Can generate the client functionality function according to the clooating sequence of above-mentioned definite collection data, then said client functionality function sent to server.Server can show favorites data according to said clooating sequence according to said client function.
Two, according to web site name order arrangement collection
With reference to Fig. 4, provided the said method flow diagram of the application embodiment according to web site name order arrangement collection.
Step 401 reads favorites data;
Wherein, comprise name field parameter and title parameters sortnig in the said title ordering request.
If what the user selected puts collection in order according to web site name (website) order, can send title ordering request and give browser client, for example, the required parameter in the time-sequencing request is 2.
Client can read favorites data after receiving title ordering request, comprises required parameter in the wherein said title ordering request, and the described request parameter comprises: name field parameter and title parameters sortnig,
If the required parameter in the title ordering request is 2; Then the name field parameter can be 21; Be 22 according to English alphabet positive sequence in the title parameters sortnig; According to the English alphabet inverted order is 23, is 24 in proper order from more to less according to web site name storage network address quantity, and the network address quantity of storing according to web site name is 25 from less to more in proper order.
Step 402 according to the title ordering request that receives, reads the corresponding name field of name field parameter from favorites data;
If corresponding 3 network address of Sina, corresponding 1 network address of Netease, corresponding 5 network address of corresponding 10 network address of Taobao and Jingdone district in the collection.
According to name field parameter 21, the name field of correspondence in each favorites data of read data files, as, Sina, Netease, Taobao and Jingdone district.
Step 403 sorts name field according to the title parameters sortnig, the corresponding clooating sequence of confirming favorites data;
If the title parameters sortnig is 22, then the clooating sequence of favorites data is corresponding corresponding 3 network address of 1 network address, Sina of 5 corresponding network address of Jingdone district, Taobao corresponding 10 network address, Netease;
If the title parameters sortnig is 23, then the clooating sequence of favorites data is corresponding 3 network address of Sina, 1 network address that Netease is corresponding, 10 network address that Taobao is corresponding, 5 network address that Jingdone district is corresponding;
If the title parameters sortnig is 24, then the clooating sequence of favorites data is 10 corresponding network address of Taobao, 5 network address that Jingdone district is corresponding, corresponding 3 network address of Sina, 1 network address that Netease is corresponding;
If the title parameters sortnig is 25, then the clooating sequence of favorites data is 1 corresponding network address of Netease, corresponding 3 network address of Sina, 5 network address that Jingdone district is corresponding, 10 network address that Taobao is corresponding.
Step 404 shows favorites data according to said clooating sequence.
Can then said client functionality function be sent to server according to the clooating sequence client functionality function of above-mentioned definite favorites data.Server can show favorites data according to said clooating sequence according to said client function.
Three, according to Type of website order arrangement collection
With reference to Fig. 5, provided the said method flow diagram of the application embodiment according to Type of website order arrangement collection.
Step 501 reads favorites data;
Wherein, comprise name field parameter and type parameters sortnig in the said type ordering request.
If what the user selected puts collection in order according to Type of website order, can the request of type time-sequencing give browser client, for example, the required parameter in the type ordering request is 3.
Client can read favorites data after receiving type ordering request, comprises required parameter in the wherein said type ordering request, and the described request parameter comprises: name field parameter and type parameters sortnig,
If the required parameter in the type ordering request is 3; Then the name field parameter can be 31; Be 32 according to English alphabet positive sequence in the type parameters sortnig; According to the English alphabet inverted order is 33, according to the network address quantity of type stores from more to less order be 34, according to the network address quantity of type stores from less to more order be 35.
Step 502 according to the type ordering request that receives, reads the corresponding name field of name field parameter from the number favorites data;
If corresponding 3 network address of Sina, corresponding 1 network address of Netease, corresponding 5 network address of corresponding 10 network address of Taobao and Jingdone district in the collection.
According to name field parameter 31, read corresponding name field in each collection data of favorites data, as, Sina, Netease, Taobao and Jingdone district.
Step 503 is analyzed the corresponding Type of website of each name field in the favorites data;
Can preset the corresponding Type of website of each web site name among the application, be saved in the configuration file, can read configuration file, analyze the corresponding Type of website of each name field in the favorites data.
For example, analyze that Netease and Sina are social type website in the favorites data, Jingdone district and Taobao are a shopping class website.
Step 504 sorts name field according to the type parameters sortnig, the corresponding clooating sequence of confirming favorites data;
If the title parameters sortnig is 32, then the clooating sequence of favorites data is shopping type website: 5 network address, 10 corresponding network address of Taobao that Jingdone district is corresponding; Social type website: corresponding 3 network address of 1 network address, Sina that Netease is corresponding;
If the title parameters sortnig is 23, then the clooating sequence of favorites data is social type website: corresponding 3 network address of Sina, 1 network address that Netease is corresponding; Shopping type website: 10 network address that Taobao is corresponding, 5 network address that Jingdone district is corresponding;
If the title parameters sortnig is 24, then the clooating sequence of favorites data is shopping type website: 10 network address that Taobao is corresponding, 5 network address that Jingdone district is corresponding; Social type website: corresponding 3 network address of Sina, 1 network address that Netease is corresponding;
If the title parameters sortnig is 25, then the clooating sequence of favorites data is social type website: 1 network address that Netease is corresponding, corresponding 3 network address of Sina; Shopping type website: 5 network address that Jingdone district is corresponding, 10 network address that Taobao is corresponding.
Step 505 shows favorites data according to said clooating sequence.
Can generate the client functionality function according to the clooating sequence of above-mentioned definite favorites data, then said client functionality function sent to server.Server can show favorites data according to said clooating sequence according to said client function.
In sum, can be among the application according to multiple clooating sequence arrangement collection, can comprise according to the time arrangement, according to the arrangement of web site name order with according to the arrangement of Type of website order etc., and sort method is various in every kind of collating sequence.The user uses very convenient, and can satisfy user's various demands, flexible method, quick.
Preferably, described method also comprises:
According to the information of searching of input, search the network address in the collection.
Concrete grammar as: according to the input the information of searching, to the collection web page title or network address search.
In the prior art, the user need search if want in collection, to search certain network address of collection one by one, and is very time-consuming.
Also in collection, be provided with locating function among the application; During the network address of some collections that the user wants to search; Can import and search information accordingly, the client of browser can be searched network address corresponding in the collection according to the information of searching of user's input then.
The user can import the key word of web page title, and for example, the user imports one-piece dress, possibly be able to find collect in a plurality of shopping websites about one-piece network address.
And for example, the user imports www.xx, possibly find www.xx1.com, www.xx2.com and www.xx.com.cn.
In sum, also in collection, be provided with locating function among the application, according to the information of searching of input, can search network address corresponding in the collection fast according to web page title or network address, the user is easy to use, quick.
Among the application, can said collection data based on said ordering obtain user behavior information, and recommend corresponding Internet resources, concrete grammar comprises:
With reference to Fig. 6, provided user behavior orientation analysis method flow diagram in the disposal route of the said a kind of favorites data of the application embodiment.
Step 601 is carried out the counting in the section at the fixed time to the corresponding network address of the collection data of said ordering and the Type of website thereof;
For example; Read the favorites data of said ordering; Search time field and name field in each favorites data, can read the collection time of each collection data, can therefrom extract the network address of user's collection in nearest 3 months; Said favorites data is classified the Type of website that statistics is corresponding according to said name field.
Step 602 draws the network address quantity and the network address title thereof of user storage in each Type of website;
Above-mentioned network address to said extraction can be analyzed the corresponding Type of website of said network address according to the configuration file that presets, and each Type of website is carried out statistics and analysis, can draw the network address quantity and the network address title thereof of user storage in each Type of website then.
For example, add up the quantity of the network address of each Type of website storage, can obtain the Type of website of the maximum network address of user storage then.The network address of 10 shopping type websites, the network address of 7 network game class websites in 3 months, have been preserved like the user.
Step 603 is according to the maximum Type of website title of said network address quantity, matching network resource recommendation table;
Therefore above-mentioned network address quantity and the network address title thereof that has drawn user storage in each Type of website can count the maximum Type of website title of said network address quantity, then said Type of website title and said network resource recommended table mated.
Wherein, said network resource recommended table comprises: the Type of website and according to the Internet resources of classification of type.
For example, shopping type website can corresponding shopping advertisement, Net silver plug-in unit etc.
Step 604 is obtained the recommendation network resource information that is associated.
Can obtain the corresponding recommendation network resource information of said Type of website title through coupling.
Wherein, at least one in the inlet information of the said recommendation network resource information inlet information that is webpage network address, web application, webpage connector.
For example, the above-mentioned maximum Type of website of user's network address stored number that counts is shopping type website, therefore can recommend the advertisement of type of shopping to the user.
Preferably, the network resource information of said user behavior information and/or said recommendation obtains from server side.
User behavior information described in the application can be obtained from server side, and corresponding, the network resource information of said recommendation also can obtain from server side, and this is a kind of obtain manner certainly, and the application is not limited to this.
In sum, the application can analyze user's network address quantity of user storage in each Type of website in certain time period, recommends the relevant network resource information of the maximum Type of website of said network address stored number to the user then.Can improve the function of browser collection folder more, make the user when browsing collection, be more prone to find and oneself want website and the related web site logined.
The data of collection described in the application can be the network address of collecting in the browser.
With reference to Fig. 7, provided the treating apparatus structural drawing of the said a kind of favorites data of the application embodiment.
Accordingly, the application also provides a kind of collating unit of browser collection folder, comprising:
Receiver module 11 is used to receive the ordering request of favorites data, comprises required parameter in the wherein said ordering request;
Obtain and order module 12, be used for obtaining the corresponding field data of described request parameter from favorites data, and according to the favorites data of the said field of described request parameter marshalling;
Obtain behavioural information module 15, be used for obtaining user behavior information based on the favorites data of said ordering;
Generate and display module 16, be used for generating the network resource information of recommending, and together show with the collection folder data of said ordering according to said user behavior information.
Preferably, comprise in the ordering request of said reception: collating sequence, and said collating sequence comprises: at least one in time sequencing, web site name order and the Type of website order.
Said obtaining and order module 12 comprises:
Reading submodule 121 is used for reading the field data corresponding with said field parameter from favorites data;
Ordering submodule 122 is used for said field data is sorted according to said parameters sortnig, and the clooating sequence of definite favorites data;
Wherein, comprise field parameter and parameters sortnig in the described request parameter.
Preferably, described device also comprises:
Generating function module 13 is used for generating the client functionality function according to the clooating sequence of favorites data;
Video data module 14 is used to read said client functionality function, and shows said favorites data according to said clooating sequence.
Preferably, described device also comprises:
Search module 17, be used for the information of searching, search the network address in the collection according to input.
Preferably, the said module 17 of searching also is used for the information of searching according to input, and the web page title or the network address of collection are searched.
The said behavioural information module 15 of obtaining comprises:
Counting submodule 151 is used for the collection data of said the ordering corresponding network address and the Type of website thereof are carried out the counting of section at the fixed time;
The module 152 that bears fruit is used for drawing the network address quantity and the network address title thereof of each Type of website user storage.
Said generation and display module 16 comprise:
Matched sub-block 161 is used for according to the maximum Type of website title of said network address quantity, matching network resource recommendation table;
Obtain submodule 162, be used to obtain the recommendation network resource information that is associated.
Preferably, at least one in the inlet information of the said recommendation network resource information inlet information that is webpage network address, web application, webpage connector.
Preferably, said network resource recommended table comprises: the Type of website and according to the Internet resources of classification of type.
Preferably, the network resource information of said user behavior information and/or said recommendation obtains from server side
Said collection data can be the network address of collecting in the browser.
Preferably, said collating sequence is a time sequencing, and said obtaining and order module comprises:
Reading submodule is used to read favorites data, and according to the time-sequencing request that receives, time for reading field parameter time corresponding field comprises time field parameter and time-sequencing parameter in the wherein said time-sequencing request from favorites data;
The ordering submodule is used for the time field is sorted according to the time-sequencing parameter, the corresponding clooating sequence of confirming favorites data.
Preferably, said collating sequence is the web site name order, and said obtaining and order module comprises:
Reading submodule is used to read favorites data, according to the title ordering request that receives, from favorites data, reads the corresponding name field of name field parameter, comprises name field parameter and title parameters sortnig in the wherein said title ordering request;
The ordering submodule is used for name field is sorted according to the title parameters sortnig, the corresponding clooating sequence of confirming favorites data.
Preferably, said collating sequence is a Type of website order, and described device comprises read module, order module and display module, wherein:
Reading submodule is used to read favorites data, according to the type ordering request that receives, from favorites data, reads the corresponding name field of name field parameter, comprises name field parameter and type parameters sortnig in the wherein said type ordering request;
Analyze submodule, be used for analyzing the corresponding Type of website of each name field of favorites data.
The ordering submodule is used for name field is sorted according to the type parameters sortnig, the corresponding clooating sequence of confirming favorites data.
For device 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.
The application can describe in the general context of the computer executable instructions of being carried out by computing machine, for example program module.Usually, program module comprises the routine carrying out particular task or realize particular abstract, program, object, assembly, data structure or the like.Also can in DCE, put into practice the application, in these DCEs, by through communication network connected teleprocessing equipment execute the task.In DCE, program module can be arranged in this locality and the remote computer storage medium that comprises memory device.
At last; Also need to prove; In this article; Relational terms such as first and second grades only is used for an entity or operation are made a distinction with another entity or operation, and not necessarily requires or hint relation or the order that has any this reality between these entities or the operation.And; Term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability; Thereby make and comprise that process, method, commodity or the equipment of a series of key elements not only comprise those key elements; But also comprise other key elements of clearly not listing, or also be included as this process, method, commodity or equipment intrinsic key element.Under the situation that do not having much more more restrictions, the key element that limits by statement " comprising ... ", and be not precluded within process, method, commodity or the equipment that comprises said key element and also have other identical element.
More than to the disposal route and the device of a kind of favorites data 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 (30)
1. the disposal route of a favorites data is characterized in that, comprising:
Receive the ordering request of favorites data, comprise required parameter in the wherein said ordering request;
From favorites data, obtain the corresponding field data of described request parameter, and according to the favorites data of the said field of described request parameter marshalling;
Obtain user behavior information based on the favorites data of said ordering;
According to said user behavior information, generate the network resource information of recommending, and together show with the collection folder data of said ordering.
2. method according to claim 1 is characterized in that, comprises in the ordering request of said reception: collating sequence, and said collating sequence comprises: at least one in time sequencing, web site name order and the Type of website order.
3. method according to claim 2 is characterized in that, comprises field parameter and parameters sortnig in the required parameter of said ordering request,
The then said corresponding field data of described request parameter that from favorites data, reads, and according to the favorites data of the said field of described request parameter marshalling, comprising:
From favorites data, read the field data corresponding with said field parameter;
Said field data is sorted according to said parameters sortnig, and confirm the clooating sequence of said favorites data.
4. method according to claim 3 is characterized in that, further comprises:
Clooating sequence according to favorites data generates the client functionality function;
Read said client functionality function, and show said favorites data according to said clooating sequence.
5. method according to claim 3 is characterized in that, said collating sequence is a time sequencing;
Then saidly from favorites data, obtain the corresponding field data of described request parameter, and comprise according to the favorites data of the said field of described request parameter marshalling:
Read favorites data, according to the time-sequencing request that receives, time for reading field parameter time corresponding field comprises time field parameter and time-sequencing parameter in the wherein said time-sequencing request from favorites data;
The time field is sorted the corresponding clooating sequence of confirming favorites data according to the time-sequencing parameter.
6. method according to claim 2 is characterized in that, said collating sequence is a name order;
Then saidly from favorites data, obtain the corresponding field data of described request parameter, and comprise according to the favorites data of the said field of described request parameter marshalling:
Read favorites data,, from favorites data, read the corresponding name field of name field parameter, comprise name field parameter and title parameters sortnig in the wherein said title ordering request according to the title ordering request that receives;
Name field is sorted the corresponding clooating sequence of confirming favorites data according to the title parameters sortnig.
7. method according to claim 2 is characterized in that, said collating sequence is a type sequence;
Then saidly from favorites data, obtain the corresponding field data of described request parameter, and comprise according to the favorites data of the said field of described request parameter marshalling:
Read favorites data,, from favorites data, read the corresponding name field of name field parameter, comprise name field parameter and type parameters sortnig in the wherein said type ordering request according to the type ordering request that receives;
Said name field is sorted the corresponding clooating sequence of confirming favorites data according to the type parameters sortnig.
8. method according to claim 7 is characterized in that, said said name field is sorted according to the type parameters sortnig before, also comprise:
Analyze the corresponding Type of website of each name field in the favorites data.
9. method according to claim 1 is characterized in that, also comprises:
According to the information of searching of input, search favorites data.
10. method according to claim 9 is characterized in that, said step of searching favorites data is:
According to the information of searching of input, the web page title or the network address of collection are searched.
11. method according to claim 1 is characterized in that, said collection data based on said ordering are obtained user behavior information and are comprised:
The corresponding network address of the collection data of said ordering and the Type of website thereof are carried out the counting in the section at the fixed time;
Draw the network address quantity and the network address title thereof of user storage in each Type of website.
12. method according to claim 11 is characterized in that, the said user behavior information of said foundation generates the network resource information step of recommending and comprises:
According to the maximum Type of website title of said network address quantity, matching network resource recommendation table;
Obtain the recommendation network resource information that is associated.
13. method according to claim 12 is characterized in that, at least one in the inlet information that said recommendation network resource information is webpage network address, web application, the inlet information of webpage connector.
14. method according to claim 12 is characterized in that, said network resource recommended table comprises: the Type of website and according to the Internet resources of classification of type.
15. method according to claim 1 is characterized in that, the network resource information of said user behavior information and/or said recommendation obtains from server side.
16. the treating apparatus of a favorites data is characterized in that, comprising:
Receiver module is used to receive the ordering request of favorites data, comprises required parameter in the wherein said ordering request;
Obtain and order module, be used for obtaining the corresponding field data of described request parameter from favorites data, and according to the favorites data of the said field of described request parameter marshalling;
Obtain the behavioural information module, be used for obtaining user behavior information based on the favorites data of said ordering;
Generate and display module, be used for generating the network resource information of recommending, and together show with the collection folder data of said ordering according to said user behavior information.
17. device according to claim 16 is characterized in that, comprises in the ordering request of said reception: collating sequence, and said collating sequence comprises: at least one in time sequencing, web site name order and the Type of website order.
18. device according to claim 17 is characterized in that, said obtaining and order module comprises:
Reading submodule is used for reading the field data corresponding with said field parameter from favorites data;
The ordering submodule is used for said field data is sorted according to said parameters sortnig, and the clooating sequence of definite favorites data;
Wherein, comprise field parameter and parameters sortnig in the described request parameter.
19. device according to claim 18 is characterized in that, also comprises:
The generating function module is used for generating the client functionality function according to the clooating sequence of favorites data;
The video data module is used to read said client functionality function, and shows said favorites data according to said clooating sequence.
20. device according to claim 18 is characterized in that, said collating sequence is a time sequencing, and said obtaining and order module comprises:
Reading submodule is used to read favorites data, and according to the time-sequencing request that receives, time for reading field parameter time corresponding field comprises time field parameter and time-sequencing parameter in the wherein said time-sequencing request from favorites data;
The ordering submodule is used for the time field is sorted according to the time-sequencing parameter, the corresponding clooating sequence of confirming favorites data.
21. device according to claim 18 is characterized in that, said collating sequence is the web site name order, and said obtaining and order module comprises:
Reading submodule is used to read favorites data, according to the title ordering request that receives, from favorites data, reads the corresponding name field of name field parameter, comprises name field parameter and title parameters sortnig in the wherein said title ordering request;
The ordering submodule is used for name field is sorted according to the title parameters sortnig, the corresponding clooating sequence of confirming favorites data.
22. device according to claim 18 is characterized in that, said collating sequence is a Type of website order, and said obtaining and order module comprises:
Reading submodule is used to read favorites data, according to the type ordering request that receives, from favorites data, reads the corresponding name field of name field parameter, comprises name field parameter and type parameters sortnig in the wherein said type ordering request;
The ordering submodule is used for name field is sorted according to the type parameters sortnig, the corresponding clooating sequence of confirming favorites data.
23. device according to claim 22 is characterized in that, also comprises:
Analyze submodule, be used for analyzing the corresponding Type of website of each name field of favorites data.
24. device according to claim 16 is characterized in that, also comprises:
Search module, be used for the information of searching, search favorites data according to input.
25. device according to claim 24 is characterized in that, the said module of searching also is used for the information of searching according to input, and the web page title or the network address of collection are searched.
26. device according to claim 16 is characterized in that, the said behavioural information module of obtaining comprises:
The counting submodule is used for the collection data of said the ordering corresponding network address and the Type of website thereof are carried out the counting of section at the fixed time;
The module that bears fruit is used for drawing the network address quantity and the network address title thereof of each Type of website user storage.
27. device according to claim 26 is characterized in that, said generation and display module comprise:
Matched sub-block is used for according to the maximum Type of website title of said network address quantity, matching network resource recommendation table;
Obtain submodule, be used to obtain the recommendation network resource information that is associated.
28. device according to claim 27 is characterized in that, at least one in the inlet information that said recommendation network resource information is webpage network address, web application, the inlet information of webpage connector.
29. device according to claim 27 is characterized in that, said network resource recommended table comprises: the Type of website and according to the Internet resources of classification of type.
30. device according to claim 16 is characterized in that, the network resource information of said user behavior information and/or said recommendation obtains from server side.
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