CN103914490A - Webpage running method and system - Google Patents
Webpage running method and system Download PDFInfo
- Publication number
- CN103914490A CN103914490A CN201310006595.7A CN201310006595A CN103914490A CN 103914490 A CN103914490 A CN 103914490A CN 201310006595 A CN201310006595 A CN 201310006595A CN 103914490 A CN103914490 A CN 103914490A
- Authority
- CN
- China
- Prior art keywords
- theme
- page
- webpage
- related coefficient
- keyword
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Transfer Between Computers (AREA)
Abstract
The invention discloses a webpage running method and system. The webpage running method comprises the steps of extracting subject content from a webpage; obtaining keywords which are associated with the subject content from a database and generating a page which comprises the number of clicks, the number of purchase, the number of search and the number of display for every keyword; calculating correlation coefficients of the keywords of the pages based on the number of clicks, the number of purchase, the number of search and the number of display of the keywords in the pages; selecting the keywords according to a sequence that correlation coefficients are from high to low to serve as display keywords, wherein the keyword is equal to a preset value; combining the pages which comprise the display keywords to serve as display content of the webpage. The invention also provides the system utilizing the webpage running method. According to the webpage running method and system, the correlation degree of page content and the subject content is judged to select the matched page content and accordingly the valuable information which is associated with the subject content can be obtained by a user conveniently.
Description
Technical field
The present invention relates to a kind of webpage operation method and system, particularly relate to webpage operation method and system in a kind of internet.
Background technology
Internet has become the hot technology of computer realm, and the universal people of making of internet can break through the restriction of space, region, shares easily information resources.Internet is as a kind of information service, and the fast development having obtained since being born, becomes a huge information bank, is storing a large amount of valuable information, so people can search own interested various contents thereon.
But the data volume just because of internet is very huge, so the content of pages being associated with subject content in requests for page is very many, up to ten thousand easily, or even hundreds thousand of.Although this wherein has quite a few content of pages relevant to subject content, irrelevant with the content of requests for page actual request, collect and feed back these irrelevant content of pages by waste user's plenty of time the energy of dispersion user.
Summary of the invention
The technical problem to be solved in the present invention is the defect that has comprised in a large number the content of pages of garbage in order to have overcome in prior art for the subject content association of requests for page, a kind of webpage operation method and system are provided, the content of pages that comprises subject content by judgement selects with the degree of correlation of subject content the content of pages mating the most with subject content, so improved the efficiency of subject content association.
The present invention solves above-mentioned technical matters by following technical proposals:
The invention provides a kind of webpage operation method, be characterized in, described webpage operation method comprises the following steps:
S1, from a webpage, extract subject content;
In the present invention, utilize existing webpage analytic technique, from the webpage that comprises subject content, resolve and extract subject content, and subject content described in the present invention refers to the content of operation of the operation such as user's webpage clicking, Webpage searching or retrieval, by these operations, the present invention can feed back to user corresponding to the data such as result or process intermediate value of described operation by user.
S2, obtain keyword that each and described subject content is associated and generates the number of clicks that comprises described keyword, a page of purchase number of times, searching times and demonstration number of times for each keyword from a database;
In the present invention, determine feedback data by the correlation degree that compares the described keyword being associated with subject content.The all described keyword that wherein said subject content is associated is the keyword setting by existing corresponding technology, so no longer elaborate the associated mechanism of described subject content and described keyword in the present invention.And the number of clicks of described keyword, buy number of times, searching times and demonstration number of times is all supplemental characteristics of predefined described keyword, so equally no longer elaborate herein described keyword above-mentioned parameter the mechanism such as obtain.
The wherein said page is the component part of webpage in Internet technology, thus herein to the structure of the page with and be not described in detail with the associated of webpage.And the present invention is determining after keyword, by existing page analytic method, for each keyword generates a page that comprises above-mentioned parameter content.
S3, respectively the number of clicks based on keyword in each page, buy number of times, searching times and demonstration number of times and calculate the related coefficient of the keyword of the described page;
S4, choose with the keyword of a default value equal amount as showing keyword by related coefficient order from high to low;
Because the quantity of the associated keyword of subject content is very large, for example 1,000,000 etc., so the present invention determine with the highest one group of keyword of the described subject content degree of association and find out by related coefficient, as the data of feedback.
S5, each is comprised to described demonstration keyword page pool as the displaying contents of described webpage.
Wherein said displaying contents is the content showing in modes such as figures in existing Webpage, so no longer elaborate the concrete display mechanism of described content herein.
Preferably, described step S3 is:
Calculate the related coefficient of the keyword of each page by following formula,
Wherein said Rs (T, K) be described related coefficient, described Search (T, K) is described searching times, described Click (T, K) be described number of clicks, described Sale (T, K) is described purchase number of times, described Show (T, K) for showing number of times, described w
1, w
2and w
3all be more than or equal to zero, and described w
1+ w
2+ w
3=1.
In the present invention, utilize the mode of weighting weight to regulate described searching times, number of clicks and buy the impact of number of times on the degree of association between described keyword and described subject content.That is to say, determine the degree of correlation between described subject content and each page by the calculating of this degree of correlation.
Preferably, in described step S3, be:
Calculate the related coefficient of the keyword of each page by following formula,
Rs(T,K)=(1-i/n)×Rm+i/n×Ri(T,K)
Wherein said Rs (T, K) is described related coefficient, described Ri (T, K) be system related coefficient, described Rm is for intervening coefficient, described Search (T, K) be described searching times, described Click (T, K) is described number of clicks, described Sale (T, K) be described purchase number of times, described Show (T, K) is for showing number of times, and described w
1, w
2and w
3all be more than or equal to zero, described w
1+ w
2+ w
3=1, described n is intervention time segment length, and described i is current working time, wherein 0≤i≤n.
In the present invention, in order to revise and detect the described page degree of correlation, the present invention is by adding the parameter of manual intervention to adjust the calculating of the described page degree of correlation, and therefore described Rm and n are that those skilled in the art can arrange arbitrarily.And because described i constantly becomes large along with the passage of working time, thereby the parameter of described manual intervention is less on the impact of the page degree of correlation calculating.And those skilled in the art can control by changing n the time of revising and detecting, and in the time of i=n, those skilled in the art can re-start the calculating of the above-mentioned page degree of correlation or thoroughly abandon manual intervention, and using system related coefficient directly as described related coefficient.
Preferably, after described step S5, also comprise step S6, wherein step S6 comprises:
S61, comprise described theme in the number of clicks of a special time period and buy the one first theme page of number of times for each theme in described database generates;
S62, the respectively number of clicks based on each described first theme page and purchase number of times calculate the first related coefficient of the theme of the described first theme page;
S63, choose with the theme of one first default value equal amount and show topics as first by described the first related coefficient order from high to low;
S64, each is comprised to the displaying contents of the described first theme page pool showing topics as described webpage.
Wherein theme described in the present invention is pre-recorded in database, and described theme is the index of sign one class keywords conventional in prior art equally, so repeat no more function and the structure of described theme herein.And special time period described in the present invention is that user can set arbitrarily.
Preferably, after described step S5, also comprise step S7, wherein step S7 comprises:
S71, extract user ID data from described webpage;
S72, from described database, extract each theme of being associated with described user ID data, and be respectively each theme and generate the number of clicks that comprises described theme and a second theme page of purchase number of times;
S73, the respectively number of clicks based on each described second theme page and purchase number of times calculate the second related coefficient of the theme of the described second theme page;
S74, choose with the theme of one second default value equal amount and show topics as second by described the second related coefficient order from high to low;
S75, each is comprised to the displaying contents of the described second theme page pool showing topics as described webpage.
In the present invention by the user profile data of current web page are also determined and the high theme page of the current web page degree of association as an associated influence factor of the theme page, wherein said user profile data are also that user is in the activities such as operation web page, the data message comprising in web page code, so no longer elaborate described user profile data herein.
Preferably, after described step S5, also comprise step S8, wherein step S8 comprises:
S81, from described database, extract each theme of being associated with described subject content, and be respectively each theme and generate the number of clicks that comprises described theme and one the 3rd theme page of purchase number of times;
The third phase that S82, the respectively number of clicks based on each described the 3rd theme page and purchase number of times calculate the theme of described the 3rd theme page closes coefficient;
S83, close coefficient order from high to low by described third phase and choose with the theme of one the 3rd default value equal amount and show topics as the 3rd;
S84, each is comprised to the displaying contents of the described the 3rd theme page pool showing topics as described webpage.
The present invention also determines the theme page high with the current web page degree of association by the degree of association of subject content in the theme page and webpage further.
The numerical value of above-mentioned the first default value, the second default value and the 3rd default value all can arrange arbitrarily.
Preferably, after described step S5, also comprise step S9, wherein step S9 comprises:
S91, comprise described theme in the number of clicks of a sample time period and buy one the 4th theme page of number of times for each theme in described database generates;
S92, number of clicks based on described the 4th theme page and buy number of times and calculate the 4th related coefficient of described theme;
S93, extract user ID data from described webpage;
S94, from described database, extract each theme of being associated with described user ID data, and be respectively each theme and generate the number of clicks that comprises described theme and one the 5th theme page of purchase number of times;
S95, number of clicks based on described the 5th theme page and buy number of times and calculate the 5th related coefficient of described theme;
S96, from described database, extract each theme of being associated with described subject content, and be respectively each theme and generate the number of clicks that comprises described theme and one the 6th theme page of purchase number of times;
S97, number of clicks based on described the 6th theme page and buy number of times and calculate the 6th related coefficient of described theme;
S98, the coefficient of total correlation of theme described in the 4th related coefficient based on each theme in described database, the 5th related coefficient and the 6th Calculation of correlation factor respectively;
S98, choose with the theme of one the 4th default value equal amount and show topics as the 4th by described coefficient of total correlation order from high to low;
S99, each is comprised to the displaying contents of the described the 4th theme page pool showing topics as described webpage.
In the present invention, for all themes of storing in database all carry out the calculating of the different degrees of correlation from subject content, and the COMPREHENSIVE CALCULATING of each degree of correlation by each theme, judges the height of correlation degree between theme and subject content.Wherein not carrying out in the theme of a certain relatedness computation the related coefficient of this degree of correlation is defaulted as 0 grade and can have on total correlation degree the numerical value of any impact.
Preferably, described step S98 is:
Calculate the coefficient of total correlation of described theme by following formula:
Rz(T)=v
1×H(T)+v
2×P(T)+v
3×A(T,T')
Wherein said Rz (T) is the coefficient of total correlation, and described H (T) is the 4th related coefficient, and described P (T) is the 5th related coefficient, and described A (T, T ') is the 6th related coefficient, described v
1, v
2and v
3all be more than or equal to zero, and described v
1+ v
2+ v
3=1.
In the present invention, utilize the mode of weighting weight to regulate the impact of the degree of association between described theme and subject content.That is to say, determine the degree of correlation between described subject content and each theme page by the calculating of this degree of correlation.
The present invention also provides a kind of webpage operational system, be characterized in, described webpage operational system comprises a web page server and multiple client, and wherein said web page server comprises a database, one page face generation module, a relatedness computation module and a webpage generation module;
The webpage that described web page server obtains from described client, extract a subject content, and obtain from described database the keyword that each and described subject content is associated;
Described page generation module is that each keyword generates the number of clicks that comprises described keyword, a page of buying number of times, searching times and demonstration number of times;
Described relatedness computation module respectively the number of clicks based on keyword in each page, buy number of times, searching times and demonstration number of times and calculate the related coefficient of the keyword of the described page;
Described web page server is chosen with the keyword of a default value equal amount as showing keyword by related coefficient order from high to low;
The page pool that each is comprised described demonstration keyword by described webpage generation module is sent to described client as the displaying contents of described webpage and by the described page.
For convenience of description, in the present invention, described web page server is divided into various modules according to function and describes respectively, so in the time that enforcement is of the present invention, the function of each module can be realized in same or multiple software and/or hardware.
Preferably, described relatedness computation module is calculated the related coefficient of the keyword of each page by following formula,
Wherein said Rs (T, K) be described related coefficient, described Search (T, K) is described searching times, described Click (T, K) be described number of clicks, described Sale (T, K) is described purchase number of times, described Show (T, K) for showing number of times, described w
1, w
2and w
3all be more than or equal to zero, and described w
1+ w
2+ w
3=1.
Preferably, described relatedness computation module is calculated the related coefficient of the keyword of each page by following formula,
Rs(T,K)=(1-i/n)×Rm+i/n×Ri(T,K)
Wherein said Rs (T, K) is described related coefficient, described Ri (T, K) be system related coefficient, described Rm is for intervening coefficient, described Search (T, K) be described searching times, described Click (T, K) is described number of clicks, described Sale (T, K) be described purchase number of times, described Show (T, K) is for showing number of times, described w
1, w
2and w
3all be more than or equal to zero, and described w
1+ w
2+ w
3=1, described n is intervention time segment length, and described i is current working time, wherein 0≤i≤n.
Preferably, the page generation module of described web page server also comprises the one first theme page of described theme at the number of clicks of a special time period and purchase number of times for each theme in described database generates;
The described relatedness computation module number of clicks based on each described first theme page and buy number of times and calculate the first related coefficient of the theme of the described first theme page respectively;
Described web page server is chosen with the theme of one first default value equal amount and is showed topics as first by described the first related coefficient order from high to low;
Described webpage generation module also comprises each the displaying contents of the described first theme page pool showing topics as described webpage.
Preferably, the webpage that described web page server also obtains from described client extracts user ID data;
Described page generation module also extracts each theme of being associated with described user ID data from described database, and is respectively each theme and generates the number of clicks that comprises described theme and a second theme page of purchase number of times;
The described relatedness computation module number of clicks based on each described second theme page and buy number of times and calculate the second related coefficient of the theme of the described second theme page respectively;
Described web page server is chosen with the theme of one second default value equal amount and is showed topics as second by described the second related coefficient order from high to low;
Described webpage generation module also comprises each the displaying contents of the described second theme page pool showing topics as described webpage.
Preferably, the page generation module of described web page server also extracts each theme of being associated with described subject content from described database, and is respectively each theme and generates the number of clicks that comprises described theme and one the 3rd theme page of purchase number of times;
The described relatedness computation module respectively number of clicks based on each described the 3rd theme page is closed coefficient with the third phase that purchase number of times calculates the theme of described the 3rd theme page;
Described web page server is chosen with the theme of one the 3rd default value equal amount and is showed topics as the 3rd by described third phase pass coefficient order from high to low;
Described webpage generation module also comprises each the displaying contents of the described the 3rd theme page pool showing topics as described webpage.
Meeting on the basis of this area general knowledge, above-mentioned each optimum condition, can combination in any, obtains the preferred embodiments of the invention.
Positive progressive effect of the present invention is:
The content of pages that webpage operation method of the present invention and system comprise subject content by judgement selects with the degree of correlation of subject content the content of pages mating the most with subject content, so improved the efficiency of subject content association, be convenient to user and obtain the more valuable information associated with subject content.
Accompanying drawing explanation
Fig. 1 is the structural representation of the webpage operational system of embodiments of the invention 1.
Fig. 2 is the process flow diagram of the webpage operation method of embodiments of the invention 1.
Fig. 3 is the process flow diagram of the webpage operation method of embodiments of the invention 2.
Fig. 4 is the process flow diagram of the webpage operation method of embodiments of the invention 3.
Fig. 5 is the process flow diagram of the webpage operation method of embodiments of the invention 4.
Fig. 6 is the process flow diagram of the webpage operation method of embodiments of the invention 5.
Embodiment
The content of pages that the present invention comprises subject content by judgement chooses with the degree of correlation of subject content the content of pages mating the most with subject content, thereby the content of pages that fast selecting is mated with subject content in the content of pages of magnanimity, is convenient to user and obtains more valuable information.Mode below by embodiment further illustrates the present invention, but does not therefore limit the present invention among described scope of embodiments.
Embodiment 1
As shown in Figure 1, the webpage operational system in the present embodiment comprises a web page server 1 and multiple client 2, and in the present embodiment, all client provides the webpage that comprises subject content for web page server, so the quantity of described client 2 is can be arbitrarily.
Wherein said web page server 1 comprises a database 11, one page face generation module 12, a relatedness computation module 13 and a webpage generation module 14.
Between web page server 1 described in the present embodiment and each client 2, all set up and have communication link, so described web page server 1 can be communicated by letter with each client 2 separately respectively, the foundation of wherein said communication link and communication mode are all the conventional means in the existing network communication technology, so be no longer described in detail herein.
Described in the present embodiment, web page server 1 is by extracting a subject content the webpage obtaining from described client 2 with the communication link of described client 2, and obtains from described database 11 keyword that each and described subject content is associated.Wherein database 11 described in the present embodiment comprises all keywords and the data content relevant to described keyword, the data content specifically comprising in described database 11 can be adjusted arbitrarily according to the actual needs of technician's work, does not limit the concrete data content comprising in described data 11 in the present embodiment.
The number of clicks that described page generation module 12 comprises described keyword for each keyword generates, a page of buying number of times, searching times and demonstration number of times.That is to say, in the present embodiment, by Data Integration to page searching the described keyword that obtains be associated in database 11, the described page comprises the related content that relates to described keyword.
Described relatedness computation module 13 respectively the number of clicks based on keyword in each page, buy number of times, searching times and demonstration number of times and calculate the related coefficient of the keyword of the described page.
Specifically, described relatedness computation module 13 is by following formula 1) calculate the related coefficient of the keyword of each page,
Described formula 1) described in Rs (T, K) be described related coefficient, described Search (T, K) is described searching times, described Click (T, K) be described number of clicks, described Sale (T, K) is described purchase number of times, described Show (T, K) for showing number of times, described w
1, w
2and w
3all be more than or equal to zero, and described w
1+ w
2+ w
3=1.
Can be by regulating described w in the present embodiment
1, w
2and w
3numerical value regulate weighting weight, and then regulate described searching times, number of clicks and buy the impact of number of times on the degree of association between described keyword and described subject content.By calculating formula 1) determine the degree of correlation between described subject content and each page.
Specifically, in the present embodiment, the false code of above-mentioned implementation is as follows:
The another kind of implementation of calculating related coefficient in the present embodiment is as follows:
Described relatedness computation module 13 through types 2) and formula 3) calculate the related coefficient of the keyword of each page,
Rs(T,K)=(1-i/n)×Rm+i/n×Ri(T,K) 3）
Formula 2) and formula 3) described in Rs (T, K) be described related coefficient, described Ri (T, K) be system related coefficient, described Rm is for intervening coefficient, described Search (T, K) be described searching times, described Click (T, K) is described number of clicks, described Sale (T, K) be described purchase number of times, described Show (T, K) is for showing number of times, described w
1, w
2and w
3all be more than or equal to zero, and described w
1+ w
2+ w
3=1, described n is intervention time segment length, and described i is current working time, wherein 0≤i≤n.
In the implementation of this calculating related coefficient, can revise and detect the described page degree of correlation, specifically, exactly by adding the parameter of manual intervention to adjust the calculating of the described page degree of correlation, therefore described Rm and n are that those skilled in the art can arrange arbitrarily.And because described i constantly becomes large along with the passage of working time, thereby the parameter of described manual intervention is less on the impact of the page degree of correlation calculating.And those skilled in the art can control by changing n the time of revising and detecting, and in the time of i=n, those skilled in the art can re-start the calculating of the above-mentioned page degree of correlation, or thoroughly abandon manual intervention, use the first implementation of calculating related coefficient in the present embodiment, using system related coefficient directly as described related coefficient.
Specifically, the false code of implementation described in this enforcement is as follows:
Described web page server 1 is chosen with the keyword of a default value N equal amount as showing keyword by related coefficient order from high to low.Specifically, the related coefficient of web page server 1 described in the present embodiment based on each page is by described page descending sort, and according to the numerical values recited of described default value N, from the page of related coefficient maximum, choose the page with the numerical value equal amount of described default value N.
After this page pool that, each is comprised described demonstration keyword by described webpage generation module 14 is sent to described client 2 as the displaying contents of described webpage and by the described page.Now client 2 has also just obtained the content of pages mating most with subject content.
So as shown in Figure 2, the workflow of the webpage operational system of the present embodiment is as follows:
Step 101 is extracted subject content from the webpage of client 2.
Step 102, obtain from database 11 keyword that each and described subject content is associated.
Step 103, the number of clicks that described page generation module 12 comprises described keyword for each keyword generates, the page of buying number of times, searching times and demonstration number of times.
Step 104, relatedness computation module 13 respectively the number of clicks based on keyword in each page, buy number of times, searching times and demonstration number of times and calculate the related coefficient of the keyword of the described page.
Wherein said relatedness computation module 13 both can have been used formula 1) computing method calculate related coefficient, also can use formula 2) and formula 3) computing method calculating related coefficient.
Step 105, described web page server 1 is chosen with the keyword of described default value N equal amount as showing keyword by related coefficient order from high to low.
Step 106, the page pool that each is comprised described demonstration keyword by described webpage generation module 14 is as the displaying contents of described webpage.
Embodiment 2
The present embodiment, on the basis of embodiment 1, to further calculating the degree of correlation in the page of selection, thereby makes the page of selection more mate with subject content.
Specifically, the described page generation module 12 of the present embodiment also comprises the one first theme page of described theme at the number of clicks of a special time period T and purchase number of times for each theme in described database 11 generates.The all keywords and the data content relevant to described keyword that in the present embodiment, have not only used described database 1 to comprise, also used all themes and relevant data content thereof.
Concrete time point and the time span of described feature time period T can arrange arbitrarily, for example the number of clicks of described theme and purchase number of times in the time period of selected 2012-12-2123:00 to 2012-12-221:00.The data content of the Topic relative specifically comprising in described database 11 is to adjust arbitrarily according to the actual needs of technician's work equally, does not limit equally the concrete described data content comprising in described data 11 in the present embodiment.
Described relatedness computation module 13 number of clicks based on each described first theme page and buy number of times and calculate the first related coefficient of the theme of the described first theme page respectively.Wherein said the first related coefficient can adopt any existing Calculation of correlation factor mode, and the present embodiment does not limit the concrete account form of described the first related coefficient.
Described web page server 1 is chosen and one first default value N by described the first related coefficient order from high to low
1the theme of equal amount shows topics as first.Theme described herein to choose mode in the same manner as in Example 1, so repeat no more herein.
Described webpage generation module 14 also comprises each the displaying contents of the described first theme page pool showing topics as described webpage.
So as shown in Figure 3, the workflow of the webpage operational system of the present embodiment is as follows:
Step 201 is extracted subject content from the webpage of client 2.
Step 202, obtain from database 11 keyword that each and described subject content is associated.
Step 203, the number of clicks that described page generation module 12 comprises described keyword for each keyword generates, the page of buying number of times, searching times and demonstration number of times.
Step 204, described relatedness computation module 13 respectively the number of clicks based on keyword in each page, buy number of times, searching times and demonstration number of times and calculate the related coefficient of the keyword of the described page.
Wherein said relatedness computation module 13 both can have been used embodiment 1 Chinese style 1) computing method calculate related coefficient, also can use embodiment 1 Chinese style 2) and formula 3) computing method calculating related coefficient.
Step 205, described web page server 1 is chosen with the keyword of described default value N equal amount as showing keyword by related coefficient order from high to low.
Step 206, the page pool that each is comprised described demonstration keyword by described webpage generation module 14 is as the displaying contents of described webpage.
Step 207, described page generation module 12 comprises the described first theme page of described theme at the number of clicks of described special time period T and purchase number of times for each theme in described database 11 generates.
Step 208, described relatedness computation module 13 number of clicks based on each described first theme page and buy number of times and calculate the first related coefficient of the theme of the described first theme page respectively.
Step 209, described web page server 1 is chosen and described the first default value N by described the first related coefficient order from high to low
1the theme of equal amount shows topics as first.
Step 210, each is comprised the displaying contents of the described first theme page pool showing topics as described webpage by described webpage generation module 14.
Embodiment 3
The present embodiment on the basis of embodiment 1, to further calculating the degree of correlation in the page of selection, thereby makes the page of selection more mate with subject content equally.
Specifically, the webpage that described web page server 1 also obtains from described client 2, extract user ID data.
Described page generation module 12 also extracts each theme of being associated with described user ID data from described database 11, and is respectively each theme and generates the number of clicks that comprises described theme and a second theme page of purchase number of times.The data that described in the described database 11 of the present embodiment, theme relates at least also have user ID data on the basis of data content described in embodiment 2.
Described relatedness computation module 13 number of clicks based on each described second theme page and buy number of times and calculate the second related coefficient of the theme of the described second theme page respectively.Equally, the second related coefficient described in the present embodiment can adopt any existing Calculation of correlation factor mode, and the present embodiment does not limit the concrete account form of described the second related coefficient.
Described web page server 1 is chosen and one second default value N by described the second related coefficient order from high to low
2the theme of equal amount shows topics as second.Theme described herein to choose mode in the same manner as in Example 1, so repeat no more equally herein.
Described webpage generation module 14 also comprises each the displaying contents of the described second theme page pool showing topics as described webpage.
So as shown in Figure 4, the workflow of the webpage operational system of the present embodiment is as follows:
Step 301 is extracted subject content from the webpage of client 2.
Step 302, obtain from database 11 keyword that each and described subject content is associated.
Step 303, the number of clicks that described page generation module 12 comprises described keyword for each keyword generates, the page of buying number of times, searching times and demonstration number of times.
Step 304, described relatedness computation module 13 respectively the number of clicks based on keyword in each page, buy number of times, searching times and demonstration number of times and calculate the related coefficient of the keyword of the described page.
Wherein said relatedness computation module 13 both can have been used embodiment 1 Chinese style 1) computing method calculate related coefficient, also can use embodiment 1 Chinese style 2) and formula 3) computing method calculating related coefficient.
Step 305, described web page server 1 is chosen with the keyword of described default value N equal amount as showing keyword by related coefficient order from high to low.
Step 306, the page pool that each is comprised described demonstration keyword by described webpage generation module 14 is as the displaying contents of described webpage.
Step 307, described web page server 1 extracts user ID data from described webpage.
Step 308, described web page server 1 extracts the each theme being associated with described user ID data from described database 11.
Step 309, described page generation module 12 is respectively each theme and generates the number of clicks that comprises described theme and a described second theme page buying number of times.
Step 310, described relatedness computation module 13 number of clicks based on each described second theme page and buy number of times and calculate the second related coefficient of the theme of the described second theme page respectively.
Step 311, described page server 1 is chosen and described the second default value N by described the second related coefficient order from high to low
2the theme of equal amount shows topics as second.
Step 312, each is comprised the displaying contents of the described second theme page pool showing topics as described webpage by described web page server 1.
Embodiment 4
The present embodiment on the basis of embodiment 1, to further calculating the degree of correlation in the page of selection, thereby makes the page of selection more mate with subject content equally.
Specifically, the page generation module 12 of described web page server 1 also extracts each theme of being associated with described subject content from described database 11, and is respectively each theme and generates the number of clicks that comprises described theme and one the 3rd theme page of purchase number of times;
The described relatedness computation module 13 respectively number of clicks based on each described the 3rd theme page is closed coefficient with the third phase that purchase number of times calculates the theme of described the 3rd theme page.Equally, third phase described in the present embodiment closes coefficient can adopt any existing Calculation of correlation factor mode, and the present embodiment does not limit the concrete account form of described third phase pass coefficient.
Described web page server 1 closes coefficient order from high to low by described third phase to be chosen and one the 3rd default value N
3the theme of equal amount shows topics as the 3rd.Theme described herein to choose mode in the same manner as in Example 1, so repeat no more equally herein.
Described webpage generation module 14 also comprises each the displaying contents of the described the 3rd theme page pool showing topics as described webpage.
So as shown in Figure 5, the workflow of the webpage operational system of the present embodiment is as follows:
Step 401 is extracted subject content from the webpage of client 2.
Step 402, obtain from database 11 keyword that each and described subject content is associated.
Step 403, the number of clicks that described page generation module 12 comprises described keyword for each keyword generates, the page of buying number of times, searching times and demonstration number of times.
Step 404, described relatedness computation module 13 respectively the number of clicks based on keyword in each page, buy number of times, searching times and demonstration number of times and calculate the related coefficient of the keyword of the described page.
Wherein said relatedness computation module 13 both can have been used embodiment 1 Chinese style 1) computing method calculate related coefficient, also can use embodiment 1 Chinese style 2) and formula 3) computing method calculating related coefficient.
Step 405, described web page server 1 is chosen with the keyword of described default value N equal amount as showing keyword by related coefficient order from high to low.
Step 406, the page pool that each is comprised described demonstration keyword by described webpage generation module 14 is as the displaying contents of described webpage.
Step 407, described web page server 1 extracts the each theme being associated with described subject content from described database 11.
Step 408, described page generation module 12 is respectively each theme and generates the number of clicks that comprises described theme and described a 3rd theme page buying number of times.
Step 409, the described relatedness computation module 13 respectively number of clicks based on each described the 3rd theme page is closed coefficient with the third phase that purchase number of times calculates the theme of described the 3rd theme page.
Step 410, described web page server 1 closes coefficient order from high to low by described third phase to be chosen and described the 3rd default value N
3the theme of equal amount shows topics as the 3rd.
Step 411, each is comprised the displaying contents of the described the 3rd theme page pool showing topics as described webpage by described webpage generation module 14.
Embodiment 5
The present embodiment has been integrated described embodiment 2-4, to further optimizing and calculate the degree of correlation in the page of selection, thereby the page of selection is mated more with subject content.
Specifically, in the operational system of webpage described in the present embodiment, the function of all parts and module is identical with embodiment 2-4, so be no longer described in detail herein.Wherein said the 4th related coefficient is the first related coefficient of embodiment 2; Described the 5th related coefficient is the second related coefficient of embodiment 3; The third phase that described the 6th related coefficient is embodiment 4 closes coefficient.Described the 4th theme page is equivalent to the first theme page in embodiment 2; Described the 5th theme page is equivalent to the second theme page in embodiment 3; Described the 6th theme page is equivalent to the 3rd theme page in embodiment 4.In addition, comprised the function in above-described embodiment just because of the present embodiment, so all the other parameters are mutually corresponding with the parameters relating in above-described embodiment in the present embodiment.
In addition, in the present embodiment, relatedness computation module 13 is also described further by above-mentioned related coefficient and formula 4) calculate the coefficient of total correlation of described theme:
Rz(T)=v
1×H(T)+v
2×P(T)+v
3×A(T,T') 4）
Wherein said Rz (T) is the coefficient of total correlation, and described H (T) is the 4th related coefficient, and described P (T) is the 5th related coefficient, and described A (T, T ') is the 6th related coefficient, described v
1, v
2and v
3all be more than or equal to zero, and described v
1+ v
2+ v
3=1.
Specifically, the false code of the implementation of the coefficient of total correlation described in the present embodiment is as follows:
So as shown in Figure 6, the workflow of the webpage operational system of the present embodiment is as follows:
Step 501 is extracted subject content from the webpage of client 2.
Step 502, obtain from database 11 keyword that each and described subject content is associated.
Step 503, the number of clicks that described page generation module 12 comprises described keyword for each keyword generates, the page of buying number of times, searching times and demonstration number of times.
Step 504, described relatedness computation module 13 respectively the number of clicks based on keyword in each page, buy number of times, searching times and demonstration number of times and calculate the related coefficient of the keyword of the described page.
Wherein said relatedness computation module 13 both can have been used embodiment 1 Chinese style 1) computing method calculate related coefficient, also can use embodiment 1 Chinese style 2) and formula 3) computing method calculating related coefficient.
Step 505, described web page server 1 is chosen with the keyword of described default value N equal amount as showing keyword by related coefficient order from high to low.
Step 506, the page pool that each is comprised described demonstration keyword by described webpage generation module 14 is as the displaying contents of described webpage.
Step 507, described page generation module 12 comprises described theme at a sample time period T for each theme in described database 11 generates
1number of clicks and buy described the 4th theme page of number of times.
Step 508, the number of clicks of described relatedness computation module 13 based on described the 4th theme page and purchase number of times calculate the 4th related coefficient of described theme.
Step 509, described web page server 1 extracts user ID data from described webpage.
Step 510, described web page server 1 extracts the each theme being associated with described user ID data from described database.
Step 511, described page generation module 12 is respectively each theme and generates the number of clicks that comprises described theme and described a 5th theme page buying number of times.
Step 512, the number of clicks of described relatedness computation module 13 based on described the 5th theme page and purchase number of times calculate the 5th related coefficient of described theme.
Step 513, described web page server 1 extracts the each theme being associated with described subject content from described database.
Step 514, described relatedness computation module 13 is respectively each theme and generates the number of clicks that comprises described theme and described a 6th theme page buying number of times.
Step 515, the number of clicks of described relatedness computation module 13 based on described the 6th theme page and purchase number of times calculate the 6th related coefficient of described theme.
Step 516, the also coefficient of total correlation of theme described in the 4th related coefficient based on each theme in described database, the 5th related coefficient and the 6th Calculation of correlation factor respectively of described relatedness computation module 13.
Step 517, described web page server 1 is chosen and one the 4th default value N by described coefficient of total correlation order from high to low
4the theme of equal amount shows topics as the 4th.
Step 518, each is comprised the displaying contents of the described the 4th theme page pool showing topics as described webpage by described webpage generation module 14.
Description by above embodiment is known, and those skilled in the art can be well understood to the mode that the application can add essential general hardware platform by software and realize.Based on such understanding, the part that the application's technical scheme contributes to prior art in essence in other words can embody with the form of software product, this computer software product can be stored in storage medium, as ROM/RAM(ROM (read-only memory)/random access memory), magnetic disc, CD etc., comprise that some instructions (can be personal computers in order to make a computer equipment, server, or the network equipment etc.) carry out the method described in some part of each embodiment of the application or embodiment.
Each embodiment in this instructions all adopts the mode of going forward one by one to describe, between each embodiment identical similar part mutually referring to, what each embodiment stressed is and the difference of other embodiment.Especially,, for system embodiment, because it is substantially similar in appearance to embodiment of the method, so description is fairly simple, relevant part is referring to the part explanation of embodiment of the method.
The application can be used in numerous general or special purpose computingasystem environment or configuration.For example: personal computer, server computer, handheld device or portable set, plate equipment, multicomputer system, the system based on microprocessor, set top box, programmable consumer-elcetronics devices, network PC(PC), small-sized meter machine, mainframe computer, comprise distributed computing environment of above any system or equipment etc.
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 and carries out particular task or realize routine, program, object, assembly, data structure of particular abstract data type etc.Also can in distributed computing environment, put into practice the application, in these distributed computing environment, be executed the task by the teleprocessing equipment being connected by communication network.In distributed computing environment, program module can be arranged in the local and remote computer-readable storage medium including memory device.
Although more than described the specific embodiment of the present invention, it will be understood by those of skill in the art that these only illustrate, protection scope of the present invention is limited by appended claims.Those skilled in the art is not deviating under the prerequisite of principle of the present invention and essence, can make various changes or modifications to these embodiments, but these changes and modification all fall into protection scope of the present invention.
Claims (14)
1. a webpage operation method, is characterized in that, described webpage operation method comprises the following steps:
S1, from a webpage, extract subject content;
S2, obtain keyword that each and described subject content is associated and generates the number of clicks that comprises described keyword, a page of purchase number of times, searching times and demonstration number of times for each keyword from a database;
S3, respectively the number of clicks based on keyword in each page, buy number of times, searching times and demonstration number of times and calculate the related coefficient of the keyword of the described page;
S4, choose with the keyword of a default value equal amount as showing keyword by related coefficient order from high to low;
S5, each is comprised to described demonstration keyword page pool as the displaying contents of described webpage.
2. webpage operation method as claimed in claim 1, is characterized in that, described step S3 is:
Calculate the related coefficient of the keyword of each page by following formula,
Wherein said Rs (T, K) be described related coefficient, described Search (T, K) is described searching times, described Click (T, K) be described number of clicks, described Sale (T, K) is described purchase number of times, described Show (T, K) for showing number of times, described w
1, w
2and w
3all be more than or equal to zero, and w
1+ w
2+ w
3=1.
3. webpage operation method as claimed in claim 1, is characterized in that, described step S3 is:
Calculate the related coefficient of the keyword of each page by following formula,
Rs(T,K)=(1-i/n)×Rm+i/n×Ri(T,K)
Wherein said Rs (T, K) is described related coefficient, described Ri (T, K) be system related coefficient, described Rm is for intervening coefficient, described Search (T, K) be described searching times, described Click (T, K) is described number of clicks, described Sale (T, K) be described purchase number of times, described Show (T, K) is for showing number of times, described w
1, w
2and w
3all be more than or equal to zero, and described w
1+ w
2+ w
3=1, described n is intervention time segment length, and described i is current working time, wherein 0≤i≤n.
4. webpage operation method as claimed in claim 1, is characterized in that, after described step S5, also comprises step S6, and wherein step S6 comprises:
S61, comprise described theme in the number of clicks of a special time period and buy the one first theme page of number of times for each theme in described database generates;
S62, the respectively number of clicks based on each described first theme page and purchase number of times calculate the first related coefficient of the theme of the described first theme page;
S63, choose with the theme of one first default value equal amount and show topics as first by described the first related coefficient order from high to low;
S64, each is comprised to the displaying contents of the described first theme page pool showing topics as described webpage.
5. webpage operation method as claimed in claim 1, is characterized in that, after described step S5, also comprises step S7, and wherein step S7 comprises:
S71, extract user ID data from described webpage;
S72, from described database, extract each theme of being associated with described user ID data, and be respectively each theme and generate the number of clicks that comprises described theme and a second theme page of purchase number of times;
S73, the respectively number of clicks based on each described second theme page and purchase number of times calculate the second related coefficient of the theme of the described second theme page;
S74, choose with the theme of one second default value equal amount and show topics as second by described the second related coefficient order from high to low;
S75, each is comprised to the displaying contents of the described second theme page pool showing topics as described webpage.
6. webpage operation method as claimed in claim 1, is characterized in that, after described step S5, also comprises step S8, and wherein step S8 comprises:
S81, from described database, extract each theme of being associated with described subject content, and be respectively each theme and generate the number of clicks that comprises described theme and one the 3rd theme page of purchase number of times;
The third phase that S82, the respectively number of clicks based on each described the 3rd theme page and purchase number of times calculate the theme of described the 3rd theme page closes coefficient;
S83, close coefficient order from high to low by described third phase and choose with the theme of one the 3rd default value equal amount and show topics as the 3rd;
S84, each is comprised to the displaying contents of the described the 3rd theme page pool showing topics as described webpage.
7. webpage operation method as claimed in claim 1, is characterized in that, after described step S5, also comprises step S9, and wherein step S9 comprises:
S91, comprise described theme in the number of clicks of a sample time period and buy one the 4th theme page of number of times for each theme in described database generates;
S92, number of clicks based on described the 4th theme page and buy number of times and calculate the 4th related coefficient of described theme;
S93, extract user ID data from described webpage;
S94, from described database, extract each theme of being associated with described user ID data, and be respectively each theme and generate the number of clicks that comprises described theme and one the 5th theme page of purchase number of times;
S95, number of clicks based on described the 5th theme page and buy number of times and calculate the 5th related coefficient of described theme;
S96, from described database, extract each theme of being associated with described subject content, and be respectively each theme and generate the number of clicks that comprises described theme and one the 6th theme page of purchase number of times;
S97, number of clicks based on described the 6th theme page and buy number of times and calculate the 6th related coefficient of described theme;
S98, the coefficient of total correlation of theme described in the 4th related coefficient based on each theme in described database, the 5th related coefficient and the 6th Calculation of correlation factor respectively;
S98, choose with the theme of one the 4th default value equal amount and show topics as the 4th by described coefficient of total correlation order from high to low;
S99, each is comprised to the displaying contents of the described the 4th theme page pool showing topics as described webpage.
8. webpage operation method as claimed in claim 7, is characterized in that, described step S98 is:
Calculate the coefficient of total correlation of described theme by following formula:
Rz(T)=v
1×H(T)+v
2×P(T)+v
3×A(T,T')
Wherein said Rz (T) is the coefficient of total correlation, and described H (T) is the 4th related coefficient, and described P (T) is the 5th related coefficient, and described A (T, T ') is the 6th related coefficient, described v
1, v
2and v
3all be more than or equal to zero, and described v
1+ v
2+ v
3=1.
9. a webpage operational system, is characterized in that, described webpage operational system comprises a web page server and multiple client, and wherein said web page server comprises a database, one page face generation module, a relatedness computation module and a webpage generation module;
The webpage that described web page server obtains from described client, extract a subject content, and obtain from described database the keyword that each and described subject content is associated;
Described page generation module is that each keyword generates the number of clicks that comprises described keyword, a page of buying number of times, searching times and demonstration number of times;
Described relatedness computation module respectively the number of clicks based on keyword in each page, buy number of times, searching times and demonstration number of times and calculate the related coefficient of the keyword of the described page;
Described web page server is chosen with the keyword of a default value equal amount as showing keyword by related coefficient order from high to low;
The page pool that each is comprised described demonstration keyword by described webpage generation module is sent to described client as the displaying contents of described webpage and by the described page.
10. webpage operational system as claimed in claim 9, is characterized in that, described relatedness computation module is calculated the related coefficient of the keyword of each page by following formula,
Wherein said Rs (T, K) be described related coefficient, described Search (T, K) is described searching times, described Click (T, K) be described number of clicks, described Sale (T, K) is described purchase number of times, described Show (T, K) for showing number of times, described w
1, w
2and w
3all be more than or equal to zero, and described w
1+ w
2+ w
3=1.
11. webpage operational systems as claimed in claim 9, is characterized in that, described relatedness computation module is calculated the related coefficient of the keyword of each page by following formula,
Rs(T,K)=(1-i/n)×Rm+i/n×Ri(T,K)
Wherein said Rs (T, K) is described related coefficient, described Ri (T, K) be system related coefficient, described Rm is for intervening coefficient, described Search (T, K) be described searching times, described Click (T, K) is described number of clicks, described Sale (T, K) be described purchase number of times, described Show (T, K) is for showing number of times, described w
1, w
2and w
3all be more than or equal to zero, and described w
1+ w
2+ w
3=1, described n is intervention time segment length, and described i is current working time, wherein 0≤i≤n.
12. webpage operational systems as claimed in claim 9, it is characterized in that, the page generation module of described web page server also comprises the one first theme page of described theme at the number of clicks of a special time period and purchase number of times for each theme in described database generates;
The described relatedness computation module number of clicks based on each described first theme page and buy number of times and calculate the first related coefficient of the theme of the described first theme page respectively;
Described web page server is chosen with the theme of one first default value equal amount and is showed topics as first by described the first related coefficient order from high to low;
Described webpage generation module also comprises each the displaying contents of the described first theme page pool showing topics as described webpage.
13. webpage operational systems as claimed in claim 9, is characterized in that, the webpage that described web page server also obtains from described client extracts user ID data;
Described page generation module also extracts each theme of being associated with described user ID data from described database, and is respectively each theme and generates the number of clicks that comprises described theme and a second theme page of purchase number of times;
The described relatedness computation module number of clicks based on each described second theme page and buy number of times and calculate the second related coefficient of the theme of the described second theme page respectively;
Described web page server is chosen with the theme of one second default value equal amount and is showed topics as second by described the second related coefficient order from high to low;
Described webpage generation module also comprises each the displaying contents of the described second theme page pool showing topics as described webpage.
14. webpage operational systems as claimed in claim 9, it is characterized in that, the page generation module of described web page server also extracts each theme of being associated with described subject content from described database, and is respectively each theme and generates the number of clicks that comprises described theme and one the 3rd theme page of purchase number of times;
The described relatedness computation module respectively number of clicks based on each described the 3rd theme page is closed coefficient with the third phase that purchase number of times calculates the theme of described the 3rd theme page;
Described web page server is chosen with the theme of one the 3rd default value equal amount and is showed topics as the 3rd by described third phase pass coefficient order from high to low;
Described webpage generation module also comprises each the displaying contents of the described the 3rd theme page pool showing topics as described webpage.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310006595.7A CN103914490B (en) | 2013-01-08 | 2013-01-08 | Webpage operation method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310006595.7A CN103914490B (en) | 2013-01-08 | 2013-01-08 | Webpage operation method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103914490A true CN103914490A (en) | 2014-07-09 |
| CN103914490B CN103914490B (en) | 2018-06-12 |
Family
ID=51040181
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310006595.7A Active CN103914490B (en) | 2013-01-08 | 2013-01-08 | Webpage operation method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103914490B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105760393A (en) * | 2014-12-17 | 2016-07-13 | 纽海信息技术（上海）有限公司 | Webpage display method and system |
| CN106294596A (en) * | 2016-07-29 | 2017-01-04 | 北京小米移动软件有限公司 | The method and device of information search |
| CN106844717A (en) * | 2017-02-08 | 2017-06-13 | 北京小米移动软件有限公司 | Webpage search display methods and device |
| CN108228766A (en) * | 2017-12-27 | 2018-06-29 | 咪咕互动娱乐有限公司 | A kind of page generation method and device and storage medium |
| CN111552877A (en) * | 2020-04-29 | 2020-08-18 | 百度在线网络技术（北京）有限公司 | Data processing method and device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101178728A (en) * | 2007-11-21 | 2008-05-14 | 北京搜狗科技发展有限公司 | Web side navigation method and system |
| CN101315623A (en) * | 2007-05-29 | 2008-12-03 | 阿里巴巴集团控股有限公司 | Text subject recommending method and device |
| CN101551806A (en) * | 2008-04-03 | 2009-10-07 | 北京搜狗科技发展有限公司 | Personalized website navigation method and system |
| CN102609869A (en) * | 2012-02-03 | 2012-07-25 | 纽海信息技术（上海）有限公司 | Commodity purchasing system and method |
| US20120246016A1 (en) * | 2007-04-17 | 2012-09-27 | Google Inc. | Identifying Negative Keywords Associated with Advertisements |
-
2013
- 2013-01-08 CN CN201310006595.7A patent/CN103914490B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120246016A1 (en) * | 2007-04-17 | 2012-09-27 | Google Inc. | Identifying Negative Keywords Associated with Advertisements |
| CN101315623A (en) * | 2007-05-29 | 2008-12-03 | 阿里巴巴集团控股有限公司 | Text subject recommending method and device |
| CN101178728A (en) * | 2007-11-21 | 2008-05-14 | 北京搜狗科技发展有限公司 | Web side navigation method and system |
| CN101551806A (en) * | 2008-04-03 | 2009-10-07 | 北京搜狗科技发展有限公司 | Personalized website navigation method and system |
| CN102609869A (en) * | 2012-02-03 | 2012-07-25 | 纽海信息技术（上海）有限公司 | Commodity purchasing system and method |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105760393A (en) * | 2014-12-17 | 2016-07-13 | 纽海信息技术（上海）有限公司 | Webpage display method and system |
| CN106294596A (en) * | 2016-07-29 | 2017-01-04 | 北京小米移动软件有限公司 | The method and device of information search |
| CN106844717A (en) * | 2017-02-08 | 2017-06-13 | 北京小米移动软件有限公司 | Webpage search display methods and device |
| CN108228766A (en) * | 2017-12-27 | 2018-06-29 | 咪咕互动娱乐有限公司 | A kind of page generation method and device and storage medium |
| CN111552877A (en) * | 2020-04-29 | 2020-08-18 | 百度在线网络技术（北京）有限公司 | Data processing method and device |
| CN111552877B (en) * | 2020-04-29 | 2023-11-07 | 百度在线网络技术（北京）有限公司 | Data processing method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103914490B (en) | 2018-06-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101828185B (en) | Ranking and providing search results based in part on a number of click-through features | |
| US9286548B2 (en) | Accurate text classification through selective use of image data | |
| Teevan et al. | Potential for personalization | |
| AU2014249236B2 (en) | Automated financial data aggregation | |
| Zhou et al. | Userrec: A user recommendation framework in social tagging systems | |
| US7849081B1 (en) | Document analyzer and metadata generation and use | |
| CN100470544C (en) | Method, equipment and system for chaiming file | |
| CN104199822B (en) | It is a kind of to identify the method and system for searching for corresponding demand classification | |
| CN101930438A (en) | Search result generating method and information search system | |
| US20080243812A1 (en) | Ranking method using hyperlinks in blogs | |
| CN104462293A (en) | Search processing method and method and device for generating search result ranking model | |
| CN103914490A (en) | Webpage running method and system | |
| CN103020845A (en) | Mobile application pushing method and system | |
| CN102779136A (en) | Method and device for information search | |
| CN105095433A (en) | Recommendation method and device for entities | |
| CN105247507A (en) | Influence score of a brand | |
| CN105183727A (en) | Method and system for recommending book | |
| CN102156706A (en) | Mentor recommendation system and method | |
| CN102200975A (en) | Vertical search engine system and method using semantic analysis | |
| CN103309894B (en) | Based on search implementation method and the system of user property | |
| CN103425677A (en) | Method for determining classified models of keywords and method and device for classifying keywords | |
| US20240119047A1 (en) | Answer facts from structured content | |
| CN111654714B (en) | Information processing method, apparatus, electronic device and storage medium | |
| Sajeev et al. | Effective web personalization system based on time and semantic relatedness | |
| CN104102727A (en) | Query term recommending method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20160914 Address after: East Building 11, 100195 Beijing city Haidian District xingshikou Road No. 65 west Shan creative garden district 1-4 four layer of 1-4 layer Applicant after: Beijing Jingdong Shangke Information Technology Co., Ltd. Address before: 201203 Shanghai city Pudong New Area Zu Road No. 295 Room 102 Applicant before: Niuhai Information Technology (Shanghai) Co., Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |