CN102426570B - Method and equipment for demonstrating influencing factors in statistical chart - Google Patents
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Abstract
The invention provides a method for demonstrating influencing factors in a statistical chart. The method comprises the following steps of: recording discrete statistical values, and further, drawing the statistical chart according to the discrete statistical values; respectively recording the influencing factors influencing the discrete statistical values; and presenting the discrete statistical values and the influencing factors corresponding to the discrete statistical values to a user. Correspondingly, the invention further provides a server and a system for demonstrating the influencing factors in the statistical chart. Through presenting the statistical values integrating influencing factors to the user, the user can fast discover the influencing factors which cause variation tendency to the statistical values, and further, is assisted to judge the important influencing factors of the influencing factors, so that the time of the user is saved, the user can fast discover problems, fast determine reasons and make a response, further the efficiency for search marketing management is increased, and the user experience is improved.
Description
Technical field
The present invention relates to computer network field, relate in particular to a kind of at the method and apparatus about influence factor shown in the statistical graph of website.
Background technology
Statistical graph is according to statistical figure, with the various figures of the draftings such as geometric figure, things image and map.Statistical graph can make complicated statistical figure simplification, popularized, imagery, makes the people very clear, is convenient to understand and compare.
In present search engine marketing account system; account related data (as the amount of representing can be provided usually; click volume; the consumption amount of money; the average price etc. of clicking) situation of change in (such as past 7 days, nearest 1 month, fixed time scope etc.) in a period of time scope; usually can show statistical figure with statistical graph, to make things convenient for customer analysis relatively.In the search marketing account system that for example company of Baidu provides, can provide the historical variations trend map based on consumption and click data.When the user of system sees the historical variations trend map, can change violent time point for some and analyze (flex point that namely is commonly called as), cause this kind causes of change with understanding, and targetedly account management is adjusted, so that the search marketing effectiveness recovers normal condition.Causing the influence factor of these variations except ectocine, mainly is the historical operation that once occured for account management, so the user is when wanting to understand reason, just needs the historical operation situation in the account that inquiry once occured.And in the existing search engine marketing account system, after the user sees that in statistical graph historical trend changes, can not directly access the historical operation relevant with this variation and critical event, usually need to could understand the historical operation that occurs on each time point by loaded down with trivial details operation, and need to judge from miscellaneous historical operation which is operating as the main cause that causes variation, because most of impact for described variation is very little in the historical operation.Such deterministic process takes time and effort, and has reduced the efficient that the user pinpointed the problems, located reason and makes reply.
Summary of the invention
The object of the present invention is to provide a kind of method and apparatus that influence factor in the statistical graph is shown, influence factor directly is presented on the statistical graph, make the user can find intuitively to cause in conjunction with the historical variations trend of statistical graph the influence factor of this variation tendency.
For achieving the above object, the invention provides a kind of method that influence factor in the statistical graph is shown, the method comprises:
The statistic that record is discrete, and according to this discrete statistic drafting statistical graph;
The influence factor of the described discrete statistic of record impact respectively;
Described discrete statistic and corresponding influence factor thereof are presented to the user.Correspondingly, the invention provides a kind of server for the statistical graph influence factor is shown, this server comprises:
Numerical data base is used for the discrete statistic of record;
The factor data storehouse is used for the influence factor relevant with described discrete statistic of record respectively;
The statistical graph drafting module is used for described discrete statistic and corresponding influence factor thereof are presented to the user, and wherein the statistical graph drafting module comprises drawing unit and factor display unit, wherein:
Described drawing unit is used for drawing statistical graph according to described discrete statistic, and this statistical graph is sent to client;
Described factor display unit is used for described influence factor is offered described client.
On the other hand, the present invention also provides a kind of system for the statistical graph influence factor is shown, and this system comprises above-mentioned server and the client that is connected with this server.
Provided by the inventionly illustrate that the method and apparatus of influence factor efficiently solves the problem that occurs in the prior art in the statistical graph, directly be presented on influence factor on the statistical graph, make the user can find intuitively to cause in conjunction with the historical variations trend of statistical graph the influence factor of this variation tendency, and assisted user is judged wherein important influence factor, saved user's time, the user can be pinpointed the problems fast, locate fast reason and make reply, promote the efficient of search marketing management, promoted user's experience.
Description of drawings
By reading the detailed description that non-limiting example is done of doing with reference to the following drawings, it is more obvious that other features, objects and advantages of the present invention will become:
Fig. 1 is the process flow diagram that a kind of embodiment of the method for influence factor in the statistical graph is shown according to provided by the invention;
Fig. 2 to Fig. 4 is several preferred specific embodiment that the method for influence factor in the statistical graph is shown according to provided by the invention;
Fig. 5 is the structural representation that the structural representation of the server of influence factor in the statistical graph and system correspondingly is shown according to provided by the invention.
Same or analogous Reference numeral represents same or analogous parts in the accompanying drawing.
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing embodiments of the invention are described in detail.
At first please refer to Fig. 1, Fig. 1 is the process flow diagram that a kind of embodiment of the method for influence factor in the statistical graph is shown according to provided by the invention, and wherein the method comprises:
Step S101, the statistic that record is discrete, and according to this discrete statistic drafting statistical graph;
In present search engine marketing account system; account related data (as the amount of representing can be provided usually; click volume; the consumption amount of money; the average price etc. of clicking) situation of change in (such as past 7 days, nearest 1 month, fixed time scope etc.) in a period of time scope; usually can show statistical figure with statistical graph, to make things convenient for customer analysis relatively.(the comprising the statistical graph with discrete statistic numerical simulation continuum count value) that statistical graph is normally drawn according to discrete statistic.
In this embodiment, the invention process is in the technical field of search engine marketing account system, data analysis requirement according to search engine marketing account system, be discrete in time numerical value at statistic discrete described in the step S101, this in time discrete numerical value comprise click volume, the amount of representing in the unit interval, consume the amount of money, on average click price, clicking rate or its combination.The described unit interval generally is as the unit interval with durations such as the sky in the public calendar, week, the moon, season or years.Be recorded in the crucial numerical value (such as above-mentioned click volume and the amount of representing etc.) of the search engine marketing account system that produces in the unit interval, present to the user according to described crucial numerical generation statistical graph and perform an analysis, investigate used.Described statistical graph normally can show the statistical graph of numerical value trend trend, therefore preferably generates broken line graph, loose some statistical graph, histogram or compound broken line graph (compound broken line graph is be used to carrying out how crucial numerical value contrast).Statistical graph can make the statistical figure simplification of complexity, popularized, imagery, makes the people very clear, is convenient to understand and compare, and also is easier to be crossed the threshold or advanced user understanding.Because described discrete statistic normally is stored on the server, preferably, server can generate statistical graph and send to client according to the statistic that should disperse and check for the user, in further embodiments, server also can send to client with above-mentioned statistic, and the processing that generates statistical graph is finished by this client.In existing computer graphics was processed, statistics map generalization method had a variety of, and those skilled in the art can select any suitable statistics drawing generating method to implement the present invention, do not repeat them here.
Step S102, the respectively influence factor of the described discrete statistic of record impact;
At step S101 in the described unit interval, the influence factor that affects described discrete statistic has a lot, and these influence factors all can cause the variation of described statistic.For this embodiment that is applied in search engine marketing account system, described influence factor is usually included in Client-initiated historical operation in the described unit interval, or the important dependent event that internet search engine is added up within the described unit interval.
Wherein, described user is the user of search engine marketing account system, the promoter who namely promotes, therefore user's historical operation generally includes: the popularization budget is revised, the region modification is revised, promoted to the popularization number of times, promote period modification or its combination (the search engine marketing account system business logical schema relevant with above-mentioned historical operation all is to promote rule according to the internet in advance to customize, and makes things convenient for system user that the flow process of promoting is managed).When the user carries out above-mentioned historical operation usually by client and server interaction to send the instruction that triggers above-mentioned historical operation, server can be stored the historical operation that the user triggers in this process.
In addition, may also comprise the dependent event that some are important to the larger influence factor of described discrete statistic impact, for example there's a sudden fall in temperature can cause the sales volume of warmer to rise, or the popular meeting of regional infectious disease causes the epidemic prevention device requirement amount in the described zone to rise.Website take the popularization of search engine marketing account system user is for selling warmer as example, there's a sudden fall in temperature causes the warmer demand to increase, the frequency of the user of internet search key " warmer " on webpage also rises, and correspondingly click volume, the amount of representing of the website of described user's popularization also increase.In economic activity, above-mentioned important dependent event all is the key factors that cause that described discrete statistic changes, and therefore above-mentioned important dependent event also is judged to be described influence factor.In actual implementation process, described user can customize series of rules, in order to determine more accurately described important dependent event.
Step S103 presents to the user with described discrete statistic and corresponding influence factor thereof.
Particularly, respectively described discrete statistic and corresponding influence factor thereof are presented to the user, inform exactly the influence factor of the described discrete statistic of customer impact.Preferably, described influence factor can be illustrated on the described statistical graph.In the prior art, described influence factor is normally present in the different window or interface with described statistical graph, and between the two without the contact of computer visualization graphic relation.When the user need to understand the described influence factor relevant with certain statistic of described statistical graph, not only need in a plurality of windows and interface, switch, also must just can obtain required influence factor by artificial contrast.In this embodiment, the interface that will present described influence factor is integrated on the interface that presents described statistical graph, has at first reduced the number of times of user's query manipulation, and next has reduced the time of the artificial contrast of user.
In order to realize good man-machine figure interface alternation, the method that described influence factor is illustrated on the described statistical graph generally includes: trigger the statistical graph element of the described statistic of representative in described statistical graph, and obtain the influence factor relevant with this statistical graph element.The method of wherein said triggering comprises: cursor hovers or cursor are clicked (for using the PC user with cursor to adopt above-mentioned triggering mode), or touch screen is clicked (adopting this triggering mode for the user who uses portable touch-screen equipment).In addition, describedly obtain the influence factor relevant with this statistical graph element and also can adopt friendly computer graphical interface display, comprising: floated on the page of described statistical graph in the interface that comprises described influence factor; Ejection comprises the dialog box of described influence factor; And/or the tabulation that provides described influence factor to arrange in chronological order.
In order to further specify the effect of the embodiment shown in Fig. 1, please refer to Fig. 2 to Fig. 4, Fig. 2 to Fig. 4 is several preferred specific embodiment that the method for influence factor in the statistical graph is shown according to provided by the invention.
At first with reference to figure 2, Fig. 2 shows a compound broken line graph in the search engine marketing account system, two broken lines have been shown in this compound broken line graph, the representative amount of representing and these two statistics of click volume by the lifting trend in August 8 to August 15 (as shown in the figure respectively, the amount of representing is circular flex point broken line, and click volume is rectangle flex point broken line).This compound broken line graph is the concrete numerical generation that represents measurer body numerical value and click volume according to August 8 to August 15 of record.
On the broken line of the described amount of representing of expression, the flex point that represents numerical quantity 201 that represents August 11 has reached suddenly the peak value of whole piece broken line, and what influence factor the user can need to understand and cause this variation usually.In the present embodiment, the user uses cursor hovers on flex point 201 or clicks flex point 201(and namely operates flex point 201 these statistical graph elements), just can make to have comprised and wanted the interface 200 of historical operation to float on this compound broken line graph with the householder August 11.As shown in the figure, August 11 user main historical operation be: " 1. increase to promote 3000 yuan of budgets; 2. suspend 3 popularization plans; 3. promote the region and be adjusted into 1." after the user checks this main historical operation, can further operate according to the plan of promoting, to reach the purpose of strengthening promotion effect or saving cost.Optionally, all be provided with the link entrance after each described historical operation, then can further check the details of above-mentioned historical operation if the user activates this link entrance.Correspondingly, if the user wants to check the main historical operation of another flex point, the interface that described another flex point is operated the similar interface 200 of breathing out gets final product.Certainly, after the operation flex point 201, the mode that presents described main historical operation is not limited only to interface 200, also can be dialog box or other the suitable modes that ejects.
In actual implementation process, may have a lot of types by Client-initiated to the historical operation of search engine marketing account system, but the historical operation of some of them type is on the impact of described discrete statistic and little, therefore the just historical operation relevant with described discrete statistic that comprises in the interface 200, i.e. described main historical operation.The scope of described main historical operation can be preseted by the developer, and described main historical operation namely is that the popularization budget is revised, the region modification is revised, promoted to the popularization number of times and promotes the period and revise this several generic operations usually.
Please refer to Fig. 3, Fig. 3 shows a width of cloth histogram and the dialog box in the search engine marketing account system.Described Histogram statistics illustrates the lifting trend of consuming the amount of money (described discrete statistic) January to October, the user checks this histogram as can be known, Nogata post 302 length that represent July are the longest, the consumption amount of money that means July has reached peak value, when wanting to understand, the user have July any influence factor to cause this variation, in the present embodiment, hover over cursor 301 on the Nogata post 302 or mobile cursor 301 to click Nogata post 302(be operation statistics figure element Nogata post 302), all can trigger and eject the unsteady interface (not shown in Fig. 3) that is similar to interface 200, float on described histogram.The method of taking in the present embodiment is exhalation dialog box 303, has comprised the main historical operation in July in the dialog box 303, and it is: " 1. start four popularization plans; 2. promote the region and be adjusted into 3." in addition dialog box 303 also comprised main related news in July, i.e. aforementioned important dependent event, it is: " 1. national the greater part keeps high temperature, and citizen are to the air-conditioning rush of demand; 2. continuous high temperature is guarded against heatstroke, and the air-conditioning market sale is fiery." content that comprises in the dialog box 303 makes things convenient for the user further to customize popularization plan and and Promotion Strategy adjusted.In the present embodiment, described important dependent event can be that the user adds up gained by search engine.
In conjunction with Fig. 3 and Fig. 4 reference, the histogram among Fig. 3 can also cooperate dialog box 401 as shown in Figure 4 to check service for the user provides influence factor.The content that comprises in the dialog box 401 is relevant with described histogram, comprises historical operation tabulation and the highlight tabulation in January to 10, the user only need activate dialog box interior "
Check historical operation " or "
Check news " these link entrance, can see the detailed and highlight full text of historical operation in corresponding month.In the present embodiment, the set of described influence factor is embodied as tabulation shown in comprising in the dialog box 401, described influence factor is arranged in chronological order, can simplify user's operation, promote the user and experience.
Need to prove that in other some embodiments of the present invention, can comprising interior perhaps among the arbitrary embodiment shown in Fig. 2 to Fig. 4, they are whole, that is to say and above-described embodiment can be used in combination.
Correspondingly, the present invention also provides a kind of server for the statistical graph influence factor is shown, please refer to Fig. 5, Fig. 5 is the structural representation that the structural representation of the server of influence factor in the statistical graph and system correspondingly is shown according to provided by the invention, at first with reference to the structure of the server 500 among the figure 5, this server 500 comprises:
Statistical graph drafting module 510 is used for described discrete statistic and corresponding influence factor thereof are presented to the user, and wherein the statistical graph drafting module comprises drawing unit 511 and factor display unit 512:
In addition, Fig. 5 also shows server 500 and the system that client forms, and is used for illustrating the statistical graph influence factor.The below further describes server 500 and client.
Particularly, the discrete statistic of numerical data base 520 records comprises discrete in time numerical value, and described numerical value comprises interior click volume of unit interval, the amount of representing, consumes the amount of money, on average clicks price, clicking rate or its combination.When correspondingly above-mentioned statistic being operated, can produce correspondingly historical operation record, historical operation logging modle 531 in the factor data storehouse 530 is responsible for the above-mentioned historical operation of record, described historical operation is that the user produces by the described search engine marketing account of client operation system, and wherein main historical operation comprises that the popularization budget is revised, the region modification is revised, promoted to the popularization number of times, promotes period modification or its combination.Also comprise important news logging modle 532 in the factor data storehouse 530 in addition, be used for being recorded in the important dependent event of internet search engine statistics in the described unit interval, as shown in the figure, important news logging modle 532 is collected server or the large hotspot service device of visit capacity that server 700(such as each large portal website is provided by news) etc. the described important dependent event that provides.Need to prove that described numerical data base 520 or factor data storehouse 530 can be embodied as respectively the centralized database of separation, also can be embodied as respectively distributed data base, this size according to data volume and visit capacity determines.Statistical graph drafting module 510 links to each other with numerical data base 520, and according to the discrete statistic generation statistical graph of storage in the numerical data base 520, described statistical graph comprises broken line graph, loose some statistical graph, histogram or compound broken line graph etc.
Described client may be embodied as the software on a kind of PC of being installed in terminal 601, notebook terminal 602 or the portable terminal 603, it can accept the discrete data that server 500 sends, generating described statistical graph, or directly accept and statistical graph that display server 500 sends.In this embodiment, adopt comparatively common B/S structure to implement native system, all equipment that common web browser has been installed all can serve as described client, and server 500 sends to described client with described statistical graph in the discernible mode of browser and presents to the user.
Need the mutual so that the processing of influence factor in the statistical graph to be shown of described client and server 500, wherein the factor display unit in the statistical graph drafting module 510 512 is used for being achieved as follows function: receive the instruction that described client sends, the statistical graph element of the described statistic of representative in the described statistical graph of this instruction triggers; Factor display unit 512 is illustrated in the influence factor relevant with described statistical graph element on the described statistical graph, and this has been showed that the statistical graph of described influence factor sends to described client.Serve as described client as example with the browser that uses PC terminal 601, the statistical graph element of user in PC terminal 601 use cursors click (being described instruction) described statistical graphs, then factor display unit 512 calls in the factor data storehouse 530 influence factor of record, and be integrated in this influence factor on the described statistical graph and the browser display that sends to PC terminal 601 to the user.Certainly different according to the physical platform of client, described instruction also comprises cursor hovers or touch screen click etc.
The method that described influence factor is integrated on the described statistical graph has a lot, comprising: floated on the page of described statistical graph in the interface that comprises described influence factor; Ejection comprises the dialog box of described influence factor; And/or the tabulation that provides described influence factor to arrange in chronological order.The description of relevant portion does not repeat them here in the embodiment that the mode of its specific implementation can provide referring to figs. 2 to Fig. 4.The statistical graph of integrated described influence factor is sent to described client and checks for the user, if the user need to check other influence factor, then triggering command make factor display unit 512 again task get final product.
It is pointed out that the design needs that it should be appreciated by those skilled in the art that according to concrete, server 500 may be embodied as single server, also may be embodied as server cluster.
Implement above-mentioned embodiment, efficiently solve the problem that occurs in the prior art, in the situation that shows statistical graph, also described discrete statistic and corresponding influence factor thereof are presented to the user, make things convenient for the user to locate exactly the reason that causes the statistical graph variation tendency, especially, by being integrated in influence factor on the statistical graph and presenting to the user, make the user can find intuitively to cause in conjunction with the historical variations trend of statistical graph the influence factor of this variation tendency, and assisted user is judged wherein important influence factor, saved user's time, the user can be pinpointed the problems fast, locate fast reason and make reply, promote the efficient of search marketing management, promoted user's experience.
The method that influence factor in the statistical graph is shown provided by the invention can be with programmable logic device (PLD) in conjunction with realizing, also may be embodied as computer software, can be a kind of computer program according to embodiments of the invention for example, move this program product and make computing machine carry out the method that is used for demonstrating.Described computer program comprises computer-readable recording medium, comprises computer program logic or code section on this medium, is used for realizing the method for described generating thermodynamic diagram.Described computer-readable recording medium can be installed in the computing machine built-in medium or can be from the removable medium (for example hot-plugging technology memory device) of basic computer dismounting.Described built-in medium includes but not limited to rewritable nonvolatile memory, for example RAM, ROM, flash memory and hard disk.Described removable medium includes but not limited to: optical storage media (for example CD-ROM and DVD), magneto-optic storage media (for example MO), magnetic recording medium (for example tape or portable hard drive), have the media (for example storage card) of built-in rewritable nonvolatile memory and have the media (for example ROM box) of built-in ROM.
Above disclosed only is a kind of preferred embodiment of the present invention, certainly can not limit with this interest field of the present invention, and the equivalent variations of therefore doing according to claim of the present invention still belongs to the scope that the present invention is contained.
Claims (16)
1. method that influence factor in the statistical graph is shown is characterized in that the method comprises:
The statistic that record is discrete, and according to this discrete statistic drafting statistical graph;
The influence factor of the described discrete statistic of record impact respectively;
Respectively described discrete statistic and corresponding influence factor thereof are presented to the user, wherein, described influence factor is illustrated on the described statistical graph.
2. method according to claim 1 is characterized in that, described discrete statistic comprises:
The numerical value that disperses in time, described numerical value comprise interior click volume of unit interval, the amount of representing, consume the amount of money, on average click price, clicking rate or its combination.
3. method according to claim 1 is characterized in that, described statistical graph comprises:
Broken line graph, loose some statistical graph, histogram or compound broken line graph.
4. method according to claim 1 is characterized in that, described influence factor comprises:
Client-initiated historical operation within the described unit interval; Or
The important dependent event of internet search engine statistics within the described unit interval.
5. method according to claim 4 is characterized in that, described historical operation comprises:
The popularization budget is revised, the region modification is revised, promoted to the popularization number of times, promote period modification or its combination.
6. method according to claim 1 is characterized in that, described influence factor is illustrated on the described statistical graph comprise:
In described statistical graph, trigger the statistical graph element of the described statistic of representative, and obtain the influence factor relevant with this statistical graph element.
7. method according to claim 6 is characterized in that, the mode of described triggering comprises:
Cursor hovers, cursor are clicked or touch screen is clicked.
8. according to claim 6 or 7 described methods, it is characterized in that, describedly obtain the influence factor relevant with this statistical graph element and comprise:
Floated on the page of described statistical graph in the interface that comprises described influence factor;
Ejection comprises the dialog box of described influence factor; And/or
The tabulation that provides described influence factor to arrange in chronological order.
9. server that is used for illustrating the statistical graph influence factor is characterized in that this server comprises:
Numerical data base is used for the discrete statistic of record;
The factor data storehouse is used for the influence factor relevant with described discrete statistic of record respectively;
The statistical graph drafting module is used for described discrete statistic and corresponding influence factor thereof are presented to the user, and wherein the statistical graph drafting module comprises drawing unit and factor display unit, wherein:
Described drawing unit is used for drawing statistical graph according to described discrete statistic, and this statistical graph is sent to client;
Described factor display unit is used for the influence factor relevant with described statistical graph element is illustrated in described statistical graph, and this has been showed that the statistical graph of described influence factor sends to described client.
10. server according to claim 9 is characterized in that, the statistical graph that described drawing unit is drawn comprises:
Broken line graph, loose some statistical graph, histogram or compound broken line graph.
11. server according to claim 9 is characterized in that, the discrete statistic of described numerical data base record comprises:
The numerical value that disperses in time, described numerical value comprise interior click volume of unit interval, the amount of representing, consume the amount of money, on average click price, clicking rate or its combination.
12. server according to claim 9 is characterized in that, described factor data storehouse comprises:
The historical operation logging modle is used for Client-initiated historical operation within the described unit interval of record;
The important news logging modle is used for being recorded in the important dependent event that internet search engine is added up in the described unit interval.
13. server according to claim 12 is characterized in that, the described historical operation of described historical operation logging modle record comprises:
The popularization budget is revised, the region modification is revised, promoted to the popularization number of times, promote period modification or its combination.
14. server according to claim 9 is characterized in that, described factor display unit is achieved as follows function:
Receive the instruction that described client sends, the statistical graph element of the described statistic of representative in the described statistical graph of this instruction triggers.
15. according to claim 9 or 14 described servers, it is characterized in that described factor display unit comprises the mode that the influence factor relevant with described statistical graph element is illustrated on the described statistical graph:
Floated on the page of described statistical graph in the interface that comprises described influence factor;
Ejection comprises the dialog box of described influence factor; And/or
The tabulation that provides described influence factor to arrange in chronological order.
16. a system that is used for illustrating the statistical graph influence factor is characterized in that this system comprises any one the described server and the client that is connected with described server among the claim 9-15.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104391898A (en) * | 2014-11-13 | 2015-03-04 | 北京国双科技有限公司 | Data showing method and device |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104834655B (en) * | 2014-08-06 | 2018-05-11 | 腾讯科技（北京）有限公司 | A kind of method and apparatus for the mass parameter for showing Internet resources |
| CN104408133B (en) * | 2014-11-27 | 2018-02-23 | 北京国双科技有限公司 | The display methods and device of the thermodynamic chart in web page interlinkage region |
| CN106776607B (en) * | 2015-11-19 | 2021-01-22 | 北京国双科技有限公司 | Method and device for processing operation behaviors of search engine |
| CN105893411A (en) * | 2015-11-20 | 2016-08-24 | 乐视致新电子科技（天津）有限公司 | Statistic data processing method and apparatus |
| CN105825570A (en) * | 2016-03-03 | 2016-08-03 | 孙腾 | Network voting display method and system thereof |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1874369A (en) * | 2005-06-01 | 2006-12-06 | 安捷伦科技有限公司 | System and method for analysis of measurement data |
| CN101446979A (en) * | 2008-12-26 | 2009-06-03 | 北京科尔威视网络科技有限公司 | Method for dynamic hotspot tracking |
-
2010
- 2010-12-17 CN CN 201010594892 patent/CN102426570B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1874369A (en) * | 2005-06-01 | 2006-12-06 | 安捷伦科技有限公司 | System and method for analysis of measurement data |
| CN101446979A (en) * | 2008-12-26 | 2009-06-03 | 北京科尔威视网络科技有限公司 | Method for dynamic hotspot tracking |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104391898A (en) * | 2014-11-13 | 2015-03-04 | 北京国双科技有限公司 | Data showing method and device |
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