CN101122904A - Internet webpage value evaluation, balancing method - Google Patents
Internet webpage value evaluation, balancing method Download PDFInfo
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- CN101122904A CN101122904A CNA2006100320664A CN200610032066A CN101122904A CN 101122904 A CN101122904 A CN 101122904A CN A2006100320664 A CNA2006100320664 A CN A2006100320664A CN 200610032066 A CN200610032066 A CN 200610032066A CN 101122904 A CN101122904 A CN 101122904A
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Abstract
The present invention relates to value evaluation and measurement of web page source of the Internet. By providing a software environment and acting as a go-between, the present invention collects the access times to, the residence time of a same webpage, a next webpage to browse and visiting habits of internet users when they are browsing web pages. Then the present invention computes and analyzes the information to establish a democratic voting evaluation system of web page source value for latter users to refer to, allowing the actual use data of all users to participate in the evaluation.
Description
Technical field: the present invention is directed to the value assessment and the measurement of web page resources on the Internet, and guide the user to obtain information faster and betterly, mainly is to provide assessment and guiding by the browsing data of adding up the Internet user.
Background technology: the web page resources on the Internet increases apace at present, and the subject matter that we are faced when online is that data is too many, can't get access to our information of wanting and the value degree that can't judge web page resources apace.Although some Internet resources search engines such as Google (Google), Baidu are arranged now, can help us to seek information apace, but these search engines mainly are to go automatically to go to obtain data by computer program, add some objectively statistics provide certain assessment, mainly be that huge hyperlink concerns the value degree of passing judgment on webpage on the Internet by analyzing as PageRank (the webpage value degree) technology of Google (Google) company.But all these technology all only depend on the mechanization statistical computation of computing machine, but ignored the potential information of huge Internet user in the browsing information process: as visit capacity and the residence time of all users on the Internet to same webpage, these information all are the imbodies that this webpage is worth.Though the statistics rate of some webpage clicks is arranged at present, but they only limit to the inner resulting statistics in same website, not only cheating easily, and do not have comparability between the similar page of different web sites yet, the user can't see the statistics of overall notion on the whole the Internet.
Summary of the invention: a kind of like this scheme is provided for this reason, by a cover software environment, when serving as independent go-between and collecting Internet user's browsing page resource, to the access times of same webpage, rest on the time on the same resource, the webpage of next visit, Internet user's access habits.And these information are carried out the webpage value evaluation system that statistical computation builds the ballot formula of a democracy, as later user's visit reference.Allow all users' actual use data participate in assessment.Fully excavate user's browsing information process intermediate information, embodied the user and be the high praise people and the final beneficiary of information.
Content of the present invention and technical scheme are as follows:
1, brand-new interactive browser client (computing machine as shown in Figure 1 of issue, the Internet user that the interactive browser of client has been installed in representative), and set up a server end (server as shown in Figure 1 be exactly be used for build-in services end) for these interactive browser clients, server is used to receive the information that the interactive browser of client is submitted to.The use information of constantly collecting the Internet user when Internet user's interactive browser when using this interactive browser is submitted to server end with these information then under the situation that does not take client resource.Server end is put into database with these data preparations subsequently, the value degree of evaluating network page after being used for.
Working as the Internet user under this pattern when the interactive browser of use is browsed resource, opening this webpage that has been equivalent to this user capture when some webpages are browsed such as the user, because all users' of the whole world browsing information all has been submitted in the same independent database, can add up the visit capacity of same webpage like this, and this visit capacity is different from the clicking rate of the webpage that present each website counted, our this visit capacity is totally independent of each website, can also form a comprehensive criterion with effective residence time of user, can accomplish complete objective and fair.And the given clicking rate trust degree in each website oneself is not high, does not have comparability between the webpage of the same type of different web sites simultaneously.
After the user opened webpage simultaneously, interactive browser can be added up the text length of the residence time of this user on this webpage and this webpage, and our system can calculate the value degree of this webpage according to this time.We only calculate the effective time in the calculating of the residence time.Be in state of activation such as referring to interactive browser this effective time, and the user is doing some responses.This time can not be oversize or too short simultaneously, all will not calculate after exceeding certain-length.
Like this same webpage visit capacity and effective residence time in its worldwide have just been taken, by we can provide the value degree of this webpage to the analysis-by-synthesis of these two data.
Formula 1:P=α ν+β t/v
The value degree of P---some webpages
α---coefficient
Total access times of ν---some webpages
β---coefficient
T---visit effective T.T. of some webpages
Can also analyze scope, different IP in different time sections and come in the source range visit situation to a certain webpage, be which such as counting some day, some weeks webpage of greatest concern.And the variation of different time sections user's interest, just can analyze the web page access information on the sequential.
The degree of attentiveness that is subjected to that also can compare the interior web page resources of the same type of world wide.
Can also control well at interactive browser client and to browse repeatedly mala fide same webpage and resident longer effective time.
2, by advising that interactive browser client registers as best one can, register speciality and the interest of oneself.According to these interest, interactive browser can guide the user to browse to the page of oneself preferring, and user's use habit also can go on record simultaneously, and these use habits comprise: which website the user likes, likes browsing which page.Because it is identical substantially that the identical or similar user of hobby browses purpose, they have very strong reference each other.And exactly such information has been collected in our server end database the inside.Such as by analyzing all java applet persons' the custom of browsing, can obtain the website that they like best and be: www.JAVA.com, if there is the beginner of Java just can be more once with reference to the place that all java applet persons like best on the Internet.And this place is to come out by the actual operating position to all java applet persons, and confidence level that this has just guaranteed these data has shortened the time that the beginner seeks resource.Analysis by these data can also obtain some webpages or the whole website value degree in this specialty or interest worlds.
Simultaneously can also be according to a certain user's access habits, the homoplasy in whole same interest hobby customer group gives a mark to this user's access habits.That is to say if user's first speciality hobby all is Java, the website that he likes best is www.JAVA.com, and www.JAVA.com arranges the front more in the website that the fan of all Java often goes, think that so the access habits of user's first has high more reference value in the Java field.Other of user's first often browses web sites and can be subjected to more recommendation in the Java customer group simultaneously, and just the access habits of user's first can obtain higher score value in weight is judged.
Next webpage during 3, by the some webpages of statistic of user accessing can obtain two actual association degree between webpage.Such as need may find during as the user at visit A webpage with reference to B webpage once this time user just jump to the B webpage very naturally, like this can think between A, B webpage certain association is arranged.This association is that the user gives out in actual use, the guide relation that is different from simple hyperlink on the present webpage, that is that indivedual webpage design personnel's subjectivities give out, can't represent the selection of user on the whole the Internet, have only the user to use these hyperlink, could illustrate that these hyperlink are effectively actual.Because the selection on the whole the Internet in the actual use of user surpasses indivedual webpage design personnel's selection certainly.
The present invention helps the user to obtain the information of oneself wanting by can objectively and impartially provide the value of webpage to the statistical study of user browse data faster and betterly.
Specific embodiments: as shown in Figure 1, computing machine 1 on the figure, computing machine 2, computing machine 3, computing machine 4 represent that all are equipped with the computer of the interactive browser of client on the Internet, when the user when using these browser browsing pages, interactive browser constantly sends to server with user's browsing data.The software of communicating by letter with the interactive browser of client is installed above the server, is used for acquisition of information.And constantly these information are saved in the database.These data by preserving in the analytical database can provide an assessment like this.
Claims (11)
1. an internet webpage is worth and assessment, the balancing method of the degree of correlation, it is characterized in that: number of times, time when browsing same webpage by the statistics Internet user are formed the system that an evaluating network page is worth, digging user uses the useful information in the Internet process, sets up the webpage value evaluation system of the ballot formula of a democracy.
2. internet webpage according to claim 1 assessment, balancing method is characterized in that: the information when setting up service end software of communicating by letter with client browser and database and being used for statistics collection Internet user browsing page.
3. according to claim 1 and the assessment of 2 described internet webpages, balancing method, it is characterized in that: set up an interactive client browser, communicate with the service end in the claim 2, can submit the useful information of Internet user's browsing page to, set up getting in touch between interactive client browser and server.
4. according to the assessment of the described internet webpage of claim 1-3, balancing method, it is characterized in that: effective time, the text length of web page contents and their ratio when collecting Internet user's browsing page, assess the value of webpage.
5. according to the assessment of the described internet webpage of claim 1-4, balancing method, it is characterized in that: collect the number of times that all Internet users browse same webpage, and and claim 4 in the residence time constitute the webpage appraisal procedure of a complementation.
6. according to the described internet webpage assessment of claim 1-4, balancing method, it is characterized in that: add up the number of visits of same webpage, provide the value degree weighing result on the webpage sequential in different time sections.
7. internet webpage assessment according to claim 3, balancing method is characterized in that: statistics Internet user's next webpage whereabouts is set up the degree of association of the ballot formula of the Internet user's participation between the webpage.
8. according to claim 1 and the assessment of 3 described internet webpages, balancing method, it is characterized in that: it is to advise that they register oneself speciality and interest that the Internet user uses interactive client browser, statistics has identical speciality and interest Internet user's the custom of browsing then, proposes to browse suggestion for other Internet users.
9. according to claim 1,3 and 8 described internet webpage assessments, balancing method, it is characterized in that: when browsing when custom of browsing that custom is tended to identical speciality in whole the Internet and interest customer group more of the registered user who comes out, this user has higher reference value and influence power in the custom of browsing of this area.
10. internet webpage assessment according to claim 9, balancing method, it is characterized in that: interactive client browser can guide the Internet user to obtain information more valuable, that more need apace well, and new Internet user also can browse other old Internet users' access habits, also study.
11. internet webpage according to claim 8 assessment, balancing method is characterized in that: browse custom, speciality and interest by the record Internet user are assessed whole website or the some webpages value degree in this specialty, interest worlds.
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CNA2006100320664A CN101122904A (en) | 2006-08-08 | 2006-08-08 | Internet webpage value evaluation, balancing method |
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Cited By (12)
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CN102541946A (en) * | 2010-12-31 | 2012-07-04 | 百度在线网络技术(北京)有限公司 | Method and equipment for determining recommendation degree of hyperlink based on recommendation attribute of hyperlink |
CN102609511A (en) * | 2012-02-06 | 2012-07-25 | 奇智软件(北京)有限公司 | Navigation page data processing method and navigation page data processing device |
CN101937439B (en) * | 2009-06-30 | 2013-02-20 | 国际商业机器公司 | Method and system for collecting user access related information |
CN103365902A (en) * | 2012-03-31 | 2013-10-23 | 北大方正集团有限公司 | Method and device for evaluating Internet News |
CN104090908A (en) * | 2014-06-06 | 2014-10-08 | 微梦创科网络科技(中国)有限公司 | Method and device for counting mean detention time in page group and generalizing content in website |
CN104111970A (en) * | 2014-06-06 | 2014-10-22 | 微梦创科网络科技(中国)有限公司 | Method and device for counting page average residence time and method and device for determining page user viscosity |
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CN107357795A (en) * | 2016-05-10 | 2017-11-17 | 北京国双科技有限公司 | The monitoring method and device of the degree of association between website |
CN108062679A (en) * | 2016-11-08 | 2018-05-22 | 北京国双科技有限公司 | Determine the method and device of user's value |
CN108153773A (en) * | 2016-12-05 | 2018-06-12 | 天脉聚源(北京)科技有限公司 | A kind of method and system for counting wechat web browsing data |
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CN101937439B (en) * | 2009-06-30 | 2013-02-20 | 国际商业机器公司 | Method and system for collecting user access related information |
CN102541946A (en) * | 2010-12-31 | 2012-07-04 | 百度在线网络技术(北京)有限公司 | Method and equipment for determining recommendation degree of hyperlink based on recommendation attribute of hyperlink |
CN102609511A (en) * | 2012-02-06 | 2012-07-25 | 奇智软件(北京)有限公司 | Navigation page data processing method and navigation page data processing device |
CN102609511B (en) * | 2012-02-06 | 2017-07-04 | 北京奇虎科技有限公司 | Navigation page data processing method and processing device |
CN103365902A (en) * | 2012-03-31 | 2013-10-23 | 北大方正集团有限公司 | Method and device for evaluating Internet News |
CN104090908B (en) * | 2014-06-06 | 2017-11-03 | 微梦创科网络科技(中国)有限公司 | Count mean residence time, the method and apparatus of web site contents popularization of page group |
CN104090908A (en) * | 2014-06-06 | 2014-10-08 | 微梦创科网络科技(中国)有限公司 | Method and device for counting mean detention time in page group and generalizing content in website |
CN104111970A (en) * | 2014-06-06 | 2014-10-22 | 微梦创科网络科技(中国)有限公司 | Method and device for counting page average residence time and method and device for determining page user viscosity |
CN104111970B (en) * | 2014-06-06 | 2017-09-12 | 微梦创科网络科技(中国)有限公司 | Count page mean residence time, the method and apparatus for determining Page user stickiness |
CN107209910A (en) * | 2015-03-26 | 2017-09-26 | 西村慎司 | Tripartite's the Internet auctions |
CN107357795A (en) * | 2016-05-10 | 2017-11-17 | 北京国双科技有限公司 | The monitoring method and device of the degree of association between website |
CN107357795B (en) * | 2016-05-10 | 2020-03-03 | 北京国双科技有限公司 | Method and device for monitoring association degree between websites |
CN108062679A (en) * | 2016-11-08 | 2018-05-22 | 北京国双科技有限公司 | Determine the method and device of user's value |
CN108153773A (en) * | 2016-12-05 | 2018-06-12 | 天脉聚源(北京)科技有限公司 | A kind of method and system for counting wechat web browsing data |
CN109872181A (en) * | 2019-01-08 | 2019-06-11 | 博拉网络股份有限公司 | A kind of business information processing method, device and storage medium |
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CN110209883A (en) * | 2019-06-06 | 2019-09-06 | 王慧斌 | A kind of method and device of user's history data validity judgement |
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Application publication date: 20080213 |