CN103514172A - Method for downloading words for setting search engine keywords - Google Patents
Method for downloading words for setting search engine keywords Download PDFInfo
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- CN103514172A CN103514172A CN201210204743.1A CN201210204743A CN103514172A CN 103514172 A CN103514172 A CN 103514172A CN 201210204743 A CN201210204743 A CN 201210204743A CN 103514172 A CN103514172 A CN 103514172A
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- 238000006243 chemical reaction Methods 0.000 claims abstract description 31
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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Abstract
The invention relates to a method for downloading words for setting search engine keywords. The method for downloading the words for setting the search engine keywords is characterized in that firstly, the display conversion rate of each keyword is calculated; then, the lower limiting value of a confidence interval of each display conversion rate is calculated; lastly, threshold values are set with the lower limiting values of the confidence intervals regarded as final scores. Therefore, the effect of the keywords is judged comprehensively by combining orders of a website and the display situations of the keywords in a search engine based on the mutual matching of the display conversion rates and the threshold values. The situation that large errors of the judgment of the downloading words are caused when the sample size is small can be effectively avoided. Meanwhile, by means of the combination of the method and the running of related software, the return on investment of the release of the keywords can be improved greatly on the basis that cost is controlled. Further, the workload of operating personnel is reduced, and the method can be carried out simply.
Description
Technical Field
The invention relates to a configuration of a word dropping method of a search engine, in particular to a word dropping method for setting keywords of the search engine.
Background
According to the long tail theory, expanding search engine keywords requires focusing on 80% of the long tail, rather than 20% of the heavy competition area. Therefore, for the keyword release strategy of the search engine of each company, how to scientifically manage and screen the long-tail keywords becomes a core competitive point. If the effect of the keyword can be automatically judged, and a pause operation program is carried out aiming at the keyword with lower score, the ROI (Return On Investment/Return On Investment) for keyword release can be greatly improved On the basis of controlling the cost.
Disclosure of Invention
The invention aims to solve the problems in the prior art and provide a method for setting a keyword of a search engine.
The purpose of the invention is realized by the following technical scheme:
the method for setting the keyword of the search engine comprises the following steps: step one, calculating the display conversion rate of each keyword; calculating the lower limit value of each confidence interval for displaying the conversion rate; and step three, setting a threshold value by taking the lower limit value of the confidence interval as a final score.
The method for setting the search engine keyword comprises the following steps: the display conversion rate was calculated as display conversion = conversion/display.
Further, the method for setting the keyword of the search engine comprises the following steps: the lower limit of each confidence interval showing conversion, referred to the wilson interval theory in statistics, is given by the formula:
wherein,
the distribution is a normal statistic and is obtained by looking up a table or by NORMSINV command in excel, the average value of the distribution is 0, the standard deviation is 1, p is the display conversion rate, the final next singular number of the client brought by each keyword is divided by the display times of the keywords by a specific calculation mode, n is the number of samples, and the specific calculation mode is the number of samples +1 of each display of the keywords.
Still further, the method for setting the keyword of the search engine comprises the following steps: in the third step, the set threshold value is compared and is larger than the set threshold value, the promotion operation is maintained, and the promotion operation is suspended when the set threshold value is smaller than the set threshold value.
The technical scheme of the invention has the advantages that: the keyword effect is comprehensively judged by combining the order placing of the website and the display condition of the keywords in the search engine based on the mutual matching of the display conversion rate and the threshold value. The method can effectively avoid the situation that large errors occur in the judgment of the lower word when the sample size is small. Meanwhile, the method is combined with the related software operation, so that the investment return rate of keyword release can be greatly improved on the basis of controlling the cost. And the workload of operators is reduced, and the method can be simply executed. Therefore, the space is expanded for the technical progress in the field, and the implementation effect is good.
The objects, advantages and features of the present invention will be explained by the following non-restrictive description of preferred embodiments thereof. The embodiments are merely exemplary for applying the technical solutions of the present invention, and any technical solution formed by replacing or converting the equivalent thereof falls within the scope of the present invention claimed.
Detailed Description
The method for setting the keyword of the search engine is characterized by comprising the following steps of:
first, the display conversion rate of each keyword is calculated, in other words, the proportion of each display conversion is known. Next, the lower limit of each confidence interval showing conversion was calculated. And setting a threshold value by taking the lower limit value of the confidence interval as the final score. During the period, the set threshold value is compared and is larger than the set threshold value, the popularization operation is maintained, and the popularization operation is suspended when the set threshold value is smaller than the set threshold value.
In a preferred embodiment of the present invention, the display conversion is calculated by displaying conversion = number of conversions/number of displays. And, for each lower limit value of confidence interval showing conversion, quote the wilson interval theory in statistics, the formula is:
in particular, among others, the use of,
the normal statistic is obtained by table lookup or by NORMSINV command in excel. The table lookup adopted by the invention is as follows: this value is a statistical constant, and is generally referred to in the statistical book appendix as a table. The norm command of Excel can be preferably employed: the inverse of the standard normal cumulative distribution function is returned. The mean value of the distribution was 0 and the standard deviation was 1. At the same time, the user can select the desired position,
to show the conversion rate, the specific calculation method is that each keyword brings the final next number of the client divided by the number of times the keyword is shown. And n is the number of samples, and the specific calculation mode is that the number of samples is +1 for each showing of the keyword.
Further, the reason for using the above formula is that the lower limit value of the confidence interval tends to the conversion rate itself when the sample amount is large. Meanwhile, when the sample size is small, the value is far smaller than the conversion rate, so that certain keywords with small display quantity are prevented from obtaining high scores due to occasional surge of orders. Thus, the overall accuracy is improved.
Still further, the threshold value involved in the present invention is set flexibly, not as a fixed value. According to the algorithm, each keyword has a confidence interval, the lower limit value of each keyword confidence interval is different, and under the condition that the conversion rate is not changed, the higher the threshold value is set, the fewer the keywords meeting the confidence interval are, and the fewer the number of the lower words are.
In view of the practical use condition of the invention, the threshold value is dynamically adjusted according to the demands of the bidding account, and the content of the bidding account comprises the type of the bidding account and the importance degree of the bidding account. Meanwhile, services corresponding to each bidding account are different, the bidding accounts are divided according to the types and the importance of company services, if the services are new services and the conversion rate of keywords in the whole account is generally not high, the set threshold value needs to be properly reduced so as to avoid the embarrassment that all keywords are put down because the number of orders is too small.
It can be seen from the above description that, by adopting the invention, the keyword effect is comprehensively judged by combining the order placing of the website and the display condition of the keyword in the search engine based on the mutual matching of the display conversion rate and the threshold value. The method can effectively avoid the situation that large errors occur in the judgment of the lower word when the sample size is small. Meanwhile, the method is combined with the related software operation, so that the investment return rate of keyword release can be greatly improved on the basis of controlling the cost. And the workload of operators is reduced, and the method can be simply executed.
Claims (4)
1. The method for setting the keyword of the search engine is characterized by comprising the following steps of:
step one, calculating the display conversion rate of each keyword;
calculating the lower limit value of each confidence interval for displaying the conversion rate;
and step three, setting a threshold value by taking the lower limit value of the confidence interval as a final score.
2. The method for setting the keyword of the search engine according to claim 1, wherein: the display conversion rate was calculated as display conversion = conversion/display.
3. The method for setting the keyword of the search engine according to claim 1, wherein: the lower limit of each confidence interval showing conversion, referred to the wilson interval theory in statistics, is given by the formula:
wherein,
the distribution is a normal statistic and is obtained by looking up a table or by NORMSINV command in excel, the average value of the distribution is 0, the standard deviation is 1, p is the display conversion rate, the final next singular number of the client brought by each keyword is divided by the display times of the keywords by a specific calculation mode, n is the number of samples, and the specific calculation mode is the number of samples +1 of each display of the keywords.
4. The method for setting the keyword of the search engine according to claim 1, wherein: in the third step, the set threshold value is compared and is larger than the set threshold value, the promotion operation is maintained, and the promotion operation is suspended when the set threshold value is smaller than the set threshold value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201210204743.1A CN103514172A (en) | 2012-06-20 | 2012-06-20 | Method for downloading words for setting search engine keywords |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201210204743.1A CN103514172A (en) | 2012-06-20 | 2012-06-20 | Method for downloading words for setting search engine keywords |
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| CN103514172A true CN103514172A (en) | 2014-01-15 |
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| CN201210204743.1A Pending CN103514172A (en) | 2012-06-20 | 2012-06-20 | Method for downloading words for setting search engine keywords |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107977374A (en) * | 2016-10-21 | 2018-05-01 | 北京酷我科技有限公司 | Bent storehouse optimization method and device |
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| CN102156932A (en) * | 2010-02-11 | 2011-08-17 | 阿里巴巴集团控股有限公司 | Prediction method and device for secondary purchase intention of customers |
| CN102375810A (en) * | 2010-08-04 | 2012-03-14 | 阿里巴巴集团控股有限公司 | Estimation value feedback method and server for entire account search keywords |
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- 2012-06-20 CN CN201210204743.1A patent/CN103514172A/en active Pending
Patent Citations (3)
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|---|---|---|---|---|
| CN1856788A (en) * | 2003-09-30 | 2006-11-01 | 株式会社Ipb | Similarity calculation device and similarity calculation program |
| CN102156932A (en) * | 2010-02-11 | 2011-08-17 | 阿里巴巴集团控股有限公司 | Prediction method and device for secondary purchase intention of customers |
| CN102375810A (en) * | 2010-08-04 | 2012-03-14 | 阿里巴巴集团控股有限公司 | Estimation value feedback method and server for entire account search keywords |
Non-Patent Citations (1)
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| EVAN MILLER: "How Not To Sort By Average Rating", 《HTTP://WWW.EVANMILLER.ORG/HOW-NOT-TO-SORT-BY-AVERAGE-RATING.HTML》, 6 February 2009 (2009-02-06), pages 1 - 2 * |
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| CN107977374A (en) * | 2016-10-21 | 2018-05-01 | 北京酷我科技有限公司 | Bent storehouse optimization method and device |
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Application publication date: 20140115 |