CN113435193A - Landing page keyword releasing method and device and computer equipment - Google Patents
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Abstract
The invention relates to a landing page keyword releasing method and device and computer equipment. The method comprises the following steps: s1, acquiring the text content of the landing page, and segmenting the text content to obtain segmented words; s2, counting the repetition times of each participle word, and obtaining the statistical score of each participle word according to the repetition times; s3, judging whether each participle word is in a preset industry word bank or not, if so, setting a forward weighted score for the participle word, wherein the preset industry word bank comprises a plurality of industry professional words; s4, obtaining the total score of each participle word according to the statistical score and the forward weighted score, and sequencing all participle words according to the total score; and S5, selecting the word segmentation words with the preset number and the top rank as the keywords of the landing page to be released. The method and the device consider the influence of industrial professional vocabularies on the selection of the landing page keywords, improve the rationality of putting the keywords in the landing page in the professional field of the professional vocabularies, and improve the popularization effect.
Description
Technical Field
The invention relates to the field of landing page delivery, in particular to a landing page keyword delivery method and device and computer equipment.
Background
In the field of Internet popularization, how to enable a user to quickly and accurately search popularization information is important, and selection of land page keywords has important significance for improving search hit rate. The existing popularization algorithm does not classify the industry field and professional vocabularies, such as the field of electronic devices, and each electronic element or electronic product has a corresponding specific industry keyword. Because the influence of professional vocabularies in the professional field on the search is not considered in the conventional popularization algorithm, the put-in keywords of the landing page in the professional field containing the professional vocabularies are unreasonable, and the popularization effect is influenced.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a landing page keyword releasing method, device and computer equipment, aiming at the above defects of the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: a landing page keyword releasing method is constructed, and comprises the following steps:
s1, acquiring the text content of the landing page, and segmenting the text content to obtain segmented words;
s2, counting the repetition times of each participle word, and obtaining the statistical score of each participle word according to the repetition times;
s3, judging whether each participle word is in a preset industry word bank or not, if so, setting a forward weighted score for the participle word, wherein the preset industry word bank comprises a plurality of industry professional words;
s4, obtaining the total score of each participle word according to the statistical score and the forward weighted score, and sequencing all the participle words according to the total score;
s5, selecting the word segmentation words with the preset number and the top rank as the keywords of the landing page to be released.
Further, in the method for delivering keywords to a landing page according to the present invention, after the step S3 and before the step S4, the method further includes: s31, judging whether each participle word is in a preset conventional high-frequency word bank or not, if so, setting a negative weighted score for the participle word, wherein the preset conventional high-frequency word bank comprises a plurality of common high-frequency non-professional words, and the negative weighted score is a negative value;
the step S4 includes: s41, obtaining the total score of each participle word according to the statistical score, the positive weighted score and the negative weighted score, and sequencing all the participle words according to the total score.
Further, in the method for delivering keywords to a landing page according to the present invention, the step S5 includes:
s511, selecting a preset number of word segmentation vocabularies ranked at the top;
s512, judging whether the selected word segmentation vocabulary is the same-level vocabulary;
and S513, if so, selecting a common upper-level vocabulary of all the participle vocabularies as the landing page keywords for releasing.
Further, in the method for delivering keywords to a landing page according to the present invention, the step S5 includes:
s521, selecting a preset number of word segmentation vocabularies ranked at the top;
s522, obtaining the superior vocabularies of the word segmentation vocabularies, and putting the superior vocabularies serving as the landing page keywords.
Further, in the landing page keyword release method of the present invention, step S522 includes: and acquiring a last-level vocabulary of the word segmentation vocabulary, and putting the last-level vocabulary as a landing page keyword.
Further, in the method for delivering keywords to a landing page according to the present invention, the step S5 includes:
s531, selecting a preset number of word segmentation vocabularies ranked at the top, wherein the word segmentation vocabularies correspond to first product names of the landing pages;
s532, selecting a second product name containing the word segmentation vocabulary, and adding content corresponding to the second product name to the landing page;
and S533, putting the second product name as a landing page keyword.
Further, in the landing page keyword releasing method of the present invention, step S533 includes: monitoring the sales data of the second product name, and putting the second product name as a landing page keyword when the second product name corresponds to a product out of stock.
Further, in the method for delivering keywords to a landing page according to the present invention, the step S5 includes: and selecting the word segmentation vocabulary with the first ranking as the landing page keywords for putting.
In addition, the invention also provides a landing page keyword releasing device, which comprises:
the word segmentation unit is used for acquiring the text content of the landing page and segmenting words of the text content to obtain word segmentation words;
the first scoring unit is used for counting the repetition times of each participle word and obtaining the statistical score of each participle word according to the repetition times;
the second scoring unit is used for judging whether each participle word is in a preset industry word bank or not, if so, setting a forward weighted score for the participle word, wherein the preset industry word bank comprises a plurality of industry professional words;
the third scoring unit is used for obtaining the total score of each participle word according to the statistical score and the forward weighted score, and sequencing all the participle words according to the total score;
and the keyword releasing unit is used for selecting the word segmentation vocabularies with the preset number and the top rank as the keywords of the landing page to release.
In addition, the present invention also provides a computer apparatus comprising a memory for storing a computer program and a processor;
the processor is configured to execute the computer program stored in the memory to implement the landing page keyword delivery method.
The landing page keyword releasing method, the landing page keyword releasing device and the computer equipment have the following beneficial effects that: the method and the device consider the influence of industrial professional vocabularies on the selection of the landing page keywords, improve the rationality of putting the keywords in the landing page in the professional field of the professional vocabularies, and improve the popularization effect.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
fig. 1 is a flowchart of a method for delivering keywords to a landing page according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for delivering keywords to a landing page according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a landing page keyword releasing device according to an embodiment of the present invention.
Detailed Description
For a more clear understanding of the technical features, objects and effects of the present invention, embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
In a preferred embodiment, referring to fig. 1, the landing page keyword releasing method of this embodiment is applied to a computer device, where the computer device includes but is not limited to a personal computer terminal, a server, a cloud server, and the like. In internet marketing, a guide page is a web page displayed to a potential user after clicking an advertisement or searching by using a search engine, generally, the page displays extended content related to the clicked advertisement or search result link, and the page should be optimized by the search engine aiming at a certain keyword (or phrase). Specifically, the landing page keyword release comprises the following steps:
and S1, acquiring the text content of the landing page, and segmenting the text content to obtain segmented words. Specifically, the landing page generally consists of contents such as characters, pictures, videos and the like, and after the character contents of the landing page are obtained, the character contents are segmented by using a word segmentation method such as natural language analysis and an industry professional lexicon to obtain segmented words. It can be understood that a plurality of participle vocabularies are obtained after participle of one landing page.
And S2, counting the repetition times of each participle word, and obtaining the statistical score of each participle word according to the repetition times. Specifically, after word segmentation is carried out on the text content to obtain word segmentation words, the repetition frequency of each word segmentation word is counted, the statistical score of each word segmentation word is obtained according to the repetition frequency, and the statistical score is in direct proportion to the repetition frequency. Alternatively, the statistical score is equal to the number of repetitions, i.e., one score per repetition. For example, if a word of a certain word segmentation occurs 1 time, 1 score is recorded; if a word of a certain word is converged 5 times, 5 points are recorded.
And S3, judging whether each participle word is in a preset industry word bank, if so, setting a forward weighted score for the participle word, wherein the preset industry word bank comprises a plurality of industry professional words. Specifically, in order to distinguish common participle vocabularies from industry professional vocabularies and improve the importance degree of the industry professional vocabularies in the landing page, a preset industry lexicon needs to be set, and the preset industry lexicon comprises a plurality of industry professional vocabularies. Judging whether each word segmentation vocabulary is in a preset industry vocabulary bank or not, and if the word segmentation vocabulary is in the preset industry vocabulary bank, setting a forward weighted score for the word segmentation vocabulary; and if the word segmentation vocabulary is not in the preset industry lexicon, the word segmentation vocabulary does not set a forward weighted score, wherein the forward weighted score is a weighted score larger than zero. Optionally, a corresponding forward weighted score is set according to the importance degree of each industry professional vocabulary in the preset industry lexicon, namely the importance degree of the industry professional vocabulary is in direct proportion to the forward weighted score, and the more important the industry professional vocabulary is, the larger the corresponding forward weighted score is. It is understood that the steps S2 and S3 of the present embodiment may reverse the execution order.
And S4, obtaining the total score of each participle word according to the statistical score and the forward weighted score, and sequencing all participle words according to the total score. Specifically, after the statistical score and the forward score of each participle word are obtained, the total score of each participle word is obtained according to the statistical score and the forward weighted score, and all participle words are sequenced according to the total score, namely all participle words are sequenced from high to low according to the total score. Alternatively, the total score of each participle word is obtained by the sum of the statistical score and the forward weighted score.
And S5, selecting the word segmentation words with the preset number and the top rank as the keywords of the landing page to be released. Specifically, the total score includes the occurrence frequency of the word segmentation vocabulary, and the occurrence frequency is positively correlated with the total score; whether the word segmentation vocabulary is an industry professional vocabulary or not is also included, and the industry professional vocabulary is positively correlated with the total score. The total score can reflect the relevance of the participle words and the landing page content, so that the participle words with the preset number ranked at the top are selected as the landing page keywords to be released, and the main content of the landing page can be reflected certainly. Alternatively, the preset number may be set according to a delivery requirement, for example, a first ranked participle word is selected as a landing page keyword for delivery.
Taking a landing page as an example, the landing page is an article for describing an Amphenol Sensors (Anfeinuo)/Telairire air quality sensor type selection guide, in the article, a participle vocabulary "Amphenol Sensors" appears 5 times, the statistical score is 5 points, and meanwhile, the participle vocabulary "Amphenol Sensors" is the manufacturer name of the electronic industry and is in a preset industry lexicon, so that the forward weighted score is 50 points; the total score was 55 points. The occurrence frequency of the word segmentation vocabulary 'Telaire' is 10 times, the statistical score is 10 points, and meanwhile, the word segmentation vocabulary 'Telaire' is a series of products of a certain electronic factory and is in a preset industry word stock, so that the forward weighted score is 100 points, and the total score is 110 points. The word segmentation vocabulary "leads" appears 20 times, the statistical score is 20 points, but the word segmentation vocabulary "leads" is not in the preset industry word bank, namely non-electronic industry words, so that the weighting is not carried out, and the statistical score is 20 points. Sequencing all the participle words according to the total score as follows: "Amphenol Sensors", "Telaire" and "lead", if the participle vocabulary with the first rank is selected as the landing page keyword to be released, then "Amphenol Sensors" is selected as the landing page keyword to be released.
The influence of industry professional vocabularies on the selected landing page keywords is considered in the embodiment, so that the rationality of the released keywords of the landing pages in the professional vocabularies is improved, and the popularization effect is improved.
In a preferred embodiment, referring to fig. 2, the landing page keyword releasing method of the embodiment is applied to a computer device, where the computer device includes but is not limited to a personal computer terminal, a server, a cloud server, and the like. In internet marketing, a guide page is a web page displayed to a potential user after clicking an advertisement or searching by using a search engine, generally, the page displays extended content related to the clicked advertisement or search result link, and the page should be optimized by the search engine aiming at a certain keyword (or phrase). Specifically, the landing page keyword release comprises the following steps:
and S1, acquiring the text content of the landing page, and segmenting the text content to obtain segmented words. Specifically, the landing page generally consists of contents such as characters, pictures, videos and the like, and after the character contents of the landing page are obtained, the character contents are segmented by using a word segmentation method such as natural language analysis and an industry professional lexicon to obtain segmented words.
And S2, counting the repetition times of each participle word, and obtaining the statistical score of each participle word according to the repetition times. Specifically, after word segmentation is carried out on the text content to obtain word segmentation words, the repetition frequency of each word segmentation word is counted, the statistical score of each word segmentation word is obtained according to the repetition frequency, and the statistical score is in direct proportion to the repetition frequency. Alternatively, the statistical score and the number of repetitions are equal. For example, if a word of a certain word segmentation occurs 1 time, 1 score is recorded; if a word of a certain word is converged 5 times, 5 points are recorded.
And S3, judging whether each participle word is in a preset industry word bank, if so, setting a forward weighted score for the participle word, wherein the preset industry word bank comprises a plurality of industry professional words. Specifically, in order to distinguish common participle vocabularies from industry professional vocabularies and improve the importance degree of the industry professional vocabularies in the landing page, a preset industry lexicon needs to be set, and the preset industry lexicon comprises a plurality of industry professional vocabularies. Judging whether each word segmentation vocabulary is in a preset industry vocabulary bank or not, and if the word segmentation vocabulary is in the preset industry vocabulary bank, setting a forward weighted score for the word segmentation vocabulary; and if the word segmentation vocabulary is not in the preset industry word bank, the word segmentation vocabulary is not provided with the forward weighted score. Optionally, a corresponding forward weighted score is set according to the importance degree of each industry professional vocabulary in the preset industry lexicon, namely the importance degree of the industry professional vocabulary is in direct proportion to the forward weighted score, and the more important the industry professional vocabulary is, the larger the corresponding forward weighted score is.
S31, judging whether each participle word is in a preset conventional high-frequency word bank or not, if so, setting a negative weighted score for the participle word, wherein the preset conventional high-frequency word bank comprises a plurality of common high-frequency non-professional words, and the negative weighted score is a negative value. Specifically, in order to distinguish common participle vocabularies from industry professional vocabularies, improve the importance degree of the industry professional vocabularies in the landing page, and reduce the influence of common high-frequency vocabularies, a preset industry lexicon and a preset conventional high-frequency lexicon need to be set, wherein the preset industry lexicon comprises a plurality of industry professional vocabularies, and the preset conventional high-frequency lexicon comprises a plurality of common high-frequency non-professional vocabularies, namely conventional vocabularies such as you, me, he, how, and so on. And judging whether each participle word is in a preset conventional high-frequency word bank or not, if the participle word is in the preset conventional high-frequency word bank, setting a negative weighted score for the participle word, wherein the negative weighted score is a negative value. By setting the negative weighted score, the influence of non-industrial professional vocabularies on the main content of the landing page can be reduced, and the selected landing page keywords can represent the main content of the landing page better. It is understood that the steps S2, S3, and S31 of the present embodiment may reverse the execution order.
And S41, obtaining the total score of each participle word according to the statistical score, the positive weighted score and the negative weighted score, and sequencing all participle words according to the total score. Specifically, after the statistical score, the positive score and the negative weighted score of each participle word are obtained, the total score of each participle word is obtained according to the statistical score, the positive weighted score and the negative weighted score, and all the participle words are sequenced according to the total score, namely all the participle words are sequenced from high to low according to the total score. Alternatively, the total score of each participle word is obtained by the sum of the statistical score, the positive score and the negative weighted score.
And S5, selecting the word segmentation words with the preset number and the top rank as the keywords of the landing page to be released. Specifically, the total score includes the occurrence frequency of the word segmentation vocabulary, and the occurrence frequency is positively correlated with the total score; whether the word segmentation vocabulary is an industry professional vocabulary or not is also included, and the industry professional vocabulary is positively correlated with the total score. The total score can reflect the relevance of the participle words and the landing page content, so that the participle words with the preset number ranked at the top are selected as the landing page keywords to be released. Alternatively, the preset number may be set according to a delivery requirement, for example, a first ranked participle word is selected as a landing page keyword for delivery.
The method and the device not only improve the influence of the industry professional vocabularies on the selection of the landing page keywords, but also reduce the influence of the conventional vocabularies on the selection of the landing page keywords, so that the selected release keywords can reflect the main content of the landing page, and the popularization effect is improved.
In the landing page keyword release method of some embodiments, step S5 includes:
and S511, selecting a preset number of word segmentation vocabularies ranked at the top, wherein the preset number can be set as required.
S512, judging whether the selected word segmentation vocabulary is the same level vocabulary. By the term "same level of meaning or content or product" is meant that the meaning or content or product is the same level, e.g. CO2The sensor, the temperature sensor, the humidity sensor and the particle sensor are all used for detecting the air quality, so the CO sensor2The sensors, the temperature sensor, the humidity sensor and the particle sensor are in the same level vocabulary, and the air quality sensor is CO2The sensor, the temperature sensor, the humidity sensor and the particle sensor are the common superior words. In the embodiment, a plurality of vocabulary levels are preset, and the vocabulary in each vocabulary level is the same level vocabulary.
S513, if the selected word segmentation words are the same-level words, common upper-level words of all the word segmentation words are selectedThe remittance is used as a landing page keyword for putting. Specifically, if the participle words selected by one landing page are the words in the same level, the content related to the landing page is more, if a plurality of words in the same level are used as the landing page keywords, the words are not reasonable and can not represent the main content of the landing page, and at the moment, the common superior words of all the participle words are used as the landing page keywords to be released, so that the main content of the landing page can be more accurately represented. For example CO2The sensor, the temperature sensor, the humidity sensor and the particle sensor are words of the same level, and the air quality sensor is CO2If the common upper vocabulary of the sensor, the temperature sensor, the humidity sensor and the particle sensor is selected as CO after one landing page is sequenced2The system comprises a sensor, a temperature sensor, a humidity sensor and a particle sensor, wherein the air quality sensor is selected as a landing page keyword to be put in.
In the embodiment, when the selected word segmentation words are ranked in the same level, common higher-level words of all the word segmentation words are selected as the landing page keywords to be released, so that the selected landing page keywords can reflect the main content of the landing page better, and the popularization effect is improved.
In the landing page keyword release method of some embodiments, step S5 includes:
s521, selecting a preset number of word segmentation vocabularies ranked at the top, wherein the preset number can be set as required.
S522, acquiring the upper-level vocabulary of the participle vocabulary, and putting the upper-level vocabulary as the landing page keywords. Specifically, some users may use the upper concept to search during the search, that is, the upper vocabulary is used for the search, and at this time, if the landing page only selects the participle vocabulary contained in the landing page as the landing page keyword to be released, the landing page is obviously not searched by the users. In order to facilitate searching of a user, the superior vocabularies of the participles are obtained and are used as the landing page keywords to be released. For example, if the upper vocabulary of the particle sensor is the air sensor and the upper vocabulary of the air sensor is the sensor, the air sensor or the sensor can be selected and used as the landing page keyword for delivery when the participle vocabulary is acquired as the particle sensor. And optionally, acquiring a previous-level vocabulary of the word segmentation vocabulary, and putting the previous-level vocabulary as the landing page keywords.
In the embodiment, after the word segmentation vocabularies are selected in sequence, the higher-level vocabularies for acquiring the word segmentation vocabularies are selected, and the higher-level vocabularies are used as the landing page keywords to be released, so that the user can search conveniently, and the popularization effect is improved.
In the landing page keyword release method of some embodiments, step S5 includes:
s531, selecting a preset number of word segmentation vocabularies ranked at the top, wherein the word segmentation vocabularies correspond to the first product name of the landing page, namely, the first product name is the product name of the product described by the landing page sorting and selecting keyword. Particularly, if the word segmentation vocabulary with the preset number and the top rank comprise the product name, the product name is used as the first product name.
S532, selecting a second product name containing word segmentation words, and adding content corresponding to the second product name to the landing page. Specifically, a second product name containing word-segmentation words is selected, and because the content corresponding to the product of the second product name is not contained in the landing page, the content corresponding to the second product name needs to be added to the landing page, so that the modified landing page contains the product content corresponding to the first product name and the second product name at the same time.
And S533, putting the second product name as a landing page keyword. Specifically, after the second product name is used as the landing page keyword for delivery, if the user searches for the second product name, the modified landing page including the product content corresponding to the first product name and the second product name appears. Therefore, the effect that the first product name appears when the user searches the second product name is achieved, and the first product name is popularized. Optionally, in order to avoid that the release quality of the first product name is affected after the second product name is released, the sales data of the second product name needs to be monitored, and the second product name is released as a landing page keyword when the second product name corresponds to a product out of stock, so that the user can draw the first product name when searching for the second product name.
In the embodiment, the names of the similar products are used as the landing page keywords of the landing page, so that the similar products can be guided to the products needing to be promoted on the landing page, and the promotion effect is improved.
In a preferred embodiment, referring to fig. 3, the landing page keyword releasing apparatus of this embodiment is applied to a computer device, where the computer device includes but is not limited to a personal computer terminal, a server, a cloud server, and the like. In internet marketing, a guide page is a web page displayed to a potential user after clicking an advertisement or searching by using a search engine, generally, the page displays extended content related to the clicked advertisement or search result link, and the page should be optimized by the search engine aiming at a certain keyword (or phrase). Specifically, the landing page keyword release comprises the following steps:
and the word segmentation unit is used for acquiring the text content of the landing page and segmenting words of the text content to obtain word segmentation words. Specifically, the landing page generally consists of contents such as characters, pictures, videos and the like, and after the character contents of the landing page are obtained, word segmentation devices such as natural language analysis and industry professional lexicons are used for segmenting the character contents to obtain word segmentation words.
And the first scoring unit is used for counting the repetition times of each participle word and obtaining the statistical score of each participle word according to the repetition times. Specifically, after word segmentation is carried out on the text content to obtain word segmentation words, the repetition frequency of each word segmentation word is counted, the statistical score of each word segmentation word is obtained according to the repetition frequency, and the statistical score is in direct proportion to the repetition frequency. Alternatively, the statistical score and the number of repetitions are equal. For example, if a word of a certain word segmentation occurs 1 time, 1 score is recorded; if a word of a certain word is converged 5 times, 5 points are recorded.
And the second scoring unit is used for judging whether each participle word is in a preset industry word bank or not, and if so, setting a forward weighted score for the participle word, wherein the preset industry word bank comprises a plurality of industry professional words. Specifically, in order to distinguish common participle vocabularies from industry professional vocabularies and improve the importance degree of the industry professional vocabularies in the landing page, a preset industry lexicon needs to be set, and the preset industry lexicon comprises a plurality of industry professional vocabularies. Judging whether each word segmentation vocabulary is in a preset industry vocabulary bank or not, and if the word segmentation vocabulary is in the preset industry vocabulary bank, setting a forward weighted score for the word segmentation vocabulary; and if the word segmentation vocabulary is not in the preset industry word bank, the word segmentation vocabulary is not provided with the forward weighted score. Optionally, a corresponding forward weighted score is set according to the importance degree of each industry professional vocabulary in the preset industry lexicon, namely the importance degree of the industry professional vocabulary is in direct proportion to the forward weighted score, and the more important the industry professional vocabulary is, the larger the corresponding forward weighted score is. It is understood that the steps S2 and S3 of the present embodiment may reverse the execution order.
And the third scoring unit is used for obtaining the total score of each participle word according to the statistical score and the forward weighted score, and sequencing all the participle words according to the total score. Specifically, after the statistical score and the forward score of each participle word are obtained, the total score of each participle word is obtained according to the statistical score and the forward weighted score, and all participle words are sequenced according to the total score, namely all participle words are sequenced from high to low according to the total score. Alternatively, the total score of each participle word is obtained by the sum of the statistical score and the forward weighted score.
And the keyword releasing unit is used for selecting the word segmentation vocabularies with the preset number and the top rank as the keywords of the landing page to release. Specifically, the total score includes the occurrence frequency of the word segmentation vocabulary, and the occurrence frequency is positively correlated with the total score; whether the word segmentation vocabulary is an industry professional vocabulary or not is also included, and the industry professional vocabulary is positively correlated with the total score. The total score can reflect the relevance of the participle words and the landing page content, so that the participle words with the preset number ranked at the top are selected as the landing page keywords to be released. Alternatively, the preset number may be set according to a delivery requirement, for example, a first ranked participle word is selected as a landing page keyword for delivery.
The influence of industry professional vocabularies on the selected landing page keywords is considered in the embodiment, so that the rationality of the released keywords of the landing pages in the professional vocabularies is improved, and the popularization effect is improved.
In a preferred embodiment, the computer device of the present embodiment includes a memory for storing a computer program and a processor; the processor is used for executing the computer program stored in the memory to realize the landing page keyword releasing method of the embodiment. The influence of industry professional vocabulary on selecting the page keywords falls to the ground is considered by the computer equipment of the embodiment, the rationality of putting the keywords on the page which contains the professional vocabulary professional field falls to the ground is improved, and the popularization effect is improved.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above embodiments are merely illustrative of the technical ideas and features of the present invention, and are intended to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the scope of the present invention. All equivalent changes and modifications made within the scope of the claims of the present invention should be covered by the claims of the present invention.
Claims (10)
1. A landing page keyword releasing method is characterized by comprising the following steps:
s1, acquiring the text content of the landing page, and segmenting the text content to obtain segmented words;
s2, counting the repetition times of each participle word, and obtaining the statistical score of each participle word according to the repetition times;
s3, judging whether each participle word is in a preset industry word bank or not, if so, setting a forward weighted score for the participle word, wherein the preset industry word bank comprises a plurality of industry professional words;
s4, obtaining the total score of each participle word according to the statistical score and the forward weighted score, and sequencing all the participle words according to the total score;
s5, selecting the word segmentation words with the preset number and the top rank as the keywords of the landing page to be released.
2. The landing page keyword putting method of claim 1, wherein after the step S3 and before the step S4, the method further comprises: s31, judging whether each participle word is in a preset conventional high-frequency word bank or not, if so, setting a negative weighted score for the participle word, wherein the preset conventional high-frequency word bank comprises a plurality of common high-frequency non-professional words, and the negative weighted score is a negative value;
the step S4 includes: s41, obtaining the total score of each participle word according to the statistical score, the positive weighted score and the negative weighted score, and sequencing all the participle words according to the total score.
3. The landing page keyword putting method of claim 1, wherein the step S5 includes:
s511, selecting a preset number of word segmentation vocabularies ranked at the top;
s512, judging whether the selected word segmentation vocabulary is the same-level vocabulary;
and S513, if so, selecting a common upper-level vocabulary of all the participle vocabularies as the landing page keywords for releasing.
4. The landing page keyword putting method of claim 1, wherein the step S5 includes:
s521, selecting a preset number of word segmentation vocabularies ranked at the top;
s522, obtaining the superior vocabularies of the word segmentation vocabularies, and putting the superior vocabularies serving as the landing page keywords.
5. The landing page keyword delivery method of claim 4, wherein the step S522 comprises: and acquiring a last-level vocabulary of the word segmentation vocabulary, and putting the last-level vocabulary as a landing page keyword.
6. The landing page keyword putting method of claim 1, wherein the step S5 includes:
s531, selecting a preset number of word segmentation vocabularies ranked at the top, wherein the word segmentation vocabularies correspond to first product names of the landing pages;
s532, selecting a second product name containing the word segmentation vocabulary, and adding content corresponding to the second product name to the landing page;
and S533, putting the second product name as a landing page keyword.
7. The landing page keyword putting method of claim 6, wherein the step S533 includes: monitoring the sales data of the second product name, and putting the second product name as a landing page keyword when the second product name corresponds to a product out of stock.
8. The landing page keyword putting method of claim 1, wherein the step S5 includes: and selecting the word segmentation vocabulary with the first ranking as the landing page keywords for putting.
9. The utility model provides a fall to ground page keyword and put in device which characterized in that includes:
the word segmentation unit is used for acquiring the text content of the landing page and segmenting words of the text content to obtain word segmentation words;
the first scoring unit is used for counting the repetition times of each participle word and obtaining the statistical score of each participle word according to the repetition times;
the second scoring unit is used for judging whether each participle word is in a preset industry word bank or not, if so, setting a forward weighted score for the participle word, wherein the preset industry word bank comprises a plurality of industry professional words;
the third scoring unit is used for obtaining the total score of each participle word according to the statistical score and the forward weighted score, and sequencing all the participle words according to the total score;
and the keyword releasing unit is used for selecting the word segmentation vocabularies with the preset number and the top rank as the keywords of the landing page to release.
10. A computer device comprising a memory and a processor, the memory for storing a computer program;
the processor is configured to execute a computer program stored in the memory to implement the landing page keyword delivery method of any one of claims 1 to 8.
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