CN116319972A - Page pushing method and device, electronic equipment and storage medium - Google Patents
Page pushing method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The disclosure provides a page pushing method, a page pushing device, electronic equipment and a storage medium, relates to the technical field of artificial intelligence, and particularly relates to the technical fields of natural language processing, intelligent searching, deep learning and the like. The scheme is as follows: under the condition that a new first page in the page set to be pushed is monitored, carrying out abnormal page identification on the first page; under the condition that the first page is identified to be abnormal, taking the domain name of the first page as an abnormal domain name, and monitoring a second page which is newly added in the page set, so as to select a related page with the abnormal domain name from the second page; carrying out abnormal page identification on the related pages; according to the page proportion of the abnormal pages identified in the related pages, the pushing probability of each page under the abnormal domain name in the page set is adjusted, so that the page with lower page quality in the page set to be pushed can be managed and controlled, the page with higher page quality can be pushed, and the user experience is improved.
Description
Technical Field
The disclosure relates to the technical field of artificial intelligence, in particular to the technical fields of natural language processing, intelligent searching, deep learning and the like, and particularly relates to a page pushing method, a page pushing device, electronic equipment and a storage medium.
Background
With the continuous promotion of commercialization, the quality of pages (such as advertisement pages) pushed on the Internet is uneven, and pushing some pages with lower quality may cause web pages to be unable to be opened, web page false comments and the like; in addition, pushing low-quality pages occupies space of high-quality pages, influences user experience, and seriously can cause public opinion, so that how to push pages is very important.
Disclosure of Invention
The disclosure provides a page pushing method, a page pushing device, electronic equipment and a storage medium.
According to an aspect of the present disclosure, there is provided a page pushing method, including: under the condition that a first page is newly added in a page set to be pushed is monitored, carrying out abnormal page identification on the first page; under the condition that the first page is identified to be abnormal, taking the domain name of the first page as an abnormal domain name, and monitoring a second page which is newly added in the page set, so as to select a related page with the abnormal domain name from the second page; carrying out abnormal page identification on the related pages; and according to the page duty ratio of the abnormal page identified in the related page, adjusting the push probability of each page under the abnormal domain name in the page set.
According to another aspect of the present disclosure, there is provided a page pushing device, including: the identification module is used for identifying abnormal pages of the first page under the condition that the first page is newly added in the page set to be pushed; the monitoring module is used for monitoring a second page which is newly added in the page set subsequently under the condition that the first page is identified to have an abnormality, and taking the domain name of the first page as an abnormality domain name so as to select a related page with the abnormality domain name from the second page; the identification module is also used for carrying out abnormal page identification on the related pages; the adjusting module is used for adjusting the pushing probability of each page under the abnormal domain name in the page set according to the page proportion of the abnormal page identified in the related page.
According to still another aspect of the present disclosure, there is provided an electronic apparatus including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the page pushing method according to the embodiment of the first aspect of the present disclosure.
According to yet another aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the page pushing method according to the embodiment of the first aspect of the present disclosure.
According to yet another aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the page pushing method according to the embodiment of the first aspect of the present disclosure.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
The drawings are for a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
fig. 1 is a flowchart of a page pushing method according to an embodiment of the disclosure;
fig. 2 is a flow chart of a page pushing method according to a second embodiment of the disclosure;
fig. 3 is a flow chart of a page pushing method according to a third embodiment of the disclosure;
fig. 4 is a flow chart of a page pushing method according to a fourth embodiment of the disclosure;
Fig. 5 is a flow chart of a page pushing method provided in a fifth embodiment of the disclosure;
fig. 6 is a flow chart of a page pushing method provided in a sixth embodiment of the disclosure;
fig. 7 is a flow chart of a page pushing method provided in a seventh embodiment of the disclosure;
FIG. 8 is a schematic diagram of abnormal page identification provided by an embodiment of the present disclosure;
fig. 9 is a schematic structural diagram of a page pushing device according to an embodiment eight of the present disclosure;
fig. 10 is a block diagram of an electronic device used to implement a page pushing method of an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
At present, the quality of pages (such as advertisement pages) pushed on the Internet is uneven, and a large number of pages (landing pages) have quality problems, which are mainly manifested in the aspects of excessive marketing to products, incapability of opening web pages, false comments of web pages and the like; the low-quality page not only can squeeze the space of the high-quality page to influence the experience of the user, but also can seriously cause public opinion, so that the identification of the quality of the page content is very important; also, in order to create a good product ecology, identification of low quality advertisements is imperative.
In the related technology, the auditing is usually carried out when a page owner submits the page material in a manual labeling mode, and the checking is carried out when the page material has certain risks; and the main risk of auditing is serious risk, and risks affecting user experience, such as dead links, abnormal pages and the like, cannot be managed and controlled.
Aiming at the problems, the disclosure provides a page pushing method, a page pushing device, electronic equipment and a storage medium.
The following describes a page pushing method, a page pushing device, an electronic device and a storage medium according to embodiments of the present disclosure with reference to the accompanying drawings.
Fig. 1 is a flowchart of a page pushing method according to an embodiment of the disclosure.
The embodiment of the disclosure is illustrated by the page pushing method being configured in a page pushing device, and the page pushing device can be applied to any electronic equipment, so that the electronic equipment can execute a page pushing function.
The electronic device may be any device with computing capability, for example, may be a personal computer (Personal Computer, abbreviated as PC), a mobile terminal, and the mobile terminal may be a hardware device with various operating systems, touch screens, and/or display screens, for example, a mobile phone, a tablet computer, a personal digital assistant, a wearable device, and the like.
As shown in fig. 1, the page pushing method may include the following steps:
In the embodiment of the present disclosure, a set of pages to be pushed may include a plurality of pages to be pushed, and in a case where a first page is newly added in the set of pages to be pushed, abnormal page identification may be performed on the first page to determine whether there is an abnormality in the first page.
In the embodiment of the disclosure, under the condition that the first page is identified to be abnormal, the domain name of the first page can be obtained, the domain name of the first page is taken as the abnormal domain name, further, the domain name of a second page which is newly added in the page set is obtained, and the domain name of the second page is compared with the abnormal domain name, so that a related page with the abnormal domain name is selected from the second page.
And 103, carrying out abnormal page identification on the related pages.
Further, the related page is subjected to abnormal page identification to determine whether the related page has an abnormality.
And 104, adjusting the push probability of each page under the abnormal domain name in the page set according to the page proportion of the abnormal page identified in the related page.
In the embodiment of the disclosure, according to the page duty ratio of the abnormal page identified in the related page, the pushing probability of each page under the abnormal domain name in the page set can be adjusted, that is, pushing of each page under the abnormal domain name in the page set is managed and controlled.
In summary, under the condition that a new first page in the page set to be pushed is monitored, carrying out abnormal page identification on the first page; under the condition that the first page is identified to be abnormal, taking the domain name of the first page as an abnormal domain name, and monitoring a second page which is newly added in the page set, so as to select a related page with the abnormal domain name from the second page; carrying out abnormal page identification on the related pages; according to the page proportion of the identified abnormal pages in the related pages, the pushing probability of each page under the abnormal domain name in the page set is adjusted, so that the page with higher page quality can be pushed by identifying the abnormal pages under the abnormal domain name and adjusting the pushing probability of each page under the abnormal domain name in the page set according to the page proportion of the abnormal pages under the abnormal domain name, and the page with lower page quality in the page set to be pushed can be managed and controlled, and the user experience is improved.
In order to clearly illustrate how the above embodiments can adjust the pushing probability of each page under the abnormal domain name in the page set according to the page ratio of the abnormal page identified in the relevant page, another page pushing method is provided in the present disclosure.
Fig. 2 is a flow chart of a page pushing method according to a second embodiment of the disclosure.
As shown in fig. 2, the page pushing method may include the following steps:
And 203, carrying out abnormal page identification on the related pages.
As an example, the page ratio of the abnormal page is identified in the relevant page and compared with the first proportional threshold, and when the page ratio of the abnormal page is identified in the relevant page and is greater than the first proportional threshold, the push probability of each page under the abnormal domain name in the page set is reduced.
As another example, the page ratio of the abnormal page identified in the relevant page is compared with the first proportional threshold, and when the page ratio of the abnormal page identified in the relevant page is less than or equal to the first proportional threshold, the push probability of each page under the abnormal domain name in the page set can be restored to the set probability.
It should be noted that, step 204 and step 205 are two parallel execution methods, and are alternatively executed when actually executed. The execution of steps 201 to 203 may be implemented by any one of the embodiments of the present disclosure, which is not limited to this and is not repeated.
In summary, under the condition that the page ratio of the abnormal page is identified to be larger than a first proportion threshold value in the related pages, the push probability of each page under the abnormal domain name in the page set is reduced; and under the condition that the page duty ratio of the abnormal page is identified to be smaller than or equal to a first proportional threshold in the related pages, restoring the pushing probability of each page under the abnormal domain name in the page set to be a set probability, thereby realizing the management and control of the page with lower page quality in the page set to be pushed by adjusting the pushing probability of each page under the abnormal domain name in the page set, pushing the page with higher page quality, and improving the user experience.
In order to clearly illustrate how to reduce the pushing probability of each page under the abnormal domain name in the page set when the page ratio of the abnormal page identified in the related page is greater than the first ratio threshold in the above embodiment, another page pushing method is provided in the present disclosure.
Fig. 3 is a flow chart of a page pushing method according to a third embodiment of the disclosure.
As shown in fig. 3, the page pushing method may include the following steps:
And step 303, carrying out abnormal page identification on the related pages.
In the embodiment of the disclosure, when the page ratio of the abnormal page is identified to be greater than the first ratio threshold in the related pages, each page belonging to the abnormal domain name is determined from the page set.
In embodiments of the present disclosure, content in each page under an abnormal domain name in a set of pages may be identified to determine whether each page is an abnormal page.
Wherein the second probability value is greater than the first probability value.
Further, the pushing probability of the abnormal page under the abnormal domain name is reduced to a first probability value, and the pushing probability of the non-abnormal page under the abnormal domain name is reduced to a second probability value, wherein the second probability value is larger than the first probability value, namely the pushing probability of the non-abnormal page under the abnormal domain name is larger than the pushing probability of the abnormal page under the abnormal domain name.
It should be noted that the execution of steps 301 to 303 may be implemented in any manner in each embodiment of the disclosure, which is not limited to this embodiment, and is not repeated herein.
In summary, under the condition that the page ratio of the abnormal page is larger than a first proportion threshold value, determining each page under the abnormal domain name from the page set; carrying out abnormal page identification on each page under the abnormal domain name in the page set; the pushing probability of the abnormal pages under the abnormal domain name is reduced to a first probability value, and the pushing probability of the non-abnormal pages under the abnormal domain name is reduced to a second probability value, so that the pushing probability of the abnormal pages under the abnormal domain name is reduced to the first probability value, and the pushing probability of the non-abnormal pages under the abnormal domain name is reduced to a second probability value, wherein the second probability value is larger than the first probability value, and the page with lower page quality in the page set can be managed and controlled by adjusting the pushing probability of each page under the abnormal domain name in the page set, so that the page with higher page quality can be pushed, and the user experience is improved.
In order to clearly illustrate how to reduce the probability of pushing each page under the abnormal domain name in the page set when the page ratio of the abnormal page identified in the related page is greater than the first ratio threshold in the above embodiment, another page pushing method is provided in the present disclosure.
Fig. 4 is a flow chart of a page pushing method according to a fourth embodiment of the disclosure.
As shown in fig. 4, the page pushing method may include the following steps:
And step 402, under the condition that the first page is identified to be abnormal, taking the domain name of the first page as an abnormal domain name, and monitoring a second page which is newly added in the page set, so as to select a related page with the abnormal domain name from the second page.
In the embodiment of the disclosure, when the page ratio of the abnormal page is identified to be greater than the first ratio threshold in the related pages, each page belonging to the abnormal domain name is determined from the page set.
The proportion of the abnormal pages in the pages thrown by the abnormal throwing person is larger than a second proportion threshold value.
And then, inquiring the user belonging to each page under the abnormal domain name in the page set, comparing the proportion of the abnormal pages in each page with a second proportion threshold value, so as to obtain the page with the proportion of the abnormal pages in each page under the abnormal domain name larger than the second proportion threshold value from the page with the proportion of the abnormal pages in each page under the abnormal domain name in the page set, and taking the page with the proportion of the abnormal pages in each page under the abnormal domain name larger than the second proportion threshold value as the page of the abnormal user.
Wherein the fourth probability value is greater than the third probability value.
Further, the page belonging to the abnormal dispenser is reduced to a third probability value, and the page not belonging to the abnormal dispenser is reduced to a fourth probability value, wherein the fourth probability value is larger than the third probability value.
It should be noted that the execution of steps 401 to 403 may be implemented in any manner in each embodiment of the disclosure, which is not limited to this embodiment, and is not repeated herein.
In summary, under the condition that the page ratio of the abnormal page is larger than a first proportion threshold value, determining each page under the abnormal domain name from the page set; querying a user belonging to each page under the abnormal domain name in the page set to determine pages belonging to the abnormal user; the pushing probability is reduced to a third probability value for pages belonging to the abnormal player, and is reduced to a fourth probability value for pages not belonging to the abnormal player, so that the pushing probability of the pages not belonging to the abnormal player is reduced to the fourth probability value through adjusting the pushing probability of the pages not belonging to the abnormal player to the third probability value, and the fourth probability value is larger than the third probability value, thereby realizing the management and control of the pages with lower page quality in the page set to be pushed, pushing the pages with higher page quality, and improving the user experience.
To clearly illustrate how the above embodiments push pages to clients, the present disclosure proposes another page pushing method.
Fig. 5 is a flowchart of a page pushing method provided in a fifth embodiment of the present disclosure.
As shown in fig. 5, the page pushing method may include the following steps:
And step 504, adjusting the push probability of each page under the abnormal domain name in the page set according to the page proportion of the abnormal page identified in the related page.
In the embodiment of the disclosure, a user can input a trigger word at a client, the client can send the trigger word to a server, and the server corresponds to the trigger word sent by the client and selects a candidate page with page content matched with the trigger word from a page set.
And sorting the pushing probability of the candidate pages from large to small, and pushing the pages with the set number which are sorted in front to the client according to the sorting sequence of the candidate pages.
It should be noted that the execution of steps 501 to 504 may be implemented in any manner of embodiments of the disclosure, which are not limited to this and are not repeated herein.
In summary, selecting a candidate page matched with the trigger word from the page set by responding to the trigger word sent by the client; and sorting according to the pushing probability of the candidate pages to select the pages with the set number before sorting to push to the client, so that the page with the set number matched with the trigger word and with the front pushing probability is pushed to the client by the page pushing value client, and the page with the higher page quality matched with the trigger word can be pushed to the client.
In order to clearly illustrate how the above embodiment takes the domain name of the first page as an abnormal domain name when the first page is identified to have an abnormality, and monitors a second page which is newly added in the page set, so as to select a related page with the abnormal domain name from the second page, another page pushing method is provided in the disclosure.
Fig. 6 is a flowchart of a page pushing method provided in a sixth embodiment of the present disclosure.
As shown in fig. 6, the page pushing method may include the following steps:
in step 601, abnormal page identification is performed on the first page under the condition that a new first page in the page set to be pushed is monitored.
In the embodiment of the disclosure, when an abnormal page exists in the first page, the abnormal page in the first page may be identified, and the abnormal page in the first page may be compared with the first page, so as to determine the page duty ratio of the abnormal page in the first page.
In step 603, when the page ratio of the abnormal page in the first page is greater than the third ratio threshold, the domain name of the first page is taken as the abnormal domain name.
Further, the page ratio of the abnormal pages in the first page is compared with a third ratio threshold to determine whether the page ratio of the abnormal pages in the first page is greater than the third ratio threshold, and as an example, when the page ratio of the abnormal pages in the first page is greater than the third ratio threshold, the domain name of the first page is taken as the abnormal domain name.
As another example, in a case where the page ratio of the abnormal pages in the first page is less than or equal to the third ratio threshold, the domain name of the first page is taken as the non-abnormal domain name.
Further, a second page which is newly added in the page set is monitored, and the domain name of the second page is matched with the abnormal domain name, so that a page with the abnormal domain name in the second page can be obtained.
As an example, the relevant page may be randomly sampled from pages in the second page having an abnormal domain name.
As one example, a page having an abnormal domain name in the second page may be taken as the relevant page.
In step 607, the push probability of each page under the abnormal domain name in the page set is adjusted according to the page duty of the abnormal page identified in the related page.
It should be noted that, the execution of steps 601 and 606 to 607 may be implemented by any one of the embodiments of the disclosure, which is not limited to this embodiment, and is not repeated.
In summary, determining the page duty ratio of the abnormal page in the first page by identifying that the abnormal page exists in the first page; taking the domain name of the first page as an abnormal domain name under the condition that the page ratio of the abnormal pages in the first page is larger than a third proportion threshold value; monitoring a second page newly added in the page set according to the abnormal domain name to obtain a page with the abnormal domain name in the second page; and sampling and selecting the related page from the pages with the abnormal domain names in the second page, thereby accurately determining the abnormal domain name of the first page with the abnormality, and accurately determining the related page with the abnormal domain name from the second page.
In order to clearly illustrate how the above embodiments perform abnormal page recognition on the first page, or perform abnormal page recognition on the related page, the present disclosure proposes another page pushing method.
Fig. 7 is a flowchart of a page pushing method according to a seventh embodiment of the present disclosure.
As shown in fig. 7, the page pushing method may include the following steps:
in step 701, feature extraction is performed for the set content of the first page to be identified under the condition that a new first page in the page set to be pushed is monitored.
The setting content comprises one or more of page text content, belonging industry information, related words, attribute of the belonging dispenser and access behavior information of the visitor.
In the embodiment of the disclosure, under the condition that a new first page in the page set to be pushed is detected, extracting features from set contents of the first page, wherein the set contents can include one or more combinations of page text contents, belonging industry information, associated words, attributes of the belonging dispenser and access behavior information of the visitor.
In order to accurately perform feature extraction on the set content of the first page, as an example, for the first page to be identified, page text content is extracted; word segmentation is carried out on the text content of the page so as to determine word vectors of each word; fusing word vectors of words belonging to the same sentence to obtain sentence vectors; sentence vectors of sentences in the text part are used as the characteristics of the text content of the page.
That is, the text content of the first page to be identified may be extracted to obtain the page text content of the first page, further, word segmentation is performed on the page text content to obtain word vectors of each word, and word vectors of nouns in the same sentence are fused to obtain sentence vectors, so that the sentence vectors of each sentence in the text portion are used as features of the page text content.
For example, the word vector for each word is denoted as w i The word vectors of the words in the same sentence are fused, and the obtained sentence vectors can be expressed as
Further, the classification model may classify each sentence vector to obtain a probability distribution of each category (whether abnormal or not), and based on the probability distribution of each category, the classification model may determine whether the first page is an abnormal page based on the corresponding prediction category output by the classification model based on the probability distribution of each category.
It should be noted that, before the extracted features are classified by using the classification model, the sentence vectors may be mapped into probability distributions of each class by softmax in the classification model, and then the classification model may be trained by using cross entropy as a loss function. Specifically, the expression can be expressed as the following formula:
where N is the number of samples, y n Labeling the nth sample with the resulting label, s n For the sentence vector representation of the nth sample, f is a softmax function, and a, B is a parameter matrix.
In step 703, when it is identified that the first page is abnormal, the domain name of the first page is used as an abnormal domain name, and a second page that is newly added in the page set is monitored, so as to select a related page with the abnormal domain name from the second pages.
The setting content comprises one or more of page text content, belonging industry information, related words, attribute of the belonging dispenser and access behavior information of the visitor.
In order to accurately perform feature extraction on the set content of the relevant page, as an example, for the relevant page to be identified, extracting page text content; word segmentation is carried out on the text content of the page so as to determine word vectors of each word; fusing word vectors of words belonging to the same sentence to obtain sentence vectors; sentence vectors of sentences in the text part are used as the characteristics of the text content of the page.
Furthermore, the classification model can classify each sentence vector to obtain probability distribution of each category, and based on the probability distribution of each category, the classification model can output corresponding prediction categories based on the probability distribution of each category, and whether the related page is an abnormal page can be determined according to the prediction categories.
It should be noted that, in order to improve the page pushing quality, the page text content of each page in the page set is obtained; under the condition that the text content of the page is matched with the set dead link keywords, determining that the corresponding page is a dead link page; the dead link page is deleted from the page set.
That is, it may be determined whether the page text content of each page in the page set matches the set dead link keyword, and if the page text content of each page matches the set dead link keyword, the corresponding page is determined to be a dead link page, which may be deleted from the page set.
For example, as shown in fig. 8, taking the first page or the related page as an advertisement landing page as an example, the advertisement landing page can be analyzed, text content of the advertisement page can be obtained, abnormal pages and dead links can be identified according to the obtained text content, and when any risk exists in the advertisement landing page, the advertisement landing page can be considered to have a problem, so that the pushing probability of the advertisement landing page can be controlled.
It should be noted that, the execution process of step 703 and step 706 may be implemented by any one of the embodiments of the disclosure, which is not limited to this, and is not repeated herein.
In summary, extracting features by aiming at the set content of the first page to be identified or the related page; the setting content comprises one or more of page text content, belonging industry information, related words, attribute of the belonging dispenser and access behavior information of the visitor; the extracted features are classified by adopting a classification model, so that whether the first page or the related page is an abnormal page or not is determined based on the output of the classification model, and therefore the accuracy of determining whether the first page or the related page is the abnormal page or not is improved.
According to the page pushing method, abnormal page identification is carried out on the first page under the condition that the first page is newly added in the page set to be pushed is monitored; under the condition that the first page is identified to be abnormal, taking the domain name of the first page as an abnormal domain name, and monitoring a second page which is newly added in the page set, so as to select a related page with the abnormal domain name from the second page; carrying out abnormal page identification on the related pages; according to the page proportion of the identified abnormal pages in the related pages, the pushing probability of each page under the abnormal domain name in the page set is adjusted, so that the page with higher page quality can be pushed, the user experience is improved, and the user experience is improved by identifying the abnormal pages under the abnormal domain name and adjusting the pushing probability of each page under the abnormal domain name in the page set according to the page proportion of the abnormal pages under the abnormal domain name.
In order to implement the foregoing embodiment, the present disclosure proposes another page pushing device.
Fig. 9 is a schematic structural diagram of a page pushing device according to an embodiment eight of the present disclosure.
As shown in fig. 9, the page pushing apparatus 900 includes: an identification module 910, a monitoring module 920, and an adjustment module 930.
The identifying module 910 is configured to identify an abnormal page for a first page when detecting that the first page is newly added in the page set to be pushed; the monitoring module 920 is configured to monitor a second page that is newly added in the page set, with a domain name of the first page being an abnormal domain name, so as to select a related page with the abnormal domain name from the second page, where the abnormal domain name exists in the first page; the identifying module 910 is further configured to identify an abnormal page for the relevant page; and the adjusting module 930 is configured to adjust the push probability of each page under the abnormal domain name in the page set according to the page duty of the abnormal page identified in the related pages.
As one possible implementation of the embodiments of the present disclosure, the adjusting module 930 is configured to: under the condition that the page ratio of the abnormal page is larger than a first proportion threshold value, pushing probability of each page under the abnormal domain name in the page set is reduced; and/or restoring the push probability of each page under the abnormal domain name in the page set to be a set probability under the condition that the page ratio of the abnormal page is identified to be smaller than or equal to the first proportional threshold in the related pages.
As one possible implementation of the embodiments of the present disclosure, the adjusting module 930 is further configured to: under the condition that the page ratio of the abnormal page is larger than a first proportion threshold value, determining each page under the abnormal domain name from the page set; carrying out abnormal page identification on each page under the abnormal domain name in the page set; and reducing the pushing probability of the abnormal page under the abnormal domain name to a first probability value, and reducing the pushing probability of the non-abnormal page under the abnormal domain name to a second probability value, wherein the second probability value is larger than the first probability value.
As one possible implementation of the embodiments of the present disclosure, the adjusting module 930 is further configured to: under the condition that the page ratio of the abnormal page is larger than a first proportion threshold value, determining each page under the abnormal domain name from the page set; querying a user belonging to each page under the abnormal domain name in the page set to determine pages belonging to the abnormal user; the proportion of the abnormal pages in the pages thrown by the abnormal throwing person is larger than a second proportion threshold; and reducing the pushing probability to a third probability value for pages belonging to the abnormal player, and reducing the pushing probability to a fourth probability value for pages not belonging to the abnormal player, wherein the fourth probability value is larger than the third probability value.
As one possible implementation of the embodiment of the present disclosure, the page pushing device 900 further includes: the device comprises a selection module and a pushing module.
The selecting module is used for responding to the trigger words sent by the client and selecting candidate pages matched with the trigger words from the page set; the pushing module is used for sorting according to the pushing probability of the candidate pages so as to select the pages with the preset number of sorted pages to push to the client.
As one possible implementation of the embodiments of the present disclosure, the monitoring module 920 is configured to: under the condition that an abnormal page exists in the first page, determining the page duty ratio of the abnormal page in the first page; taking the domain name of the first page as an abnormal domain name under the condition that the page ratio of the abnormal pages in the first page is larger than a third proportion threshold value; monitoring a second page newly added in the page set according to the abnormal domain name to obtain a page with the abnormal domain name in the second page; and sampling and selecting a relevant page from pages with abnormal domain names in the second page.
As one possible implementation of the embodiments of the present disclosure, the identifying module 910 is configured to: extracting features according to the set content of the first page to be identified or the related page; the setting content comprises one or more of page text content, belonging industry information, related words, attribute of the belonging dispenser and access behavior information of the visitor; and classifying the extracted features by adopting a classification model to determine whether the extracted features are abnormal pages or not based on the output of the classification model.
As one possible implementation of the embodiments of the present disclosure, the identification module 910 is further configured to: extracting page text content aiming at a first page to be identified or the related page; word segmentation is carried out on the page text content so as to determine word vectors of each word; fusing word vectors of words belonging to the same sentence to obtain sentence vectors; sentence vectors of sentences in the text part are used as the characteristics of the text content of the page.
As one possible implementation of the embodiment of the present disclosure, the page pushing device 900 further includes: the device comprises an acquisition module, a determination module and a deletion module.
The acquisition module is used for acquiring page text content of each page in the page set; the determining module is used for determining that the corresponding page is a dead link page under the condition that the text content of the page is matched with the set dead link keyword; and the deleting module is used for deleting the dead link page from the page set.
In summary, under the condition that a new first page in the page set to be pushed is monitored, carrying out abnormal page identification on the first page; under the condition that the first page is identified to be abnormal, taking the domain name of the first page as an abnormal domain name, and monitoring a second page which is newly added in the page set, so as to select a related page with the abnormal domain name from the second page; carrying out abnormal page identification on the related pages; according to the page proportion of the identified abnormal pages in the related pages, the pushing probability of each page under the abnormal domain name in the page set is adjusted, so that the page with lower quality affecting the user experience in the page set to be pushed can be managed and controlled by identifying the abnormal pages under the abnormal domain name and adjusting the pushing probability of each page under the abnormal domain name in the page set according to the page proportion of the abnormal pages under the abnormal domain name, and the user experience is improved.
It should be noted that, in the technical solution of the present disclosure, the related processes of collecting, storing, using, processing, transmitting, providing, disclosing, etc. of the personal information of the user are all performed on the premise of proving the consent of the user, and all conform to the rules of the related laws and regulations, and do not violate the popular regulations of the public order.
In order to achieve the above embodiments, the present disclosure further proposes an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the page pushing method of the above embodiment.
To achieve the above embodiments, the present disclosure also proposes a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the page pushing method described in the above embodiments.
In order to implement the above embodiments, the disclosure also proposes a computer program product comprising a computer program which, when executed by a processor, implements the page pushing method described in the above embodiments.
According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.
Fig. 10 shows a schematic block diagram of an example electronic device 1000 that may be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 10, the apparatus 1000 includes a computing unit 1001 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 1002 or a computer program loaded from a storage unit 1008 into a Random Access Memory (RAM) 1003. In the RAM 1003, various programs and data required for the operation of the device 1000 can also be stored. The computing unit 1001, the ROM 1002, and the RAM 1003 are connected to each other by a bus 1004. An input/output (I/O) interface 1005 is also connected to bus 1004.
Various components in device 1000 are connected to I/O interface 1005, including: an input unit 1006 such as a keyboard, a mouse, and the like; an output unit 1007 such as various types of displays, speakers, and the like; a storage unit 1008 such as a magnetic disk, an optical disk, or the like; and communication unit 1009 such as a network card, modem, wireless communication transceiver, etc. Communication unit 1009 allows device 1000 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunications networks.
The computing unit 1001 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 1001 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 1001 performs the respective methods and processes described above, such as the page pushing method. For example, in some embodiments, the page pushing method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 1008. In some embodiments, part or all of the computer program may be loaded and/or installed onto device 1000 via ROM 1002 and/or communication unit 1009. When a computer program is loaded into RAM 1003 and executed by computing unit 1001, one or more steps of the image processing method described above may be performed. Alternatively, in other embodiments, the computing unit 1001 may be configured to perform the page pushing method in any other suitable way (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), the internet, and blockchain networks.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may also be a server of a distributed system or a server that incorporates a blockchain.
It should be noted that, artificial intelligence is a subject of studying a certain thought process and intelligent behavior (such as learning, reasoning, thinking, planning, etc.) of a computer to simulate a person, and has a technology at both hardware and software level. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing, and the like; the artificial intelligence software technology mainly comprises a computer vision technology, a voice recognition technology, a natural language processing technology, a machine learning/deep learning technology, a big data processing technology, a knowledge graph technology and the like.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (21)
1. A page pushing method comprises the following steps:
under the condition that a first page is newly added in a page set to be pushed is monitored, carrying out abnormal page identification on the first page;
under the condition that the first page is identified to be abnormal, taking the domain name of the first page as an abnormal domain name, and monitoring a second page which is newly added in the page set, so as to select a related page with the abnormal domain name from the second page;
carrying out abnormal page identification on the related pages;
and according to the page duty ratio of the abnormal page identified in the related page, adjusting the push probability of each page under the abnormal domain name in the page set.
2. The method of claim 1, wherein the adjusting the push probability of each page under the abnormal domain name in the page set according to the page duty of the abnormal page identified in the related page comprises:
under the condition that the page ratio of the abnormal page is larger than a first proportion threshold value, pushing probability of each page under the abnormal domain name in the page set is reduced; and/or the number of the groups of groups,
and under the condition that the page duty ratio of the abnormal page is smaller than or equal to a first proportional threshold value, restoring the push probability of each page under the abnormal domain name in the page set to be set probability.
3. The method of claim 2, wherein the reducing the push probability of each page under the abnormal domain name in the page set if the page ratio of the abnormal page identified in the related page is greater than a first proportional threshold comprises:
under the condition that the page proportion of the abnormal page is greater than a first proportion threshold value, determining each page under the abnormal domain name from the page set;
carrying out abnormal page identification on each page under the abnormal domain name in the page set;
and reducing the pushing probability of the abnormal page under the abnormal domain name to a first probability value, and reducing the pushing probability of the non-abnormal page under the abnormal domain name to a second probability value, wherein the second probability value is larger than the first probability value.
4. The method of claim 2, wherein the reducing the push probability of each page under the abnormal domain name in the page set if the page ratio of the abnormal page identified in the related page is greater than a first proportional threshold comprises:
under the condition that the page proportion of the abnormal page is greater than a first proportion threshold value, determining each page under the abnormal domain name from the page set;
Querying a user to which each page under the abnormal domain name belongs in the page set to determine pages belonging to the abnormal user; the proportion of the abnormal pages in the pages thrown by the abnormal throwing person is larger than a second proportion threshold;
and reducing the pushing probability to a third probability value for pages belonging to the abnormal player, and reducing the pushing probability to a fourth probability value for pages not belonging to the abnormal player, wherein the fourth probability value is larger than the third probability value.
5. The method of any of claims 1-4, wherein the method further comprises:
responding to a trigger word sent by a client, and selecting a candidate page matched with the trigger word from the page set;
and sorting according to the pushing probability of the candidate pages so as to select pages with the preset number to push to the client.
6. The method according to any one of claims 1-4, wherein, in the case that the abnormality is identified in the first page, taking the domain name of the first page as an abnormal domain name, monitoring a second page that is newly added in the page set, so as to select a relevant page with the abnormal domain name from the second pages, and the method includes:
Under the condition that an abnormal page exists in the first page, determining the page duty ratio of the abnormal page in the first page;
taking the domain name of the first page as an abnormal domain name under the condition that the page ratio of the abnormal pages in the first page is larger than a third proportion threshold value;
monitoring a second page which is newly added in the page set according to the abnormal domain name so as to obtain a page with the abnormal domain name in the second page;
and sampling and selecting the related page from the pages with the abnormal domain names in the second page.
7. The method of any of claims 1-4, wherein the performing abnormal page identification on the first page or performing abnormal page identification on the related page comprises:
extracting features of the set content of the first page to be identified or the related page; the setting content comprises one or more of page text content, belonging industry information, related words, attribute of the belonging dispenser and access behavior information of the visitor;
and classifying the extracted features by adopting a classification model to determine whether the extracted features are abnormal pages or not based on the output of the classification model.
8. The method of claim 7, wherein the feature extraction for the set content of the first page or the related page to be identified includes:
extracting page text content for the first page to be identified or the related page;
word segmentation is carried out on the page text content so as to determine word vectors of each word;
fusing word vectors of words belonging to the same sentence to obtain sentence vectors;
and taking sentence vectors of all sentences in the text part as the characteristics of the text content of the page.
9. The method of any of claims 1-4, wherein the method further comprises:
acquiring page text content of each page in the page set;
under the condition that the text content of the page is matched with the set dead link keywords, determining that the corresponding page is a dead link page;
and deleting the dead link page from the page set.
10. A page pushing device, comprising:
the identification module is used for identifying abnormal pages of the first page under the condition that the first page is newly added in the page set to be pushed;
the monitoring module is used for monitoring a second page which is newly added in the page set subsequently under the condition that the first page is identified to have an abnormality, and taking the domain name of the first page as an abnormality domain name so as to select a related page with the abnormality domain name from the second page;
The identification module is also used for carrying out abnormal page identification on the related pages;
the adjusting module is used for adjusting the pushing probability of each page under the abnormal domain name in the page set according to the page proportion of the abnormal page identified in the related page.
11. The apparatus of claim 10, wherein the adjustment module is configured to:
under the condition that the page ratio of the abnormal page is larger than a first proportion threshold value, pushing probability of each page under the abnormal domain name in the page set is reduced; and/or the number of the groups of groups,
and under the condition that the page duty ratio of the abnormal page is smaller than or equal to a first proportional threshold value, restoring the push probability of each page under the abnormal domain name in the page set to be set probability.
12. The apparatus of claim 11, wherein the adjustment module is further configured to:
under the condition that the page proportion of the abnormal page is greater than a first proportion threshold value, determining each page under the abnormal domain name from the page set;
carrying out abnormal page identification on each page under the abnormal domain name in the page set;
And reducing the pushing probability of the abnormal page under the abnormal domain name to a first probability value, and reducing the pushing probability of the non-abnormal page under the abnormal domain name to a second probability value, wherein the second probability value is larger than the first probability value.
13. The apparatus of claim 11, wherein the adjustment module is further configured to:
under the condition that the page proportion of the abnormal page is greater than a first proportion threshold value, determining each page under the abnormal domain name from the page set;
querying a user to which each page under the abnormal domain name belongs in the page set to determine pages belonging to the abnormal user; the proportion of the abnormal pages in the pages thrown by the abnormal throwing person is larger than a second proportion threshold;
and reducing the pushing probability to a third probability value for pages belonging to the abnormal player, and reducing the pushing probability to a fourth probability value for pages not belonging to the abnormal player, wherein the fourth probability value is larger than the third probability value.
14. The apparatus of any of claims 10-13, wherein the apparatus further comprises:
the selecting module is used for responding to the trigger words sent by the client and selecting candidate pages matched with the trigger words from the page set;
And the pushing module is used for sorting according to the pushing probability of the candidate pages so as to select the pages with the preset number of sorted pages to push to the client.
15. The apparatus of any of claims 10-13, wherein the monitoring module is to:
under the condition that an abnormal page exists in the first page, determining the page duty ratio of the abnormal page in the first page;
taking the domain name of the first page as an abnormal domain name under the condition that the page ratio of the abnormal pages in the first page is larger than a third proportion threshold value;
monitoring a second page which is newly added in the page set according to the abnormal domain name so as to obtain a page with the abnormal domain name in the second page;
and sampling and selecting the related page from the pages with the abnormal domain names in the second page.
16. The apparatus of any of claims 10-13, wherein the identification module is to:
extracting features of the set content of the first page to be identified or the related page; the setting content comprises one or more of page text content, belonging industry information, related words, attribute of the belonging dispenser and access behavior information of the visitor;
And classifying the extracted features by adopting a classification model to determine whether the extracted features are abnormal pages or not based on the output of the classification model.
17. The apparatus of claim 16, wherein the identification module is further configured to:
extracting page text content for the first page to be identified or the related page;
word segmentation is carried out on the page text content so as to determine word vectors of each word;
fusing word vectors of words belonging to the same sentence to obtain sentence vectors;
and taking sentence vectors of all sentences in the text part as the characteristics of the text content of the page.
18. The apparatus of any of claims 10-13, wherein the apparatus further comprises:
the acquisition module is used for acquiring page text content of each page in the page set;
the determining module is used for determining that the corresponding page is a dead link page under the condition that the text content of the page is matched with the set dead link keyword;
and the deleting module is used for deleting the dead link page from the page set.
19. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-9.
20. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-9.
21. A computer program product comprising a computer program which, when executed by a processor, implements the method of any of claims 1-9.
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