阅读说明：本技术 一种网络资产确定方法、装置、电子设备和存储介质 (Network asset determination method and device, electronic equipment and storage medium ) 是由 李斌 禹庆华 李虎 武浩 李国辉 于 2019-09-30 设计创作，主要内容包括：本发明实施例提供了一种网络资产确定方法、装置、电子设备和存储介质,该方法检测网页的图片中是否存在商标图片来确定网页是否为企业的网络资产,提供了一种新的确定网络资产的方法。同时,通过是否包含商标图片来确定网络资产,避免了对包含和企业相关信息,实际不是企业网络资产的网页进行的误识别,提高了对企业网络资产识别的准确率。(The embodiment of the invention provides a network asset determining method, a network asset determining device, electronic equipment and a storage medium. Meanwhile, the network assets are determined by judging whether the trademark pictures are contained, so that the error identification of the webpage containing the information related to the enterprise and not the network assets of the enterprise is avoided, and the accuracy of the identification of the network assets of the enterprise is improved.)

1. A method for network asset determination, comprising:

acquiring trademark pictures of enterprises and webpage pictures in webpages;

screening a picture matched with the trademark picture from the webpage pictures to serve as a target picture;

and taking the webpage where the target picture is located as the network asset of the enterprise, and outputting the website corresponding to the webpage where the target picture is located.

2. The method for determining the network asset according to claim 1, wherein the screening the picture matching with the trademark picture from the web page pictures as the target picture comprises:

if the characters exist in the trademark picture, acquiring the trademark characters identified from the trademark picture, and identifying the picture containing the trademark characters from the webpage picture;

screening pictures matched with the trademark pictures from the webpage pictures;

and taking the picture which contains the trademark characters and is matched with the trademark picture as the target picture.

3. The method for determining the network asset according to claim 1, wherein the step of filtering the picture matching the trademark picture from the web page pictures comprises the steps of:

for any webpage picture, extracting a first picture characteristic of the webpage picture through a neural network model, and extracting a second picture characteristic of the trademark picture through the network model;

and calculating the Euclidean distance between the webpage picture and the trademark picture according to the first picture characteristic and the second picture characteristic, wherein if the Euclidean distance is smaller than a preset threshold value, the webpage picture is a picture matched with the trademark picture.

4. The method of claim 2, wherein the acquiring the trademark text recognized from the trademark picture and recognizing the picture including the trademark text from the web page picture if the character exists in the trademark picture comprises:

carrying out character recognition on the trademark picture, and recognizing the trademark characters if the characters exist in the trademark picture;

identifying picture characters from any webpage picture through character identification;

and if the recognized picture characters are the same as the trademark characters, the webpage picture is a picture containing the trademark characters.

5. The method of claim 2, wherein the obtaining the trademark picture of the enterprise and the web page picture in the web page comprises:

and creating a database, wherein the database comprises a webpage picture acquired from a webpage and characters identified from the webpage picture.

6. A network asset determination apparatus, comprising:

the acquisition module is used for acquiring trademark pictures of enterprises and webpage pictures in webpages;

the matching module is used for screening pictures matched with the trademark pictures from the webpage pictures to serve as target pictures;

and the output module is used for taking the webpage where the target picture is located as the network asset of the enterprise and outputting the website corresponding to the webpage where the target picture is located.

7. The device of claim 6, wherein the matching module is further configured to, if there is text in the trademark picture, obtain trademark text identified from the trademark picture, and identify a picture including the trademark text from a web page picture; screening pictures matched with the trademark pictures from the webpage pictures; and taking the picture which contains the trademark characters and is matched with the trademark picture as the target picture.

8. The device according to claim 6, wherein the matching module is further configured to extract, for any web page picture, a first picture feature of the web page picture through a neural network model, and a second picture feature of the trademark picture through the network model; and calculating the Euclidean distance between the webpage picture and the trademark picture according to the first picture characteristic and the second picture characteristic, wherein if the Euclidean distance is smaller than a preset threshold value, the webpage picture is a picture matched with the trademark picture.

9. The device of claim 7, wherein the matching module is further configured to perform text recognition on the trademark picture to identify the trademark text; identifying picture characters from any webpage picture through character identification; and if the recognized picture characters are the same as the trademark characters, the webpage picture is a picture containing the trademark characters.

10. The apparatus of claim 7, wherein the retrieving module is further configured to create a database, the database including a picture of a web page retrieved from a web page and a text identified from the picture of the web page.

11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the network asset determination method according to any of claims 1 to 5 are implemented when the program is executed by the processor.

12. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor, performs the steps of the network asset determination method of any of claims 1 to 5.

Technical Field

The invention relates to the technical field of computer vision and machine learning, in particular to a network asset determination method, a network asset determination device, electronic equipment and a storage medium.

Background

The network assets refer to network digital assets which independently exist in a network and are presented in a digital form, and comprise web pages, website accounts, online stores, online game accounts, characters, pictures, audios and videos and the like which are published on the network. For example, a network asset of an enterprise includes web pages belonging to the enterprise.

Currently, the detection of the network assets mainly adopts a text search mode, and the network assets of a certain enterprise are considered as long as the text contains the name or related keywords of the enterprise. This asset detection approach is not accurate because the presence of these keywords in many web pages does not represent assets belonging to the enterprise, such as news stories.

Therefore, in the practical application process, only text search is adopted to determine the network assets of the enterprise, and the network asset determination mode is single and the accuracy is low.

Disclosure of Invention

The embodiment of the invention provides a network asset determining method, a network asset determining device, electronic equipment and a storage medium, which are used for solving the problems that in the prior art, only text search is adopted to determine network assets of enterprises, the network asset determining mode is single, and the accuracy is low.

In view of the above technical problems, in a first aspect, an embodiment of the present invention provides a network asset determining method, including:

acquiring trademark pictures of enterprises and webpage pictures in webpages;

screening a picture matched with the trademark picture from the webpage pictures to serve as a target picture;

and taking the webpage where the target picture is located as the network asset of the enterprise, and outputting the website corresponding to the webpage where the target picture is located.

Optionally, the screening, from the web page pictures, pictures matched with the trademark pictures as target pictures includes:

if the characters exist in the trademark picture, acquiring the trademark characters identified from the trademark picture, and identifying the picture containing the trademark characters from the webpage picture;

screening pictures matched with the trademark pictures from the webpage pictures;

and taking the picture which contains the trademark characters and is matched with the trademark picture as the target picture.

Optionally, the screening, from the web page pictures, pictures matched with the trademark pictures includes:

for any webpage picture, extracting a first picture characteristic of the webpage picture through a neural network model, and extracting a second picture characteristic of the trademark picture through the network model;

and calculating the Euclidean distance between the webpage picture and the trademark picture according to the first picture characteristic and the second picture characteristic, wherein if the Euclidean distance is smaller than a preset threshold value, the webpage picture is a picture matched with the trademark picture.

Optionally, if there is a text in the trademark picture, acquiring the trademark text recognized from the trademark picture, and recognizing the picture including the trademark text from the web page picture, including:

carrying out character recognition on the trademark picture, and recognizing the trademark characters if the characters exist in the trademark picture;

identifying picture characters from any webpage picture through character identification;

and if the recognized picture characters are the same as the trademark characters, the webpage picture is a picture containing the trademark characters.

Optionally, before acquiring the trademark picture of the enterprise and the web page picture in the web page, the method includes:

and creating a database, wherein the database comprises a webpage picture acquired from a webpage and characters identified from the webpage picture.

In a second aspect, an embodiment of the present invention provides a network asset determination apparatus, including:

the acquisition module is used for acquiring trademark pictures of enterprises and webpage pictures in webpages;

the matching module is used for screening pictures matched with the trademark pictures from the webpage pictures to serve as target pictures;

and the output module is used for taking the webpage where the target picture is located as the network asset of the enterprise and outputting the website corresponding to the webpage where the target picture is located.

Optionally, the matching module is further configured to, if there is a text in the trademark picture, obtain the trademark text identified from the trademark picture, and identify a picture including the trademark text from a web page picture; screening pictures matched with the trademark pictures from the webpage pictures; and taking the picture which contains the trademark characters and is matched with the trademark picture as the target picture.

Optionally, the matching module is further configured to extract, for any web page picture, a first picture feature of the web page picture through a neural network model, and extract a second picture feature of the trademark picture through the network model; and calculating the Euclidean distance between the webpage picture and the trademark picture according to the first picture characteristic and the second picture characteristic, wherein if the Euclidean distance is smaller than a preset threshold value, the webpage picture is a picture matched with the trademark picture.

Optionally, the matching module is further configured to perform character recognition on the trademark picture, so as to recognize the trademark characters; identifying picture characters from any webpage picture through character identification; and if the recognized picture characters are the same as the trademark characters, the webpage picture is a picture containing the trademark characters.

Optionally, the obtaining module is further configured to create a database, where the database includes a web page picture obtained from a web page and a text identified from the web page picture.

In a third aspect, an embodiment of the present invention provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the network asset determination method described above when executing the program.

In a fourth aspect, embodiments of the present invention provide a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the network asset determination method described above.

The embodiment of the invention provides a network asset determining method, a network asset determining device, electronic equipment and a storage medium. Meanwhile, the network assets are determined by judging whether the trademark pictures are contained, so that the error identification of the webpage containing the information related to the enterprise and not the network assets of the enterprise is avoided, and the accuracy of the identification of the network assets of the enterprise is improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, a brief description will be given below of the drawings required for the embodiments or the technical solutions in the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.

FIG. 1 is a schematic flow chart of a network asset determination method provided by one embodiment of the invention;

FIG. 2 is a schematic flow chart of detection of an enterprise asset provided by another embodiment of the present invention;

FIG. 3 is a schematic flow chart illustrating the detection of a mobile enterprise asset in China according to another embodiment of the present invention;

fig. 4 is a block diagram of a network asset determination apparatus according to another embodiment of the present invention;

fig. 5 is a block diagram of an electronic device according to another embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Fig. 1 is a schematic flow chart of a network asset determining method provided in this embodiment, where the network asset determining method includes the following steps:

step 101: acquiring trademark pictures of enterprises and webpage pictures in webpages;

step 102: screening a picture matched with the trademark picture from the webpage pictures to serve as a target picture;

step 103: and taking the webpage where the target picture is located as the network asset of the enterprise, and outputting the website corresponding to the webpage where the target picture is located.

The hardware device for executing the above method may be a server, a computer, or a device dedicated to network asset determination, and the embodiment is not particularly limited thereto. For example, the server acquires a picture from a web page of the whole network in advance as a web page picture. And then matching the trademark picture of a certain enterprise with the acquired webpage pictures to obtain a target picture. The web page where each target picture is located is the network asset of the enterprise, and finally, the web address corresponding to the web page where each target picture is located can be output.

As most of the official website home pages of enterprises contain enterprise trademarks, whether the trademarks exist in the webpage images or not is detected, the webpage with the trademarks is the enterprise assets, and the method for determining the network assets has high accuracy.

The enterprise in step 101 is the enterprise to be queried for the network asset, and the trademark picture is a picture including a trademark of the enterprise. The web page picture is a file in a picture format acquired from a web page of the whole network. In step 102, the target picture refers to a picture having a high similarity with the trademark picture, i.e. a picture identical to the trademark picture or having a high similarity with the trademark picture. In step 103, when acquiring the web page pictures from the web page, the web addresses of the web pages where the web page pictures are located are pre-stored, and finally the web addresses of the web pages where the determined target pictures are located are output as the network assets of the enterprise.

The embodiment provides a network asset determining method, which detects whether a trademark picture exists in a picture of a webpage to determine whether the webpage is a network asset of an enterprise, and provides a new method for determining the network asset. Meanwhile, the network assets are determined by judging whether the trademark pictures are contained, so that the error identification of the webpage containing the information related to the enterprise and not the network assets of the enterprise is avoided, and the accuracy of the identification of the network assets of the enterprise is improved.

Further, on the basis of the above embodiment, the screening, from the web page pictures, pictures matched with the trademark pictures as target pictures includes:

if the characters exist in the trademark picture, acquiring the trademark characters identified from the trademark picture, and identifying the picture containing the trademark characters from the webpage picture;

screening pictures matched with the trademark pictures from the webpage pictures;

and taking the picture which contains the trademark characters and is matched with the trademark picture as the target picture.

To further improve the accuracy of network asset determination, for trademarks with text in the trademark picture, the present embodiment provides a method for determining network assets by text recognition (i.e., OCR, optical character recognition). And in combination with the step 101-103, taking the determined picture which contains the trademark characters and is matched with the trademark picture as a target picture. Of course, if no characters exist in the trademark picture, the picture matched with the trademark picture is directly used as the target picture.

Further, if there is a text in the trademark picture, acquiring the trademark text recognized from the trademark picture, and recognizing the picture including the trademark text from the web page picture, the method further includes:

and if no characters exist in the trademark picture, taking the picture matched with the trademark picture as the target picture.

In the case where there is text in the brand picture, 3 implementations are introduced below with respect to determining the target picture. Namely, the picture which contains the trademark characters and is matched with the trademark picture is taken as the target picture, and the method comprises the following steps:

taking a picture matched with the trademark picture and an intersection containing the trademark characters as a target picture; or after determining the picture matched with the trademark picture, determining the picture containing the trademark characters in the picture matched with the trademark picture as a target picture; or, in the pictures containing the trademark characters, pictures matched with the trademark pictures are determined as target pictures.

The embodiment provides a network asset determining method, which is used for screening target pictures by combining character recognition and picture matching, so that the accuracy rate that the recognized target pictures are enterprise trademarks is further improved, and the accuracy rate of determining the network assets is improved.

Further, on the basis of the foregoing embodiments, the screening a picture matching the trademark picture from the web page pictures includes:

for any webpage picture, extracting a first picture characteristic of the webpage picture through a neural network model, and extracting a second picture characteristic of the trademark picture through the network model;

and calculating the Euclidean distance between the webpage picture and the trademark picture according to the first picture characteristic and the second picture characteristic, wherein if the Euclidean distance is smaller than a preset threshold value, the webpage picture is a picture matched with the trademark picture.

It should be noted that the neural network model is a pre-trained model, for example, the neural network model is trained in advance, so that the neural network model classifies the pictures. When the neural network model is directly obtained to classify the pictures, the extracted picture features are calculated according to the picture features. And when the Euclidean distance is smaller than a preset threshold value, the similarity of the two pictures is considered to be higher, namely the two pictures are considered to be mutually matched pictures. The neural network model in this embodiment may be a model trained for realizing any purpose, and the similarity of the pictures is determined according to features extracted from the trained neural network model for the pictures.

It can be understood that the features of the picture may also be extracted by other methods, for example, extracting a histogram of gradients HOG feature or extracting a local binary pattern LBP feature, and the similarity between the trademark picture and a certain web page picture is determined by these features, and the picture with higher similarity is regarded as the picture matched with the trademark picture.

The embodiment provides a network asset determining method, which finds out web page pictures highly similar to trademark pictures through picture similarity judgment, wherein the web page pictures contain trademarks of enterprises, so that the network assets of the enterprises are accurately determined.

Further, in addition to the above embodiments, if there is a text in the trademark picture, the acquiring a trademark text recognized from the trademark picture, and recognizing a picture including the trademark text from a web page picture includes:

carrying out character recognition on the trademark picture, and recognizing the trademark characters if the characters exist in the trademark picture;

identifying picture characters from any webpage picture through character identification;

and if the recognized picture characters are the same as the trademark characters, the webpage picture is a picture containing the trademark characters.

And recognizing the characters from the trademark picture as the trademark characters by a character recognition technology. And for each webpage picture, character recognition is also carried out on the webpage picture, and picture characters in the webpage picture are recognized. If the picture characters identified from a certain webpage picture are the same as the trademark characters, the webpage picture is a picture containing the trademark characters.

The embodiment provides a network asset determining method, wherein if trademark characters can be recognized in a trademark picture, webpage pictures containing the trademark characters are obtained through character recognition, and the webpage pictures containing the trademark characters have the possibility of being enterprise network assets, so that the network assets of enterprises can be accurately determined by combining judgment of picture similarity.

Further, on the basis of the foregoing embodiments, before acquiring the trademark picture of the enterprise and the web page picture in the web page, the method includes:

and creating a database, wherein the database comprises a webpage picture acquired from a webpage and characters identified from the webpage picture.

In order to improve the efficiency of determining the network assets, a database is created in advance, and during the process of executing the above method step 101 and step 103, the web page picture is directly read from the database.

Further, the web page picture is a picture captured from a web page of the whole web by a web crawler.

The embodiment provides a network asset determining method, which is characterized in that a pre-created database is used, so that a network picture does not need to be crawled from a webpage temporarily in the process of determining the network asset, and the efficiency of determining the network asset is improved.

Specifically, fig. 2 is a schematic diagram of a process for detecting an enterprise asset according to an embodiment, and with reference to fig. 2, the process includes:

(1) the web page image database is constructed, and comprises two aspects, namely, downloading the web pages of the whole network and storing the images in the web pages into the database. On the other hand, OCR recognition is carried out on each image in the database to obtain character information in the image, and the character information is stored in the database.

(2) And transmitting a trademark picture of an enterprise to be searched and characters in the trademark picture, and determining the network assets through the similarity of the trademark picture and the images in the database.

The method specifically comprises the following steps: extracting the features of the image (such as the features extracted by Hog, LBP, neural network, etc.), calculating the similarity (such as Euclidean distance, cosine similarity, etc.) between the detected trademark feature vector and the image feature vector in the database, and judging whether the images are similar according to the similarity. And simultaneously, checking whether the uploaded trademark characters are generally consistent with the characters identified by the OCR in the database, wherein the icons which are basically consistent are matched images.

(3) And finding out the web page corresponding to the picture by combining the two methods, namely the web page is the network asset of the enterprise.

Fig. 3 is a schematic flow chart of detecting the enterprise assets in the chinese Mobile manner according to this embodiment, referring to fig. 3, the network assets belonging to the chinese Mobile manner need to be detected, and the upper left corner in fig. 3 is a trademark of the chinese Mobile manner, and it can be seen that the trademark includes images and characters, where the trademark characters include "and", "China Mobile", and "China Mobile".

Firstly, capturing a whole network webpage in advance, wherein the whole network webpage comprises a moving official network, downloading pictures from the captured webpage and storing the pictures into a database, and recognizing characters in the pictures by using an OCR (optical character recognition).

Then, the trademark picture of the trademark to be detected and the trademark characters in the corresponding picture are uploaded (as shown in the upper left corner of fig. 3, the trademark characters include "and", "China Mobile", and "China Mobile"), and there may be a plurality of trademarks uploaded. Extracting the characteristic vector of the image, measuring whether the trademark picture is similar to the picture in the database by utilizing the similarity (calculated by methods such as Euclidean distance, cosine similarity, Mark algorithm and the like), and simultaneously comparing whether the characters identified in the picture of the database are consistent with the trademark characters.

And finally, taking the webpage corresponding to the picture with similar picture and consistent characters as the network asset under the China Mobile flag.

The method provided by the embodiment provides a new method for determining the network assets through matching of the image similarity and judgment of consistency of characters, and the method for determining the network assets has higher accuracy.

Fig. 4 is a block diagram of a network asset determination apparatus provided in this embodiment, and referring to fig. 4, the apparatus includes an obtaining module 401, a matching module 402, and an output module 403, wherein,

an obtaining module 401, configured to obtain a trademark picture of an enterprise and a web page picture in a web page;

a matching module 402, configured to filter, from the web page pictures, a picture matched with the trademark picture as a target picture;

and an output module 403, configured to use the webpage where the target picture is located as the network asset of the enterprise, and output the website corresponding to the webpage where the target picture is located.

The network asset determination apparatus provided in this embodiment is suitable for the network asset determination method provided in the foregoing embodiment, and details are not repeated here.

The embodiment provides a network asset determining device, which detects whether a trademark picture exists in a picture of a webpage to determine whether the webpage is a network asset of an enterprise, and provides a new method for determining the network asset. Meanwhile, the network assets are determined by judging whether the trademark pictures are contained, so that the error identification of the webpage containing the information related to the enterprise and not the network assets of the enterprise is avoided, and the accuracy of the identification of the network assets of the enterprise is improved.

Further, on the basis of the above embodiment, the matching module is further configured to, if there is a text in the trademark picture, obtain the trademark text identified from the trademark picture, and identify a picture including the trademark text from a web page picture; screening pictures matched with the trademark pictures from the webpage pictures; and taking the picture which contains the trademark characters and is matched with the trademark picture as the target picture.

Further, on the basis of the above embodiments, the matching module is further configured to extract, for any web page picture, a first picture feature of the web page picture through a neural network model, and extract a second picture feature of the trademark picture through the network model; and calculating the Euclidean distance between the webpage picture and the trademark picture according to the first picture characteristic and the second picture characteristic, wherein if the Euclidean distance is smaller than a preset threshold value, the webpage picture is a picture matched with the trademark picture.

Further, on the basis of the above embodiments, the matching module is further configured to perform character recognition on the trademark picture, and recognize the trademark characters; identifying picture characters from any webpage picture through character identification; and if the recognized picture characters are the same as the trademark characters, the webpage picture is a picture containing the trademark characters.

Further, on the basis of the foregoing embodiments, the obtaining module is further configured to create a database, where the database includes a web page picture obtained from a web page and a text identified from the web page picture.

Fig. 5 is a block diagram showing the structure of the electronic apparatus provided in the present embodiment.

Referring to fig. 5, the electronic device includes: a processor (processor)501, a communication interface (communication interface)502, a memory (memory)503 and a communication bus 504, wherein the processor 501, the communication interface 502 and the memory 503 are communicated with each other through the communication bus 504. The processor 501 may call logic instructions in the memory 503 to perform the following method: acquiring trademark pictures of enterprises and webpage pictures in webpages; screening a picture matched with the trademark picture from the webpage pictures to serve as a target picture; and taking the webpage where the target picture is located as the network asset of the enterprise, and outputting the website corresponding to the webpage where the target picture is located.

In addition, the logic instructions in the memory 503 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

The present embodiments provide a non-transitory computer readable storage medium having stored thereon a computer program, the computer program being executable by a processor to perform the method of: acquiring trademark pictures of enterprises and webpage pictures in webpages; screening a picture matched with the trademark picture from the webpage pictures to serve as a target picture; and taking the webpage where the target picture is located as the network asset of the enterprise, and outputting the website corresponding to the webpage where the target picture is located.

The present embodiments disclose a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the methods provided by the above-described method embodiments, for example, comprising: acquiring trademark pictures of enterprises and webpage pictures in webpages; screening a picture matched with the trademark picture from the webpage pictures to serve as a target picture; and taking the webpage where the target picture is located as the network asset of the enterprise, and outputting the website corresponding to the webpage where the target picture is located.

The above-described embodiments of the electronic device and the like are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may also be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.

Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the embodiments of the present invention, and are not limited thereto; although embodiments of the present invention have been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.