CN108959316B - Method and device for adding webpage to favorites - Google Patents
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- CN108959316B CN108959316B CN201710375394.2A CN201710375394A CN108959316B CN 108959316 B CN108959316 B CN 108959316B CN 201710375394 A CN201710375394 A CN 201710375394A CN 108959316 B CN108959316 B CN 108959316B
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Abstract
The embodiment of the invention provides a method and a device for adding a webpage into a favorite, wherein the favorite comprises at least one folder, and the method comprises the following steps: acquiring attribute characteristics of the folder; the attribute features of the folders are extracted according to the attribute features of all the collected webpages in the folders and the names of the folders; acquiring attribute characteristics of the webpage; calculating the similarity between the attribute characteristics of the webpage and the attribute characteristics of each folder in the favorites; taking the folder with the highest similarity and no less than a preset similarity threshold value as a target folder; and adding the webpage to the target folder. The embodiment of the invention solves the problems of complex operation and low efficiency when the user collects the webpage in the prior art.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method and an apparatus for adding a web page to a favorite.
Background
When a user browses a webpage by using a browser, favorite or commonly used webpages can be recorded and reserved through the self-contained favorite function of the browser, when the user wants to browse some collected webpages again later, the user only needs to directly open the favorite and click the marks of the webpages in the favorite to access the webpages without inputting webpage addresses again, but as the number of the webpages collected by the user is increased and the interested contents of the user in different time periods are different, the contents in the favorite are disordered. Therefore, when a user adds a web page to a favorite, the web page is often put into different folders according to contents to be saved.
At present, when a user collects a webpage, the user needs to manually select a corresponding folder, and if too many folders are in the folders, the user needs a certain time to search and discriminate, so that the operation is complicated and the efficiency is low.
Disclosure of Invention
In order to solve the problems of complex operation and low efficiency when a user adds a webpage to a favorite, the embodiment of the invention provides a method for adding the webpage to the favorite and a corresponding device for adding the webpage to the favorite.
In one aspect, an embodiment of the present invention discloses a method for adding a web page to a favorite, wherein the favorite comprises at least one folder; the method comprises the following steps:
acquiring attribute characteristics of the folder; the attribute features of the folders are extracted according to the attribute features of all the collected webpages in the folders and the names of the folders;
acquiring attribute characteristics of the webpage;
calculating the similarity between the attribute characteristics of the webpage and the attribute characteristics of each folder in the favorites;
taking the folder with the highest similarity and no less than a preset similarity threshold value as a target folder;
and adding the webpage to the target folder.
Preferably, each folder in the favorites comprises at least one favorite webpage;
the step of obtaining the attribute characteristics of the folders in the favorites comprises the following steps:
acquiring a folder name, and keyword characteristics, and/or webpage object characteristics, and/or URL characteristics of each webpage in the folder;
generating a feature vector of the folder according to the name of the folder, the keyword features of each webpage in the folder, and/or the object features of the webpage, and/or the URL features as dimensions;
and taking the feature vector as the attribute feature of the folder.
Preferably, the step of obtaining the attribute characteristics of the web page includes:
acquiring keyword characteristics, and/or webpage object characteristics, and/or URL characteristics of the webpage;
matching the keyword features, and/or the webpage object features, and/or the URL features of the webpage with a preset feature vector list to generate feature vectors of the webpage;
and taking the generated feature vector of the webpage as the attribute feature of the webpage.
Preferably, the step of calculating the similarity between the attribute features of the web page and the attribute features of the folders in the favorite includes:
and calculating the cosine similarity between the feature vector of the webpage and the feature vector of each folder.
Preferably, after the web page is added to the target folder, the attribute characteristics of the target folder are updated according to the attribute characteristics of the web page.
Preferably, the method further comprises: and when the similarity between the attribute characteristics of the webpage and the attribute characteristics of one or more folders in the webpage favorite is smaller than the preset similarity, newly building the folder in the webpage favorite, and naming the newly-built folder by using the attribute characteristics of the webpage to be added.
The embodiment of the invention also discloses another method for adding the webpage to the favorite, which comprises the following steps:
newly building a folder in the favorite, and naming the newly built folder;
the server acquires the name of the newly-built folder; the server is used for matching the name of the newly-built folder with the names of folders uploaded by other users, taking the folder with the highest matching degree as a matched folder, and acquiring the attribute characteristics of the matched folder;
receiving attribute characteristics of the matched folder returned by the server;
and taking the attribute characteristics of the matched folder as the attribute characteristics of the new folder.
In another aspect, an embodiment of the present invention discloses an apparatus for adding a web page to a favorite, where the favorite includes at least one folder; the device comprises:
the folder attribute feature acquisition module is used for acquiring the attribute features of the folders; the attribute features of the folders are extracted according to the attribute features of all the collected webpages in the folders and the names of the folders;
the webpage attribute feature acquisition module is used for acquiring the attribute features of the webpage;
the calculation module is used for calculating the similarity between the attribute characteristics of the webpage and the attribute characteristics of each folder in the favorites;
the determining module is used for taking the folder with the highest similarity and not less than a preset similarity threshold value as a target folder;
and the webpage adding module is used for adding the webpage into the target folder.
The embodiment of the invention also discloses another device for adding the webpage to the favorite, which comprises the following steps:
the system comprises a folder newly-building module, a folder setting module and a folder setting module, wherein the folder newly-building module is used for newly building a folder in a webpage favorite and naming the newly-built folder;
the sending module is used for the server to obtain the name of the new folder; the server is used for matching the name of the newly-built folder with the names of folders uploaded by other users, taking the folder with the highest matching degree as a matched folder, and acquiring the attribute characteristics of the matched folder;
the attribute characteristic receiving module is used for receiving the attribute characteristics of the matched folder returned by the server;
and the attribute characteristic determining module is used for taking the attribute characteristics of the matched folder as the attribute characteristics of the new folder.
The embodiment of the invention has the following advantages:
in the embodiment of the invention, when a user triggers the operation of saving the current webpage into the webpage favorite, the browser acquires the attribute characteristics of the folder; the attribute features of the folders are extracted according to the attribute features of all the collected webpages in the folders and the names of the folders; and then acquiring the attribute characteristics of the webpage, then calculating the similarity between the attribute characteristics of the webpage and the attribute characteristics of each folder in the favorites, taking the folder with the highest similarity and not less than a preset similarity threshold value as a target folder, and adding the webpage into the target folder. Therefore, when a user adds the webpage to the webpage favorite, the browser can automatically select the most appropriate folder for the webpage to store, and the problems that in the prior art, the operation is complicated and the efficiency is low when the user collects the webpage are solved.
In addition, when a user newly creates a folder in the web page favorite, the attribute feature of the folder with the same or similar name as the new folder can be obtained from the server according to the name of the new folder, and the attribute feature can be used as the attribute feature of the new folder. Thus, even if no web page is collected in the new folder, when the user adds a web page having the same or similar attribute characteristics as the new folder, the browser can still automatically add the web page to the new folder.
Drawings
FIG. 1 is a flowchart illustrating steps of an embodiment of a method for adding web pages to favorites according to the present invention;
FIG. 2 is a flowchart illustrating steps of an embodiment of a method for adding web pages to favorites according to the present invention;
FIG. 3 is a block diagram illustrating an embodiment of an apparatus for adding web pages to favorites according to the present invention;
FIG. 4 is a block diagram of a second embodiment of the apparatus for adding web pages to favorites according to the present invention;
FIG. 5 is a block diagram illustrating an apparatus for adding web pages to favorites according to an exemplary embodiment.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Referring to fig. 1, a flowchart illustrating a first step of an embodiment of a method for adding a web page to a favorite according to the present invention is shown, where the method specifically includes the following steps:
generally, favorites have two main forms: one is a local favorite, the website collected in the local favorite is stored locally, and the address collected by the local favorite cannot be used when the user surfs the internet in one place, for example, the user adds the favorite website in a computer at home, and cannot find the website in the favorite of a company computer; the other is a network favorite, if the network favorite records the login information of the network favorite of a certain browser, the added favorite contents can be browsed and used after the login is carried out by using the same browser on any terminal which can be connected with the network. In the embodiment of the present invention, the web page favorite of the browser may be a local favorite or a network favorite, which is not limited in this embodiment of the present invention.
In addition, in the present application, the browser is only an example, and all application clients that have favorites and can store websites in the favorites are applicable to the present application, which is not limited in this application. For convenience of description, the present application will be described below by taking a browser as an example.
The browser is provided with a collection button, and when a user clicks the collection button, the user indicates that the user wants to collect the current webpage. In the prior art, when a user clicks a favorite button, a browser pops up a prompt box, where the content of the prompt box includes a web page name, a URL of the web page, and a favorite directory, where the favorite directory may include one or more folders, and each folder may further include one or more folders. If the user does not select the storage position of the webpage, the webpage is stored in the root directory of the favorite under the default condition, if the user wants to store the webpage in the folder of the primary directory, the corresponding folder needs to be selected for storage, if the user wants to store the webpage in the folder of the secondary directory, the primary directory folder needs to be opened, and then the corresponding folder is selected for storage.
In addition, the prompt box generally further includes buttons such as "new folder", "determine", and "cancel", where the new folder is a folder for creating a primary directory in the favorite, or a folder for a secondary directory, and the determination indicates that the name and the URL of the current web page are saved to the corresponding position of the favorite directory, and the cancellation indicates that the current web page is canceled.
In the embodiment of the present invention, after the user clicks the favorite button, the browser may pop up a prompt box, where the content of the prompt box includes a web page name and a URL of the web page. The prompt box comprises a button of 'confirm' and a button of 'cancel', wherein the confirmation means that the name and the URL of the current webpage are collected, and the cancellation means that the current webpage is collected.
When the user clicks the "ok" button, the browser receives a user-initiated instruction to save the web page to the favorites, and the browser extracts the attribute features from the web page.
Certainly, after the user clicks the favorite button, the browser may also directly save the webpage to a certain folder of the favorite without popping up the prompt box, so as to save user operations, and whether to pop up the prompt box may be set according to actual needs, which is not limited in the present application.
In a preferred embodiment of the present invention, each folder in the favorites includes at least one favorite web page;
the step of obtaining the attribute characteristics of the folder comprises the following steps:
acquiring a folder name, and keyword characteristics, and/or webpage object characteristics, and/or URL characteristics of each webpage in the folder;
generating a feature vector of the folder according to the name of the folder, the keyword features of each webpage in the folder, and/or the object features of the webpage, and/or the URL features as dimensions;
and taking the feature vector as the attribute feature of the folder.
Specifically, each favorite web page in the folder also has an attribute feature, because the browser will extract the attribute feature of the favorite web page when the favorite web page is saved to the folder in the folder. Of course, after the attribute features of each collected webpage are extracted, the extracted attribute features can be stored, so that the processes of analyzing the content of each collected webpage and extracting the attribute features of each collected webpage are not needed when the attribute features of each collected webpage are obtained.
Before acquiring the attribute characteristics of the folder, the attribute characteristics of each collected webpage in the folder need to be acquired.
A web page is a plain Text file containing HTML (hypertext Markup Language) tags, in hypertext Markup Language format (an application of standard universal Markup Language, with file extensions of HTML or htm). Web pages often provide drawings with image files. The web page is to be read by a web browser.
Clicking the right mouse button on the web page selects "view source file" in the menu, so that the actual content of the web page, including the URL and TITLE (web page name) of the current web page, can be seen through the notepad. It can be seen that the web page is actually only a plain text file. It describes the elements (such as font, color, size) of the text, image, table, sound, etc. on the page through various marks, and the browser interprets the marks and generates the page, so as to obtain the picture seen by the user. As for the reason why no picture can be seen in the source file, the reason is that only the link position of the picture is stored in the web page file, and the picture file and the web page file are stored independently from each other, and even not on the same computer, the elements such as table, sound and the like are the same as the image.
Among other things, web pages typically include the following elements:
firstly, text: the text is the most important information carrier and communication tool on the webpage, and the main information in the webpage is generally mainly in the form of text.
Secondly, image: the image elements have the functions of providing information and displaying visual images in the webpage. Wherein the images include still images and animated images.
Static image: in the page there may be raster graphics or vector graphics. Typically GIF, JPEG or PNG; or vector formats such as SVG or Flash.
Animation image: typically animated are GIF and SVG.
Thirdly, Flash animation: the role of animation in web pages is to effectively attract more attention of visitors.
Fourthly, sound: sound is an important component of multimedia and video web pages.
Fifthly, video: the video files are adopted, so that the webpage effect is more wonderful and rich in dynamic sense.
Sixthly, table: a table is a layout way used in a web page to control business information.
Seventhly, navigation bar: the navigation bar is a group of hyperlinks in the web page, and the connected destination end is an important page in the web page.
Eighthly, interactive form: forms are typically used in web pages to contact a database and accept access to data entered by a user at the browser end. And the database of the server is utilized to provide more interaction for the client and the server.
Therefore, extracting the attribute features from the web page may be analyzing a source file of the web page and then extracting the keyword features. For example, a folder already exists in the user's favorite, and the name is "intellectual property", and the URL of the webpage that the user wants to collect currently is http:// www.sipo.gov.cn/, the name of the webpage is the intellectual property office of the people's republic of China, and the webpage includes elements such as text, images, navigation bars, and the like. When the text in the web page is analyzed, keywords such as "intellectual property," patent, "" application "and the like can be obtained by extracting keywords of the text content, and then the keywords extracted from the web page by the browser are" intellectual property, "" patent, "and" application.
In addition, the attribute features of the web page may also include a feature vector of the web page. Specifically, the feature vector of the web page can be obtained by extracting the keywords of the web page, the title of the web page and the text content of the web page can be segmented, and the tf-idf value of each word is calculated to obtain the feature vector of the web page.
Wherein tf-idf means: TF, i.e., Term Frequency (Term Frequency), and IDF, i.e., Inverse Document Frequency (Inverse Document Frequency). TF represents the frequency with which terms appear in document d. The Inverse Document Frequency (IDF) is a measure of the general importance of a term, and the IDF of a particular term can be obtained by dividing the total document number by the number of documents containing the term and taking the logarithm of the obtained quotient.
There are many formulas for calculating tf-idf values, and any formula that can be used to calculate tf-idf values is suitable for this application, and the application is not limited thereto.
In the embodiment of the invention, the attribute characteristics of each collected webpage can be extracted firstly, then the attribute characteristics of each collected webpage are processed uniformly to obtain one attribute characteristic, then the attribute characteristic is combined with the keywords of the folder name to generate the attribute characteristics of the folder, or the contents of all the collected webpages can be taken as the contents in one webpage, and then the keyword characteristics, the webpage object characteristics, the URL characteristics, the folder name and the like are extracted to directly obtain the attribute characteristics of the folder. For example, by extracting keyword features of each web page in a certain folder, n words with the highest tf-idf value are obtained, and if n is 3, the n words are "intellectual property," "patent," and "application," the feature vector of the folder is (1, 1, 1).
If the favorite web pages in the folder contain other elements such as images and sounds, one or more dimensions are added to the feature vector of the folder to indicate that, for example, the keyword feature of a certain folder is three keywords, namely "intellectual property", "patent", "application", the feature vector of the folder is (1, 1, 1), but the favorite web pages in the folder contain videos and images, values of two dimensions can be added to the feature vector of the folder, so the feature vector of the web page can be indicated as (1, 1, 1, 1, 1), the feature vector of the fourth dimension indicates that the folder contains videos, and the feature vector of the fifth dimension indicates that the folder contains images.
Of course, n is taken as 3 merely by way of example, the value of n may be set according to actual requirements, and if n is 4, the four keywords obtained by the folder are: "intellectual property," "patent," "application," "new," then the feature vector for that folder is (1, 1, 1, 1).
After the attribute features of each collected webpage are extracted, the attribute features of the folder are generated by combining the name features of the folder, namely the name of the folder.
Since the name of the folder is only text and does not include contents such as URL, video, and the like, it is sufficient to perform a process of extracting keywords from the name of the folder when generating the attribute feature of the folder.
Of course, the above method is only one example of obtaining the attribute feature of the folder, and other methods of obtaining the attribute feature of the folder are also applicable to the embodiment of the present invention.
In order to avoid repeated acquisition of the attribute features of each folder, the attribute features may be stored after each folder has acquired the attribute features for the first time.
102, acquiring attribute characteristics of the webpage;
in a preferred embodiment of the present invention, the step of obtaining the attribute characteristics of the web page includes:
acquiring keyword characteristics, and/or webpage object characteristics, and/or URL characteristics of the webpage;
matching the keyword features, and/or the webpage object features, and/or the URL features of the webpage with a preset feature vector list to generate feature vectors of the webpage;
and taking the generated feature vector of the webpage as the attribute feature of the webpage.
For example, five words with the highest tf-idf value are extracted from the web pages to be added to the favorites as "intellectual property", "patent", "application", "new type" and "invention", and the keyword features in the preset vector feature list include "intellectual property", "patent" and "application", and the feature vector of the web page is (1, 1, 1) through matching, and if the keyword extracted from another web page to be added to the favorites is "intellectual property", "application", the feature vector of the web page is (1, 0, 1).
Of course, n is only illustrated as 3, and the value of n may be set according to actual requirements, for example, n is 4, and the keywords in the preset feature vector list include "intellectual property," "patent," "application," "new type," and then the feature vectors of the web pages whose keywords are "intellectual property," "patent," and "application" are (1, 1, 1, 0).
It should be noted that the browser extracts keywords from the web page text to analyze the text content of the web page text, and obtains the keywords by performing sentence breaking on the sentence. For example, a sentence is segmented for "patent search", two keywords of "patent" and "search" can be obtained, and by analogy, the sentence is segmented for other sentences, and then the occurrence times of all keywords are counted to obtain n keywords with the highest occurrence times. For example, in a web page having a URL of "http:// www.sipo.gov.cn/", "four keywords," intellectual property "," patent "," application "," new type "appear most frequently," patent "appears 30 times," application "appears 20 times," intellectual property "appears 15 times," new type "appears 10 times, and when n is 3, the keywords of the web page are" intellectual property "," patent "," application ". Of course, the number of the keywords with the highest frequency of occurrence may be set according to actual situations, and the embodiment of the present invention is not limited thereto.
In addition, the method and the device can judge whether the webpage contains other elements such as images and sounds or not besides analyzing the text, and if so, one or more dimensions are added to the feature vector of the webpage to indicate that the webpage contains other elements such as images and sounds.
Continuing with the foregoing example, for example, if three keywords "intellectual property", "patent" and "application" are extracted from a certain web page, the feature vector of the web page is (1, 1, 1), and the web page includes video and image through analysis, then two-dimensional values may be added to the feature vector of the web page, so that the feature vector of the web page may be represented as (1, 1, 1, 1, 1), and if the keyword of another web page is "intellectual property", "application", the web page includes image and does not include video, the feature vector of another web page may be represented as (1, 0, 1, 0, 1).
Therefore, in practical application, a feature vector list may be preset, the horizontal dimension of the list may include keyword features, that is, n keywords with the highest tf-idf value, and may also include web page object features, that is, whether a web page includes a video, whether an image, and the like, and web page URL features, that is, web site categories to which URLs in the web page belong, where the web site categories may include news, videos, forums, and the like, and the method for determining the web site categories may be implemented by analyzing domain names of web sites and the like. The vertical dimension may include the number of web pages, etc.; the keyword can be extracted from the web page, and after the tf-idf value is calculated, the keyword is filled in the list, and the feature vector list can be shown as the following list:
| keyword 1 | Keyword 2 | 。。。 | Keyword n | Involving video | Including images | |
| Web page 1 | 1 | 1 | 。。。 | 0 | 0 | 1 |
| Web page 2 | 0 | 1 | 。。。 | 1 | 1 | 0 |
| 。。。 | 。。。 | 。。。 | 。。。 | 。。。 | 。。。 | 。。。 |
| Web page n | 1 | 0 | 。。。 | 1 | 0 | 0 |
Of course, the above list of feature vectors is only an example, and the items included in the horizontal dimension and the vertical dimension may be set according to actual requirements.
In addition, the final purpose of the feature vector list is to obtain the feature vectors of the web pages, so in practice, the feature vectors of the web pages may be obtained by other methods besides the list method, which is not limited in the present application.
103, calculating the similarity between the attribute characteristics of the webpage and the attribute characteristics of each folder in the favorite;
after extracting the attribute features of the web page, the attribute features of the web page need to be matched with the folders in the web page favorite, and because each folder has its own attribute feature and the attribute features of the files are different from each other, the attribute features of the web page are matched with the folders in the web page favorite, that is, the attribute features of the folders are matched.
In this embodiment of the present invention, the step of calculating the similarity between the attribute features of the web page and the attribute features of the folders in the favorite includes:
and calculating the cosine similarity between the feature vector of the webpage and the feature vector of each folder.
Specifically, the cosine similarity of the attribute features of the web pages to be collected and the attribute features of each folder in the collection can be calculated, and the cosine similarity uses a cosine value of an included angle between two vectors in the vector space as a measure of the difference between the two individuals. The closer the cosine value is to 1, the closer the angle is to 0 degrees, i.e. the more similar the two vectors are.
104, taking the folder with the highest similarity and no less than a preset similarity threshold as a target folder;
for example, there are A, B, C folders in the favorites, the preset similarity threshold is 0.8, and it can be known through calculation that the cosine similarities of the attribute features of the web page to be hidden and the attribute features of the folder A, B, C are 0.3, 0.65, and 0.97, respectively, and it is obvious that the similarity between the web page to be hidden and the folder C is the highest and greater than the similarity threshold, so the folder C is the folder that is most matched with the web page to be hidden.
Of course, the above method is only an example of determining the matching degree between the attribute features of the web page and the attribute features of the folder, and other methods for determining the matching degree between the attribute features of the web page and the attribute features of the folder are also applicable to the embodiment of the present invention, and the embodiment of the present invention is not limited to this.
After the target folder is determined, the web page is added to the target folder. For example, folder C is determined to be the target folder for storing the web page, and thus the web page is saved to folder C in the favorite folder.
because the attribute features of the folder are generated by combining the attribute features of each favorite webpage in the folder and the name of the folder, when the favorite webpage is newly added in the folder, the attribute features of each favorite webpage in the original folder, the attribute features of the newly added webpage and the name of the folder are combined to regenerate the attribute features of the folder, and the generated attribute features of the new folder are used for replacing the attribute features of the folder without adding the new favorite webpage.
Specifically, the attribute characteristics of the folder may be updated by using public "folder characteristics a × current folder characteristic vector + (1-a) × new web page characteristic vector", where a is a weight value, and a value may be set according to an actual requirement, for example, a is 0.95; other methods can also be used, for example, after the web pages to be collected are added to the folder, the original collected web pages in the folder and the newly added web pages are combined with the folder name to regenerate the attribute characteristics of the folder.
And 106, when the similarity between the attribute characteristics of the webpage and the attribute characteristics of one or more folders in the webpage favorite is smaller than the preset similarity, newly building the folder in the webpage favorite, and naming the newly-built folder by the attribute characteristics of the webpage to be added.
In practical applications, there are other situations, namely, although there are favorite web pages in the favorite of the browser, there is no folder. In this case, the attribute features of the folders in the favorites cannot be obtained, and therefore, the attribute features of the web page to be added to the web page favorites cannot be matched with the attribute features of one or more folders in the web page favorites.
In view of the above situation, when a user adds a current webpage to a webpage favorite, a new folder is created in the webpage favorite, then the attribute characteristics of the current webpage to be added are obtained, and the attribute characteristics are used as the name of the new folder. Of course, the attribute characteristics of the current web page to be added may be obtained first, and then the folder is created.
In another case, although there are folders in the favorites, the similarity of the folder with the highest similarity among the similarities of the web page to be cached and each folder is lower than the preset similarity threshold, for example, the similarity between the webpage to be stored and the folder A, B, C is 0.02, 0.06 and 0.1 respectively, but the preset similarity threshold is 0.8, it is obviously also not appropriate to add the to-be-hidden to the folder C in this case, and therefore, in the embodiment of the invention, a threshold value of the similarity can be preset, when the similarity between the webpage to be collected and the folder is lower than the threshold value of the preset similarity, the webpage to be collected is not added into the folder, but do other processes, such as directly adding the web pages to be collected to the favorites, or, and newly building a folder in the favorites, and naming the newly built folder by using the attribute characteristics of the webpage to be added.
Referring to fig. 2, a flowchart illustrating a second step of an embodiment of a method for adding a web page to a favorite according to the present invention is shown, where the method specifically includes the following steps:
in the embodiment of the present invention, the step of obtaining the attribute characteristics of the matching folder includes:
acquiring the folder name of the matched folder, and the keyword characteristics, and/or the webpage object characteristics, and/or the URL characteristics of each webpage in the matched folder;
generating a feature vector of the matched folder according to the folder name of the matched folder and the keyword feature, and/or the webpage object feature, and/or the URL feature of each webpage in the matched folder as dimensions;
and taking the feature vector as the attribute feature of the matched folder.
and step 204, taking the attribute characteristics of the matched folder as the attribute characteristics of the new folder.
Specifically, the attribute characteristics of each folder in each user's favorite may be stored in a remote server, and the server may store the name and attribute characteristics of the folder, without knowing the identity information of the user.
When a user creates a folder in a favorite, a browser obtains the name of the folder, then sends the name to a remote server, the server takes the name as a keyword, matches the names of all folders in the server, calculates the matching degree of the name and all folder names in the remote server, then sorts the matching results, calls the folder name with the highest matching degree as a matching folder, obtains the attribute characteristics of the folder, and sends the attribute characteristics of the folder to the browser, and the browser takes the received attribute characteristics of the folder as the attribute characteristics of the newly created folder.
Thus, even if no web page is collected in the new folder, the new folder has the attribute feature, and when the user adds a web page which is the same as or similar to the attribute feature of the new folder, the browser can automatically add the web page to the new folder.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
Referring to fig. 3, a first block diagram of an embodiment of the apparatus for adding a web page to a favorite according to the present invention is shown.
The device may specifically include the following modules:
a folder attribute feature obtaining module 301, configured to obtain attribute features of the folder; the attribute features of the folders are extracted according to the attribute features of all the collected webpages in the folders and the names of the folders;
a web page attribute feature obtaining module 302, configured to obtain an attribute feature of the web page;
a calculating module 303, configured to calculate similarity between the attribute features of the web page and the attribute features of each folder in the favorites;
a determining module 304, configured to use the folder with the highest similarity and no less than a preset similarity threshold as a target folder;
a web page adding module 305, configured to add the web page to the target folder.
In a preferred embodiment of the present invention, each folder in the favorites includes at least one favorite web page;
the folder attribute feature acquisition module comprises:
the folder feature acquisition submodule is used for acquiring the name of the folder and the keyword features, and/or the webpage object features, and/or the URL features of each webpage in the folder;
the folder feature vector generation submodule is used for generating a feature vector of the folder according to the name of the folder, the keyword features of each webpage in the folder, and/or the object features of the webpage, and/or the URL features as dimensions;
and the folder attribute characteristic determining submodule is used for taking the feature vector as the attribute characteristic of the folder.
In a preferred embodiment of the present invention, the web page attribute feature obtaining module includes:
the webpage sub-feature acquisition sub-module is used for acquiring the keyword features, and/or the webpage object features, and/or the URL features of the webpage;
the webpage feature vector generation submodule is used for matching the keyword features, and/or the webpage object features, and/or the URL features of the webpage with a preset feature vector list to generate feature vectors of the webpage;
and the webpage feature vector determining submodule is used for taking the generated feature vector of the webpage as the attribute feature of the webpage.
In a preferred embodiment of the present invention, the calculation module is further configured to:
and calculating the cosine similarity between the feature vector of the webpage and the feature vector of each folder.
In a preferred embodiment of the present invention, the apparatus further comprises:
and the folder attribute feature updating module is used for updating the attribute features of the target folder according to the attribute features of the web page after the web page is added to the target folder.
In a preferred embodiment of the present invention, the apparatus further comprises:
and the judging module is used for newly building a folder in the webpage favorite and naming the newly-built folder by using the attribute characteristics of the webpage to be added when the similarity between the attribute characteristics of the webpage and the attribute characteristics of one or more folders in the webpage favorite is smaller than the preset similarity.
Referring to fig. 4, a block diagram of a second embodiment of the apparatus for adding a web page to a favorite according to the present invention is shown.
The device may specifically include the following modules:
a folder creation module 401, configured to create a new folder in the web page favorites and name the new folder;
a sending module 402, configured to obtain, by a server, a name of the new folder; the server is used for matching the name of the newly-built folder with the names of folders uploaded by other users, taking the folder with the highest matching degree as a matched folder, and acquiring the attribute characteristics of the matched folder;
an attribute feature receiving module 403, configured to receive an attribute feature of the matching folder returned by the server;
an attribute feature determining module 404, configured to use the attribute feature of the matched folder as the attribute feature of the new folder.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
FIG. 5 is a block diagram illustrating an apparatus 500 for adding web pages to favorites according to an exemplary embodiment. For example, the apparatus 500 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.
Referring to fig. 5, the apparatus 500 may include one or more of the following components: processing component 502, memory 504, power component 506, multimedia component 508, audio component 510, input/output (I/O) interface 512, sensor component 514, and communication component 516.
The processing component 502 generally controls overall operation of the device 500, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing elements 502 may include one or more processors 520 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 502 can include one or more modules that facilitate interaction between the processing component 502 and other components. For example, the processing component 502 can include a multimedia module to facilitate interaction between the multimedia component 508 and the processing component 502.
The memory 504 is configured to store various types of data to support operation at the device 500. Examples of such data include instructions for any application or method operating on device 500, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 504 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power supply component 506 provides power to the various components of the device 500. The power components 506 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the apparatus 500.
The multimedia component 508 includes a screen that provides an output interface between the device 500 and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 508 includes a front facing camera and/or a rear facing camera. The front-facing camera and/or the rear-facing camera may receive external multimedia data when the device 500 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 510 is configured to output and/or input audio signals. For example, audio component 510 includes a Microphone (MIC) configured to receive external audio signals when apparatus 500 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 504 or transmitted via the communication component 516. In some embodiments, audio component 510 further includes a speaker for outputting audio signals.
The I/O interface 512 provides an interface between the processing component 502 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 514 includes one or more sensors for providing various aspects of status assessment for the device 500. For example, the sensor assembly 514 may detect an open/closed state of the device 500, the relative positioning of the components, such as a display and keypad of the apparatus 500, the sensor assembly 514 may also detect a change in the position of the apparatus 500 or a component of the apparatus 500, the presence or absence of user contact with the apparatus 500, orientation or acceleration/deceleration of the apparatus 500, and a change in the temperature of the apparatus 500. The sensor assembly 514 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 514 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 514 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 516 is configured to facilitate communication between the apparatus 500 and other devices in a wired or wireless manner. The apparatus 500 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 516 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 516 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 500 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer-readable storage medium comprising instructions, such as the memory 504 comprising instructions, executable by the processor 520 of the apparatus 500 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
A non-transitory computer readable storage medium having instructions therein which, when executed by a processor of a mobile terminal, enable the mobile terminal to perform a method of web page collection, the method comprising:
extracting attribute features of the webpage based on the webpage to be added to the webpage favorite; the webpage collecting clamp is provided with one or more folders;
acquiring attribute characteristics of one or more folders in a webpage favorite;
matching the attribute characteristics of the webpage with the attribute characteristics of one or more folders in the webpage favorite;
determining a folder with the highest matching degree as a target folder;
and adding the webpage to the target folder.
A non-transitory computer readable storage medium having instructions therein which, when executed by a processor of a mobile terminal, enable the mobile terminal to perform a method of web page collection, the method further comprising:
newly building a folder in the webpage favorite, and naming the newly built folder;
sending the name of the newly-built folder to a server, wherein the server is used for matching the name of the newly-built folder with names of folders uploaded by other users, determining the folder with the highest matching degree as a matched folder, and acquiring the attribute characteristics of the matched folder;
receiving attribute characteristics of the matched folder returned by the server;
and taking the attribute characteristics of the matched folder as the attribute characteristics of the new folder.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The method for adding the web page to the favorite and the device for adding the web page to the favorite provided by the invention are described in detail, specific examples are applied in the method for adding the web page to the favorite to explain the principle and the implementation mode of the invention, and the description of the above embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A method of adding a web page to a favorite, the favorite comprising at least one folder, the method comprising:
acquiring attribute characteristics of the folder; the attribute features of the folders are the attribute features of the matched folders with the highest matching degree returned by the server after the names of the folders are matched with the names of the folders uploaded by other users by the server;
acquiring attribute characteristics of the webpage;
calculating the similarity between the attribute characteristics of the webpage and the attribute characteristics of each folder in the favorites;
taking the folder with the highest similarity and no less than a preset similarity threshold value as a target folder;
adding the webpage to the target folder;
each folder in the favorites comprises at least one favorite webpage;
the step of obtaining the attribute characteristics of the folder comprises the following steps:
acquiring a folder name, and keyword characteristics, webpage object characteristics and URL characteristics of each webpage in the folder;
generating a feature vector of the folder according to the name of the folder and the dimensions of the keyword feature, the webpage object feature and the URL feature of each webpage in the folder;
and taking the feature vector as the attribute feature of the folder.
2. The method of claim 1, wherein the step of obtaining the attribute characteristics of the web page comprises:
acquiring keyword features, webpage object features and URL features of the webpage;
matching the keyword features, the webpage object features and the URL features of the webpage with a preset feature vector list to generate feature vectors of the webpage;
and taking the generated feature vector of the webpage as the attribute feature of the webpage.
3. The method of claim 2, wherein the step of calculating the similarity between the attribute features of the web page and the attribute features of the folders in the favorite comprises:
and calculating the cosine similarity between the feature vector of the webpage and the feature vector of each folder.
4. The method of claim 1, wherein the property characteristic of the target folder is updated according to the property characteristic of the web page after the web page is added to the target folder.
5. The method of claim 1, further comprising: and when the similarity between the attribute characteristics of the webpage and the attribute characteristics of one or more folders in the webpage favorite is smaller than the preset similarity, newly building the folder in the webpage favorite, and naming the newly-built folder by using the attribute characteristics of the webpage to be added.
6. An apparatus for adding a web page to a favorite, the favorite comprising at least one folder, the apparatus comprising:
the folder attribute feature acquisition module is used for acquiring the attribute features of the folders; the attribute features of the folders are the attribute features of the matched folders with the highest matching degree returned by the server after the names of the folders are matched with the names of the folders uploaded by other users by the server;
the webpage attribute feature acquisition module is used for acquiring the attribute features of the webpage;
the calculation module is used for calculating the similarity between the attribute characteristics of the webpage and the attribute characteristics of each folder in the favorites;
the determining module is used for taking the folder with the highest similarity and not less than a preset similarity threshold value as a target folder;
the webpage adding module is used for adding the webpage into the target folder;
each folder in the favorites comprises at least one favorite webpage; the folder attribute feature acquisition module comprises:
the folder feature acquisition submodule is used for acquiring the name of the folder and the keyword feature, the webpage object feature and the URL feature of each webpage in the folder;
the folder feature vector generation submodule is used for generating a feature vector of the folder according to the folder name and the dimensions of the keyword feature, the webpage object feature and the URL feature of each webpage in the folder;
and the folder attribute characteristic determining submodule is used for taking the feature vector as the attribute characteristic of the folder.
7. The apparatus of claim 6, wherein the web page property feature obtaining module comprises:
the webpage sub-feature acquisition sub-module is used for acquiring the keyword feature, the webpage object feature and the URL feature of the webpage;
the webpage feature vector generation submodule is used for matching the keyword features, the webpage object features and the URL features of the webpage with a preset feature vector list to generate feature vectors of the webpage;
and the webpage feature vector determining submodule is used for taking the generated feature vector of the webpage as the attribute feature of the webpage.
8. The apparatus of claim 7, wherein the computing module is further configured to:
and calculating the cosine similarity between the feature vector of the webpage and the feature vector of each folder.
9. The apparatus of claim 6, further comprising:
and the folder attribute feature updating module is used for updating the attribute features of the target folder according to the attribute features of the web page after the web page is added to the target folder.
10. The apparatus of claim 6, further comprising:
and the judging module is used for newly building a folder in the webpage favorite and naming the newly-built folder by using the attribute characteristics of the webpage to be added when the similarity between the attribute characteristics of the webpage and the attribute characteristics of one or more folders in the webpage favorite is smaller than the preset similarity.
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| CN111651298A (en) * | 2020-05-22 | 2020-09-11 | 泰康保险集团股份有限公司 | Webpage information backup method, device, equipment and medium |
| CN114579006A (en) * | 2020-11-30 | 2022-06-03 | 花瓣云科技有限公司 | Application classification method, electronic equipment and chip system |
| CN113655944A (en) * | 2021-07-22 | 2021-11-16 | 北京搜狗科技发展有限公司 | Favorite processing method, device and medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102298614A (en) * | 2011-07-29 | 2011-12-28 | 百度在线网络技术（北京）有限公司 | Method for determining collection category of page collection information and device and equipment |
| CN102486791A (en) * | 2010-12-06 | 2012-06-06 | 腾讯科技（深圳）有限公司 | Method and server for intelligently classifying bookmarks |
| CN102722322A (en) * | 2012-05-22 | 2012-10-10 | 百度在线网络技术（北京）有限公司 | Method and equipment for storing page object |
| CN102789492A (en) * | 2012-07-05 | 2012-11-21 | 天津三星通信技术研究有限公司 | File mobility management method and device |
| CN102799610A (en) * | 2012-06-01 | 2012-11-28 | 北京奇乐客科技有限公司 | Method and system for collecting network information |
| CN103324669A (en) * | 2013-05-20 | 2013-09-25 | 北京奇虎科技有限公司 | Method and client for processing web page bookmark |
| CN105824862A (en) * | 2015-10-20 | 2016-08-03 | 维沃移动通信有限公司 | Image classification method based on electronic equipment and electronic equipment |
| CN106021383A (en) * | 2016-05-11 | 2016-10-12 | 乐视控股（北京）有限公司 | Method and device for computing similarity of webpages |
| CN106293650A (en) * | 2015-05-18 | 2017-01-04 | 阿里巴巴集团控股有限公司 | A kind of folder attribute method to set up and device |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100424694C (en) * | 2005-08-11 | 2008-10-08 | 腾讯科技（深圳）有限公司 | Implementing method of network profile |
| US20080168340A1 (en) * | 2007-01-05 | 2008-07-10 | International Business Machines Corporation | Method of Efficiently Managing File Location Awareness for Client Applications |
| CN102737121A (en) * | 2012-06-01 | 2012-10-17 | 北京奇乐客科技有限公司 | Webpage collection method, client side and server of cloud platform |
| CN104573005A (en) * | 2015-01-07 | 2015-04-29 | 魅族科技（中国）有限公司 | Generation method and system for folder property |
-
2017
- 2017-05-24 CN CN201710375394.2A patent/CN108959316B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102486791A (en) * | 2010-12-06 | 2012-06-06 | 腾讯科技（深圳）有限公司 | Method and server for intelligently classifying bookmarks |
| CN102298614A (en) * | 2011-07-29 | 2011-12-28 | 百度在线网络技术（北京）有限公司 | Method for determining collection category of page collection information and device and equipment |
| CN102722322A (en) * | 2012-05-22 | 2012-10-10 | 百度在线网络技术（北京）有限公司 | Method and equipment for storing page object |
| CN102799610A (en) * | 2012-06-01 | 2012-11-28 | 北京奇乐客科技有限公司 | Method and system for collecting network information |
| CN102789492A (en) * | 2012-07-05 | 2012-11-21 | 天津三星通信技术研究有限公司 | File mobility management method and device |
| CN103324669A (en) * | 2013-05-20 | 2013-09-25 | 北京奇虎科技有限公司 | Method and client for processing web page bookmark |
| CN106293650A (en) * | 2015-05-18 | 2017-01-04 | 阿里巴巴集团控股有限公司 | A kind of folder attribute method to set up and device |
| CN105824862A (en) * | 2015-10-20 | 2016-08-03 | 维沃移动通信有限公司 | Image classification method based on electronic equipment and electronic equipment |
| CN106021383A (en) * | 2016-05-11 | 2016-10-12 | 乐视控股（北京）有限公司 | Method and device for computing similarity of webpages |
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|---|---|
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