Patent Application
20120054598
This application claims priority of Taiwan Patent Application No. 099128792 filed on Aug. 27, 2010, the entirety of which is incorporated by reference herein.
1. Field of the Invention
The disclosure generally relates to a method and a system for viewing a web page, and more particularly relates to a method and a system for automatically viewing a web page according to a URL (Uniform Resource Locator) or contents of the web page and according to a browsing setting.
2. Description of the Related Art
Recently, mobile devices, handheld devices in particularly, have become highly advanced and have more functions. For example, handheld devices may have functions for telecommunications, Internet access, e-mail access, advanced management of a list of addresses, or playing multimedia applications, etc. Due to convenience, these mobile devices are essential in human lives.
Nowadays, users often link to the Internet and view web pages via electronic devices. Generally speaking, some web sites have web pages in a fixed format. For example, a news web site may have all kinds of classifications, such as classifications for general news or financial news. Examples of the types of web sites may be forums, message boards, blogs, social networks, or news sites, etc.
Due to limited screen sizes of mobile devices, when viewing different web pages on mobile devices, users often need to change a zoom ratio or text reflow so as to read data in an appropriate form. It is well known that users may need to adjust the mobile device repeatedly so as to sustain good viewing page experience, which is inconvenient for users. For example, if a user wants to zoom in to news text of a web page, the viewer may be required to zoom in again once a different news text is viewed so as to sustain good viewing page experience, which is inconvenient for the user and takes a long time.
In one exemplary embodiment, the disclosure is directed to a method for viewing web pages, for an electronic device, comprising the steps of: obtaining a web page; analyzing a specific classification of the web page according to a URL (Uniform Resource Locator) or contents of the web page; retrieving a browsing setting of the specific classification from a style-template database, wherein the style-template database records at least the browsing setting of each of a plurality of classifications; and viewing the web page according to the browsing setting.
In another exemplary embodiment, the disclosure is directed to a system for viewing web pages, for an electronic device, comprising: a storage unit, comprising a style-template database, wherein the style-template database records at least one browsing setting of each of a plurality of classifications; and a processor, obtaining a web page, analyzing a specific classification of the web page according to a URL (Uniform Resource Locator) or contents of the web page, retrieving the browsing setting of the specific classification from the style-template database, and viewing the web page according to the browsing setting.
The invention can be more fully understood by reading the subsequent detailed description and examples with references made to the accompanying drawings, wherein:
The system 100 comprises a display unit 110, a storage unit 120, and a processor 130. The display unit is configured to display web pages, data, and/or images and interfaces. The storage unit 120 comprises a style-template database 121.
In step S310, a web page is obtained. It is noted that in some embodiments, the web page may be obtained from a web site via a network. In another embodiment, the web page may be stored in the storage unit 120 of the electronic device in advance. In step S320, a specific classification of the web page is analyzed according to a URL (Uniform Resource Locator) and/or contents of the web page (e.g., a DOM tree). It is noted that according to different demands and applications, the URL and the contents of the web page may be utilized for analyzing the specification classification of the web page independently or together. After the specific classification is obtained, in step S330, a browsing setting of the specific classification is retrieved from a style-template database. In step S340, the web page is viewed according to the browsing setting. It is noted that in some embodiments, the obtained browsing setting is utilized for setting a browser, which is utilized for viewing web pages. It is also noted that when a web page is viewed, the processor further makes a browsing adjustment of the web page and updates the browsing setting of the specific classification in the style-template database according to the browser adjustment. In another embodiment, if a user makes the browsing adjustment via the processor 130, the processor 130 may display a user interface through the display unit 110 so as to determine whether to update the browsing setting of the specific classification in the style-template database according to the browser adjustment. When the user confirms via the user interface, the browsing setting of the specific classification in the style-template database is updated according to the browser adjustment.
In step S410, a URL of a web page is compared with a pattern of each of a plurality of classifications so as to obtain one or more candidate classifications matching the URL. In step S420, a similarity analysis is performed to compare the URL of the web page with the pattern of each of the one or more candidate classifications so as to obtain a similarity. It is noted that in some embodiments, the URL is compared with the pattern according to a regular expression. In other words, the pattern of each of the plurality of classifications may be set as a regular expression, and whether the URL of the web page matches the regular expression of each of the plurality of classification is determined. In another embodiment, the similarity analysis can be performed according to a common prefix portion and the other different portions. In step S430, whether the similarity between the URL and the pattern of each of the one or more candidate classifications is greater than a first threshold value is determined. If not, in step S440, a default classification is selected as a specific classification of the webpage. In other words, the web page is viewed according to a default browsing setting. If so, in step S450, one of the one or more candidate classifications is selected as the specific classification of the web page, wherein the selected one has the highest similarity. It is noted that if there is only one similarity between the URL and the pattern of only one of the one or more candidate classifications is greater than the first threshold value, the only one candidate classification is directly selected as the specific classification.
In step S510, contents of a web page are obtained, such as a DOM tree. It is noted that the DOM tree is utilized for describing a structure of the web page. In some embodiments, the contents of the web page may be calculated so as to obtain the DOM tree. In another embodiment, the DOM tree of the web page may be obtained via a browser. In step S520, the DOM tree of the web page is compared with a DOM of each of a plurality of classifications so as to obtain one or more candidate classifications matching the DOM tree. It is noted that in some embodiments, the comparison between the DOM tree and the DOM may be made according to algorithms such as XML-Diff or HTML-Diff tools. In step S530, a similarity analysis is performed to compare the DOM tree with the DOM of each of the one or more candidate classifications so as to obtain a similarity. It is noted that in some embodiments, the foregoing similarity analysis may be performed according to a common sub-tree between the DOM tree and each DOM from a root node and according to a different left sub-tree between the DOM tree and each DOM. In step S540, whether the similarity is greater than a second threshold value is determined. If not, in step S550, a default classification is selected as a specific classification of the web page. In other words, the web page will be viewed according a default browsing setting. If so, in step S560, one of the one or more candidate classifications is selected as the specific classification, wherein the selected one has the highest similarity. If there is only one similarity between the DOM tree and the DOM of only one of the one or more candidate classifications is greater than the second threshold value, the only one candidate classification is directly selected as the specific classification.
In step S610, a web page is obtained and a URL of the web page is compared with a pattern of each of a plurality of classifications so as to obtain one or more first candidate classifications matching the URL. In step S620, a similarity analysis is performed to compare the URL of the web page with the pattern of each of the one or more first candidate classifications so as to obtain a first similarity. Similarly, in some embodiments, the URL is compared with the pattern according to a regular expression. In other words, the pattern of each of the plurality of classifications may be set as a regular expression, and whether the URL of the web page matches the regular expression of each of the plurality of classification is determined. In another embodiment, the similarity analysis can be performed according to a common prefix portion and the other different portions. In step S630, whether the first similarity is greater than a first threshold is determined. If not, in step S680, a default classification is selected as a specific classification of the web page. In other words, the web page is viewed according to a default browsing setting. If so, in step S640, a DOM tree of the web page is obtained. Similarly, the contents of the web page may be calculated so as to obtain the DOM tree. In another embodiment, the DOM tree of the web page may be obtained via a browser. In step S650, the DOM tree of the web page with a DOM of each of the one or more first candidate classifications is compared so as to obtain one or more second candidate classifications matching the DOM tree. Similarly, in some embodiments, the comparison between the DOM tree and the DOM may be made according to algorithms such as XML-Diff or HTML-Diff tools. In step S660, a similarity analysis is performed to compare the DOM tree with the DOM of each of the one or more second candidate classifications so as to obtain a second similarity. Similarly, in some embodiments, the foregoing similarity analysis may be performed according to a common sub-tree between the DOM tree and each DOM from a root node and according to a different left sub-tree between the DOM tree and each DOM. In step S670, whether the second similarity is greater than a second threshold value is determined. If not, in step S680, a default classification is selected as a specific classification of the web page. If so, in step S690, one of the one or more second candidate classifications is selected as the specific classification of the web page, wherein the selected one has the highest second similarity. Similarly, if there is only one second similarity between the DOM tree and the DOM of only one of the one or more second candidate classifications is greater than the second threshold value, the only one candidate classification is directly selected as the specific classification. It is noted that in some embodiments, if only one of the one or more first candidate classifications has the first similarity greater than the first threshold, the steps S640-S690 may be removed, and the only one first candidate classification is directly selected as the specific classification of the web page.
It is noted that the foregoing methods for determining whether the URL or the contents of the web page match the pattern or the DOM of each of the plurality of classifications are just examples of the invention. The invention is not limited to the examples. Furthermore, it is noted that the foregoing methods for calculating the similarity between the URL/contents of the web page and the pattern/DOM of each of the plurality of classifications are just examples of the invention. The invention is also not limited to the examples.
As a result, through the methods and systems of the invention for viewing web pages, a web page can be viewed according to a URL or contents of the web page and according to different browser settings, so a user does not need to perform operations repeatedly when viewing other similar web pages. This is more convenient and efficient, and reduces consumption of resources in a computer system.
Setting methods for display parameters, or certain aspects or portions thereof, may take the form of a program code (i.e., executable instructions) embodied in tangible media, such as floppy diskettes, CD-ROMS, hard drives, or any other machine-readable storage medium, wherein, when the program code is loaded into and executed by a machine, such as a computer, the machine thereby becomes an apparatus for practicing the methods. The methods may also be embodied in the form of a program code transmitted over some transmission medium, such as electrical wiring or cabling, through fiber optics, or via any other form of transmission, wherein, when the program code is received and loaded into and executed by a machine, such as a computer, the machine becomes an apparatus for practicing the disclosed methods. When implemented on a general-purpose processor, the program code combines with the processor to provide a unique apparatus that operates analogously to application specific logic circuits.
It will be apparent to those skilled in the art that various modifications and variations can be made in the invention. It is intended that the standard and examples be considered as exemplary only, with a true scope of the disclosed embodiments being indicated by the following claims and their equivalents.
| Number | Date | Country | Kind |
|---|---|---|---|
| 99128792 | Aug 2010 | TW | national |
