This application is a national stage application under 35 U.S.C. §371 of PCT/CN2011/001774, filed Oct. 25, 2011.
A displayed web page, e.g. as accessed by an Internet browser, typically includes objects in addition to informative content of interest. Such additional objects may include, for example, screen controls (e.g. buttons), menus, links to other pages or sites, and advertising.
A user or application may wish to create a printed hardcopy of content of the page.
The subject matter regarded as the invention is particularly pointed out and distinctly claimed in the concluding portion of the specification. The invention, however, both as to organization and method of operation, together with objects, features and advantages thereof, may best be understood by reference to the following detailed description when read with the accompanied drawings in which:
In accordance with an embodiment of the invention, material on a web page (or similar document that is accessible via a network such as the World Wide Web) may be automatically selected for printing based on analysis of material that was selected by previous users.
For example, a server or other computer that is associated with a plurality of web pages may maintain a print log (e.g. in the form of a database or record) of recorded print requests from those web pages. A recorded print request may include a record of objects on the web page that were selected for printing. When a request to print a current web page is received, the print log may be searched to identify records of similar web pages that had been previously printed (or regarding which user print requests had been submitted) by one or more users. For example, similarity may be determined by structure of the web pages. Thus, web pages in the print log may be considered to be similar when they are generated using similar web page templates.
One or more of the identified records may include a specification of objects the similar web pages that had been selected for printing. For example, a user who had previously submitted a print request may have used an object selection application to select individual objects from the web page for printing. Other objects on the web page may have been excluded from selection.
The identified records may then be analyzed to synthesize the print log data into a representative set of user-selected (or otherwise selected) objects. For example, an analysis may yield a set of objects in the identified records that were most frequently selected for printing. A recommended selection of objects of the current web page may be based on the representative set. The recommended selection of objects of the current web page that corresponds to the representative set of objects may then be automatically selected as an initial or recommended selection for printing.
The automatically selected objects may be distinguished from excluded objects on a display of the current web page. For example, automatically selected objects (and manually selected objects as described below) may be surrounded by a distinguishing border, or may be displayed on a background that is different from a background of excluded objects (e.g. white versus gray, or other color or shading combinations).
In an example of automatic selection of web page objects, a user may be given the opportunity to modify the automatic selection. For example, using an object selection module or application, the user may choose to include additional objects or exclude one or more automatically selected objects.
For example, a web page may include objects that contain informative content which a user may wish to obtain or retain in printed form (e.g. informative text and images), plus additional content that is not informative (e.g. screen controls), or that is informative only within the context of an interactive display (e.g. links or expandable icons). In this case, in order to retain the informative content in compact form, or in order to limit use of paper or printer ink, the user may wish to limit the printing to the informative content only. Thus, automatic selection of web page objects for printing may on the one hand, avoid printing of non-informative content, and on the other hand, reduce the amount of time and effort expended by the user in manually selecting objects for printing.
Processor 12 may communicate with data storage device 14. For example, data storage device 14 may represent one or more fixed or removable data storage devices that are capable of storing data. Data storage device 14 may be configured to store print log 16. Data storage device 14 may be used to store programming instructions for, and parameters or other data for use in operation of processor 12 or another processor that may communicate with processor 12 via network 20, e.g. client 22.
Processor 12 may communicate with memory device 14. For example, memory device 14 may include one or more memory devices that may be used for storing data as part of operation of processor 12, e.g. a random access memory (RAM) device. For example, memory device 14 may be used to store programming instructions for operation of, or data that is generated during operation of, processor 12.
A client 22 may communicate with web page object selection system 10 via network 20. For example, client 22 may include a computer or a processor with associated memory and data storage devices. Client 22 may include, or be associated with, one or more data output devices 32, e.g. a display screen or audio output device, that enable communication of information to a user that is operating client 22. Client 22 may include input devices 34, e.g. a keyboard or other touch-sensitive device, a pointing device, or an audio or video input device. A user may operate an input device 34 in order to enter instructions or information to a processor or memory device of client 22. For example, a user operating an input device 34 may navigate (e.g. connect) via network 20 to a network accessible site or web page, such as web page 26. Navigation to web page 26 may cause a representation of web page 26 to be displayed, e.g. on a data output device 32. A user operating an input device 34 may initiate a request to print all or part of web page 26, and may indicate objects of web page 26 that are to be included or excluded for printing.
Client 22 may communicate with a printing device, such as printer 24. For example, client 22 may send a representation of an image, such as of all or part of web page 26, to printer 24 for printing.
Web page 26 may include one or more informative content objects 28, and one or more non-informative content objects 30. In the absence of large contiguous blocks of similar or uniform material (e.g. when an informative content object 28 includes an article), or certain types of objects (e.g. screen button or scroll bar), there may not be reliable properties of informative content objects 28 or of non-informative content objects 30 that enable distinguishing between one and the other on the basis of the properties alone.
Selected objects may be saved in the print log in a manner that is based on a formal description of the web page. For example, a web page may be described or defined in terms of Hypertext Markup Language (HTML) elements, or by a corresponding Document Object Model (DOM) tree.
If a user selects an object of a web page for printing, the selection may be considered as selection of a node within the corresponding DOM tree. For example, the user may select an object by using web page object selection program, module, or application. In the case of the example of
Lj=URLAddress:XPath1,XPath2 . . . XPathw
where URLAddress represents the Uniform Resource Locator (URL) address of the web page, and each XPathi represents a representation of an object of the web page that had been selected for printing. A record may be added to the print log whenever a user has finalized a selection of web page objects for printing (e.g. when generating a print command, e.g. by selecting an appropriate screen control).
Records of the print log may be retrieved for the purpose of automatic selection of web page objects for printing.
Automatic web page object selection method 100 may be executed by a processor, e.g. by processor 12 of web page object selection system 10 (
Automatic web page object selection method 100 may be executed when a request to print a web page, e.g. a current web page P, is received or detected (block 110). For example, the request may have been issued by a user operating a computer or processor, or by an application being executed by a processor, such as client 22 (
Communication of the request may include sending a representation of current web page P that may be received. For example, a DOM tree, HTML, XPage, URL address, or other representation of web page P may be received.
Records of the print log that represent web pages that are similar to current web page P may be identified (block 120). For example, a print log {right arrow over (L)} may be represented as a set or collection of n print log records Li, e.g.
{right arrow over (L)}={L1, . . . ,Ln}.
The union of all the representations of selected objects in the print log {right arrow over (L)} may be written as:
X({right arrow over (L)})=X(L1)∪ . . . ∪X(Ln)={XPath1, . . . ,XPathn}
When a request to print a current web page P is detected by a web page object automatic selection system, device, or application, objects of current web page P may be compared to selected objects in records Lj of print log {right arrow over (L)}. Records Lj that represent web pages that are similar to current web page P may be identified.
For example, current web page P may be represented in the form of an m-dimensional vector {V1, . . . , Vm} based on comparison with union X({right arrow over (L)}). For example, a vector component Vi may be set to 1 if a DOM tree representation of P includes an object corresponding to XPathi, and to 0 otherwise. Similarly, each print log record Li of print log {right arrow over (L)} may be similarly represented by an m-dimensional vector. Thus, similarity of a print log record Li to current web page P may be determined by the distance between vector representations of print log record Li and current web page P in the m-dimensional vector space. For example, a predetermined number of print log records Li that are nearest to current web page P in the m-dimensional vector space may be identified. As another example, all print log records Li that are within a predetermined m-dimensional distance form current web page P may be identified. Two such criteria may be combined. For example, up to a predetermined number of print log records may be identified on condition that their m-dimensional distances meet a distance criterion. Print log records satisfying another nearness criterion may be identified.
Based on the selected object data of the identified print log records, one or more objects of the current web page may be selected for printing (block 130). The selection may be modified by a user prior to actual printing by a printer. For example, the identified print log records may be analyzed so as to determine which objects of current web page P a user (or automatic application) is likely to consider as worthy of printing.
For example, given a set of k identified print log records {L1, . . . , Lk}, with X(Li) representing the XPath expressions that are included in each print log record Li, a subset of s (a variable number of) print log records {Li1, . . . , Lis} (ij representing an index of the identified set of print log records from among those included in the subset) from among the set of identified print log records {L1, . . . , Lk} may be identified that maximizes the expression:
In the expression, maximizing the factor log s maximizes the number of selected print log records (thus increasing the statistical validity of the sample), while maximizing the factor
maximizes the degree of similarity among the selected objects that are represented in the selected subset of records (e.g. possibly at the expense of reducing m). An appropriate trade off between the two factors may yield a maximum value of the expression. For example, the number k may be small enough so as to enable evaluating the expression for all possible subsets of the k identified records (2k−1 combinations). Other methods may be used to identify print-worthy objects.
On the basis of the analysis of the identified print log records, objects of the current web page may be automatically selected as a recommendation for printing, e.g. by an application that runs on, or at least partially operates a client or user computer, e.g. the computer from which the print request originated. For example, if print-worthy objects were selected by selecting a subset of s identified print log records {Li1, . . . , Lis} as above, selected objects of the current web page may include those objects that correspond to the union of the selected objects in the selected subset of records. For example, the union of objects may be represented by
A list of the automatically select objects of the current web page may be communicated, e.g. via network 20 (
In accordance with an example of a method for automatic selection of web page objects for printing, communication between a client or other computer that submits a request to print a web page (hereinafter referred to as the client), and a server or other processor that retrieves and analyzes records with previously selected objects from a print log (hereinafter referred as the server), may take place in several stages. Such division of the communication into several stages may reduce the quantity of data that is communicated between the client and the server, and may reduce the number of records of the print log that are examined. In this manner, execution of the method may be expedited, reducing or eliminating delays in selecting objects (or recommending objects) for printing.
Thus, this example of a method for automatic selection of web page objects for printing may include a method to be executed by a server, and another method that is to be executed concurrently, and in a coordinated fashion, by a client.
Client method 300 may be executed by a client when submitting a request to print a web page, such as current web page P, to a server. Server method 200 may be executed by a server when receiving a request to print a web page from a client.
In submitting the request, the client may send the URL address of current web page P to the server (block 310). By sending the URL address of current web page P rather than a representation (e.g. DOM tree or other representation), the amount of data sent at this point by the client to the server, and thus the time required for the communication, may be substantially minimized. The server may receive the URL address (block 210).
The server may query the print log to retrieve all records that correspond to web pages with the same domain as the received URL (block 220). For example, if the received URL is from aaa.com, all records that correspond to web pages from aaa.com may be retrieved. For example, If the set of retrieved print logs is designated {right arrow over (L)}url, then the union of selected objects (e.g. in the form of XPath expressions) in set {right arrow over (L)}url may be designated X({right arrow over (L)}url).
The server may send the retrieved print log records to the client (block 230). For example, the union of objects X({right arrow over (L)}url) may be sent to the client. Limiting the sent retrieved objects to objects of pages within the domain of the received URL may significantly reduce the quantity of data that is communicated between the server and the client, and thus the time required for the communication. For example, the size of the union of objects X({right arrow over (L)}url) may be significantly smaller than the size of a DOM tree representation (or similar representation) of current web page P. In the event that the sized of the union of objects X({right arrow over (L)}url) is excessively large (e.g. containing more objects than a predetermined threshold number of objects, or more than a threshold number that is determined on the basis of some measurable condition, e.g. a data transfer rate) the number of sent objects may be reduced. For example, a frequency analysis may be performed such that objects that occur less frequently among the records of set {right arrow over (L)}url are not sent. The client may receive the retrieved print log records (block 320), e.g. the union of objects X({right arrow over (L)}url).
The client may compare the current web page to the selected objects of the retrieved print log records (block 330). For example, the client may generate a vector representation of the current web page in terms of the union of objects X({right arrow over (L)}url), as described above. The client may send the generated vector representation to the server (block 340). The server may receive the generated vector representation (block 240).
The server, on the basis of the received vector representation (or similar representation of a comparison of the current web page with the union of objects X({right arrow over (L)}url), may identify from the print log those records that correspond to similar web pages within the domain of the received URL (block 250). For example, the server may identify a predetermined number of records of the print log that correspond to web pages whose vector representations are closest to the vector representation of the current web page in a corresponding vector space. As another example, the server may identify all records of the print log that correspond to web pages whose vector representations are within a predefined distance in the vector space from the vector representation of the current web page.
Data from the identified most similar web page records may be analyzed by the server to identify a subset of the objects that are considered print-worthy (block 260). For example, selected objects in the various identified records may be synthesized to yield an identified set of print-worthy objects, e.g. as described above.
An indication of the identified print-worthy objects may be sent by the server to the client (block 270). For example, the client may have been sent previously the union of objects X({right arrow over (L)}url) (as in the operation that corresponds to block 230). Therefore at this point, only indexes (or other indicators) to the selected objects within the previously sent union of objects) X({right arrow over (L)}url) need be sent. By sending indexes to previously sent objects rather than a specification of the selected objects, the amount of data sent from the server to the client (as well as the time required for sending the data) may be reduced.
The client may receive the indicated objects, e.g. indexes that were sent (block 350). The client may select the indicated print-worthy objects (block 360). For example, the client may automatically select the identified print-worthy objects for printing, may indicate those objects the identified print-worthy objects (e.g. on a displayed representation of the current web page), may enable a user to include additional objects or exclude objects from a tentative or recommended selection of print-worthy objects, perform other actions, or a perform a combination of the above actions.
A server, or other computer or processor with access to the print log, may be configured to maintain an updated print log. For example, if a web page at a particular URL has changed, a corresponding record of the print log may no longer be completely valid (e.g. selected objects in the record may no longer correspond to existing objects of the web page). If the difference between the web page as it currently exists and the record is significant (e.g. more than a threshold number of differences) that record may be deleted from the print log.
For example, the server may periodically (e.g. in accordance with a predetermined schedule or in response to a predetermined set of conditions) check (“crawl”) a web site at URL address that is included in a record of the print log. If no web page exists at the URL address, the record that includes that URL address may be removed from the print log. If the web page exists, the record of the print log may include selected objects that no longer correspond to objects of the web page in its current state. If the number of the selected objects, or a fraction of the selected, that no longer correspond to objects of the web page exceeds a threshold, the record may be removed from the print log.
In accordance with an example of automatic selection of web page objects for printing, a computer program application stored in non-volatile memory or computer-readable medium (e.g., register memory, processor cache, RAM. ROM, hard drive, flash memory, CD ROM, magnetic media, etc.) may include code or executable instructions that when executed may instruct or cause a controller or processor to perform methods discussed herein, such as an example of a method for automatic selection of web page objects for printing.
The computer-readable medium may be a non-transitory computer-readable media including all forms and types of memory and all computer-readable media except for a transitory, propagating signal. In one implementation, external memory may be the non-volatile memory or computer-readable medium.
Filing Document | Filing Date | Country | Kind | 371c Date |
---|---|---|---|---|
PCT/CN2011/001774 | 10/25/2011 | WO | 00 | 4/21/2014 |
Publishing Document | Publishing Date | Country | Kind |
---|---|---|---|
WO2013/059958 | 5/2/2013 | WO | A |
Number | Name | Date | Kind |
---|---|---|---|
6029182 | Nehab et al. | Feb 2000 | A |
6230622 | Dilling | May 2001 | B1 |
6975419 | Staas et al. | Dec 2005 | B2 |
7065497 | Brewster et al. | Jun 2006 | B1 |
7225401 | Purvis | May 2007 | B2 |
7249319 | Payne et al. | Jul 2007 | B1 |
7290285 | McCurdy et al. | Oct 2007 | B2 |
7302423 | De Bellis | Nov 2007 | B2 |
7386791 | Jacobson | Jun 2008 | B2 |
7565350 | Fetterly et al. | Jul 2009 | B2 |
7617446 | Dutta | Nov 2009 | B2 |
7711747 | Renders et al. | May 2010 | B2 |
7720835 | Ward et al. | May 2010 | B2 |
7769751 | Wu et al. | Aug 2010 | B1 |
7861165 | Stevenson | Dec 2010 | B2 |
7996000 | Dubinko et al. | Aug 2011 | B1 |
8020090 | Chen et al. | Sep 2011 | B2 |
8046681 | Vydiswaran et al. | Oct 2011 | B2 |
8479092 | Pandey | Jul 2013 | B1 |
8593666 | Xiao | Nov 2013 | B2 |
8645369 | Poblete et al. | Feb 2014 | B2 |
8683379 | LuVogt et al. | Mar 2014 | B2 |
8713438 | Broniek et al. | Apr 2014 | B1 |
8745091 | McHenry et al. | Jun 2014 | B2 |
20020048037 | Carbone | Apr 2002 | A1 |
20020078045 | Dutta | Jun 2002 | A1 |
20020123988 | Dean et al. | Sep 2002 | A1 |
20030142801 | Pecht | Jul 2003 | A1 |
20030210424 | Sandfort et al. | Nov 2003 | A1 |
20040185882 | Gecht et al. | Sep 2004 | A1 |
20040249934 | Anderson | Dec 2004 | A1 |
20040252332 | McCoog et al. | Dec 2004 | A1 |
20050120311 | Thrall | Jun 2005 | A1 |
20050138065 | Ciriza | Jun 2005 | A1 |
20050154718 | Payne et al. | Jul 2005 | A1 |
20060033950 | Nakamura | Feb 2006 | A1 |
20060048004 | Kawashima | Mar 2006 | A1 |
20060048053 | Sembower et al. | Mar 2006 | A1 |
20060123114 | Aoki et al. | Jun 2006 | A1 |
20060125820 | Turcan et al. | Jun 2006 | A1 |
20060143286 | Aoki et al. | Jun 2006 | A1 |
20060167862 | Reisman | Jul 2006 | A1 |
20060173985 | Moore | Aug 2006 | A1 |
20060277482 | Hoffman et al. | Dec 2006 | A1 |
20070027932 | Thibeault | Feb 2007 | A1 |
20070047844 | Watanabe et al. | Mar 2007 | A1 |
20070070401 | Okamoto et al. | Mar 2007 | A1 |
20070103715 | Nakata | May 2007 | A1 |
20070130509 | Gombert et al. | Jun 2007 | A1 |
20070174298 | Tanimoto | Jul 2007 | A1 |
20070220411 | Hauser | Sep 2007 | A1 |
20070247664 | Yamamoto | Oct 2007 | A1 |
20080005250 | Oksum | Jan 2008 | A1 |
20080005651 | Grefenstette et al. | Jan 2008 | A1 |
20080030775 | Adachi et al. | Feb 2008 | A1 |
20080046459 | Hinohara | Feb 2008 | A1 |
20080068650 | Negoro | Mar 2008 | A1 |
20080089709 | Higashi | Apr 2008 | A1 |
20080097828 | Silverbrook et al. | Apr 2008 | A1 |
20080147514 | Shuster et al. | Jun 2008 | A1 |
20080307308 | Sullivan et al. | Dec 2008 | A1 |
20090002770 | Cavill et al. | Jan 2009 | A1 |
20090013071 | Matoba et al. | Jan 2009 | A1 |
20090030889 | Chatow et al. | Jan 2009 | A1 |
20090119260 | Chopra et al. | May 2009 | A1 |
20090171751 | Zhou et al. | Jul 2009 | A1 |
20090231609 | Chipchase et al. | Sep 2009 | A1 |
20090310168 | Kunioka et al. | Dec 2009 | A1 |
20090316198 | Takeuchi et al. | Dec 2009 | A1 |
20100030768 | Poblete et al. | Feb 2010 | A1 |
20100058204 | Wilson | Mar 2010 | A1 |
20100069116 | Silverbrook et al. | Mar 2010 | A1 |
20100145955 | McDonald et al. | Jun 2010 | A1 |
20100281351 | Mohammed | Nov 2010 | A1 |
20100328725 | Gaucas et al. | Dec 2010 | A1 |
20110040823 | Liu et al. | Feb 2011 | A1 |
20110078558 | Bao et al. | Mar 2011 | A1 |
20110194139 | Xiao et al. | Aug 2011 | A1 |
20110213894 | Silberstein et al. | Sep 2011 | A1 |
20110235088 | Luo | Sep 2011 | A1 |
20110292440 | Kotake | Dec 2011 | A1 |
20120011021 | Wang et al. | Jan 2012 | A1 |
20120062926 | Takada | Mar 2012 | A1 |
20120062935 | Kamath et al. | Mar 2012 | A1 |
20120212772 | Hwang et al. | Aug 2012 | A1 |
20120262754 | Hwang | Oct 2012 | A1 |
20130010333 | Anand et al. | Jan 2013 | A1 |
20130097102 | Revesz | Apr 2013 | A1 |
20130103461 | Bhatia | Apr 2013 | A1 |
20130185364 | Bhatia | Jul 2013 | A1 |
20130222843 | Ganesan et al. | Aug 2013 | A1 |
20140036303 | Vishwanath et al. | Feb 2014 | A1 |
20140057238 | Okamoto et al. | Feb 2014 | A1 |
20140122486 | Simard et al. | May 2014 | A1 |
20140136541 | Farahat et al. | May 2014 | A1 |
20140214632 | Garera et al. | Jul 2014 | A1 |
Number | Date | Country |
---|---|---|
1245928 | Mar 2000 | CN |
101169707 | Apr 2008 | CN |
101329687 | Dec 2008 | CN |
102073728 | May 2011 | CN |
102253937 | Nov 2011 | CN |
0986213 | Mar 2000 | EP |
2007257069 | Oct 2007 | JO |
WO-2013048428 | Apr 2013 | WO |
WO-2013159246 | Oct 2013 | WO |
Entry |
---|
International Preliminary Report on Patentability received for PCT Application No. PCT/CN2011/001774, Jan. 23, 2014, 5 pages. |
International Search Report and Written Opinion received for PCT Application No. PCT/CN2011/001774; Jun. 28, 2012, 10 pages. |
Lim. S. et al., Automatic Selection of Print-worthy Content for Enhanced Web Page Printing Experience, (Research Paper), Sep. 21-24, 2010. |
Pasternack, J, et al., Extracting Article Text From the Web with Maximum Subsequence Segmentation, (Research Paper), Apr. 20-24, 2009. |
Cai et al., “Block-level link analysis,” 2004, Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, 2004, pp. 440-447, <http://research-srv.microsoft.com/pubs/69111/22.pdf>. |
Cai et al., “VIPS: a vision-based page segmentation algorithm,” 2003, Microsoft Technical Report, MSR-TR-2003-79, <http://research.microsoft.com/pubs/70027/tr-2003-79.pdf> (29 pages). |
Chen, Y. et al., “Improve on Frequent Access Path Algorithm in Web Page Personalized Recommendation Model,” (Research Paper), 2011 International Conference on Information Science and Technology (ICIST), Mar. 2011, found at http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5765216 (4 pages). |
Formatdynamics, “Print or PDF with CleanPrint,” Sep. 29, 2014, found at https://chrome.google.com/webstore/detail/print-or-pdf-with-cleanpr/fklmmmdcofimkjmfjdnobmmgmefbapkf/details?hl=en-US (2 pages). |
Gupta et al., “DOM-based content extraction of HTML documents,” 2003, Proceedings of the 12th International conference on World Wide Web, 2003<http://academiccommons.columbia.edu/download/fedora—content/download/ac:110022/CONTENT/cucs-024-02.pdf> (10 pages). |
International Bureau, International Preliminary Report on Patentability, issued in PCT Application No. PCT/CN2012/000569, Nov. 4, 2014 (6 pages). |
International Searching Authority, International Search Report issued in PCT Application No. PCT/CN2012/000569, Feb. 7, 2013, 6 pages. |
Kim, S-M. et al., “Improving Web Page Classification by Label-propagation Over Click Graphs,” (Research Paper), Nov. 2-6, 2009, available at http://www.patrickpantel.com/download/papers/2009/cikm09c.pdf (10 pages). |
Luo, P. et al., “Web Article Extraction for Web Printing: a DOM+Visual based Approach,” 9th ACM Symposium on Document Engineering, 2009 (5 pages). |
Merrill, S., “Read any RSS feed on your Lexmark all-in-one printer,” (Web Page), Jul. 6, 2010, found at http://techcrunch.com/2010/07/06/read-any-rss-feed-on-your-lexmark-all-in-one-printer/ (6 pages). |
Printer-Friendly.com, “Printable web pages on the fly !”, (Web Page), Jun. 12, 2010 <http://web.archive.org/web/20100612144126/http://www.printer-friendly.com/2008011945/java/web2printer.html> (3 pages). |
Quora, “What are good examples of machine learning enhanced with human intervention in e-commerce?” 2011, found at http://www.quora.com/What-are-good-examples-of-machine-learning-enhanced-with-human-intervention-in-e-commerce (4 pages). |
Song et al., “Learning Block Importance Models for Web Pages,” May 17-22, 2004, Proceedings of the 13th international conference on World Wide Web 2004, <http://research.microsoft.com/en-us/people/jrwen/blockimportance.pdf> (9 pages). |
SPCURTIS81, “App Idea—Select Your Own RSS Feed for Scheduled Printing,” HP Support Forums, Jul. 26, 2012, found at http://h30434.www3.hp.com/t5/ePrint-Print-Apps-Mobile-Printing-and-ePrintCenter/App-Idea-Select-Your-Own-RSS-Feed-For-Scheduled-Printing/td-p/1700391 (2 pages). |
Tsukada, M. et al., “Automatic Web-Page Classification by Using Machine Learning Methods,” Web Intelligence: Research and Development, Springer Berlin Heidelberg, 2001, available at http://www.ar.sanken.osaka-u.ac.jp/papers/2006-12/wi01—tsukada.pdf (11 pages). |
Wikipedia, “Amazon Mechanical Turk,” Sep. 27, 2014, <http://en.wikipedia.org/wiki/Amazon—Mechanical—Turk> (7 pages). |
Wikipedia, “Delicious (website),” Jun. 4, 2012, found at http://web.archive.org/web/20120604165352/https://en.wikipedia.org/wiki/Delicious—(website) (9 pages). |
Wikipedia, “Google Bookmarks,” Mar. 7, 2012, found at http://web.archive.org/web/20120307041604/http://en.wikipedia.org/wiki/Google—Bookmarks (7 pages). |
Wikipedia, “Machine learning,” Mar. 25, 2012, <http://en.wikipedia.org/wiki/Machine—learning> (9 pages). |
Written Opinion received in PCT Application No. PCT/CN2012/000569, Feb. 7, 2013, 4 pages. |
Yi et al., “Web page cleaning for web mining through feature weighting,” 2003, Proceedings of the 18th international Joint Conference on Artificial Intelligence (IJCAI-03),<http://net.pku.edu.cn/˜webg/src/paradise/reference/html-purifier/2003-ijcai-Web%20Page%20Cleaning%20for%20Web%20Mining%20through%20Feature%20Weighting.pdf> (6 pages). |
Yu, B. et al., Abstract, “Video Summarization Based on User Log Enhanced Link Analysis,” (Research Paper), 11th ACM International Conference on Multimedia, 2003, found at http://dl.acm.org/citation.cfm?id=957013.957095&coll=DL&dl=GUIDE&CFID=89676494&CFTOKEN=29375123 (1 page). |
Hewlett-Packard Development Company, L.P., “HP Smart Print” (web page), available Apr. 24, 2011, <http://web.archive.org/web/20110424132923/http://h41112.www4.hp.com/bing—toolbar2/us/en/smart.html?jumpid=ex—r602—ww/en/hho/ipg/xx-mu-aw—chev/quickprint>. |
Luo et al., “Web Article Extraction for Web Printing: a DOM+Visual based Approach,” 9th ACM Symposium on Document Engineering, Aug. 21, 2009, <http://www.hpl.hp.com/techreports/2009/HPL-2009-185.pdf>. |
PrintWhatYouLike.com, “PrintWhatYouLike.com,” (web page), available Dec. 16, 2008, <http://web.archive.org/web/20081216060441/http://www.printwhatyoulike.com/>. |
Number | Date | Country | |
---|---|---|---|
20140233066 A1 | Aug 2014 | US |