CN107153516B - Intelligent printing method and system - Google Patents
Intelligent printing method and system Download PDFInfo
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- CN107153516B CN107153516B CN201610124299.0A CN201610124299A CN107153516B CN 107153516 B CN107153516 B CN 107153516B CN 201610124299 A CN201610124299 A CN 201610124299A CN 107153516 B CN107153516 B CN 107153516B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/12—Digital output to print unit, e.g. line printer, chain printer
- G06F3/1201—Dedicated interfaces to print systems
- G06F3/1202—Dedicated interfaces to print systems specifically adapted to achieve a particular effect
- G06F3/1203—Improving or facilitating administration, e.g. print management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/12—Digital output to print unit, e.g. line printer, chain printer
- G06F3/1201—Dedicated interfaces to print systems
- G06F3/1223—Dedicated interfaces to print systems specifically adapted to use a particular technique
- G06F3/1237—Print job management
- G06F3/1259—Print job monitoring, e.g. job status
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/12—Digital output to print unit, e.g. line printer, chain printer
- G06F3/1201—Dedicated interfaces to print systems
- G06F3/1223—Dedicated interfaces to print systems specifically adapted to use a particular technique
- G06F3/1237—Print job management
- G06F3/1265—Printing by reference, e.g. retrieving document/image data for a job from a source mentioned in the job
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/12—Digital output to print unit, e.g. line printer, chain printer
- G06F3/1201—Dedicated interfaces to print systems
- G06F3/1278—Dedicated interfaces to print systems specifically adapted to adopt a particular infrastructure
- G06F3/1285—Remote printer device, e.g. being remote from client or server
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Abstract
The invention provides an intelligent printing method, which comprises the following steps: extracting a current keyword from a file name of a current file printed by a user; predicting potential keywords from the user's historical print data based on the current keyword; retrieving a potential document based on a set of keywords, the set of keywords including at least the current keyword and the potential keyword; and displaying the potential file on the printing device side for the user to refer to.
Description
Technical Field
The invention relates to the field of printing equipment, in particular to an intelligent printing method and a corresponding intelligent printing system.
Background
With the development and popularization of network technology and multimedia technology, the source ways for people to obtain useful information and print have also changed greatly. The core position of local text files and image files is gradually being replaced by network information, which has become a major source of print content for the public.
Although the current printers are equipped with higher hardware configuration and develop a powerful supporting software system, the fundamental change of the user printing content source is not realized, and the user is still required to search, make local files and transmit the local files to the printer for printing output through a network. That is, in the current network society of information explosion, the operation mode of data printing is changed from that a local file is firstly made according to local information and sent to a printer for printing, and then required information is downloaded from the network, downloaded to the local file and sent to the printer for printing and outputting. This operation increases the operation steps for the user to print desired contents and decreases the work efficiency.
Furthermore, depending on the printing habits of each user, in addition to the currently printed content, associated material that conforms to the printing habits of the user may be a potential printing requirement. In the current printing operation mode, the user is still required to go to the network to retrieve the associated material, then to make the print file again and print again, that is, the user repeatedly executes the retrieval of the associated print content, the making and printing operation of the print file is equal to the user print information acquisition, and the processing and printing operation flow is repeatedly executed.
Therefore, there is a need in the art for a more intelligent printing scheme to improve office efficiency.
Disclosure of Invention
The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later.
In order to solve the problems, an intelligent printing scheme is designed, and the intelligent printing scheme has functions of printing related content prediction, prompting and printing energy supply. The scheme predicts the potential printing requirements of the user based on the current printing files and the historical printing keywords of the user, searches the network files after the user confirms editing, displays the search results on a printing panel as the prompt information of the potential printing requirements, and sends the search results to the user according to the user selection to edit or directly print the selected network files. The user can reduce the repeated steps of associated content network retrieval, local file making, local file printing and the like, thereby greatly reducing the operation time of the user to improve the working efficiency of the user.
According to an aspect of the present invention, there is provided an intelligent printing method, including:
extracting a current keyword from a file name of a current file printed by a user;
predicting potential keywords from the user's historical print data based on the current keyword;
retrieving a potential document based on a set of keywords, the set of keywords including at least the current keyword and the potential keyword; and
and displaying the potential file on the printing equipment side for the user to refer to.
In one example, the user's historical print data includes a collection of print records, each print record including a print time associated with each print job and a keyword of a printed filename, the predicting potential keywords from the user's historical print data based on the current keyword includes:
searching all relevant printing records containing the current keyword from the printing record set aiming at each current keyword;
searching for a predetermined number of following print records following the associated print record in chronological order for each associated print record;
distributing weights to the keywords of the following printing records according to the time distance between each following printing record and the associated printing record followed by the following printing record;
accumulating the weights distributed to the keywords of each following printing record to obtain the accumulated weight of each keyword; and
and sequencing according to the accumulated weight of each keyword, wherein a plurality of keywords with the highest accumulated weight are used as the potential keywords.
In one example, the predetermined number of following print records is the following print record within a predetermined time period after the associated print record it follows.
In one example, the predetermined number of strips is 5 strips, and the predetermined period of time is 10 days.
In one example, the assigning weights to the keywords of each following print record according to how close each following print record is to the associated print record it follows includes:
for each associated print record, keywords of following print records that are closer in time thereto are assigned higher weights, and keywords of following print records that are farther in time therefrom are assigned lower weights.
In one example, the set of keywords further comprises:
and a plurality of keywords with the highest frequency of occurrence in the printing history information of the department where the user is located.
In one example, the method further comprises:
sequentially arranging the current keyword, the potential keyword and a plurality of keywords with highest occurrence frequency in the printing history information of the department where the user is; and
deleting repeated keywords after the arrangement sequence;
wherein the retrieving the potential documents based on the set of keywords comprises performing a retrieval in accordance with the resulting set of keywords.
In one example, the method further comprises:
receiving an editing instruction of a user on the obtained keyword set;
editing the obtained keyword set; and
a search is performed based on the edited set of keywords.
In one example, the editing operation includes at least one of changing a priority order of keywords in the resulting set of keywords, adding or deleting keywords.
In one example, the method further comprises:
and saving the current keyword of the file name of the current file, the printing time and the information of the department to which the user belongs as historical printing data of the user and the printing historical information of the department.
In one example, the step of extracting the current keyword, the step of predicting the potential keyword, and the step of retrieving the potential document are performed while printing the current document.
In one example, the method further comprises:
receiving a selection of the potential file by the user; and
the potential file selected by the user is printed.
In one example, the method further comprises:
extracting keywords of the file name of the printed potential file after the selected potential file is printed; and
and saving the keywords of the printed potential file, the printing time and the information of the department to which the user belongs as historical printing data of the user and printing historical information of the department.
In one example, the method further comprises:
receiving a selection of the potential file by the user; and
and sending the potential files selected by the user to the specified position.
According to another aspect of the present invention, there is provided an intelligent printing system comprising:
the keyword extraction module is used for extracting current keywords from the file name of a current file printed by a user;
a keyword prediction module for predicting potential keywords from the user's historical print data in the database based on the current keyword;
a retrieval module for retrieving a potential document based on a set of keywords, the set of keywords comprising at least the current keyword and the potential keyword; and
and the UI module is positioned at the printing equipment end and used for displaying the potential file for the reference of the user.
In one example, the user's historical print data includes a collection of print records, each print record including a print time associated with each print job and a keyword for a printed filename, the keyword prediction module including:
a searching module for searching all the associated printing records containing the current keyword from the printing record set aiming at each current keyword, and searching a preset number of following printing records following the associated printing records according to the time sequence aiming at each associated printing record;
the weight distribution and calculation module is used for distributing weights to the keywords of each following printing record according to the time distance between each following printing record and the associated printing record followed by the following printing record, and accumulating the weights distributed to the keywords of each following printing record to obtain the accumulated weight of each keyword; and
and the ranking module is used for ranking according to the accumulated weight of each keyword, and the keywords with the highest accumulated weight are used as the potential keywords.
In one example, the predetermined number of following print records is the following print record within a predetermined time period after the associated print record it follows.
In one example, the predetermined number of strips is 5 strips, and the predetermined period of time is 10 days.
In one example, the weight assignment and calculation module further assigns, for each associated print record, a higher weight to keywords of following print records that are closer in time thereto, and a lower weight to keywords of following print records that are further in time therefrom.
In one example, the set of keywords further comprises:
and a plurality of keywords with the highest frequency of occurrence in the printing history information of the department where the user is located.
In one example, the system further comprises:
an editing module for sequentially arranging the current keyword, the potential keyword and a plurality of keywords with highest frequency of occurrence in the printing history information of the department where the user is located, and deleting repeated keywords after the arrangement,
wherein the retrieval module performs retrieval according to the obtained keyword set.
In one example, the UI module is further configured to receive a user indication of editing of the resulting set of keywords, to cause the editing module to perform an editing operation on the resulting set of keywords,
wherein the search module performs a search based on the edited set of keywords.
In one example, the editing operation includes at least one of changing a priority order of keywords in the resulting set of keywords, adding or deleting keywords.
In one example, the current keyword of the file name of the current file, the printing time, the information of the department to which the user belongs are stored in the database as the history printing data of the user and the printing history information of the department.
In one example, the keyword extraction module, the keyword prediction module, and the retrieval module operate while the current document is printed.
In one example, the UI module is further configured to receive the user selection of the potential file,
wherein the intelligent printing system further comprises a printing module at the printing device end, the printing module printing the potential file selected by the user.
In one example, after printing the selected potential file, the keyword extraction module extracts a keyword of a file name of the printed potential file, and the keyword of the printed potential file, the printing time, the information of the department to which the user belongs are stored in the database as the historical printing data of the user and the printing historical information of the department.
In one example, the UI module is further configured to receive the user selection of the potential file,
wherein the intelligent printing system further comprises a communication module for sending the potential file selected by the user to the designated location.
Drawings
The above features and advantages of the present disclosure will be better understood upon reading the detailed description of embodiments of the disclosure in conjunction with the following drawings. In the drawings, components are not necessarily drawn to scale, and components having similar relative characteristics or features may have the same or similar reference numerals.
FIG. 1 is a block diagram illustrating an intelligent printing system in accordance with an aspect of the present invention;
FIG. 2 is a schematic diagram illustrating a user interface in accordance with an aspect of the present invention;
FIG. 3 is a schematic diagram illustrating a user interface in accordance with an aspect of the present invention; and
FIG. 4 is a flow chart illustrating a smart printing method in accordance with an aspect of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. It is noted that the aspects described below in connection with the figures and the specific embodiments are only exemplary and should not be construed as imposing any limitation on the scope of the present invention.
FIG. 1 is a block diagram illustrating an intelligent printing system 100 in accordance with an aspect of the present invention.
As shown in FIG. 1, the intelligent printing system 100 may include a UI module 110, a keyword extraction module 120, a keyword prediction module 130, a retrieval module 140, an editing module 150, a database 160, a printing module 170, and a communication module 180.
In practice, all the modules described above may be distributed, for example, the UI module 110 and the printing module 170 may be distributed on the printing device side, and the keyword extraction module 120, the keyword prediction module 130, the retrieval module 140, the editing module 150, the database 160, and the communication module 180 may be distributed on the server side, and the printing device side and the server side may communicate with each other.
Alternatively, all of the above modules of the intelligent printing system 100 are integrated on the printing device side, for example, in a printer. Alternatively, in addition to the UI module 110 and the printing module 170 being distributed on the printing device side, the keyword extraction module 120, the keyword prediction module 130, the retrieval module 140, the editing module 150, the database 160, and the communication module 180 may be distributed on any one of the printing device side or the server side.
As described above, the UI module 110 is disposed on the printing apparatus side, for example, in the form of an operation panel that is common on printers. The UI module 110 may display various information such as print settings to the user and receive various operations and settings of the user. The print module 170 may be used to print out a file selected for printing by the user.
In particular, the intelligent printing system 100 may include a keyword extraction module 120, a keyword prediction module 130, a retrieval module 140, and a database 160. As described above, these modules may be provided on the printing apparatus side, or may be provided on a separate server.
After the user prints a current document, the keyword extraction module 120 may be configured to extract a current keyword from the printed document name, where the extracted current keyword may be one or more keywords. In one example, the keyword extraction module 120 may employ a TextRank algorithm to extract keywords in the file name.
In the case where the keyword extraction module 120 is disposed on an independent server side, when a user prints a document through a terminal such as a computer, a tablet, a mobile phone, or a direct printing program, the printing device side sends the current print document name to the keyword extraction module 120 on the server side for the user to extract a keyword after receiving a print job.
Taking the file name of the printed file as JAVA Programming doc as an example, the extracted keywords are as follows: java, programming.
The database 160 stores therein the historical print data of the user. After extracting the current keywords, keyword prediction module 130 may predict potential keywords from the user's historical print data based on the current keywords. The potential keywords are keywords which are potentially interesting to the user, and the content which is potentially interesting to the user can be directly retrieved through the keywords.
The user's historical print data in the database 160 mainly includes a collection of print records about the user, each of which stores therein a print time for each print job and a keyword of a printed file name.
In an example, the keyword prediction module 130 may include a lookup module 132, a weight assignment and calculation module 134, and a ranking module 136.
For each current keyword, the lookup module 132 may lookup all print records from the set of print records that contain the current keyword. In the present invention, the print record containing the current keyword may be referred to as an associated print record.
For example, first, for the current keyword "Java", the search module 132 may search for the set of print records of the user, and search for all associated print records containing "Java", where the searched associated print records may be one or more.
For example, the lookup module 132 may find that a print record includes the keyword "Java" and the print time of the print record is 2015, 1 month, 15 days, 15 dots 06 minutes 03 seconds. In addition to this, other associated print records may also be found.
The lookup module may then lookup, for each associated print record, a predetermined number of following print records that follow the associated print record in chronological order. The predetermined number here may be 5, for example.
Still taking the above-mentioned related print record of 2015 year 1, 15 dots 06 minutes 03 seconds as an example, 5 print records following this related print record may be regarded as the following print record of the related print record.
Assume that these 5 following print records are:
13 o' clock 23 min 06 s on 1/16/2015, keywords: c + +;
09: 16 min 16 s at 1/18/2015, keyword: programming and designing;
18 o' clock 34 min 29 sec 1 month 21 day 2015, keyword: c #;
24 min 57 s at 10 o' clock on 23 d 1/2015, keywords: a framework, a programmer;
20 o' clock 04 min 11 sec, 24/2015, keyword: mode(s).
Similarly, similar to the above operation is performed for all the associated print records found by the current keyword "Java", and a corresponding predetermined number of following print records after each associated print record are found.
In one example, following print records within a predetermined time period, e.g., within 10 days, after each associated print record may be found. In this example, if the predetermined number of following print records is not reached within the predetermined period of time, only the following print records actually existing within the predetermined period of time are found.
The weight assignment and calculation module 134 may assign weights to keywords of each following print record according to how close each following print record is to the time of its associated print record that follows. For example, for each associated print record, a higher weight is assigned to a keyword of a following print record that is closer to the time thereof, and a lower weight is assigned to a keyword of a following print record that is further from the time thereof.
Taking the above-mentioned related print record following 15 o 'clock 06 min 03 sec at 1/15/2015 as an example, the weight assigned to the 5 keywords of the related print record is related to the time distance from the related print record, and the keywords of the related print record following the related print record (i.e., 15 o' clock 06 min 03 sec at 15/2015) having the closer time are, the higher the weight is, and the lower the weight is otherwise.
As a specific example, assuming that the predetermined number is J, the weight of the keyword of the first following print record may be J, the weight of the keyword of the second following print record may be J-1, and so on, and the weight of the keyword of the last following print record may be 1.
Taking the related print record of 15 dots 06 minutes 03 seconds at 15 days 1 month 15 in 2015 as an example, the weight assigned to each keyword following the print record is as follows:
C++：5
programming and designing: 4
C#：3
Framework, programmer: 2
Mode (2): 1
Weights are assigned in a similar manner to the keywords of all following print records of all associated print records of the current keyword "Java", and then weights are assigned to the keywords of all following print records of all associated print records of "programming".
Then, the weight distribution and calculation module 134 may accumulate the weights distributed to the keywords of the following print records to obtain the accumulated weight of each keyword. Since the keywords of each print record may be repeated, for a keyword, the weights assigned to the keyword in different following print records may be accumulated to obtain an accumulated weight for the keyword.
For example, if the following print record following another associated print record of the current keyword "Java" also includes C + +, then a weight may be assigned accordingly, or if the following print record following a certain associated print record of the current keyword "programming" also includes C + +, then C + + may be assigned a plurality of weights, and then all the weights assigned with respect to C + + are accumulated to obtain the accumulated weight of the keyword C + +.
The ranking module 136 may rank the keywords according to their cumulative weights, with the keywords with the highest cumulative weights as the potential keywords. For example, the top 10 keyword sets sorted from high to low according to weight values are { "C + +", "design and skill", "C #", "JS", "mode" … }, and these 10 keywords may be potential keywords.
The retrieval module 140 may retrieve the potential document based on a set of keywords that includes at least the current keyword and the predicted potential keyword. The retrieval module 140 may retrieve content that may be of interest to the user over the internet based on keywords in the set of keywords.
Preferably, the invention can also take the historical printing habit of the department where the user is located into consideration for content retrieval. For example, the keyword set for retrieval may further include several keywords that appear most frequently in the print history information in a recent certain period of time in the department where the user is located, such as "budget", "management", "mode". The print history information of the department in which the user is located is also stored in the database 160.
Specifically, the editing module 150 may sequentially arrange the current keyword, the potential keyword, and a plurality of keywords with the highest frequency of occurrence in the printing history information within a certain period of time of the department where the user is located, and delete the repeated keywords after the arrangement.
For example, taking the current keywords "Java" and "programming" as examples above, the resulting set of keywords might be:
{ "JAVA", "Programming", "C + +", "design and skill", "C #", "JS", "mode" … "," budget "," management "}
The set of keywords may be displayed to the user through the UI module 110 and user edits to the set of keywords may be received via the UI module 110. The retrieval module 140 may then perform a retrieval based on the edited set of keywords. In particular, the user may change the priority of keywords in the resulting set of keywords, add or delete keywords, and so forth.
Fig. 2 is a schematic diagram showing an interface of an operation panel on the printer device side, under which a user can edit a keyword set.
The keyword extraction module 120, the keyword prediction module 130, and the retrieval module 140 are operated while the current document is printed. That is, when a user is waiting for a print document to be printed, a keyword set can be obtained, thereby performing a search for a potential document.
In the present invention, after printing a current file, a current keyword of a file name of the current file, a printing time, and information of a department to which a user belongs are stored in the database 160 as historical printing data of the user and printing history information of the department.
After retrieving the potential files, UI module 110 may display the potential files for reference by the user. Fig. 3 is a schematic diagram showing an interface of an operation panel on the printer device side, under which interface display a user can select a potential file of interest, for example, print or send to a specified location.
Taking the above example as an example, a plurality of search results conforming to a specific file format may be searched based on the keyword set. For example, the specific file format may be { txt, doc, dox, html, xls, xlsx, ppt, pptx, pdf … }. The first 100 search result files thus searched are: { "JAVA programming dictionary", "JAVA design skill and experience share", "C + + programming thought (fourth edition)", and "JAVA programming language is imported to develop the classical learning knowledge system of actual combat" the super-guest college of academic "… }.
The top certain number of search results may be selected from these search results based on the constraint information such as printer type and panel size as potential documents to be displayed on the panel for reference by the user.
In one example, the user may wish to print one of the suggested underlying documents, and the print module 170 may immediately print that document. In this example, after printing the potential file, the keyword extraction module 120 also extracts a keyword of the file name of the printed potential file, and then the keyword of the printed potential file, the printing time, the information of the department to which the user belongs are saved in the database 160 as the historical printing data of the user and the printing history information of the department.
In another example, the communication module 180 may send a potential file to a specified location, such as a mailbox address, to which the user may wish to send the potential file after selecting the potential file. The mailbox address may also be stored in the database 160 as user information about the user.
FIG. 4 is a flow chart illustrating a smart printing method 400 in accordance with an aspect of the present invention. As shown in FIG. 4, the intelligent printing method 400 may include the steps of:
in step 401, a current keyword is extracted from the filename of a current file printed by a user.
At step 402, potential keywords are predicted from the user's historical print data based on the current keywords.
In the present invention, the user's historical print data includes a collection of print records, each print record including a print time associated with each print job and a keyword for a printed file name.
In particular, keyword prediction may first look up, for each current keyword, all associated print records from the collection of print records that contain the current keyword. Then, a predetermined number of following print records following the associated print record in chronological order are searched for each associated print record. Preferably, the predetermined number of following print records is a following print record within a predetermined time period after the associated print record it follows. For example, there may be 5 following print records for up to 10 days.
And distributing weights to the keywords of the following printing records according to the time distance between each following printing record and the associated printing record followed by the following printing record. For example, for each associated print record, keywords of following print records closer to the time thereof are assigned higher weights, and keywords of following print records farther from the time thereof are assigned lower weights.
Then, the weights assigned to the keywords of each following print record are accumulated to obtain the accumulated weight of each keyword. And finally, sequencing according to the accumulated weight of each keyword, wherein a plurality of keywords with the highest accumulated weight are used as potential keywords.
In step 403, the potential document is retrieved based on a set of keywords, the set of keywords including at least the current keyword and the potential keyword.
In one example, the keyword set may further include keywords that appear most frequently in the printing history information in a recent period of time in the department where the user is located.
In this example, the current keyword, the potential keyword, and the keywords with the highest frequency of occurrence in the print history information of the department where the user is located may be sequentially arranged, and then the repeated keywords after the arrangement may be deleted to obtain the keyword set.
Preferably, the user can edit the keyword set according to the requirement of the user, for example, changing the priority order of the keywords in the obtained keyword set, and adding or deleting the keywords. After receiving an edit instruction of the user on the obtained keyword set, performing an edit operation on the obtained keyword set, and then performing a search based on the edited keyword set.
Preferably, the steps of extracting the current keyword, predicting the potential keyword, and retrieving the potential document are performed while printing the current document to save time for the user.
After the current file is printed, the current keyword of the file name of the current file, the printing time and the information of the department to which the user belongs are also required to be stored as the historical printing data of the user and the printing historical information of the department.
At step 404, the potential file may be displayed on the printing device side for reference by the user.
The user may select the potential file displayed, for example, to print, or to send to a designated location. In the example of selective printing, after printing the selected potential file, a keyword of a file name of the printed potential file may be extracted, and the keyword of the printed potential file, the printing time, and the information of the department to which the user belongs may be saved as the historical printing data of the user and the printing history information of the department.
While, for purposes of simplicity of explanation, the methodologies are shown and described as a series of acts, it is to be understood and appreciated that the methodologies are not limited by the order of acts, as some acts may, in accordance with one or more embodiments, occur in different orders and/or concurrently with other acts from that shown and described herein or not shown and described herein, as would be understood by one skilled in the art.
Those of skill in the art would understand that information, signals, and data may be represented using any of a variety of different technologies and techniques. For example, data, instructions, commands, information, signals, bits (bits), symbols, and chips that may be referenced throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The various illustrative logical modules, and circuits described in connection with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.
If implemented in software as a computer program product, the functions described may be stored on or transmitted by a computer readable medium, including both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another.
The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (26)
1. An intelligent printing method, comprising:
automatically extracting current keywords from the file name of a current file printed by a user;
predicting potential keywords from the user's historical print data based on the current keywords;
retrieving a potential document based on a set of keywords, the set of keywords including at least the current keyword and the potential keyword, the potential document including a network document; and
displaying the potential file on a printing device side for the user to refer to; wherein
The user's historical print data comprises a collection of print records, each print record comprising a print time associated with each print job and a keyword of a printed filename, the predicting potential keywords from the user's historical print data based on the current keyword comprising:
searching all relevant printing records containing the current keyword from the printing record set aiming at each current keyword;
searching for a predetermined number of following print records following the associated print record in chronological order for each associated print record;
distributing weights to the keywords of the following printing records according to the time distance between each following printing record and the associated printing record followed by the following printing record;
accumulating the weights distributed to the keywords of each following printing record to obtain the accumulated weight of each keyword; and
and sequencing according to the accumulated weight of each keyword, wherein a plurality of keywords with the highest accumulated weight are used as the potential keywords.
2. The intelligent printing method according to claim 1, wherein the predetermined number of following print records is a following print record within a predetermined time period after the associated print record it follows.
3. The intelligent printing method according to claim 2, wherein the predetermined number of bars is 5 bars, and the predetermined period of time is 10 days.
4. The intelligent printing method of claim 1, wherein assigning weights to keywords of each following print record according to how close each following print record is to the time of its following associated print record comprises:
for each associated print record, keywords of following print records that are closer in time thereto are assigned higher weights, and keywords of following print records that are farther in time therefrom are assigned lower weights.
5. The intelligent printing method of claim 1, wherein the set of keywords further comprises:
and the keywords with the highest frequency appear in the printing history information of the department where the user is located.
6. The intelligent printing method of claim 5, further comprising:
sequentially arranging the current keywords, the potential keywords and a plurality of keywords with highest occurrence frequency in the printing history information of the department where the user is located; and
deleting repeated keywords after the arrangement sequence;
wherein said retrieving potential documents based on the set of keywords comprises performing a retrieval in accordance with the resulting set of keywords.
7. The intelligent printing method of claim 6, further comprising:
receiving an editing instruction of a user on the obtained keyword set;
editing the obtained keyword set; and
a search is performed based on the edited set of keywords.
8. The intelligent printing method of claim 7, wherein the editing operation comprises at least one of changing a priority of keywords in the resulting set of keywords, adding or deleting keywords.
9. The intelligent printing method of claim 1, further comprising:
and storing the current keyword of the file name of the current file, the printing time and the information of the department to which the user belongs as historical printing data of the user and the printing historical information of the department.
10. The intelligent printing method as claimed in claim 1, wherein the steps of extracting the current keyword, predicting the potential keyword, and retrieving the potential document are performed simultaneously with printing the current document.
11. The intelligent printing method of claim 1, further comprising:
receiving a selection of the potential file by the user; and
the potential file selected by the user is printed.
12. The intelligent printing method of claim 11, further comprising:
extracting keywords of the file name of the printed potential file after the selected potential file is printed; and
and storing the keywords, the printing time and the department information of the user as the historical printing data of the user and the printing historical information of the department of the printed potential file.
13. The intelligent printing method of claim 1, further comprising:
receiving a selection of the potential file by the user; and
and sending the potential files selected by the user to the specified position.
14. An intelligent printing system comprising:
the keyword extraction module is used for automatically extracting current keywords from the file name of a current file printed by a user;
a keyword prediction module for predicting potential keywords from the user's historical print data in a database based on the current keywords;
a retrieval module for retrieving a potential document based on a set of keywords, the set of keywords comprising at least the current keyword and the potential keyword, the potential document comprising a network document; and
the UI module is positioned at the printing equipment end and used for displaying the potential file for the reference of the user; wherein
The user's historical print data comprises a collection of print records, each print record including a print time associated with each print job and a keyword for a printed filename, the keyword prediction module comprising:
a searching module for searching all the associated printing records containing the current keyword from the printing record set aiming at each current keyword, and searching a preset number of following printing records following the associated printing records according to the time sequence aiming at each associated printing record;
the weight distribution and calculation module is used for distributing weights to the keywords of each following printing record according to the time distance between each following printing record and the associated printing record followed by the following printing record, and accumulating the weights distributed to the keywords of each following printing record to obtain the accumulated weight of each keyword; and
and the ranking module is used for ranking according to the accumulated weight of each keyword, and the keywords with the highest accumulated weight are used as the potential keywords.
15. The intelligent printing system according to claim 14, wherein the predetermined number of following print records is a following print record within a predetermined time period after the associated print record it follows.
16. The intelligent printing system according to claim 15, wherein the predetermined number of swaths is 5 swaths and the predetermined time period is 10 days.
17. The intelligent printing system according to claim 14, wherein the weight assignment and calculation module further assigns, for each associated print record, a higher weight to keywords of following print records that are closer in time thereto, and a lower weight to keywords of following print records that are farther in time therefrom.
18. The intelligent printing system of claim 14, wherein the set of keywords further comprises:
and the keywords with the highest frequency appear in the printing history information of the department where the user is located.
19. The intelligent printing system according to claim 18, further comprising:
an editing module for arranging the current keywords, the potential keywords and a plurality of keywords with highest frequency of occurrence in the printing history information of the department where the user is located in sequence, and deleting the repeated keywords after the arrangement,
and the retrieval module executes retrieval according to the obtained keyword set.
20. The intelligent printing system according to claim 19, wherein the UI module is further configured to receive a user's edit instruction for the resulting set of keywords, to cause the editing module to perform an editing operation on the resulting set of keywords,
wherein the retrieval module performs a retrieval based on the edited set of keywords.
21. The intelligent printing system according to claim 20, wherein the editing operation includes at least one of changing a priority of keywords in the resulting set of keywords, adding or deleting keywords.
22. The intelligent printing system according to claim 14, wherein a current keyword of a file name of the current file, a printing time, information of a department to which the user belongs are stored in the database as the user's history printing data and printing history information of a department.
23. The intelligent printing system according to claim 14, wherein the keyword extraction module, the keyword prediction module and the retrieval module operate simultaneously with the printing of the current document.
24. The intelligent printing system of claim 14, wherein the UI module is further configured to receive the user's selection of the potential file,
wherein the intelligent printing system further comprises a printing module at the printing device end, the printing module printing the potential file selected by the user.
25. The intelligent printing system according to claim 24, wherein after printing the selected potential file, the keyword extraction module extracts a keyword of a file name of the printed potential file, the keyword of the printed potential file, a printing time, information of a department to which the user belongs being saved in the database as the user's history printing data and the printing history information of the department.
26. The intelligent printing system of claim 14, wherein the UI module is further configured to receive the user's selection of the potential file,
wherein the intelligent printing system further comprises a communication module for sending the potential file selected by the user to the designated location.
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| CN108804553B (en) * | 2018-05-22 | 2020-09-15 | 珠海奔图电子有限公司 | Print document searching method and apparatus |
| CN113592661A (en) * | 2021-07-26 | 2021-11-02 | 上海摩莱信息科技有限公司 | Network-based insurance declaration system and method |
| CN114185500B (en) * | 2021-12-14 | 2024-04-02 | 深圳市润天智数字设备股份有限公司 | Control method and device for printing job |
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