CN104281896A - Information integrating system and information integrating method - Google Patents
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- CN104281896A CN104281896A CN201310271725.XA CN201310271725A CN104281896A CN 104281896 A CN104281896 A CN 104281896A CN 201310271725 A CN201310271725 A CN 201310271725A CN 104281896 A CN104281896 A CN 104281896A
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Abstract
The invention relates to an information integrating system and an information integrating method. The information integrating system comprises the components of: a first collecting part which is used for collecting a first context, wherein the first context represents the context which is related with an operation environment of an operated application and a current page; and a second collecting part which is used for collecting a second context, wherein the second context represents the context which is related with a currently used function of the application; at least one content generating part, wherein each content generating part is used for generating a corresponding recommended content according to at least one part of the first context and at least one part of the second context; and a content interpolating part which is used for interpolating the recommend content into the current page of the operated application, so as to realize integration of the current page and the recommended content.
Description
Technical field
The present invention relates to field of information processing, be specifically related to information integration system and information integrating method.
Background technology
In current enterprises, in order to support the decision-making flow process of enterprise and daily running, many enterprises apply the information be used in management enterprise.Along with the increase of the information in enterprise and number of applications, user is more and more difficult to the information of locating or finding in enterprise.In addition, multiple operation system or Content Management System has usually been run in current enterprise.
Therefore, an information handling system is needed to integrate relevant information, to provide the information of customization to user.
Summary of the invention
Provide hereinafter about brief overview of the present invention, to provide about the basic comprehension in some of the present invention.Should be appreciated that this general introduction is not summarize about exhaustive of the present invention.It is not that intention determines key of the present invention or pith, and nor is it intended to limit the scope of the present invention.Its object is only provide some concept in simplified form, in this, as the preorder in greater detail discussed after a while.
A fundamental purpose of the present invention is, provides a kind of information integration system and information integrating method.
According to an aspect of the present invention, provide a kind of information integration system, comprising: the first collection unit, for collecting the first context, the first context represents the context relevant with current page with the running environment of the application be just run; Second collection unit, for collecting the second context, the second context represent with application just by context that the function used is relevant; At least one content generating unit, each content generating unit is used for contextually generating corresponding content recommendation at least partially according to first contextual at least partially with the second; And content insertion section, for content recommendation being inserted the current page of the application be just run, to realize the integration of current page and content recommendation.
According to another aspect of the present invention, provide a kind of information integrating method, comprising: collect the first context, the first context represents the context relevant with current page with the running environment of the application be just run; Collect the second context, the second context represent with application just by context that the function used is relevant; Contextually corresponding content recommendation is generated at least partially respectively according to first contextual at least partially with the second; And content recommendation is inserted the current page of the application be just run, to realize the integration of current page and content recommendation.
In addition, embodiments of the invention additionally provide the computer program for realizing said method.
In addition, embodiments of the invention additionally provide the computer program of at least computer-readable medium form, it record the computer program code for realizing said method.
By below in conjunction with the detailed description of accompanying drawing to most preferred embodiment of the present invention, these and other advantage of the present invention will be more obvious.
Accompanying drawing explanation
Below with reference to the accompanying drawings illustrate embodiments of the invention, above and other objects, features and advantages of the present invention can be understood more easily.Parts in accompanying drawing are just in order to illustrate principle of the present invention.In the accompanying drawings, same or similar technical characteristic or parts will adopt same or similar Reference numeral to represent.
Fig. 1 is the block diagram of the exemplary configuration that information integration system according to an embodiment of the invention is shown.
Fig. 2 is the block diagram of the exemplary configuration of the information integration system illustrated according to another embodiment of the present invention.
Fig. 3 is the block diagram of the exemplary configuration of the information integration system illustrated according to still another embodiment of the invention.
Fig. 4 is the block diagram of the exemplary configuration of the information integration system illustrated according to one more embodiment of the present invention.
Fig. 5 is the figure of the specific implementation mode that information integration system is according to an embodiment of the invention shown.
Fig. 6 is the figure of the example that the current page that user is browsing is shown.
Fig. 7 is the figure of the example that the content that a content generating unit generates is shown.
Fig. 8 is the figure of another example that the current page that user is browsing is shown.
Fig. 9 is the figure of the example that the content that another content generating unit generates is shown.
Figure 10 is the process flow diagram of the process that information integrating method according to an embodiment of the invention is shown.
Figure 11 is the process flow diagram of the process of the information integrating method illustrated according to another embodiment of the invention.
Figure 12 is the structural drawing that the citing that may be used for the computing equipment implementing information integrating method of the present invention and system is shown.
Embodiment
With reference to the accompanying drawings embodiments of the invention are described.The element described in an accompanying drawing of the present invention or a kind of embodiment and feature can combine with the element shown in one or more other accompanying drawing or embodiment and feature.It should be noted that for purposes of clarity, accompanying drawing and eliminate expression and the description of unrelated to the invention, parts known to persons of ordinary skill in the art and process in illustrating.
Fig. 1 is the block diagram of the exemplary configuration that information integration system 100 according to an embodiment of the invention is shown.
As shown in Figure 1, information integration system 100 comprises the first collection unit 102, second collection unit 104, content generating unit 106a, 106b and 106c and content insertion section 108.In the following description, when there is no need to distinguish content generating unit 106a, 106b and 106c, then content generating unit 106 is referred to as.
First collection unit 102 is for collecting the first context.First context represents the context relevant with current page with the running environment of the application be just run.
When a user is using certain function of certain application (such as, system in enterprise) (normally by browsing a webpage), user normally to use this function in current context (that is, the first context).First context can be used for the content that help information integration system 100 recommends more personalized to user, that is, provide customized information.First context includes but not limited to the type of the browser for running application, the type performing the terminal of application, the network site at terminal place, the uniform resource locator of webpage at application place and the html source code of webpage.Except the contextual information that these often use, < title can also be used, the self-defining contextual information that value > is such, that is, describe personalized contextual paired title and value.
Self-defining < title, an example of value > is < employee ID, 203>.Self-defining < title, another example of value > is < hiring date, 2009>.But be readily appreciated that, these are only self-defining < titles, the example of value >, self-defining < title, value > is not limited thereto, and can be as required and definition title paired arbitrarily and value.
Below the first contextual example:
Browser: Chrome/22.0.1229.2
Device: Fujitsu SH772
IP：10.167.174.234
Position: 39.915051,116.491540
URL：http://10.167.173.27/plus/view.php?aid=1680
HTML source: <html> ... </html>
Customization title 1: value 1
Customization title 2: value 2
After collecting the first context, the first context is sent to content generating unit 106 by the first collection unit 102.
Second collection unit 104 is for collecting the second context.Second context represents the context relevant with the background of application.
In order to recommend content more accurately to user, introduce the concept of background context (that is, the second context).Second context be with user current application (such as, system in enterprise) of accessing just by details that the function used is relevant.Second context include but not limited to apply just by the title of the function that uses, description and frequency of utilization.In addition, the second context can also comprise the up-to-date information that can find from internet about this function, namely from the extend information of Internet resources.Such as, by searching for the key word relevant to this function on the internet, the up-to-date information relevant with this function can be searched.
Below the second contextual example:
Title: display contact list
Describe: the up-to-date contact list of system in the enterprise of display our company
Frequency of utilization: 98 times/day
What be new: contact list is the set being presented at the name on screen of instant messaging or e-mail program or game on line or mobile phone.Under different backgrounds, it has various trade mark and owner's title.……
After collecting the second context, the second context is sent to content generating unit 106 by the second collection unit 104.
Each content generating unit in content generating unit 106a, 106b and 106c is used for contextually generating corresponding content recommendation at least partially according to first contextual at least partially with the second.
Such as, content generating unit 106 can analyze the first context and the second context, thus the content recommendation that generation user may need.In the embodiment in figure 1, there are three content generating units, thus can generate three content recommendations.But be readily appreciated that, the number of content generating unit 106 is not limited to three, and can have more or less content generating unit.
In one embodiment of the invention, content generating unit 106 can be the Web service managed by IT keeper or other operation maintenance personnel.This situation is described in detail after a while with reference to Fig. 5.
In one embodiment of the invention, except the first context and the second context, content generating unit 106 can also generate content recommendation based on corporate intranet resource and/or outside network resource.In other words, content generating unit 106 simultaneously can generate content recommendation based on the first context and the second context and corporate intranet resource and/or outside network resource.This is because corporate intranet resource and outside network resource can extend information be originated further, to make generated content recommendation more abundant and more targeted.
In addition, content generating unit 106 also only can generate content recommendation based on one of the first context and the second context.In addition, each content generating unit can generate respective content recommendation based on the same part in the first context and the same part in the second context, or each content generating unit can generate respective content recommendation based on the different piece in the different piece in the first context and the second context.In other words, the content recommendation that content generating unit generates, depending on the first context and second is contextual while, also depends on the particular design of content generating unit.
After content generating unit 106 generating recommendations content, content recommendation is sent to content insertion section 108 by content generating unit 106.
The current page of the application be just run is inserted, to realize the integration of current page and content recommendation for content recommendation content generating unit 106a, 106b and 106c generated in content insertion section 108.Such as, content recommendation can be inserted into bottom the page, white space or other suitable regions.Like this, user just can direct browsing content generating unit 106 generates in the middle of current page content recommendation.Such as, content insertion section can be realized by using Javascript script, thus content recommendation is inserted in current page.
Visible, when under not only considering the first context but also consider the second contextual situation during generating recommendations content, content recommendation more targetedly will be generated.Especially in enterprise, when system, in Incumbent Firms under system architecture, more content can be recommended to user.Such as, when user use apply in an enterprise time, by use according to information integration system of the present invention, resource in other enterprises can be recommended user.Therefore, need not system architecture in existing enterprise be modified or be adjusted, in still can applying in existing enterprise, show other content recommendations, thus can be cost-saving and raise the efficiency.
Fig. 2 is the block diagram of the exemplary configuration of the information integration system 200 illustrated according to another embodiment of the present invention.
The difference of the information integration system 200 shown in Fig. 2 and the information integration system shown in Fig. 1 100 is, information integration system 200 also comprises confidence calculations portion 110a, 110b and 110c.
Confidence calculations portion 110a corresponds to content generating unit 106a, confidence calculations portion 110b and corresponds to content generating unit 106b, confidence calculations portion 110c corresponding to content generating unit 106c.In other words, confidence calculations portion 110a, 110b and 110c and content generating unit 106a, 106b and 106c have relation one to one.Each confidence calculations portion in confidence calculations portion 110a, 110b and 110c can according to first the degree of confidence of the content recommendation that at least partially contextual and/or the second contextual corresponding contents generating unit come at least partially in Computed-torque control generating unit 106a, 106b and 106c generates.Whether each degree of confidence can evaluate content recommendation that corresponding content generating unit generates accurately and whether targeted.By after a while with reference to the description that Fig. 6 to Fig. 9 carries out, this point will be understood better.
In one embodiment of the invention, at least one content generating unit and/or at least one confidence calculations portion can be designed according to the historical information of application.Such as, at least one content generating unit and/or at least one confidence calculations portion can be designed according to the access history of the browsing histories of each user, each application and other suitable historical informations.
After confidence calculations portion 110 calculates degree of confidence, can sort to degree of confidence, thus corresponding content generating unit or corresponding content recommendation are sorted, thus select content generating unit or the content recommendation of the high predetermined quantity of degree of confidence.Such as, by deleting too low degree of confidence, and remaining degree of confidence can be sorted, thus select content generating unit or the content recommendation of the high predetermined quantity of degree of confidence.
After selecting the high content generating unit of degree of confidence or content recommendation, the content recommendation that selected content generating unit can generate by content insertion section 108 or selected content recommendation insert current page.
By arranging confidence calculations portion 110 and utilize confidence calculations portion 110 to calculate degree of confidence in information integration system 200, content recommendation more targetedly can be selected, thus current page will be inserted by content recommendation more targetedly.Like this, can more effectively to user's content recommendation.
Fig. 3 is the block diagram of the exemplary configuration of the information integration system 300 illustrated according to still another embodiment of the invention.
The difference of the information integration system 300 shown in Fig. 3 and the information integration system shown in Fig. 2 200 is, information integration system 300 can also comprise default content generating unit 106d.
Particularly, information integration system 300 can comprise the first collection unit 102, second collection unit 104, content generating unit 106a, content generating unit 106b, content generating unit 106c, default content generating unit 106d, confidence calculations portion 110a, confidence calculations portion 110b, confidence calculations portion 110c and content insertion section 108.
Default content generating unit 106d can be configured to generate default recommendation content.Default recommendation content such as can comprise topical news, up-to-date bulletin and other suitable contents.
When for the other guide generating unit outside default content generating unit 106d (namely, content generating unit 106a, 106b and 106c) and the degree of confidence calculated all not higher than predetermined value time, the default recommendation content that default recommendation content generating unit 106d generates is inserted current page by content insertion section 108.
Can notice, default recommendation content generating unit 106d does not have corresponding confidence calculations portion, this is because need not calculate degree of confidence for default recommendation content generating unit 106d.
Like this, by relating to default recommendation content generating unit 106d in information integration system 300, if be selected without any content generating unit, the default recommendation content that default content generating unit 106d generates will be inserted into current page, thus, in any case information all can be had recommended to user.
Fig. 4 is the block diagram of the exemplary configuration of the information integration system 400 illustrated according to one more embodiment of the present invention.
The difference of the information integration system 400 shown in Fig. 4 and the information integration system shown in Fig. 1 100 is, information integration system 400 also comprises preferred content generating unit 106e and confidence calculations portion 110e.
Preferred content generating unit 106e is configured to generate preferred content.While the content that one or more content generating units of content insertion section 108 in insertion other guide generating unit generate, the preferred content that can be generated by preferred content generating unit 106e all the time inserts current page.
In the present embodiment, the degree of confidence by making the confidence calculations portion 110e corresponding with preferred content generating unit 106e calculate is set to constant high level realize.Namely, when the degree of confidence calculated when each confidence calculations portion 110 is sorted, the degree of confidence that confidence calculations portion 110e calculates will be come foremost all the time, thus the preferred content recommendation that preferred content generating unit 106e generates will insert current page in content insertion section 108 all the time.
In other embodiments, information integration system 400 can not comprise confidence calculations portion 110e.In this case, regardless of the first context and the second context, that is, regardless of the degree of confidence that each confidence calculations portion calculates, preferred content is inserted current page by content insertion section 108 all the time.
Preferred content can comprise weather forecast, have a holiday or vacation arrangement and other information all useful to most of user.
Fig. 5 is the figure of the specific implementation mode that information integration system is according to an embodiment of the invention shown.
Below will be described for system in enterprise.But be readily appreciated that, the invention is not restricted to system in enterprise, and can be other application arbitrarily.
In modern enterprise, system is normally disposed according to the mode of web application, and user is also general to be visited by web browser and uses system in these enterprises.
As shown in Figure 5, user passes through the current page of terminal (not shown) browse application.
In the example as shown in fig. 5, plug-in unit is recommended can be used to realize the first collection unit and content insertion section.Such as, this recommendation plug-in unit can be installed to the terminal running system in this enterprise, that is, the terminal used when user browses this page.Recommend plug-in unit to collect as the first collection unit and represent the context relevant with current page with the running environment of the application be just run, that is, the first context.
After collecting the first context, recommend plug-in unit, as the first collection unit, the first context is sent to recommendation server.
In addition, collect the second context by the second collection unit (not shown) from company information database and/or internet and the second context is sent to recommendation server.
In this implementation, < confidence calculations portion can be managed by recommendation server, content generating unit > couple.Such as, < confidence calculations portion, content generating unit > is to being stored in the recommending data storehouse of recommendation server.Such as, each record in this database all can record the RESTful address in confidence calculations portion, and the RESTful address of content generating unit.
Below < confidence calculations portion, the example that content generating unit > is right.
Confidence calculations portion: http://confidence_cal_server/server1
Content generating unit: http://content_gen_server/server1
Recommendation server can travel through all < confidence calculations portions managed by recommendation server, content generating unit > couple.Traversal process in, each confidence calculations portion in confidence calculations portion 1 to N can according to first at least partially contextual and/or the second contextual degree of confidence carrying out the content recommendation that the corresponding contents generating unit in Computed-torque control generating unit 1 to N generates at least partially.Such as, after recommendation server receives the first context and the second context, the first context and the second context are distributed to all confidence calculations portions in recommending data storehouse by recommendation server.Distribute the first context and the second context to mean to certain confidence calculations portion and call this web services corresponding to confidence calculations portion, and this web services can return a degree of confidence, this degree of confidence represents that content generating unit corresponding to use is to generate the confidence index of content recommendation, that is, whether each degree of confidence can evaluate content recommendation that corresponding content generating unit generates accurately and whether targeted.All confidence calculations portions all return degree of confidence.
Then, such as, by recommendation server, the degree of confidence calculated is sorted, and according to degree of confidence, content generating unit 1 to N is sorted, thus select the content generating unit that degree of confidence is high.
Below paired confidence calculations portion and some examples of content generating unit.The content recommendation how to generate according to degree of confidence chosen content generating unit or content generating unit is described with reference to Fig. 6 to Fig. 9 after a while.
Confidence calculations portion 1:
The frequency of the vocabulary " news " of degree of confidence=in the first context
Content generating unit 1:
In Company News search application, inquire about the vocabulary that frequency in the first context and the second context is the highest, and return news content
Confidence calculations portion 2:
Probability of occurrence (carrying out calculating probability based on known method) in degree of confidence=the first context
Content generating unit 2:
Be added with the calendar of the detected event be worth by default
Be added with the Map Services of the position of the value of the detected event of position by default
Confidence calculations portion 3:
Clicked the probability (carrying out calculating probability based on known method) of name by user in degree of confidence=the first context
Content generating unit 3:
The data relevant with clicked name
After selecting the high content generating unit of degree of confidence, the content recommendation that selected content generating unit generates will be supplied to recommendation plug-in unit by recommendation server.Recommend plug-in unit content recommendation to be inserted as content insertion section the current page that user browsing, the white space of such as current page or below, thus generate the current page with content recommendation.Visible, in the example depicted in fig. 5, recommend plug-in unit to realize the first collection unit and content insertion section simultaneously.In addition, preferably, this recommendation plug-in unit can be installed in terminal that user using.
In addition, although describe with reference to Fig. 5 and manage confidence calculations portion and content generating unit by recommendation server, and confidence calculations portion and content generating unit are implemented as web services, but be readily appreciated that, the form of confidence calculations portion and content generating unit is not limited thereto, and can be other suitable forms any.Such as, confidence calculations portion and content generating unit may be implemented as firmware.
The content recommendation how to generate according to degree of confidence chosen content generating unit or content generating unit is described hereinafter with reference to Fig. 6 to Fig. 9.
Fig. 6 is the figure of the example that the current page that user is browsing is shown.
As shown in Figure 6, occurred in the page browsed user " evening on Dec 29th, 2012 forgets annual meeting registration (the towering like a mountain peak product Long Tang in 2 layers, Wen Telai hotel) ".Therefore, the page shown in Fig. 6 presents event.Confidence calculations portion 2 calculates degree of confidence according to " probability of occurrence (carrying out calculating probability based on known method) in degree of confidence=the first context ".Therefore, the degree of confidence that confidence calculations portion 2 calculates can be high.As shown in Figure 7, corresponding content generating unit 2 generates " being added with the calendar of the detected event be worth by default; be added with the Map Services of the position of the value of the detected event of position by default ", wherein, calendar marked the date and title of forgetting annual meeting, map marked the position in Wen Telai hotel, and above map, show the photo in Wen Telai hotel.The content (content namely shown in Fig. 7) that content generating unit 2 can be generated inserts current page as shown in Figure 6.
Fig. 8 is the figure of another example that the current page that user is browsing is shown.
As shown in Figure 8, user checks contact method and the address of client Alex.Therefore, the probability that user clicks name is high, that is, the degree of confidence that calculates according to " being clicked the probability (carrying out calculating probability based on known method) of name in degree of confidence=the first context by user " of confidence calculations portion 3 is high.Corresponding content generating unit 3 generates and with the addition of the data relevant with clicked name Alex, namely about the more information of Alex.Fig. 9 shows the figure that content that content generating unit 3 generates is inserted into the below of current page.
Therefore, by arranging confidence calculations portion and utilize confidence calculations portion to calculate degree of confidence in information integration system, content recommendation more targetedly can be selected, thus current page will be inserted by content recommendation more targetedly.Like this, more effectively to user's content recommendation, thus more effectively customized information can be provided.
Describe above in the process of the information integration system in embodiment, obviously also disclose some process or methods.Hereinafter, the general introduction of these methods is provided when some details not repeating above to have discussed, but, it should be noted that, although be disclose these methods in the process of descriptor integration system, but these methods might not adopt these parts above-mentioned, or might not be performed by these parts.Such as, the embodiment of information integration system partially or fully can be realized with hardware and/or firmware, and information integrating method discussed below also can realize by the executable program of computing machine completely, although these methods also can adopt hardware and/or the firmware of information integration system.
Figure 10 is the process flow diagram of the process that information integrating method 1100 according to an embodiment of the invention is shown.
As indicated by 10, in step S1002, collect the first context, the first context represents the context relevant with current page with the running environment of the application be just run.Such as, first collection unit 102 that can describe by referring to Fig. 1 to Fig. 4 performs step S1002.
In step S1004, collect the second context, the second context represent with application just by context that the function used is relevant.Such as, second collection unit 104 that can describe by referring to Fig. 1 to Fig. 4 performs step S1004.
In step S1006, contextually generate corresponding content recommendation at least partially according to first contextual at least partially with the second respectively.Such as, the content generating unit 106 that can describe by referring to Fig. 1 to Fig. 4 performs step S1006.
Except the first context and the second context, content recommendation can also be generated based on corporate intranet resource and/or outside network resource in step S1006.In other words, simultaneously content recommendation can be generated based on the first context and the second context and corporate intranet resource and/or outside network resource.
In step S1008, content recommendation is inserted the current page of the application be just run, to realize the integration of current page and content recommendation.Such as, the content insertion section 108 that can describe referring to figs. 1 through Fig. 4 performs step S1008.
Figure 11 is the process flow diagram of the process of the information integrating method 1100 illustrated according to another embodiment of the invention.
Step S1102 shown in Figure 11, S1104, S1106 and S610 are identical respectively with the step S1002 shown in Figure 10, S1004, S1006 and S1008 respectively.Difference is only, information integrating method 1100 also comprises the step S1108 of the degree of confidence of calculated recommendation content.
As indicated at 11, in step S1102, collect the first context, the first context represents the context relevant with current page with the running environment of the application be just run.Such as, first collection unit 102 that can describe by referring to Fig. 1 to Fig. 4 performs step S1102.
In step S1104, collect the second context, the second context represent with application just by context that the function used is relevant.Such as, second collection unit 104 that can describe referring to figs. 1 through Fig. 4 performs step S1104.
In step S1106, contextually generate corresponding content recommendation at least partially according to first contextual at least partially with the second respectively.Such as, the content generating unit 106 that can describe referring to figs. 1 through Fig. 4 performs step S1106.
In step S1108, at least partially contextual and/or the second contextual degree of confidence calculating corresponding content recommendation at least partially according to first.Such as, the confidence calculations portion 110 that can describe with reference to Fig. 2 to Fig. 4 performs step S1108.
In step S1110, the content recommendation had higher than the degree of confidence of predetermined value is inserted current page, to realize the integration of current page and content recommendation.Such as, the content insertion section 108 that can describe referring to figs. 1 through Fig. 4 performs step S1110.
In one embodiment of the invention, the step (that is, step S1108) of the step (that is, step S1106) of generating recommendations content and the degree of confidence of calculated recommendation content can be designed according to the historical information of application.
In one embodiment of the invention, the step (step S1106) of generating recommendations content can comprise: generate default recommendation content, during with the degree of confidence of other content recommendations outside default recommendation content all not higher than predetermined value, default recommendation content is inserted current page.
In one embodiment of the invention, the step (step S1106) of generating recommendations content can comprise: generate preferred content to be inserted into current page all the time.
Preferably, the first context can comprise at least one item in the following: for running the type of the browser of application, the type performing the terminal of application, the network site at terminal place, the uniform resource locator of webpage, the html source code of webpage at application place and describing personalized contextual paired title and value.
Preferably, the second context can comprise at least one item in the following: application just by the title of the function that uses, description, frequency of utilization and the extend information from Internet resources.
In one embodiment of the invention, perform the contextual step of collection first (that is, step S1102) by the plug-in unit be installed in the terminal for running application and content recommendation inserted the step (that is, step S1110) of current page.
According to embodiments of the invention, accurate content can be recommended to user and contribute to user to find potential useful content.When certain user is browsing certain application (such as, kernel business system system) content time (normally by a webpage), by according to the current context of this user and background context to this user's content recommendation, user can be helped to browse to other useful content.By current context used in combination and the contextual method of background, the efficiency of efficiency that content provides and content discovery effectively can be improved.
For enterprise information management, in the middle of the information management concept of recommendation being incorporated into enterprise, when a user to access in enterprise certain apply the content produced time, more content recommendedly can give this user, wherein, in the middle of the enterprise content management system of recommended content from other, certainly also likely from the system outside enterprise.
In addition, by managing confidence calculations device and content generators in couples, recommendation mechanisms more flexibly can be realized.
Below ultimate principle of the present invention is described in conjunction with specific embodiments, but, it is to be noted, for those of ordinary skill in the art, whole or any step or the parts of method and apparatus of the present invention can be understood, can in the network of any calculation element (comprising processor, storage medium etc.) or calculation element, realized with hardware, firmware, software or their combination, this is that those of ordinary skill in the art use their basic programming skill just can realize when having read explanation of the present invention.
Therefore, object of the present invention can also be realized by an operation program or batch processing on any calculation element.Described calculation element can be known fexible unit.Therefore, object of the present invention also can realize only by the program product of providing package containing the program code realizing described method or device.That is, such program product also forms the present invention, and the storage medium storing such program product also forms the present invention.Obviously, described storage medium can be any storage medium developed in any known storage medium or future.
When realizing embodiments of the invention by software and/or firmware, from storage medium or network to the computing machine with specialized hardware structure, the program forming this software installed by multi-purpose computer 1200 such as shown in Figure 12, this computing machine, when being provided with various program, can perform various function etc.
In fig. 12, CPU (central processing unit) (CPU) 1201 performs various process according to the program stored in ROM (read-only memory) (ROM) 1202 or from the program that storage area 1208 is loaded into random access memory (RAM) 1203.In RAM1203, also store the data required when CPU1201 performs various process etc. as required.CPU1201, ROM1202 and RAM1203 are via bus 1204 link each other.Input/output interface 1205 also link to bus 1204.
Following parts link is to input/output interface 1205: importation 1206(comprises keyboard, mouse etc.), output 1207(comprises display, such as cathode-ray tube (CRT) (CRT), liquid crystal display (LCD) etc., and loudspeaker etc.), storage area 1208(comprises hard disk etc.), communications portion 1209(comprises network interface unit such as LAN card, modulator-demodular unit etc.).Communications portion 1209 is via network such as the Internet executive communication process.As required, driver 1210 also can link to input/output interface 1205.Detachable media 1211 such as disk, CD, magneto-optic disk, semiconductor memory etc. are installed on driver 1210 as required, and the computer program therefrom read is installed in storage area 1208 as required.
When series of processes above-mentioned by software simulating, from network such as the Internet or storage medium, such as detachable media 1211 installs the program forming software.
It will be understood by those of skill in the art that this storage medium is not limited to wherein having program stored therein shown in Figure 12, distributes the detachable media 1211 to provide program to user separately with equipment.The example of detachable media 1211 comprises disk (comprising floppy disk (registered trademark)), CD (comprising compact disc read-only memory (CD-ROM) and digital universal disc (DVD)), magneto-optic disk (comprising mini-disk (MD) (registered trademark)) and semiconductor memory.Or hard disk that storage medium can be ROM1202, comprise in storage area 1208 etc., wherein computer program stored, and user is distributed to together with comprising their equipment.
The present invention also proposes a kind of program product storing the instruction code of machine-readable.When instruction code is read by machine and performs, the above-mentioned method according to the embodiment of the present invention can be performed.
Correspondingly, be also included within of the present invention disclosing for carrying the above-mentioned storage medium storing the program product of the instruction code of machine-readable.Storage medium includes but not limited to floppy disk, CD, magneto-optic disk, storage card, memory stick etc.
Those of ordinary skill in the art should be understood that what exemplify at this is exemplary, and the present invention is not limited thereto.
In this manual, the statement such as " first ", " second " and " the N number of " is to described feature be distinguished on word, clearly to describe the present invention.Therefore, should not be regarded as there is any determinate implication.
As an example, each step of said method and all modules of the said equipment and/or unit may be embodied as software, firmware, hardware or its combination, and as the part in relevant device.When in said apparatus, all modules, unit are configured by software, firmware, hardware or its mode combined, spendable concrete means or mode are well known to those skilled in the art, and do not repeat them here.
As an example, when being realized by software or firmware, to the computing machine (multi-purpose computer 1200 such as shown in Figure 12) with specialized hardware structure, the program forming this software can be installed from storage medium or network, this computing machine, when being provided with various program, can perform various functions etc.
Above in the description of the specific embodiment of the invention, the feature described for a kind of embodiment and/or illustrate can use in one or more other embodiments in same or similar mode, combined with the feature in other embodiments, or substitute the feature in other embodiments.
Should emphasize, term " comprises/comprises " existence referring to feature, key element, step or assembly when using herein, but does not get rid of the existence or additional of one or more other features, key element, step or assembly.
In addition, method of the present invention be not limited to specifications in describe time sequencing perform, also can according to other time sequencing ground, perform concurrently or independently.Therefore, the execution sequence of the method described in this instructions is not construed as limiting technical scope of the present invention.
The present invention and advantage thereof, but be to be understood that and can carry out various change when not exceeding the spirit and scope of the present invention limited by appended claim, substituting and conversion.And scope of the present invention is not limited only to the specific embodiment of process, equipment, means, method and step described by instructions.One of ordinary skilled in the art will readily appreciate that from disclosure of the present invention, can use perform the function substantially identical with the corresponding embodiment at this or obtain and its substantially identical result, existing and that will be developed in the future process, equipment, means, method or step according to the present invention.Therefore, appended claim is intended to comprise such process, equipment, means, method or step in their scope.
Based on above explanation, known disclosing at least discloses following technical scheme:
Remarks 1. 1 kinds of information integration systems, comprising:
First collection unit, for collecting the first context, described first context represents the context relevant with current page with the running environment of the application be just run;
Second collection unit, for collecting the second context, described second context represent with described application just by context that the function used is relevant;
At least one content generating unit, each content generating unit is used for contextually contextually generating corresponding content recommendation at least partially with described second at least partially according to described first; And
Content insertion section, for described content recommendation being inserted the current page of the application be just run, to realize the integration of described current page and described content recommendation.
The information integration system of remarks 2. according to remarks 1, also comprise at least one confidence calculations portion, at least one confidence calculations portion described and at least one content generating unit described have relation one to one, each confidence calculations portion at least one confidence calculations portion described is used for according to the described first at least partially contextual and/or described second contextual degree of confidence calculating the content recommendation that the corresponding contents generating unit at least one content generating unit described generates at least partially, described content insertion section is configured to insert described current page by having higher than the content recommendation of the degree of confidence of predetermined value.
The information integration system of remarks 3. according to remarks 1, wherein, described first context comprises at least one item in the following: for running the type of the browser of described application, the type performing the terminal of described application, the network site at described terminal place, the uniform resource locator of webpage at described application place, the html source code of described webpage and describing personalized contextual paired title and value.
The information integration system of remarks 4. according to remarks 1, wherein, described second context comprises at least one item in the following: described application just by the title of the function that uses, description, frequency of utilization and the extend information from Internet resources.
The information integration system of remarks 5. according to remarks 2, wherein, at least one content generating unit described comprises default content generating unit, described default content generating unit is configured to generate default recommendation content, when the degree of confidence calculated for the other guide generating unit outside described default content generating unit is not all higher than described predetermined value, described default recommendation content is inserted described current page by described content insertion section.
The information integration system of remarks 6. according to remarks 2, wherein, at least one content generating unit described comprises preferred content generating unit, and described preferred content generating unit is configured to generate preferred content to be inserted described current page by described content insertion section all the time.
The information integration system of remarks 7. according to remarks 1, wherein, described first collection unit and described content insertion section are formed a plug-in unit, and described plug-in unit is installed to the terminal for running described application.
The information integration system of remarks 8. according to any one of remarks 2 to 7, wherein, at least one content generating unit described and/or at least one confidence calculations portion described design according to the historical information of described application.
The information integration system of remarks 9. according to any one of remarks 1 to 7, wherein, at least one content generating unit described is configured to according to described first context and described second context, generates described content recommendation based on corporate intranet resource and/or outside network resource.
Remarks 10. 1 kinds of information integrating methods, comprising:
Collect the first context, described first context represents the context relevant with current page with the running environment of the application be just run;
Collect the second context, described second context represent with described application just by context that the function used is relevant;
Contextually contextually corresponding content recommendation is generated at least partially with described second at least partially respectively according to described first; And
Described content recommendation is inserted the current page of the application be just run, to realize the integration of described current page and described content recommendation.
The information integrating method of remarks 11. according to remarks 10, also comprise: according to the described first at least partially contextual and/or described second contextual degree of confidence calculating corresponding content recommendation at least partially, and insert described current page by having higher than the content recommendation of the degree of confidence of predetermined value.
The information integrating method of remarks 12. according to remarks 10, wherein, described first context comprises at least one item in the following: for running the type of the browser of described application, the type performing the terminal of described application, the network site at described terminal place, the uniform resource locator of webpage at described application place, the html source code of described webpage and describing personalized contextual paired title and value.
The information integrating method of remarks 13. according to remarks 10, wherein, described second context comprises at least one item in the following: described application just by the title of the function that uses, description, frequency of utilization and the extend information from Internet resources.
The information integrating method of remarks 14. according to remarks 11, wherein, describedly contextually to comprise with the described second contextual step generating corresponding content recommendation at least partially at least partially according to described first: generate default recommendation content, during with the degree of confidence of other content recommendations outside described default recommendation content all not higher than described predetermined value, described default recommendation content is inserted described current page.
The information integrating method of remarks 15. according to remarks 11, wherein, describedly contextually to comprise with the described second contextual step generating corresponding content recommendation at least partially at least partially according to described first: generate preferred content to be inserted into described current page all the time.
The information integrating method of remarks 16. according to remarks 10, wherein, performs the step of collecting described first contextual step and described content recommendation being inserted described current page by the plug-in unit be installed in the terminal for running described application.
The information integrating method of remarks 17. according to any one of remarks 11 to 16, wherein, designs the step of the step generating described content recommendation and the degree of confidence calculating described content recommendation according to the historical information of described application.
The information integrating method of remarks 18. according to any one of remarks 10 to 16, wherein, describedly contextually to comprise with the described second contextual step generating corresponding content recommendation at least partially at least partially according to described first: contextually contextually generate described content recommendation at least partially, based on corporate intranet resource and/or outside network resource with described second at least partially according to described first.
Remarks 19. 1 kinds is for realizing the computer program of the information integrating method according to any one of remarks 10 to 18.
The computer program of remarks 20. 1 kinds of computer-readable medium form, it records the computer program code for realizing the information integrating method according to any one of remarks 10 to 18.
Claims (10)
1. an information integration system, comprising:
First collection unit, for collecting the first context, described first context represents the context relevant with current page with the running environment of the application be just run;
Second collection unit, for collecting the second context, described second context represent with described application just by context that the function used is relevant;
At least one content generating unit, each content generating unit is used for contextually contextually generating corresponding content recommendation at least partially with described second at least partially according to described first; And
Content insertion section, for described content recommendation being inserted the current page of the application be just run, to realize the integration of described current page and described content recommendation.
2. information integration system according to claim 1, also comprise at least one confidence calculations portion, at least one confidence calculations portion described and at least one content generating unit described have relation one to one, each confidence calculations portion at least one confidence calculations portion described is used for according to the described first at least partially contextual and/or described second contextual degree of confidence calculating the content recommendation that the corresponding contents generating unit at least one content generating unit described generates at least partially, described content insertion section is configured to insert described current page by having higher than the content recommendation of the degree of confidence of predetermined value.
3. information integration system according to claim 1, wherein, described first context comprises at least one item in the following: for running the type of the browser of described application, the type performing the terminal of described application, the network site at described terminal place, the uniform resource locator of webpage at described application place, the html source code of described webpage and describing personalized contextual paired title and value.
4. information integration system according to claim 1, wherein, described second context comprises at least one item in the following: described application just by the title of the function that uses, description, frequency of utilization and the extend information from Internet resources.
5. information integration system according to claim 2, wherein, at least one content generating unit described comprises default content generating unit, described default content generating unit is configured to generate default recommendation content, when the degree of confidence calculated for the other guide generating unit outside described default content generating unit is not all higher than described predetermined value, described default recommendation content is inserted described current page by described content insertion section.
6. information integration system according to claim 2, wherein, at least one content generating unit described comprises preferred content generating unit, and described preferred content generating unit is configured to generate preferred content to be inserted described current page by described content insertion section all the time.
7. information integration system according to claim 1, wherein, described first collection unit and described content insertion section are formed a plug-in unit, and described plug-in unit is installed to the terminal for running described application.
8. the information integration system according to any one of claim 2 to 7, wherein, at least one content generating unit described and/or at least one confidence calculations portion described design according to the historical information of described application.
9. information integration system according to any one of claim 1 to 7, wherein, at least one content generating unit described is configured to according to described first context and described second context, generates described content recommendation based on corporate intranet resource and/or outside network resource.
10. an information integrating method, comprising:
Collect the first context, described first context represents the context relevant with current page with the running environment of the application be just run;
Collect the second context, described second context represent with described application just by context that the function used is relevant;
Contextually contextually corresponding content recommendation is generated at least partially with described second at least partially respectively according to described first; And
Described content recommendation is inserted the current page of the application be just run, to realize the integration of described current page and described content recommendation.
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