CN105787033A - Self-adaptation content resource distribution method and device and system - Google Patents
Self-adaptation content resource distribution method and device and system Download PDFInfo
- Publication number
- CN105787033A CN105787033A CN201610105096.7A CN201610105096A CN105787033A CN 105787033 A CN105787033 A CN 105787033A CN 201610105096 A CN201610105096 A CN 201610105096A CN 105787033 A CN105787033 A CN 105787033A
- Authority
- CN
- China
- Prior art keywords
- content resource
- inquiry
- user
- subset
- matching degree
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/335—Filtering based on additional data, e.g. user or group profiles
- G06F16/337—Profile generation, learning or modification
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Information Transfer Between Computers (AREA)
Abstract
The invention discloses a self-adaptation content resource distribution method executed in a server.The method includes the steps that the server sends a first inquiry subset to a mobile terminal, the difficulty of a second inquiry subset is determined according to conditions fed back by a mobile terminal user to the first inquiry subset, the second inquiry subset is sent to the mobile terminal, conditions fed back by the user to the second inquiry subset are received, the matching degree of the user and content resource types or grades is calculated according to feedbacks of the user to the two inquiry subsets, the matching degree is sent to the mobile terminal, and content resources of the types or grades corresponding to the matching degree are sent to the mobile terminal.The invention further discloses the server and a system adopting the method, a self-adaptation content resource obtaining method and device and the mobile terminal corresponding to the self-adaptation content resource distribution method.
Description
Technical field
The present invention relates to Computer System Design and applied technical field, particularly relate to a kind of adaptive content resource allocation methods, equipment and system.
Background technology
Along with the development of information technology, user has got used to by Network Capture content resource.Website, software etc. can serve as the container of content resource, provide a user with effective information.But, after usual user logs in, website, software etc. all can present a fixing page, provide same information to each user, do not consider the diversity of individual subscriber ability, lack the interaction with user.Additionally, user needs to filter out in lists oneself information applicable, waste time and energy.
Summary of the invention
For this, the present invention provides adaptive content resource allocation methods, equipment and system, to try hard to solve or at least alleviate Problems existing above.
According to an aspect of the present invention, a kind of adaptive content resource allocation methods is provided, perform in the server, including: use the first inquiry subset in the inquiry set relevant to content resource to test the matching degree of user and content resource type or grade, including: send the first inquiry subset to mobile terminal；Receive user and inquire that to first the feedback of subset is to carry out level evaluation and test, the method also includes: using the second inquiry subset in inquiry set to test the matching degree of user and content resource type or grade, wherein the difficulty of the second inquiry subset is according to user, the first feedback inquiring subset to be selected；To the first feedback inquiring subset and inquire that the feedback of subset calculates the matching degree of user and content resource type or grade according at least user to second, and matching degree is sent to mobile terminal；With the content resource sending type corresponding with matching degree or grade to mobile terminal.
Alternatively, in the adaptive content resource allocation methods according to the present invention, content resource and the inquiry in inquiry set are divided into multiple grade of difficulty.
Alternatively, in the adaptive content resource allocation methods according to the present invention, the step to mobile terminal transmission type corresponding with matching degree or the content resource of grade farther includes: send the content resource with matching degree and the corresponding type of user characteristics or grade to mobile terminal.
Alternatively, in the adaptive content resource allocation methods according to the present invention, user characteristics includes basic feature and acquistion feature, and wherein, basic feature includes the sex of user, age, educational background, interest；Acquistion feature includes the content resource of user and obtains custom, forgetting curve, weak content unit.
Alternatively, in the adaptive content resource allocation methods according to the present invention, the first inquiry subset in using the inquiry set relevant to content resource also includes: accept Account Registration and the login of user before testing the step of matching degree of user and content resource type or grade.
According to an aspect of the present invention, it is provided that a kind of server, including: the first memory module, be suitable to storage content resource and inquiry set；Matching degree evaluation and test module, is adapted in use to the first inquiry subset in the inquiry set relevant to content resource to test the matching degree of user and content resource type or grade, including: send the first inquiry subset to mobile terminal；Receive user and inquire that to first the feedback of subset is to carry out level evaluation and test；Module is distributed with content resource, be suitable to send the content resource of type corresponding with matching degree or grade to mobile terminal, wherein, matching degree evaluation and test module is further adapted for: using the second inquiry subset in inquiry set to test the matching degree of user and content resource type or grade, wherein the difficulty of the second inquiry subset is according to user, the first feedback inquiring subset to be selected；And to the first feedback inquiring subset and inquire that the feedback of subset calculates the matching degree of user and content resource type or grade according at least user to second, and matching degree is sent to mobile terminal.
Alternatively, according in the server of the present invention, content resource and the inquiry in inquiry set are divided into multiple grade of difficulty.
Alternatively, according in the server of the present invention, the first memory module is further adapted for storage user characteristics.
Alternatively, according in the server of the present invention, user characteristics includes basic feature and acquistion feature, and wherein, basic feature includes the sex of user, age, educational background, interest；Acquistion feature includes the content resource of user and obtains custom, forgetting curve, weak content unit.
Alternatively, according in the server of the present invention, content resource distribution module is further adapted for: send the content resource of type corresponding with matching degree and user characteristics or grade to mobile terminal.
Alternatively, according in the server of the present invention, account management module, be suitable to accept the Account Registration of user and login.
According to an aspect of the present invention, a kind of adaptive content resource acquiring method is provided, perform in the terminal, including: use the first inquiry subset in the inquiry set relevant to content resource to test the matching degree of user and content resource type or grade, including: obtain the first inquiry subset from server；The first inquiry subset is presented to user；Receive user and to the first feedback inquiring subset and send it to server to carry out level evaluation and test, the method also includes: using the second inquiry subset in inquiry set to test the matching degree of user and content resource type or grade, wherein the difficulty of the second inquiry subset is that the first feedback inquiring subset is selected by server according to user；The basis at least user matching degree to the first feedback inquiring subset and the user that the second feedback inquiring subset is calculated and content resource type or grade is obtained from server；With the content resource obtaining type corresponding with matching degree or grade from server.
Alternatively, in the adaptive content resource acquiring method according to the present invention, content resource and the inquiry in inquiry set are divided into multiple grade of difficulty.
Alternatively, in the adaptive content resource acquiring method according to the present invention, farther include from the step of server acquisition type corresponding with matching degree or the content resource of grade: obtain the content resource with matching degree and the corresponding type of user characteristics or grade from server.
Alternatively, in the adaptive content resource acquiring method according to the present invention, user characteristics includes basic feature and acquistion feature, and wherein, basic feature includes the sex of user, age, educational background, interest；Acquistion feature includes the content resource of user and obtains custom, forgetting curve, weak content unit.
Alternatively, in the adaptive content resource acquiring method according to the present invention, the first inquiry subset in using the inquiry set relevant to content resource also includes: send Account Registration and logging request to server before testing the step of matching degree of user and content resource type or grade.
According to an aspect of the present invention, a kind of adaptive content resource acquisition device is provided, resident in the terminal, this device includes: evaluation and test module, it is adapted in use to the first inquiry subset in the inquiry set relevant to content resource to test the matching degree of user and content resource type or grade, including: obtain the first inquiry subset from server；The first inquiry subset is presented to user；Receive user and to the first feedback inquiring subset and send it to server to carry out level evaluation and test；Acquisition module, is suitable to obtain the content resource of type corresponding with matching degree or grade from server；With the second memory module, be suitable to store the content resource obtained from server, wherein, evaluation and test module is further adapted for: using the second inquiry subset in inquiry set to test the matching degree of user and content resource type or grade, wherein the difficulty of the second inquiry subset is that the first feedback inquiring subset is selected by server according to user；And obtain the basis at least user matching degree to the first feedback inquiring subset and the user that the second feedback inquiring subset is calculated and content resource type or grade from server.
Alternatively, in the adaptive content resource acquisition device according to the present invention, content resource and the inquiry in inquiry set are divided into multiple grade of difficulty.
Alternatively, in the adaptive content resource acquisition device according to the present invention, acquisition module is further adapted for: obtain the content resource of type corresponding with matching degree and user characteristics or grade from server.
Alternatively, in the adaptive content resource acquisition device according to the present invention, user characteristics includes basic feature and acquistion feature, and wherein, basic feature includes the sex of user, age, educational background, interest；Acquistion feature includes the content resource of user and obtains custom, forgetting curve, weak content unit.
Alternatively, in the adaptive content resource acquisition device according to the present invention, register login module, be suitable to send to server Account Registration and logging request.
Alternatively, in the adaptive content resource acquisition device according to the present invention, evaluation and test module also includes: spoken evaluation unit in real time, is suitable to the speech data of user is evaluated.
According to an aspect of the present invention, it is provided that a kind of mobile terminal, including adaptive content resource acquisition device as above.
According to an aspect of the present invention, it is provided that a kind of adaptive content resource allocation system, including at least one server as above and at least one mobile terminal as above.
According to technical scheme provided by the invention, server can test the matching degree of user and content resource type or grade, and from huge volumes of content resource, choose suitable content resource according to above-mentioned matching degree and be pushed to user, correspondingly, mobile phone users can be quick, know the matching degree of oneself and content resource type or grade exactly, and obtain and what matching degree adapted, the content resource that oneself is interested, achieve the screening of content resource, and customization, personalized content resource obtains, improve user and obtain the efficiency of content resource, save the quality time of user.
Accompanying drawing explanation
In order to realize above-mentioned and relevant purpose; herein in conjunction with as explained below and accompanying drawing, some illustrative aspect is described; these aspects indicate the various modes that can put into practice principles disclosed herein, and all aspects and equivalence aspect thereof are intended to fall under in the scope of theme required for protection.Reading detailed description below in conjunction with the drawings, above-mentioned and other purpose, feature and the advantage of the disclosure will be apparent from.Throughout the disclosure, identical accompanying drawing labelling generally refers to identical parts or element.
Fig. 1 illustrates the schematic diagram of adaptive content resource allocation system 100 according to an embodiment of the invention；
Fig. 2 illustrates the schematic diagram of server 200 according to an embodiment of the invention；
Fig. 3 illustrates the schematic diagram of the first memory module 210 according to an embodiment of the invention；
Fig. 4 illustrates the schematic diagram of the label of content resource and inquiry according to an embodiment of the invention；
Fig. 5 illustrates the schematic diagram of the mobile terminal 300 of one embodiment of the invention；
Fig. 6 illustrates the schematic diagram of the adaptive content resource acquisition device 400 of one embodiment of the invention；
Fig. 7 illustrates the flow chart of adaptive content resource allocation methods 500 according to an embodiment of the invention；And
Fig. 8 illustrates the flow chart of adaptive content resource acquiring method 600 according to an embodiment of the invention.
Detailed description of the invention
It is more fully described the exemplary embodiment of the disclosure below with reference to accompanying drawings.Although accompanying drawing showing the exemplary embodiment of the disclosure, it being understood, however, that may be realized in various forms the disclosure and should do not limited by embodiments set forth here.On the contrary, it is provided that these embodiments are able to be best understood from the disclosure, and complete for the scope of the present disclosure can be conveyed to those skilled in the art.
Fig. 1 illustrates the schematic diagram of adaptive content resource allocation system 100 according to an embodiment of the invention.As it is shown in figure 1, comprise a server 200 and a mobile terminal 300 in adaptive content resource allocation system 100, mobile terminal 300 can be such as mobile phone, panel computer etc., but is not limited to this.In adaptive content resource allocation system 100, it is mutual with server 200 that mobile terminal 300 can pass through data network, obtains the content resource being suitable for mobile phone users.Specifically, mobile terminal 300 can to server 200 upload user feature, and the matching degree of user and content resource type or grade is tested from server 200 acquisition the first inquiry subset, to first, server 200 inquires that the feedback of subset determines the difficulty of the second inquiry subset according to mobile phone users, and send the second inquiry subset to mobile terminal, continue the matching degree of test user and content resource type or grade, receive user to the second feedback inquiring subset, inquire that the feedback of subset calculates the matching degree of user and content resource type or grade according at least user to the first feedback inquiring subset with to second, described matching degree is sent to mobile terminal, and the content resource of type corresponding with matching degree or grade is sent to mobile terminal.Adaptive content resource allocation system shown in Fig. 1 illustrate only a server and a mobile terminal, artisan would appreciate that, the stability of response speed and operation in order to ensure server, adaptive content resource allocation system 100 can also configure multiple servers, certainly, can also having multiple mobile terminal in adaptive content resource allocation system 100, the present invention is all unrestricted to the quantity of the server in adaptive content resource allocation system and mobile terminal.By this adaptive content resource allocation system, server can test the matching degree of user and content resource type or grade, and from huge volumes of content resource, choose suitable content resource according to above-mentioned matching degree and be pushed to user, correspondingly, mobile phone users can be quick, know the matching degree of oneself and content resource type or grade exactly, and obtain and what matching degree adapted, the content resource that oneself is interested, achieve the screening of content resource, and customization, personalized content resource obtains, improve user and obtain the efficiency of content resource, save the quality time of user.
Fig. 2 illustrates the schematic diagram of server 200 according to an embodiment of the invention.As in figure 2 it is shown, server 200 includes the first memory module 210, matching degree evaluation and test module 220, content resource distributes module 230 and account management module 240.
Fig. 3 illustrates the schematic diagram of the first memory module 210 according to an embodiment of the invention.As it is shown on figure 3, storage has content resource, inquiry set and user characteristics in the first memory module 210.
Content resource can be text, picture, audio frequency, video etc., but is not limited to above-mentioned form.Each content resource all comprises the effective information that can be supplied to user.Content resource is divided into multiple grade of difficulty according to the complexity that user understands.Inquiry set includes multiple inquiry, and for testing the matching degree of user and content resource type or grade, correspondingly, the inquiry in inquiry set is also divided into multiple grade of difficulty.Such as, as it is shown on figure 3, the inquiry in content resource and inquiry set is divided into N number of grade of difficulty, i.e. Level1～LevelN.Wherein, the content resource of Level1 and inquiry are the simplest, and the content resource of LevelN and inquiry difficulty are maximum.Each grade of difficulty has corresponding content resource and inquiry, for instance, Level1 to having Content11, Content12, Query11 and Query12, Level2 to having Content21, Content22, Query21 and Query22, etc..Especially, each content resource and inquiry are equipped with label, and label is for the attribute of this content resource of labelling or inquiry.Such as, label can indicate this content resource grade of difficulty (Level), for content technical ability, content unit, the information project such as topic content, wherein, for content technical ability refer to the big classification belonging to the information that this content resource provides, content unit refers to the little classification belonging to information that under above-mentioned big classification this content resource provides.Such as, content resource can be English associated documents, inquiry may be for the information that foregoing resource carries and tests to Client-initiated, correspondingly, foregoing resource and inquiry for content technical ability include listening, say, reading and writing etc., content unit can include the subjunctive mood, verb form change, stress etc..Fig. 4 illustrates the schematic diagram of the label of content resource and inquiry according to an embodiment of the invention.In the diagram, content resource is English associated documents, and label includes grade of difficulty, content technical ability, content unit, four projects of topic content.Consider practical situation, according to universal law, in " listening, speaking, reading and writing " four content technical ability, " listen read-write " user is relatively simple, " say " and be more difficult to, therefore in the content resource of relatively low grade of difficulty and inquiry, it is not provided with " saying " classification, the content resource of only more highly difficult grade and just having in inquiring.Such as, in Fig. 4, the content resource of " saying " classification occurs in Level7.Certainly, or several in the information project on label can include listing in Fig. 4 four, it is also possible to including other unlisted above information projects, the information project of mark on label is not limited by the present invention.It will be appreciated by those of skill in the art that on label, the information project of mark is more many, when searching relevant content resource, location is more accurate, and the customization degree of adaptive content resource allocation system is more high.
Returning to Fig. 3, also store user characteristics in the first memory module 210, user characteristics includes basic feature and acquistion feature.Basic feature is filled in when login account by mobile phone users, can modify in subsequent content process resource access.Basic feature includes the information such as the sex of user, age, educational background, interest, these information can distribute, as content resource, the reference factor that module 230 pushes content resource to mobile phone users, such as, according to the interest information of storage in basic feature, push the content resource relating to user's topic interested to mobile phone users.Acquistion is characterized by that being evaluated and tested module 220 by matching degree obtains, according to the content resource of user's history, the information that situation analysis and summary draw, the content resource including mobile phone users obtains custom, forgetting curve, weak content unit etc..Acquistion feature can also distribute, as content resource, the reference factor that module 230 pushes content resource to mobile phone users, such as, the analysis of module 220 is evaluated and tested through matching degree, the weak content unit of user is the subjunctive mood, then content resource distribution module 230 pushes the content resource being labeled with " subjunctive mood " content unit on label to mobile phone users.
Matching degree evaluation and test module 220, it is adapted in use to the inquiry set relevant to content resource to test the matching degree of user and content resource type or grade, specifically, including: send the first inquiry subset to mobile terminal, receive user to the first feedback inquiring subset, inquire that the feedback of subset determines the difficulty of the second inquiry subset according to user to first, and inquire that by second subset sends to mobile terminal, receive user to the second feedback inquiring subset, and inquire that the feedback of subset calculates the matching degree of user and content resource type or grade according at least user to the first feedback inquiring subset with to second, and matching degree is sent to mobile terminal.In brief, matching degree evaluation and test module 220 for choosing suitable inquiry subset adaptively to test the matching degree of user and content resource type or grade from inquiry set, and sends matching degree to mobile terminal.
When mobile terminal first time adds adaptive content resource allocation system, the request of the once matching degree of test content resource type or grade can be initiated to server 200, the matching degree evaluation and test module 220 of server, in response to this request, sends inquiry to mobile terminal.Especially, matching degree evaluation and test module 220 is when inquiring to mobile terminal distribution, it is not send all a certain specific difficulty to mobile terminal once to inquire (such as, once the 20 of this test inquiries are all sent mobile terminal), but only send one every time or inquire on a small quantity, subsequently, according to the feedback of mobile phone users in real time, be adaptively adjusted the difficulty of subsequent challenges.Such as, matching degree evaluation and test module 220 first inquires in subset the inquiry comprising a Level3 to what mobile terminal sent, if mobile phone users has correctly fed back this inquiry, then next matching degree evaluation and test module 220 will improve the difficulty of inquiry, inquires, second, the inquiry sending a Level4 in subset to mobile terminal；If feedback error, then next matching degree evaluation and test module 220 will reduce the difficulty of inquiry, the inquiry sending a Level2 in subset to mobile terminal is inquired second, the like, matching degree evaluation and test module 220 feedback according to mobile phone users in whole test process dynamically adjusts the difficulty of inquiry, until test terminates.Again such as, first matching degree evaluation and test module 220 sends the first inquiry subset of the inquiry including 3 Level4 to user, if user at least correctly feeds back 2, then improve the difficulty of next batch inquiry, namely inquire, second, the inquiry sending 3 Level5 in subset to mobile terminal；If user is error feedback 2 at least, then reduce the difficulty of next batch inquiry, namely inquire, second, the inquiry sending 3 Level3 in subset to mobile terminal.Those skilled in the art it can be appreciated that, except the above-mentioned example provided, first inquiry subset, the second inquiry subset can also include the inquiry of other numbers respectively, two inquiry numbers inquiring sub-concentrated setting can also be different, and the inquiry number that the present invention inquires first in subset and the second inquiry subset does not limit.Those skilled in the art are it should also be realised that except the above-mentioned example provided, it is also possible to adopt other algorithm to adjust the difficulty of inquiry, and the algorithm adjusting inquiry difficulty is not also limited by the present invention.
According to a kind of embodiment, in order to improve testing efficiency, the difficulty of inquiry is not direct by Level1, but from difficulty in the middle of.Such as, content resource being divided into the server of Level1～Level8, the inquiry selecting Level4 is put in the first inquiry subset by matching degree evaluation and test module 220 as first or first inquiry.When choosing inquiry from the inquiry concentration of a certain grade of difficulty, matching degree evaluation and test module 220 can take random manner, it is also possible to taking other algorithms, the algorithm choosing inquiry is not limited by the present invention.
Matching degree evaluation and test module 220 is except can being adaptively adjusted the difficulty of inquiry according to mobile phone users to the feedback of inquiry, it is also possible to test result is evaluated.Above-mentioned evaluation includes overall merit and refinement is evaluated.Overall merit is presented as a level results, namely from the matching degree of the mobile phone users that reflects of feedback of inquiry with content resource grade.Such as, in whole test process, mobile phone users has correctly fed back the great majority inquiry of Level4 and Level5, but the inquiry accuracy of Level6 is very low, then the overall merit of this mobile phone users is Level5 by matching degree evaluation and test module 220, and namely mobile phone users matches with the content resource of Level5.Refinement is evaluated and is based on the analysis more specifically that this test case matching degree to user Yu content resource type carries out.Such as, mobile phone users is added up in this test respectively for the feedback of each content technical ability, content unit, topic content etc..The test case that more clearly can show oneself to mobile phone users is evaluated in refinement, understands oneself strong point and weakness, it is also possible to distribute, as content resource, the reference factor that module 230 pushes content resource to mobile phone users.
Especially, for the inquiry needing feedback speech data, if the speech data directly gathering user from mobile terminal the matching degree evaluation and test module 220 that uploaded onto the server are evaluated, network transmitting audio data needs to expend relatively various flow.In one embodiment, can adopt application number is 201310524873.8, name is called the technical scheme in the patent of invention of " the spoken in real time evaluation system and method on mobile equipment ", spoken evaluation unit in real time is set in the terminal, when matching degree evaluates and tests the inquiry that module 220 needs feedback speech data for mobile terminal distribution, directly by the spoken in real time evaluation unit in mobile terminal, voice feedback result is evaluated, then evaluation result is uploaded to matching degree evaluation and test module 220.So, Speech Assessment can complete on mobile terminals, and decreasing mobile terminal is upload the Flux Loss that speech data brings.
Except distribution inquiry and evaluation test result, matching degree evaluation and test module 220 can also analyze the historical content resource acquisition situation of mobile phone users, to update the acquistion characteristic of user characteristics in the first memory module 210.Such as, matching degree evaluation and test module 220 is after user obtains content resource and reading completes, the level of digesting and assimilating of this content resource can be inquired, and combine repeatedly inquire result, draw the mobile phone users forgetting curve for certain content unit, again such as, matching degree evaluation and test module 220 can receive user's content resource every day that mobile terminal uploads and obtain the time, and analyzes that to find that user's content resource at weekend obtains the time shorter than working day.Above-mentioned analysis result is stored in the first memory module 210, distributes, as content resource, the reference factor that module 230 pushes content resource to mobile phone users.
Content resource distribution module 230 is for the feature of mobile phone users, adaptively to the content resource that its distribution is suitable.In the process of allocation contents resource, content resource distribution module 230 is with reference to the user characteristics of storage in the first memory module 210, and the matching degree of the matching degree evaluation and test user that draws of module 220 and content resource type or grade.Such as, user characteristics-the basic feature of the first memory module 210 shows, the interest of mobile phone users is " commercial affairs ", the matching degree of the user that draws of module 220 and content resource type or grade is evaluated and tested through matching degree, the overall merit drawing user is Level5, it is its weak content unit that display spoken language pronunciation is evaluated in refinement, then content resource distribution module 230 is pushed to mobile phone users about the spoken language pronunciation class content resource of commercial affairs topic by selecting in the content resource stored from the first memory module 210 in Level5.
Continuous acquisition along with content resource, the user characteristics (basic feature/acquistion feature) of mobile phone users is it may happen that change, therefore, after the study of each content resource terminates, the query status of reference mobile phone users, content resource study duration, content resource are obtained the many indexs such as the frequency content resource study situation to user and are evaluated, and update the acquistion feature in the first memory module 210 accordingly by matching degree evaluation and test module 220.Content resource analysis module 230 will adjust, according to evaluation result each time, the content resource next time provided a user with further.
Account management module 240 is for accepting Account Registration and the login of user.
Fig. 5 illustrates the schematic diagram of the mobile terminal 300 of one embodiment of the invention.As it is shown in figure 5, the mobile terminal 300 with multiple point touching ability can include memory interface 302, one or more data processor, image processor and/or CPU 304 and peripheral interface 306.
Memory interface 302, one or more processor 304 and/or peripheral interface 306 both can be discrete components, it is also possible to be integrated in one or more integrated circuit.In mobile terminal 300, various elements can be coupled by one or more communication bus or holding wire.Sensor, equipment and subsystem are alternatively coupled to peripheral interface 306, in order to help to realize several functions.Such as, motion sensor 310, optical sensor 312 and range sensor 314 are alternatively coupled to peripheral interface 306, to facilitate the functions such as orientation, illumination and range finding.Other sensors 316 are equally possible to be connected with peripheral interface 306, for instance alignment system (such as GPS), temperature sensor, biometric sensor or other sensor devices, thus can help to implement relevant function.
Camera sub-system 320 and optical pickocff 322 may be used for the realization of the camera function of convenient such as recording photograph and video clipping, and wherein said camera sub-system and optical pickocff can be such as charge-coupled image sensor (CCD) or complementary metal oxide semiconductors (CMOS) (CMOS) optical pickocff.
Can helping to realize communication function by one or more radio communication subsystem 324, wherein radio communication subsystem can include radio-frequency transmitter and transmitter and/or light (such as infrared) Receiver And Transmitter.The particular design of radio communication subsystem 324 and embodiment can depend on one or more communication networks that mobile terminal 300 is supported.Such as, mobile terminal 300 can include being designed to the radio communication subsystem 324 of supporting GSM network, GPRS network, EDGE network, Wi-Fi or WiMax network and BlueboothTM network.
Audio subsystem 326 can be coupled with speaker 328 and mike 330, in order to helps the function implementing to enable voice, for instance speech recognition, speech reproduction, digital record and telephony feature.
I/O subsystem 340 can include touch screen controller 342 and/or other input controllers 344 one or more.
Touch screen controller 342 is alternatively coupled to touch screen 346.For example, what this touch screen 346 and touch screen controller 342 can use in multiple touch-sensing technology any detects the contact and movement or time-out that carry out with it, and wherein detection technology is including, but not limited to capacitive character, resistive, infrared and surface acoustic wave technique.
Other input controllers 344 one or more are alternatively coupled to other input/control devicess 348, for instance the pointer device of one or more buttons, rocker switch, thumb wheel, infrared port, USB port and/or instruction pen etc.One or more button (not shown)s can include for controlling speaker 328 and/or the up/down button of mike 330 volume.
Memory interface 302 can be coupled with memorizer 350.This memorizer 350 can include high-speed random access memory and/or nonvolatile memory, for instance one or more disk storage equipment, one or more optical storage apparatus, and/or flash memories (such as NAND, NOR).
Memorizer 350 can store operating system 352, for instance the operating system of Android, IOS or WindowsPhone etc.This operating system 352 can include for processing basic system services and execution depends on the instruction of task of hardware.Memorizer 350 can also store various application 354.When mobile equipment runs, operating system 352 can be loaded from memorizer 350, and performed by processor 304.Application 354 operationally, also can load from memorizer 350, and be performed by processor 304.Application 354 operates on operating system, utilizes the interface that operating system and bottom hardware provide to realize the desired function of various user, such as instant messaging, web page browsing, pictures management etc..Application can be independently of what operating system provided, it is also possible to is that operating system carries.
In various application 354, a kind of application therein is adaptive content resource acquisition device 400, by this device, mobile phone users can to server upload user feature, know the matching degree of oneself and content resource type or grade quickly and accurately, and obtain and content resource that matching degree adapts, that oneself is interested, achieve the screening of content resource, obtain with customization, personalized content resource, improve user and obtain the efficiency of content resource, save the quality time of user.
Fig. 6 illustrates the schematic diagram of the adaptive content resource acquisition device 400 of one embodiment of the invention.As shown in Figure 6, adaptive content resource acquisition device 400 includes registration login module 410, evaluates and tests module 420, acquisition module 430 and the second memory module 440.
When mobile phone users uses adaptive content resource acquisition device 400 first, it is necessary to login account, and fill in user's basic feature.Basic feature includes sex, age, educational background, interest etc., but is not limited to this.Account name that user will fill in, account password, basic feature etc. upload onto the server, server after checking and approving, and Account Registration success.After succeeding in registration, mobile phone users can logon account, open content resource acquisition process.
In general, before mobile phone users obtains content resource from server, it is necessary to first test the matching degree of oneself and content resource type or grade, so that server provides a user with suitable content resource better.The test of matching degree is completed by evaluating and testing module 420.In test process, evaluation and test module 420 obtains inquiry from server, and the feedback result of user is uploaded onto the server, server is adaptively adjusted inquiry difficulty according to the feedback of user, and the inquiry after adjustment is sent to the evaluation and test module 420 of mobile terminal, by that analogy, until having tested.After having tested, evaluation and test module 420 is further adapted for obtaining test evaluation result from server, and specifically, evaluation result is evaluated and tested module 220 by the matching degree of server and made, and evaluates including overall merit and refinement.Evaluate about overall merit and refinement and be described in detail in above matching degree evaluation and test module 220 part, repeat no more herein.
In addition, after the study of each content resource terminates, the test case of reference mobile phone users, content resource study duration, content resource are obtained the many indexs such as frequency and the study situation of user are evaluated by evaluation and test module 420, evaluation result is uploaded onto the server, after the content resource distribution module 230 of server adaptively determines, according to evaluation result each time, the content resource once provided a user with, obtain foregoing resource.
In one embodiment, in order to avoid directly uploading, to server, the Flux Loss that speech data brings, evaluation and test module 420 also includes spoken evaluation unit 422 in real time, for the feedback of the spoken inquiry of user being evaluated at mobile terminal place.Concrete enforcement can adopt application number to be 201310524873.8, name is called the technical scheme in the patent of invention of " the spoken in real time evaluation system and method on mobile equipment ", when evaluating and testing module 420 and receiving the spoken class inquiry sent at server place, directly by the spoken in real time evaluation unit 422 in mobile terminal, voice feedback result is evaluated, then the matching degree evaluation and test module 220 that evaluation result is uploaded onto the server.So, spoken evaluation can complete on mobile terminals, it is to avoid mobile terminal is upload the Flux Loss that speech data brings.
Acquisition module 430 is further adapted for obtaining the content resource of type corresponding with matching degree or grade from server.Specifically, it is possible to download server is to the content resource of its propelling movement, and the content resource after having downloaded is stored in the secondth memory module 440.
Fig. 7 illustrates the flow chart of adaptive content resource allocation methods 500 according to an embodiment of the invention.The method performs in the server, as it is shown in fig. 7, the method starts from step S510.
In step S510, the first inquiry subset in the inquiry set relevant to content resource is used to test the matching degree of user and content resource type or grade, including: send the first inquiry subset to mobile terminal；Receive user and inquire that to first the feedback of subset is to carry out level evaluation and test.
First inquiry subset includes one or more inquiry.According to a kind of embodiment, in order to improve testing efficiency, the difficulty of the inquiry in the first inquiry subset is not Level1, but difficulty in the middle of.Such as, content resource is divided into the server of Level1～Level8, the inquiry selecting Level4 is put in the first inquiry subset as first or first inquiry.When choosing inquiry from the inquiry concentration of a certain grade of difficulty, server can take random manner, it is also possible to takes other algorithms, and the algorithm choosing inquiry is not limited by the present invention.
Subsequently, in step S520, using the second inquiry subset in inquiry set to test the matching degree of user and content resource type or grade, wherein the difficulty of the second inquiry subset is according to user, the first feedback inquiring subset to be selected.
Server is when inquiring to mobile terminal distribution, it is not send all a certain specific difficulty to mobile terminal once to inquire (such as, once the 20 of this test inquiries are all sent mobile terminal), but only send one every time or inquire on a small quantity, subsequently, according to the feedback of mobile phone users in real time, be adaptively adjusted the difficulty of subsequent challenges.According to an embodiment, server to mobile terminal send first inquiry subset in comprise a Level3 inquiry, if mobile phone users has correctly fed back this inquiry, then next server will improve the difficulty of inquiry, inquires, second, the inquiry sending a Level4 in subset to mobile terminal；If feedback error, then next server will reduce the difficulty of inquiry, inquires, second, the inquiry sending a Level2 in subset to mobile terminal, the like, server feedback according to mobile phone users in whole test process dynamically adjusts the difficulty of inquiry, until test terminates.According to another embodiment, first server sends the first inquiry subset of the inquiry including 3 Level4 to user, if user at least correctly feeds back 2, then improve the difficulty of next batch inquiry, namely inquire, second, the inquiry sending 3 Level5 in subset to mobile terminal；If user is error feedback 2 at least, then reduce the difficulty of next batch inquiry, namely inquire, second, the inquiry sending 3 Level3 in subset to mobile terminal.Those skilled in the art it can be appreciated that, except the above-mentioned example provided, first inquiry subset, the second inquiry subset can also include the inquiry of other numbers respectively, two inquiry numbers inquiring sub-concentrated setting can also be different, and the inquiry number that the present invention inquires first in subset and the second inquiry subset does not limit.Those skilled in the art are it should also be realised that except the above-mentioned example provided, it is also possible to adopt other algorithm to adjust the difficulty of inquiry, and the algorithm adjusting inquiry difficulty is not also limited by the present invention.
Subsequently, in step S530, to the first feedback inquiring subset and inquire that the feedback of subset calculates the matching degree of user and content resource type or grade according at least user to second, and matching degree is sent to mobile terminal.
The test result of user with content resource type or the matching degree of grade can be evaluated by server.Above-mentioned evaluation includes overall merit and refinement is evaluated.Overall merit is presented as a level results, namely from the matching degree of the mobile phone users that reflects of feedback of inquiry with content resource grade.Such as, in whole test process, mobile phone users has correctly fed back the great majority inquiry of Level4 and Level5, but the inquiry accuracy of Level6 is very low, then the overall merit of this mobile phone users is Level5 by server, and namely mobile phone users matches with the content resource of Level5.Refinement is evaluated and is based on the analysis more specifically that this test case matching degree to user Yu content resource type carries out.Such as, mobile phone users is added up in this test respectively for the feedback of each content technical ability, content unit, topic content etc..The test case that more clearly can show oneself to mobile phone users is evaluated in refinement, understands oneself strong point and weakness, it is also possible to push the reference factor of content resource to mobile phone users as server.
Especially, for the inquiry needing feedback speech data, being evaluated if directly gathering the speech data of user being uploaded onto the server from mobile terminal, network transmitting audio data needs to expend relatively various flow.In one embodiment, can adopt application number is 201310524873.8, name is called the technical scheme in the patent of invention of " the spoken in real time evaluation system and method on mobile equipment ", spoken evaluation unit in real time is set in the terminal, when server is the inquiry that mobile terminal distribution needs feedback speech data, directly by the spoken in real time evaluation unit in mobile terminal, voice feedback result is evaluated, then evaluation result is uploaded onto the server.So, Speech Assessment can complete on mobile terminals, and decreasing mobile terminal is upload the Flux Loss that speech data brings.
Subsequently, in step S540, send the content resource of type corresponding with matching degree or grade to mobile terminal.
According to a kind of embodiment, server distributes suitable content resource with the matching degree of content resource type or grade to mobile terminal according to the user drawn.Such as, server judges that the content resource of user and Level5 matches, and refinement is evaluated and shown that spoken language pronunciation is that its weak content is first, then server will push the spoken language pronunciation class content resource of Level5 to mobile terminal.
According to another kind of embodiment, server is determined to the content resource that mobile terminal sends with reference to the matching degree of user characteristics and user and content resource type or grade.Such as, user characteristics-basic feature shows, the interest of mobile phone users is " commercial affairs ", the matching degree of the user drawn through server and content resource type or grade, the overall merit drawing user is Level5, it is its weak content unit that display spoken language pronunciation is evaluated in refinement, then server is pushed to mobile phone users about the spoken language pronunciation class content resource of commercial affairs topic by selecting in Level5.
Continuous acquisition along with content resource, the user characteristics (basic feature/acquistion feature) of mobile phone users is it may happen that change, therefore, after the study of each content resource terminates, the query status of reference mobile phone users, content resource study duration, content resource are obtained the many indexs such as the frequency content resource study situation to user and are evaluated, and update the acquistion feature of user accordingly by server.Server will adjust, according to evaluation result each time, the content resource next time provided a user with further.
Fig. 8 illustrates the flow chart of adaptive content resource acquiring method 600 according to an embodiment of the invention.The method performs in the terminal, and as shown in Figure 8, the method starts from step S610.
In step S610, the first inquiry subset in the inquiry set relevant to content resource is used to test the matching degree of user and content resource type or grade, including: obtain the first inquiry subset from server；The first inquiry subset is presented to user；Receive user and to the first feedback inquiring subset and send it to server to carry out level evaluation and test.
Subsequently, in step S620, using the second inquiry subset in inquiry set to test the matching degree of user and content resource type or grade, wherein the difficulty of the second inquiry subset is that the first feedback inquiring subset is selected by server according to user.
Subsequently, in step S630, obtain the basis at least user matching degree to the first feedback inquiring subset and the user that the second feedback inquiring subset is calculated and content resource type or grade from server.
Subsequently, in step S640, obtain the content resource of type corresponding with matching degree or grade from server.
Server described in B2:B1, wherein, described content resource and the inquiry in described inquiry set are divided into multiple grade of difficulty.Server described in B3:B1, wherein, described first memory module is further adapted for storage user characteristics.Server described in B4:B3, wherein, described user characteristics includes basic feature and acquistion feature, and wherein, basic feature includes the sex of user, age, educational background, interest；Acquistion feature includes the content resource of user and obtains custom, forgetting curve, weak content unit.Server described in B5:B3, wherein, described content resource distribution module is further adapted for: send the content resource of type corresponding with matching degree and user characteristics or grade to mobile terminal.Server described in B6:B1, wherein, also includes: account management module, is suitable to accept the Account Registration of user and login.
Adaptive content resource acquiring method described in C2:C1, wherein, described content resource and the inquiry in described inquiry set are divided into multiple grade of difficulty.Adaptive content resource acquiring method described in C3:C1, wherein, the step of the described content resource obtaining type corresponding with matching degree or grade from server farther includes: obtain the content resource with matching degree and the corresponding type of user characteristics or grade from server.Adaptive content resource acquiring method described in C4:C3, wherein, described user characteristics includes basic feature and acquistion feature, and wherein, basic feature includes the sex of user, age, educational background, interest；Acquistion feature includes the content resource of user and obtains custom, forgetting curve, weak content unit.Adaptive content resource acquiring method described in C5:C1, wherein, the first inquiry subset in inquiry set relevant to content resource in described use also includes: send Account Registration and logging request to server before testing the step of matching degree of user and content resource type or grade.
Adaptive content resource acquisition device described in D2:D1, wherein, described content resource and the inquiry in described inquiry set are divided into multiple grade of difficulty.Adaptive content resource acquisition device described in D3:D1, wherein, described acquisition module is further adapted for: obtain the content resource of type corresponding with matching degree and user characteristics or grade from server.Adaptive content resource acquisition device described in D4:D3, wherein, described user characteristics includes basic feature and acquistion feature, and wherein, basic feature includes the sex of user, age, educational background, interest；Acquistion feature includes the content resource of user and obtains custom, forgetting curve, weak content unit.Adaptive content resource acquisition device described in D5:D1, wherein, also includes: registration login module, is suitable to send Account Registration and logging request to server.Adaptive content resource acquisition device described in D6:D1, wherein, described evaluation and test module also includes: spoken evaluation unit in real time, is suitable to the speech data of user is evaluated.
In description mentioned herein, describe a large amount of detail.It is to be appreciated, however, that embodiments of the invention can be put into practice when not having these details.In some instances, known method, structure and technology it are not shown specifically, in order to do not obscure the understanding of this description.
Similarly, it is to be understood that, one or more in order to what simplify that the disclosure helping understands in each inventive aspect, herein above in the description of the exemplary embodiment of the present invention, each feature of the present invention is grouped together in single embodiment, figure or descriptions thereof sometimes.But, the method for the disclosure should be construed to and reflect an intention that namely the present invention for required protection requires than the feature more features being expressly recited in each claim.More precisely, as the following claims reflect, inventive aspect is in that all features less than single embodiment disclosed above.Therefore, it then follows claims of detailed description of the invention are thus expressly incorporated in this detailed description of the invention, wherein each claim itself as the independent embodiment of the present invention.
The module of the equipment that those skilled in the art are to be understood that in example disclosed herein or unit or assembly can be arranged in equipment as depicted in this embodiment, or alternatively can be positioned in one or more equipment different from the equipment in this example.Module in aforementioned exemplary can be combined as a module or be segmented into multiple submodule in addition.
Those skilled in the art are appreciated that, it is possible to carry out the module in the equipment in embodiment adaptively changing and they being arranged in one or more equipment different from this embodiment.Module in embodiment or unit or assembly can be combined into a module or unit or assembly, and multiple submodule or subelement or sub-component can be put them in addition.Except at least some in such feature and/or process or unit excludes each other, it is possible to adopt any combination that all processes or the unit of all features disclosed in this specification (including adjoint claim, summary and accompanying drawing) and so disclosed any method or equipment are combined.Unless expressly stated otherwise, each feature disclosed in this specification (including adjoint claim, summary and accompanying drawing) can be replaced by the alternative features providing purpose identical, equivalent or similar.
In addition, those skilled in the art it will be appreciated that, although embodiments more described herein include some feature included in other embodiments rather than further feature, but the combination of the feature of different embodiment means to be within the scope of the present invention and form different embodiments.Such as, in the following claims, the one of any of embodiment required for protection can mode use in any combination.
Additionally, some in described embodiment be described as at this can by the processor of computer system or the method implemented by other device performing described function or the combination of method element.Therefore, the processor with the necessary instruction for implementing described method or method element is formed for implementing the method or the device of method element.Additionally, the element described herein of device embodiment is the example of following device: this device is for implementing the function performed by the element of the purpose in order to implement this invention.
As used in this, unless specifically stated so, use ordinal number " first ", " second ", " the 3rd " etc. to describe plain objects and be merely representative of the different instances relating to similar object, and be not intended to imply the object being so described must have the time upper, spatially, sequence aspect or in any other manner to definite sequence.
Although the embodiment according to limited quantity describes the present invention, but benefits from above description, those skilled in the art understand, in the scope of the present invention thus described, it can be envisaged that other embodiments.Additionally, it should be noted that the language used in this specification is primarily to purpose that is readable and that instruct and selects, rather than select to explain or limit the theme of the present invention.Therefore, when not necessarily departing from the scope of the appended claims and spirit, many modifications and changes will be apparent from for those skilled in the art.For the scope of the present invention, disclosing that the present invention is done is illustrative and not restrictive, and it is intended that the scope of the present invention be defined by the claims appended hereto.
Claims (10)
1. an adaptive content resource allocation methods, performs in the server, including:
The first inquiry subset in the inquiry set relevant to content resource is used to test the matching degree of user and content resource type or grade, including:
The first inquiry subset is sent to mobile terminal；
Receive user and inquire that to first the feedback of subset is to carry out level evaluation and test,
The method also includes:
Using the second inquiry subset in inquiry set to test the matching degree of user and content resource type or grade, the difficulty of wherein said second inquiry subset is according to user, the first feedback inquiring subset to be selected；
To the first feedback inquiring subset and inquire that the feedback of subset calculates the matching degree of user and content resource type or grade according at least user to second, and described matching degree is sent to mobile terminal；With
The content resource of type corresponding with matching degree or grade is sent to mobile terminal.
2. adaptive content resource allocation methods as claimed in claim 1, wherein, described content resource and the inquiry in described inquiry set are divided into multiple grade of difficulty.
3. adaptive content resource allocation methods as claimed in claim 1, wherein, the step of the described content resource sending type corresponding with matching degree or grade to mobile terminal farther includes: send the content resource with matching degree and the corresponding type of user characteristics or grade to mobile terminal.
4. adaptive content resource allocation methods as claimed in claim 3, wherein, described user characteristics includes basic feature and acquistion feature, wherein,
Basic feature includes the sex of user, age, educational background, interest；
Acquistion feature includes the content resource of user and obtains custom, forgetting curve, weak content unit.
5. adaptive content resource allocation methods as claimed in claim 1, wherein, the first inquiry subset in inquiry set relevant to content resource in described use also includes: accept Account Registration and the login of user before testing the step of matching degree of user and content resource type or grade.
6. a server, including:
First memory module, is suitable to storage content resource and inquiry set；
Matching degree evaluation and test module, is adapted in use to the first inquiry subset in the inquiry set relevant to content resource to test the matching degree of user and content resource type or grade, including:
The first inquiry subset is sent to mobile terminal；
Receive user and inquire that to first the feedback of subset is to carry out level evaluation and test；With
Content resource distribution module, is suitable to send the content resource of type corresponding with matching degree or grade to mobile terminal,
Wherein, described matching degree evaluation and test module is further adapted for: using the second inquiry subset in inquiry set to test the matching degree of user and content resource type or grade, the difficulty of wherein said second inquiry subset is according to user, the first feedback inquiring subset to be selected；And to the first feedback inquiring subset and inquire that the feedback of subset calculates the matching degree of user and content resource type or grade according at least user to second, and described matching degree is sent to mobile terminal.
7. an adaptive content resource acquiring method, performs in the terminal, including:
The first inquiry subset in the inquiry set relevant to content resource is used to test the matching degree of user and content resource type or grade, including:
The first inquiry subset is obtained from server；
Described first inquiry subset is presented to user；
Receive user and to the first feedback inquiring subset and send it to server to carry out level evaluation and test,
The method also includes:
Using the second inquiry subset in inquiry set to test the matching degree of user and content resource type or grade, the difficulty of wherein said second inquiry subset is that the first feedback inquiring subset is selected by server according to user；
The basis at least user matching degree to the first feedback inquiring subset and the user that the second feedback inquiring subset is calculated and content resource type or grade is obtained from server；With
The content resource of type corresponding with matching degree or grade is obtained from server.
8. an adaptive content resource acquisition device, resident in the terminal, this device includes:
Evaluation and test module, is adapted in use to the first inquiry subset in the inquiry set relevant to content resource to test the matching degree of user and content resource type or grade, including:
The first inquiry subset is obtained from server；
Described first inquiry subset is presented to user；
Receive user and to the first feedback inquiring subset and send it to server to carry out level evaluation and test；
Acquisition module, is suitable to obtain the content resource of type corresponding with matching degree or grade from server；With
Second memory module, is suitable to store the content resource obtained from server,
Wherein, described evaluation and test module is further adapted for: using the second inquiry subset in inquiry set to test the matching degree of user and content resource type or grade, the difficulty of wherein said second inquiry subset is that the first feedback inquiring subset is selected by server according to user；And obtain the basis at least user matching degree to the first feedback inquiring subset and the user that the second feedback inquiring subset is calculated and content resource type or grade from server.
9. a mobile terminal, including adaptive content resource acquisition device as claimed in claim 8.
10. an adaptive content resource allocation system, including:
At least one server as claimed in claim 6；With
At least one mobile terminal as claimed in claim 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610105096.7A CN105787033A (en) | 2016-02-25 | 2016-02-25 | Self-adaptation content resource distribution method and device and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610105096.7A CN105787033A (en) | 2016-02-25 | 2016-02-25 | Self-adaptation content resource distribution method and device and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105787033A true CN105787033A (en) | 2016-07-20 |
Family
ID=56403756
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610105096.7A Pending CN105787033A (en) | 2016-02-25 | 2016-02-25 | Self-adaptation content resource distribution method and device and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105787033A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107343053A (en) * | 2017-08-01 | 2017-11-10 | 骆德轩 | A kind of content recommendation method |
| CN108536601A (en) * | 2018-04-13 | 2018-09-14 | 腾讯科技（深圳）有限公司 | A kind of evaluating method, device, server and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090013002A1 (en) * | 2007-03-31 | 2009-01-08 | Sony Deutschland Gmbh | Method for content recommendation |
| CN102194344A (en) * | 2011-06-02 | 2011-09-21 | 广州良师益友教育软件有限公司 | Test question generation system and implementation method thereof |
| CN104408985A (en) * | 2014-12-17 | 2015-03-11 | 李莎 | Cloud-network-based answering learning method and system |
| CN104835087A (en) * | 2015-04-30 | 2015-08-12 | 泸州市金点教育科技有限公司 | Data processing method and apparatus for education test system |
| CN104933121A (en) * | 2015-06-09 | 2015-09-23 | 李兆添 | Method, device and system for testing foreign language learning and language competence |
| CN104933163A (en) * | 2015-06-26 | 2015-09-23 | 广西中烟工业有限责任公司 | Product customization system based on social group and product customization method based on social group |
-
2016
- 2016-02-25 CN CN201610105096.7A patent/CN105787033A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090013002A1 (en) * | 2007-03-31 | 2009-01-08 | Sony Deutschland Gmbh | Method for content recommendation |
| CN102194344A (en) * | 2011-06-02 | 2011-09-21 | 广州良师益友教育软件有限公司 | Test question generation system and implementation method thereof |
| CN104408985A (en) * | 2014-12-17 | 2015-03-11 | 李莎 | Cloud-network-based answering learning method and system |
| CN104835087A (en) * | 2015-04-30 | 2015-08-12 | 泸州市金点教育科技有限公司 | Data processing method and apparatus for education test system |
| CN104933121A (en) * | 2015-06-09 | 2015-09-23 | 李兆添 | Method, device and system for testing foreign language learning and language competence |
| CN104933163A (en) * | 2015-06-26 | 2015-09-23 | 广西中烟工业有限责任公司 | Product customization system based on social group and product customization method based on social group |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107343053A (en) * | 2017-08-01 | 2017-11-10 | 骆德轩 | A kind of content recommendation method |
| CN108536601A (en) * | 2018-04-13 | 2018-09-14 | 腾讯科技（深圳）有限公司 | A kind of evaluating method, device, server and storage medium |
| CN108536601B (en) * | 2018-04-13 | 2022-05-31 | 腾讯科技（深圳）有限公司 | Evaluation method, device, server and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9471219B2 (en) | Text recognition apparatus and method for a terminal | |
| CN104866505B (en) | Application recommendation method and device | |
| CN107329750A (en) | The recognition methods of advertisement page, jump method and mobile terminal in application program | |
| US20160132866A1 (en) | Device, system, and method for creating virtual credit card | |
| CN104485116B (en) | Voice quality assessment equipment, method and system | |
| WO2015014144A1 (en) | Method and apparatus for installing application, and terminal device | |
| CN104378435B (en) | The browser of computing device and the file of mobile terminal transmit | |
| CN104376090B (en) | The browser of computing device and the screen synch of mobile terminal | |
| TWI584145B (en) | Biometrics data recognition apparatus, system, method and computer readable medium | |
| CN106131133B (en) | Browsing history record information viewing method, device and system | |
| CN103501382A (en) | Voice service providing method, device and terminal | |
| CN104662577A (en) | Apparatus for uploading contents, user terminal apparatus for downloading contents, server, contents sharing system and their contents sharing method | |
| US20160364495A1 (en) | Url error-correcting method, server, terminal and system | |
| CN104580019A (en) | Network service supplying method and device | |
| CN104486371B (en) | Batch downloads the device and method of file | |
| US20150026150A1 (en) | Using smart push to retrieve search results based on a set period of time and a set keyword when the set keyword falls within top popular search ranking during the set time period | |
| US20150356081A1 (en) | Advanced camera management function | |
| CN105512033A (en) | Automated testing method and device of mobile terminal and mobile terminal | |
| CN105208065A (en) | File transmitting method and device | |
| CN106844689A (en) | A kind of paged data synchronous method, apparatus and system | |
| CN104240278A (en) | Determination of device body location | |
| CN106776917A (en) | A kind of method and apparatus for obtaining resource file | |
| CN109327534A (en) | A kind of document transmission method, device, terminal and storage medium | |
| CN105787033A (en) | Self-adaptation content resource distribution method and device and system | |
| US20130318584A1 (en) | Learning information on usage by a user, of one or more device(s), for cumulative inference of user's situation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160720 |