CN106228392A - Evaluation management method and device - Google Patents

Evaluation management method and device Download PDF

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Publication number
CN106228392A
CN106228392A CN201610561696.4A CN201610561696A CN106228392A CN 106228392 A CN106228392 A CN 106228392A CN 201610561696 A CN201610561696 A CN 201610561696A CN 106228392 A CN106228392 A CN 106228392A
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evaluating data
data
evaluating
predetermined
user
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相里飞
陈宝可
钱庄
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Beijing Xiaomi Mobile Software Co Ltd
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Beijing Xiaomi Mobile Software Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0282Rating or review of business operators or products

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Abstract

The disclosure is directed to evaluation management method and apparatus.The method includes: obtain the same user at least two different latitude evaluating data to same application;Judge whether at least one in described at least two different latitude evaluating data is non-objective evaluation data;If at least one in described at least two different latitude evaluating data is non-objective evaluation data, using the evaluating data in addition to described non-objective evaluation data as the described user final evaluating data to described application.This technical scheme provides the user the evaluation option of at least two different latitude, the evaluation information submitted to for user, therefrom can filter out more fair evaluating data valuable to other users by mathematical method.

Description

Evaluation management method and device
Technical field
It relates to Internet technical field, particularly relate to a kind of evaluation management method and device.
Background technology
At present, in the evaluation management system of application, find application that some Consumer's Experience are good (be common in community's class or Foodstuff is applied) evaluation of a star (minimum star) is but given by substantial amounts of real user, but in the literal field of comment The language of " this application quality is the best to protect this application is the most recommended, do not seen by other users " occurs the most repeatedly. By substantial amounts of user behavior analysis with after visiting, learn the mentality motivation of this type of user behavior be this application of highly recognition should By quality, but it is unwilling to be seen that this is applied by more user, prevents developer from reducing after obtaining more users former There is the service quality of earlier user.But this behavior objectively causes injury to the developer of application, also causes that answers to comment Valency management system receives very many complaints.
Summary of the invention
Disclosure embodiment provides evaluation management method and apparatus.Described technical scheme is as follows:
First aspect according to disclosure embodiment, it is provided that a kind of evaluation management method, including:
Obtain the same user at least two different latitude evaluating data to same application;
Judge whether at least one in described at least two different latitude evaluating data is non-objective evaluation data;
If at least one in described at least two different latitude evaluating data is non-objective evaluation data, will be except described Evaluating data outside non-objective evaluation data is as the described user final evaluating data to described application.
Wherein, whether at least one judged in described at least two different latitude evaluating data described is non-objective evaluation Data, including:
The first predetermined evaluating data in described at least two different latitude evaluating data is more than or equal to the first predetermined threshold Value, and when the second predetermined evaluating data in described at least two different latitude evaluating data is less than the second predetermined threshold, by institute State the second predetermined evaluating data and be defined as non-objective evaluation data.
Wherein, described at least two different latitude evaluating data includes: evaluating data based on quality and based on recommend journey The evaluating data of degree.
Wherein, described first predetermined evaluating data is evaluating data based on quality, and described second predetermined evaluating data is Based on the evaluating data recommending degree.
Wherein, when described second predetermined evaluating data is less than the second predetermined threshold, also include:
Obtain the page browsing operation of described user, it is judged that described user selects whether the page browsed is searched page;
If it is, show described application in described result of page searching, if it is not, then select to browse described user The page in hide described application.
Wherein, described first predetermined threshold is the intermediate value in described first predetermined evaluating data range of value, described Two predetermined thresholds are the intermediate value in the range of value of described second predetermined evaluating data.
Wherein, described method also includes:
If described at least two different latitude evaluating data is objective evaluation data, then by described at least two not suspension The meansigma methods of degree evaluating data is as the described user final evaluating data to described application.
Second aspect according to disclosure embodiment, it is provided that a kind of evaluation management device, including:
Acquisition module, for obtaining the same user at least two different latitude evaluating data to same application;
Judge module, for judge in described at least two different latitude evaluating data at least one whether be non-objective Evaluating data;
First evaluation module, if at least one in the described at least two different latitude evaluating data objective is commented for non- Valence mumber according to time, using the evaluating data in addition to described non-objective evaluation data as the described user final evaluation to described application Data.
Wherein, described judge module, including:
Judge submodule, the first predetermined evaluating data in described at least two different latitude evaluating data more than or Equal to the first predetermined threshold, and the second predetermined evaluating data in described at least two different latitude evaluating data is pre-less than second When determining threshold value, described second predetermined evaluating data is defined as non-objective evaluation data.
Wherein, described at least two different latitude evaluating data includes: evaluating data based on quality and based on recommend journey The evaluating data of degree.
Wherein, described first predetermined evaluating data is evaluating data based on quality, and described second predetermined evaluating data is Based on the evaluating data recommending degree.
Wherein, described device also includes:
Hide module, when described second predetermined evaluating data is less than the second predetermined threshold,
Obtain the page browsing operation of described user, it is judged that described user selects whether the page browsed is searched page; If it is, show described application in described result of page searching, if it is not, then in described user selects the page browsed Hide described application.
Wherein, described first predetermined threshold is the intermediate value in described first predetermined evaluating data range of value, described Two predetermined thresholds are the intermediate value in the range of value of described second predetermined evaluating data.
Wherein, described device also includes:
Second evaluation module, if being used for described at least two different latitude evaluating data to be objective evaluation data, then will The meansigma methods of described at least two different latitude evaluating data is as the described user final evaluating data to described application.
The third aspect according to disclosure embodiment, it is provided that a kind of evaluation management device, including:
Processor;
For storing the memorizer of processor executable;
Wherein, described processor is configured to:
Obtain the same user at least two different latitude evaluating data to same application;
Judge whether at least one in described at least two different latitude evaluating data is non-objective evaluation data;
If at least one in described at least two different latitude evaluating data is non-objective evaluation data, will be except described Evaluating data outside non-objective evaluation data is as the described user final evaluating data to described application.
Embodiment of the disclosure that the technical scheme of offer can include following beneficial effect:
Technique scheme, by analyzing the same user evaluating data to the multiple different latitude of same application, finds out Objective evaluation data, using objective evaluation data as the user's final evaluating data to this application.Such as, different classes of evaluation Data difference more greatly different, as the first evaluating data more than predetermined threshold i.e. within favorable comment category, and the second evaluate number According to less than certain threshold value i.e. within difference comments category, now may determine that the second evaluating data is non-objective evaluation data, Objective appraisal data at last, as this user evaluating data to this application, hide this application to this user simultaneously.Use this Open, provide the user the evaluation option of at least two different latitude, the evaluation information submitted to for user, therefrom can be by number Method filters out more fair evaluating data valuable to other users, carries out data examination for this user simultaneously, for User manufactures the illusion of " application being not intended to be seen by others would not be seen by others ", meets the psychological need of user.
It should be appreciated that it is only exemplary and explanatory, not that above general description and details hereinafter describe The disclosure can be limited.
Accompanying drawing explanation
Accompanying drawing herein is merged in description and constitutes the part of this specification, it is shown that meet the enforcement of the disclosure Example, and for explaining the principle of the disclosure together with description.
Fig. 1 is the flow chart according to the evaluation management method shown in an exemplary embodiment.
Fig. 2 is the flow chart according to the evaluation management method shown in an exemplary embodiment one.
Fig. 3 is according to evaluating application interface display schematic diagram in the evaluation management method shown in an exemplary embodiment one;
Fig. 4 is the block diagram according to the evaluation management device shown in an exemplary embodiment.
Fig. 5 is according to the block diagram being applicable to evaluation management device shown in an exemplary embodiment.
Detailed description of the invention
Here will illustrate exemplary embodiment in detail, its example represents in the accompanying drawings.Explained below relates to During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represents same or analogous key element.Following exemplary embodiment Described in embodiment do not represent all embodiments consistent with the disclosure.On the contrary, they are only with the most appended The example of the apparatus and method that some aspects that described in detail in claims, the disclosure are consistent.
Fig. 1 is the flow chart according to a kind of evaluation management method shown in an exemplary embodiment, as it is shown in figure 1, described Evaluation management method in the server, comprises the following steps 101-103:
In a step 101, the same user at least two different latitude evaluating data to same application is obtained;
In the present embodiment, it is possible to provide a kind of evaluation management system, management system includes the evaluative dimension that at least two is different, User use certain application after, this application can be evaluated, terminal management system after receiving evaluating data by this evaluation Data are sent to server end, server thus obtain the evaluating data of this user.
In a step 102, it is judged that whether at least one in described at least two different latitude evaluating data is non-objective Evaluating data;
In one embodiment, non-objective evaluation data are user based on some self reason, the deviation providing application The evaluating data of objective fact, such as, for an application, user admits the quality of this application, experiences preferably, and also often buying should Application, time every time to this applicating evaluating, what evaluating data user based on quality was given is just to divide, but based on the evaluation recommended Data are negative point, and i.e. it does not recommend other users to buy this application, it is seen then that for same application, evaluating data based on quality With based on recommend evaluating data contradict, trace it to its cause, it may be possible to user in order to prevent this application from being used by too many user, and Cause degradation under application quality, and the evaluation provided, it can thus be assumed that user to this application based on the evaluating data right and wrong recommended Objective evaluation data.Objective evaluation data are the evaluation that the real experiences such as user's quality based on application itself are given. Such as, for an application, user admits the quality of this application, experiences preferably, and often buys this application, comments this application every time During valency, evaluating data based on quality and based on recommend evaluating data be all just to divide, it is seen that based on quality and based on recommend Evaluating data maintains concordance, and the most this evaluating data can be to be considered objective evaluation data.
In step 103, if at least one in described at least two different latitude evaluating data is non-objective evaluation number According to time, described application is finally evaluated number as described user by the evaluating data in addition to described non-objective evaluation data According to.
In the present embodiment, by analyzing the same user evaluating data to the multiple different latitude of same application, find out Objective evaluation data, using objective evaluation data as the user's final evaluating data to this application.Such as, different classes of evaluation Data difference more greatly different, as the first evaluating data more than predetermined threshold i.e. within favorable comment category, and the second evaluate number According to less than certain threshold value i.e. within difference comments category, now may determine that the second evaluating data is non-objective evaluation data, Objective appraisal data at last as this user evaluating data to this application, and objective appraisal data are sent to terminal should It is shown with shop.
The said method that the present embodiment provides is applicable in the evaluation management system in application shop, and user is buying and making After commodity with application shop, the evaluation using said method to make commodity is managed, it is possible to delay to a certain extent Solve and improve currently in the industry of application shop increasing user's spontaneity the poorest of high quality applications is commented behavior, The most institutional guarantee will be provided for developer, prevent high-quality application owing to the impact of public relations problem is the list row in application shop Position and acceptance of the users.
In one embodiment, applicating evaluating management system provides a user with the evaluation of at least two dimension for same application Option, is evaluated application from different perspectives for user.According to user, the selection of described evaluation option is obtained same user Described at least two dimension evaluating data to same application.In one embodiment, described at least two dimension evaluating data bag Include evaluating data based on quality and based on the evaluating data recommended.Evaluating data based on quality includes that user is to this application Quality score, includes user's recommendation degree to this application based on the evaluating data recommended.
In one embodiment, obtain user to application at least two different latitude evaluating data after, it is judged that described extremely Whether at least one in few two kinds of different latitude evaluating datas is non-objective evaluation data.In actual applications, user may Based on some self consideration, same application is provided diametrically opposite evaluating data.Such as, user experiences good for one Application, the quality score be given is the highest, and the recommendation degree be given is the lowest, and this user of being likely due to thinks that protection should Application is not found by other people, and worrying that the people used is many can affect its quality and service etc..For this situation, it is clear that user gives The evaluation of the recommendation degree gone out be non-objectively.Therefore, in the present embodiment, at least two not suspension judging to be obtained is needed Whether degree evaluating data is non-objective evaluation data.
In one embodiment, whether at least one judged in described at least two different latitude evaluating data described is non- Objective evaluation data, including: the first predetermined evaluating data in described at least two different latitude evaluating data is more than or equal to First predetermined threshold, and the second predetermined evaluating data in described at least two different latitude evaluating data is less than the second predetermined threshold During value, described second predetermined evaluating data is defined as non-objective evaluation data.By setting the first predetermined threshold and second pre- Determine threshold value, and be given more than or equal to the predetermined evaluating data of the first predetermined threshold that is first at the first predetermined evaluating data is willing Accepted opinion valency, and the whether accepted opinion valency that the second predetermined evaluating data is given less than the predetermined evaluating data of the second predetermined threshold that is second Time, it can be determined that going out described second predetermined evaluating data is non-objective evaluation data.See with practical conditions, for same application, The evaluation of same user has concordance mostly, the most no matter in terms of which dimension, if user provides affirmative to a certain application Evaluate, then should be all affirmative in terms of the scoring of which dimension, and be the evaluation of affirmative if there is one of which, And another be negative evaluation time, can be inferred that user to the evaluation of this application be non-objectively.Furthermore, from actual go out Sending out, user once evaluates whether timing to an application, and the evaluating data of different latitude can be the most all negative in most cases , and user is certainly once the evaluation applied, considers based on some, as protected these commodity not to be found Deng, to application a latitude such as quality provides affirmative evaluation time, to apply another latitude such as recommendation degree can provide negative Evaluate.Therefore, in the present embodiment, when differentiation degree at least two dimension evaluating data occur is relatively big, i.e. a kind of for certainly to comment Valency and another kind of when evaluating for negative, it is believed that be wherein given the evaluating data that negative evaluates be non-objectively.
In one embodiment, the centre in described first predetermined threshold is described first predetermined evaluating data range of value Value, described second predetermined threshold is the intermediate value in the range of value of described second predetermined evaluating data.Generally carrying for user When supplying the evaluation option of different dimensions, the range of value of the evaluating data corresponding to this dimension can be provided, if what user selected When evaluation score is more than the range of value intermediate value be given, it can be assumed that user is certainly to this dimension evaluation of this application , and when user selects evaluation score below the range of value intermediate value provided, it is believed that user's this dimension to this application It is fixed that degree evaluates whether.Therefore, by the first predetermined threshold and the second predetermined threshold being set to corresponding dimension in the present embodiment The intermediate value of range of value evaluated, determines whether the evaluating data of the different dimensions that user provides for same application is phase Anti-.
In one embodiment, if at least one in described at least two different latitude evaluating data is non-objective evaluation number According to time, described application is finally evaluated number as described user by the evaluating data in addition to described non-objective evaluation data According to.When there are non-objective evaluation data in determining described at least two different dimensions evaluating data, can be non-objective by this Evaluating data is rejected, and only with objective appraisal data as the user's final evaluating data to this application.This mode can To avoid the reason such as selfishness due to user, and cause the evaluation to application inaccurate.
In another embodiment, if described at least two different latitude evaluating data is objective evaluation data, then by institute State the meansigma methods of at least two different latitude evaluating data as the described user final evaluating data to described application.Determining When described at least two different dimensions evaluating data is objective evaluation data, for the evaluation number of comprehensive two kinds of different dimensions According to, and the final evaluating data of this application is set to by user the meansigma methods of the evaluating data of two kinds of different dimensions.
In one embodiment, if described second predetermined evaluating data is less than the second predetermined threshold, also include: except search knot Really in the data outside the page, hide described application to described user.It is to comment based on quality for the first predetermined evaluating data Valence mumber evidence, and when the second predetermined evaluating data is based on the evaluating data recommended, if user is for based on the evaluation number recommended According to for negative evaluation, then user does not wants to allow others see this application.In this case, except the page at Search Results Outside, this user can be hidden this application, to meet the psychological need of user.For the accuracy searched for, at Search Results The page preferably can not hide this application.
Carry out technical scheme of this disclosure below by specific embodiment to illustrate.
In one embodiment, enter as a example by evaluating data based on quality and two kinds of dimensions of evaluating data based on recommendation Row detailed description, as shown in Figure 2.Idiographic flow is as follows:
In step 201, the user evaluating data A based on quality to application is obtained;
In step 202., this user evaluating data B based on recommendation to this application is obtained;
In step 203, it is judged that whether evaluating data A based on quality is more than or equal to evaluating data based on quality Range of value intermediate value, if based on the evaluating data A of quality more than or equal to the range of value of evaluating data based on quality Intermediate value, then go to step 204, otherwise turn 207;
In step 204, it is judged that based on the evaluating data B recommended whether less than evaluation model based on the evaluating data recommended Enclose intermediate value, if based on the evaluating data B recommended less than range of value intermediate value based on the evaluating data recommended, then turn step Rapid 205, otherwise turn 207;
In step 205, using evaluating data based on quality as this user final evaluating data to this application;
In step 206, in addition to result of page searching, hide this application to this user;
In step 207, using the meansigma methods of evaluating data A based on quality and evaluating data B based on recommendation as this The user's final evaluating data to this application.
As a example by application shop, as it is shown on figure 3, when the commodity in application shop are evaluated by user, provide the user The evaluation option of two kinds of dimensions is recommended in application quality and application, and user can comment by selecting application quality and application to recommend two Valency option star below is application marking, and full marks are five stars, minimum are divided into a star, and terminal, will after receiving system marking Marking result is uploaded onto the server end.
In the present embodiment, server end by obtain user to application evaluating data based on quality and based on recommend Evaluating data, and at evaluating data based on quality more than or equal to intermediate value, and in being less than based on the evaluating data recommended Between value time, it is believed that user be based on recommend evaluating data be non-objective data, evaluating data based on quality the most at last As the user's final evaluating data to this application, hide this to this user simultaneously and quote;And in the case of other, will be based on quality Evaluating data and meansigma methods based on the evaluating data recommended as user's evaluating data to this application.By this technical side Case, can get rid of user when providing non-objective evaluation owing to individual's reason is such as not desired to be seen the second best in quality commodity etc., Cause the distortion of applicating evaluating, simultaneously in order to meet user psychology demand, at the grading number based on recommendation that user's correspondence provides According to time the most objective, hide this application to user.
Following for disclosure device embodiment, may be used for performing method of disclosure embodiment.
Fig. 4 is the block diagram according to a kind of evaluation management device shown in an exemplary embodiment, and this device can be by soft Part, hardware or both be implemented in combination with become the some or all of of electronic equipment.As shown in Figure 4, this evaluation management device Including:
In acquisition module 301, for obtaining the same user at least two different latitude evaluating data to same application; Described at least two different latitude evaluating data includes: evaluating data based on quality and evaluating data based on recommendation degree; Described first predetermined evaluating data is evaluating data based on quality, and described second predetermined evaluating data is based on recommending degree Evaluating data;
In judge module 302, for judge in described at least two different latitude evaluating data at least one whether For non-objective evaluation data;Described first predetermined threshold is the intermediate value in described first predetermined evaluating data range of value, institute State the intermediate value in the range of value that the second predetermined threshold is described second predetermined evaluating data;In judging submodule 3021, The first predetermined evaluating data in described at least two different latitude evaluating data is more than or equal to the first predetermined threshold, and When the second predetermined evaluating data in described at least two different latitude evaluating data is less than the second predetermined threshold, by described second Predetermined evaluating data is defined as non-objective evaluation data;
In the first evaluation module 303, if at least one in described at least two different latitude evaluating data is During non-objective evaluation data, using the evaluating data in addition to described non-objective evaluation data as described user to described application Final evaluating data;
In hiding module 304, when described second predetermined evaluating data is less than the second predetermined threshold, except Search Results In data outside the page, hide described application to described user;
In the second evaluation module 305, if being objective evaluation number for described at least two different latitude evaluating data According to, then described application is finally evaluated number as described user by the meansigma methods of described at least two different latitude evaluating data According to.
In the present embodiment, acquisition module 301 obtains user's evaluating data to two kinds of different dimensions of same application, including Evaluating data based on quality and evaluating data based on recommendation, it is judged that the judgement submodule 3021 in module 302 judges described Whether evaluating data based on quality is more than or equal to the first predetermined threshold, the most pre-less than second based on the evaluating data recommended In determining in the range of value of threshold value, described first predetermined threshold and the second predetermined threshold respectively evaluating data based on quality Between value and based on recommend evaluating data range of value in intermediate value;Described first evaluation module 303 is based on quality Evaluating data is more than or equal to the first predetermined threshold, and when being less than the second predetermined threshold based on the evaluating data recommended, will be based on matter The evaluating data of amount as this user evaluating data to this application, hide simultaneously module 304 except result of page searching it Outward, this application is hidden to user;Described second evaluation module 305 in other cases, by evaluating data based on quality and base In the evaluating data recommended as this user evaluating data to this application.
The third aspect according to disclosure embodiment, it is provided that a kind of evaluation management device, including:
Processor;
For storing the memorizer of processor executable;
Wherein, processor is configured to:
Obtain the same user at least two different latitude evaluating data to same application;
Judge whether at least one in described at least two different latitude evaluating data is non-objective evaluation data;
If at least one in described at least two different latitude evaluating data is non-objective evaluation data, will be except described Evaluating data outside non-objective evaluation data is as the described user final evaluating data to described application.
Above-mentioned processor is also configured to:
Whether at least one judged in described at least two different latitude evaluating data described is non-objective evaluation data, Including:
The first predetermined evaluating data in described at least two different latitude evaluating data is more than or equal to the first predetermined threshold Value, and when the second predetermined evaluating data in described at least two different latitude evaluating data is less than the second predetermined threshold, by institute State the second predetermined evaluating data and be defined as non-objective evaluation data.
Described at least two different latitude evaluating data includes: evaluating data based on quality and based on recommending the commenting of degree Valence mumber evidence.
Described first predetermined evaluating data is evaluating data based on quality, and described second predetermined evaluating data is for based on pushing away Recommend the evaluating data of degree.
When described second predetermined evaluating data is less than the second predetermined threshold, also include:
In data in addition to result of page searching, hide described application to described user.
Described first predetermined threshold is the intermediate value in described first predetermined evaluating data range of value, and described second makes a reservation for Threshold value is the intermediate value in the range of value of described second predetermined evaluating data.
Also include: if described at least two different latitude evaluating data is objective evaluation data, then by described at least two The meansigma methods of kind of different latitude evaluating data is as the described user final evaluating data to described application.
About the device in above-described embodiment, wherein modules performs the concrete mode of operation in relevant the method Embodiment in be described in detail, explanation will be not set forth in detail herein.
Fig. 5 is according to a kind of block diagram for evaluation management device shown in an exemplary embodiment.Such as, device 1900 May be provided in a server.Device 1900 includes processing assembly 1922, and it farther includes one or more processor, with And by the memory resource representated by memorizer 1932, can such as should by the instruction of the execution processing assembly 1922 for storage Use program.In memorizer 1932 application program of storage can include one or more each corresponding to one group of instruction Module.It is configured to perform instruction, to perform said method additionally, process assembly 1922.
Device 1900 can also include a power supply module 1926 be configured to perform device 1900 power management, one Wired or wireless network interface 1950 is configured to be connected to device 1900 network, and input and output (I/O) interface 1958.Device 1900 can operate based on the operating system being stored in memorizer 1932, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM or similar.
A kind of non-transitory computer-readable recording medium, when the instruction in described storage medium is by the process of device 1900 When device performs so that device 1900 is able to carry out the method for above-mentioned evaluation management, and described method includes:
Obtain the same user at least two different latitude evaluating data to same application;
Judge whether at least one in described at least two different latitude evaluating data is non-objective evaluation data;
If at least one in described at least two different latitude evaluating data is non-objective evaluation data, will be except described Evaluating data outside non-objective evaluation data is as the described user final evaluating data to described application.
Whether at least one judged in described at least two different latitude evaluating data described is non-objective evaluation data, Including:
The first predetermined evaluating data in described at least two different latitude evaluating data is more than or equal to the first predetermined threshold Value, and when the second predetermined evaluating data in described at least two different latitude evaluating data is less than the second predetermined threshold, by institute State the second predetermined evaluating data and be defined as non-objective evaluation data.
Described at least two different latitude evaluating data includes: evaluating data based on quality and based on recommending the commenting of degree Valence mumber evidence.
Described first predetermined evaluating data is evaluating data based on quality, and described second predetermined evaluating data is for based on pushing away Recommend the evaluating data of degree.
When described second predetermined evaluating data is less than the second predetermined threshold, also include:
In data in addition to result of page searching, hide described application to described user.
Described first predetermined threshold is the intermediate value in described first predetermined evaluating data range of value, and described second makes a reservation for Threshold value is the intermediate value in the range of value of described second predetermined evaluating data.
Described method also includes: if described at least two different latitude evaluating data is objective evaluation data, then by institute State the meansigma methods of at least two different latitude evaluating data as the described user final evaluating data to described application.
Those skilled in the art, after considering description and putting into practice disclosure disclosed herein, will readily occur to its of the disclosure Its embodiment.The application is intended to any modification, purposes or the adaptations of the disclosure, these modification, purposes or Person's adaptations is followed the general principle of the disclosure and includes the undocumented common knowledge in the art of the disclosure Or conventional techniques means.Description and embodiments is considered only as exemplary, and the true scope of the disclosure and spirit are by following Claim is pointed out.
It should be appreciated that the disclosure is not limited to precision architecture described above and illustrated in the accompanying drawings, and And various modifications and changes can carried out without departing from the scope.The scope of the present disclosure is only limited by appended claim.

Claims (15)

1. an evaluation management method, it is characterised in that including:
Obtain the same user at least two different latitude evaluating data to same application;
Judge whether at least one in described at least two different latitude evaluating data is non-objective evaluation data;
If at least one in described at least two different latitude evaluating data is non-objective evaluation data, will be except described non-visitor See evaluating data outside evaluating data as the described user final evaluating data to described application.
2. the method for claim 1, it is characterised in that in described judgement described at least two different latitude evaluating data At least one whether be non-objective evaluation data, including:
The first predetermined evaluating data in described at least two different latitude evaluating data is more than or equal to the first predetermined threshold, and When the second predetermined evaluating data in described at least two different latitude evaluating data is less than the second predetermined threshold, by described second Predetermined evaluating data is defined as non-objective evaluation data.
3. method as claimed in claim 2, it is characterised in that described at least two different latitude evaluating data includes: based on The evaluating data of quality and evaluating data based on recommendation degree.
4. method as claimed in claim 3, it is characterised in that described first predetermined evaluating data is evaluation number based on quality According to, described second predetermined evaluating data is based on the evaluating data recommending degree.
5. method as claimed in claim 4, it is characterised in that described second predetermined evaluating data is less than the second predetermined threshold Time, also include:
Obtain the page browsing operation of described user, it is judged that described user selects whether the page browsed is searched page;
If it is, show described application in described result of page searching, if it is not, then select the page browsed described user Face hides described application.
6. the method as described in any one of claim 4, it is characterised in that described first predetermined threshold is described first pre-accepted opinion Valence mumber is according to the intermediate value in range of value, in described second predetermined threshold is the range of value of described second predetermined evaluating data Intermediate value.
7. the method for claim 1, it is characterised in that also include:
If described at least two different latitude evaluating data is objective evaluation data, then described at least two different latitude is commented The meansigma methods of valence mumber evidence is as the described user final evaluating data to described application.
8. an evaluation management device, it is characterised in that including:
Acquisition module, for obtaining the same user at least two different latitude evaluating data to same application;
Judge module, for judge in described at least two different latitude evaluating data at least one whether be non-objective evaluation Data;
First evaluation module, if at least one in described at least two different latitude evaluating data is non-objective evaluation number According to time, described application is finally evaluated number as described user by the evaluating data in addition to described non-objective evaluation data According to.
9. device as claimed in claim 8, it is characterised in that described judge module, including:
Judging submodule, the first predetermined evaluating data in described at least two different latitude evaluating data is more than or equal to First predetermined threshold, and the second predetermined evaluating data in described at least two different latitude evaluating data is less than the second predetermined threshold During value, described second predetermined evaluating data is defined as non-objective evaluation data.
10. device as claimed in claim 9, it is characterised in that described at least two different latitude evaluating data includes: based on The evaluating data of quality and evaluating data based on recommendation degree.
11. devices as claimed in claim 10, it is characterised in that described first predetermined evaluating data is evaluation based on quality Data, described second predetermined evaluating data is based on the evaluating data recommending degree.
12. devices as claimed in claim 11, it is characterised in that also include:
Hiding module, when described second predetermined evaluating data is less than the second predetermined threshold, the page obtaining described user is clear Look at operation, it is judged that described user selects whether the page browsed is searched page;If it is, in described result of page searching Show described application, if it is not, then hide described application in described user selects the page browsed.
13. devices as claimed in claim 11, it is characterised in that described first predetermined threshold is the described first predetermined evaluation number According to the intermediate value in range of value, described second predetermined threshold is the centre in the range of value of described second predetermined evaluating data Value.
14. devices as claimed in claim 8, it is characterised in that also include:
Second evaluation module, if being objective evaluation data, then by described for described at least two different latitude evaluating data The meansigma methods of at least two different latitude evaluating data is as the described user final evaluating data to described application.
15. 1 kinds of evaluation management devices, it is characterised in that including:
Processor;
For storing the memorizer of processor executable;
Wherein, described processor is configured to:
Obtain the same user at least two different latitude evaluating data to same application;
Judge whether at least one in described at least two different latitude evaluating data is non-objective evaluation data;
If at least one in described at least two different latitude evaluating data is non-objective evaluation data, will be except described non-visitor See evaluating data outside evaluating data as the described user final evaluating data to described application.
CN201610561696.4A 2016-07-15 2016-07-15 Evaluation management method and device Pending CN106228392A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108255886A (en) * 2016-12-29 2018-07-06 北京国双科技有限公司 The appraisal procedure and device of commending system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108255886A (en) * 2016-12-29 2018-07-06 北京国双科技有限公司 The appraisal procedure and device of commending system
CN108255886B (en) * 2016-12-29 2021-08-13 北京国双科技有限公司 Evaluation method and device of recommendation system

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Application publication date: 20161214