CN102855600A - Selective recommendation method for isomerism ability of mobile internet - Google Patents
Selective recommendation method for isomerism ability of mobile internet Download PDFInfo
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- CN102855600A CN102855600A CN2012102541760A CN201210254176A CN102855600A CN 102855600 A CN102855600 A CN 102855600A CN 2012102541760 A CN2012102541760 A CN 2012102541760A CN 201210254176 A CN201210254176 A CN 201210254176A CN 102855600 A CN102855600 A CN 102855600A
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Abstract
The invention discloses a selective recommendation method for isomerism ability of mobile internet. The method comprises the following steps of: building an ability index table of the management ability of an ability open platform in a formal expression model; expressing a demand of the isomerism ability of a user in the formal expression model to build a user demand table to realize correct understanding and accurate management of a user request; building a total profit expression function by using a performance index which is intended to be reached by the user and expenses which can be paid by the user as constraint conditions to find out a good combination x of the isomerism ability of which the total profit expression function is maximum; and recommending the combination to a client to meet the requirement on personalized customization of the user, so that the workload for manually picking by the user is lightened, the unnecessary spending caused by improper selection is reduced, and the ability use efficiency is improved.
Description
Technical field
The invention belongs to mobile internet technical field, more specifically say, relate to a kind of mobile Internet isomery ability and select recommend method.
Background technology
For many years, mobile communication and internet always are the two large business that the world today is with fastest developing speed, market potential is maximum, prospect is the most tempting, and two large professional common factors---development of Mobile Internet technology is constantly popularizing and fast development along with 3G technology and embedded technology also.
Ability open platform various abilities that provide, that serve mobile Internet (resource) are providing powerful function and huge easily while for mobile user application, also because many differences of type, price and performance index have been brought larger difficulty to industry research and development mobile Internet business.
The ability open platform is as supplier and the operator of ability, according to user's real demand, for the user provides intelligent ability combination, reduce user's overall use cost, improve the resource utilization of operator, become a current reality and urgent demand.
User's demand is multi abilities, i.e. isomery ability, existing isomery ability are selected (orders) and use to depend on the user manually to choose, have the large problem of selection workload, simultaneously, it is improper that selecting also can appear in artificial selection, cause user's unnecessary expenditures, the problem that the ability service efficiency is low.
The accurate understanding of user's request and accurately assurance, thereby the integrated demand framework that can provide according to the user, automatically choose the optimization ability combination that meets its demand for the user, alleviate the workload of the artificial selection of user and selected the improper unnecessary expenditures of bringing, also improved the ability service efficiency.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, provide a kind of mobile Internet isomery ability to select recommend method, to realize the accurate understanding of user's request and accurately assurance, the isomery ability that provides according to the user, automatically meet most the ability combination of user's request for user's sort out, satisfy the user individual customized demand, alleviate simultaneously the workload of the artificial selection of user, reduce to select the improper unnecessary expenditures of bringing, improve the ability service efficiency.
For achieving the above object, mobile Internet isomery ability of the present invention is selected recommend method, it is characterized in that, may further comprise the steps:
Step 1, ability open platform are set up the ability index according to the ability of management
Price, the performance index of ability are expressed model with the ability formalization come standard, and set up two-dimentional form according to capability names and corresponding type thereof, and be referred to as the external key of index with name, obtain the ability index;
Step 2, user's isomery ability need is expressed model tormulation with the demand formalization, make up the user capability demand schedule;
The isomery capability class that the user needs, to want the performance index that reach and the cost that self can pay be that expense is expressed model tormulation with formalization, obtains the user capability demand schedule;
Step 3, the user capability demand schedule is input to the ability open platform ability selection with optimize engine, in the ability concordance list, select more excellent structure ability combination, and recommend the user
3.1), want the performance index that reach and the expense that self can pay as constraint condition the user, make up overall income and express function, user's request is converted to following mathematic(al) representation:
maxF(x)
x∈R
Wherein, F (x) expresses function for overall income, the good and bad degree that is used for the combination of tolerance isomery ability, x is the isomery ability combination of selection, and R is all set that listed each capability class is chosen an ability formation ability combination of corresponding capability class in the user capability demand schedule in the ability index; It is more excellent structure ability combination that overall income is expressed the maximum isomery ability combination x of function F (x), and recommends the user;
The General Expression form that overall income is expressed function F (x) is:
Wherein, N is expense and each performance index, i.e. the number of optimization aim, F
i(x) be the income expression function of i demand optimization aim, corresponding to the rate more than needed of optimization aim; Described rate more than needed is in the given optimization aim threshold value of user, the cost number percent that still can bear on each optimization aim:
I is the optimization aim of demand, and the user is i for the maximum cost of this goal-setting
Max, and on this optimization aim, the current cost of paying is i
Now
3.2), ability selection optimization was divided into for two steps, the first step makes up an initial ability combination O, the ability in the initial ability combination is replaced in the second step circulation, until form more excellent structure ability combination;
A, user provide demand to M isomery capability class, and the competence set that each capability class comprises in the ability open platform is respectively P
1, P
2..., P
M, the method that makes up initial ability combination O is as follows:
A1 also makes initial ability combination O=Φ, and Φ represents empty set;
A2, from not processed capability class, choose a competence set P
j
A3, for competence set P
jIn R
jIndividual ability with its substitution initial ability combination O one by one, consists of R
jIndividual ability combination O '
1, O '
2...,
And calculate respectively overall income express function F (O '
k), k=1,2 ..., R
j, with overall income express function F (O '
k) maximum ability combination O '
kAs initial ability combination O, return step a2, until required competence set corresponding to whole capability class of user all is chosen complete;
A4, output initial ability combination O;
The ability among the initial ability combination O is replaced in circulation:
Among b1, the initial ability combination O, find the optimization aim of minimum degree more than needed;
B2, in the minimum optimization aim of degree more than needed, find to take the highest ability p of cost
Max, at this ability of ability open platform p
MaxUnder search capability p and replace the p of initial ability combination O in the capability class competence set
Max, the calculated population income is expressed function F (O), reduces if overall income is expressed function F (O), then keeps the replacement to initial ability combination O, if do not reduce, then abandons, until ability p
MaxUnder institute in the capability class competence set have the ability to search for complete;
B3, return step 1, until the optimization aim of minimum degree more than needed is identical;
B4, initial ability combination O are more excellent structure ability combination x;
3.3), more excellent structure ability combination x recommends the user.
The object of the present invention is achieved like this:
Mobile Internet isomery ability of the present invention is selected recommend method, the ability of ability open platform management is expressed model with formalization set up the ability concordance list, user's isomery ability need is expressed model with formalization to be expressed, make up the user capability demand schedule, realize the accurate understanding of user's request and accurately assurance.Then the isomery ability that provides according to the user, want the performance index that reach and the expense that self can pay as constraint condition with the user, make up overall income and express function, find its overall income to express the more excellent structure ability combination x of function maximum, and recommend the client, and satisfy the user individual customized demand, alleviate simultaneously the workload of the artificial selection of user, reduce to select the improper unnecessary expenditures of bringing, improve the ability service efficiency.
Description of drawings
Fig. 1 is that mobile Internet isomery ability of the present invention is selected recommend method one embodiment general frame flow graph.
Embodiment
Below in conjunction with accompanying drawing the specific embodiment of the present invention is described, so that those skilled in the art understands the present invention better.What need to point out especially is that in the following description, when perhaps the detailed description of known function and design can desalinate main contents of the present invention, these were described in here and will be left in the basket.
Fig. 1 is that mobile Internet isomery ability of the present invention is selected recommend method one embodiment general frame flow graph.
As shown in Figure 1, select in the recommend method in mobile Internet isomery ability of the present invention, flow process comprises that engine is expressed in the ability need of user's isomery, the ability of ability open platform management, formalization, model, ability formalization expression model, Combinatorial Optimization Model, the combination of more excellent structure ability, man-machine interface, order dealing process are expressed in the demand formalization.The ability of user's ability need and the management of ability open platform at first type of service expression engine is converted into user's request formalization expression model and ability formalization expression model, obtain user capability demand schedule, ability index, the ability selection of input capability open platform and optimization engine, select more excellent structure ability combination, and recommend the user, the user is manually under man-machine interface, manually choose and make a strategic decision, after optimizing more excellent structure ability combination, be submitted to order processing and partly process.
1, the ability open platform is set up the ability index according to the ability of management
Generally speaking, the ability of ability open platform management can be subdivided into concrete classification.Divide from large class, can be divided into telecommunication capability field and IT ability field; The telecommunication capability field can be subdivided into again SMS capability class, multimedia message ability class, IVR(Interactive Voice Response, i.e. interactive voice answering) the ability class etc.; The IT ability also can be divided into computing power class, storage capacity class, and the ability class of some other specific service etc.Each capability class comprises one or more abilities, and these abilities can be finished identical function, can the phase trans-substitution in the use; Although each ability pricing strategy of ability open platform operation, SLA mechanism, service scale etc. are had nothing in common with each other, and with regard to major function, also can classify as specific classification.Such as SMS capability class, IVR ability class, cloud storage capacity class etc. can be used following form, ability price, performance index expressed model with the ability formalization come standard.Be the bivariate table case form with capability names and corresponding conversion in type thereof, and be referred to as the external key of index with name, can get ability index as shown in table 1:
Table 1
2, user's isomery ability need is expressed model tormulation with the demand formalization, make up the user capability demand schedule.
The isomery ability need framework that the user proposes is usually comparatively general, only provide own needs limit of power, want the performance index that reach and the cost that self can pay, such as information such as expenses.But sum up, user's isomery ability need can substitute " to the demand of certain capabilities " with " demand of the function that the certain capabilities class is possessed ".Usually, the user only needs ability to provide the function that meets demand to get final product, for this ability from which supplier and be indifferent to.The user to the insensitivity of ability so that possess the ability of identical or function and mutually substitute and become possibility.Such as a typical user's request may be: " comprising map and cloud storage capacity; the whole reliability that satisfies more than 99.5%; 1 year period of service; total price is no more than 300 yuan; the application scale can guarantee the highest concurrent being no more than 3000 times/second ", Map Ability wherein can be provided by the Map Ability A of ability open platform operation, also can be provided by Map Ability B; The cloud storage capacity is also similar with it, and alternative ability can be provided by different suppliers.Therefore, user's isomery ability need can be expressed model tormulation with formalization, obtain the user capability demand schedule, as shown in table 2:
Table 2
In the present invention, assert the user to price and each performance index, the restriction that namely needs optimization aim is indiscriminate.That is: the desired price of user and each performance index all have identical importance to it.For example: the user is equivalent to sensitivity to reliability to the sensitivity of price.Thus, all give identical weights to price and each performance index, and it is normalized in the identical interval calculate.
3, the user capability demand schedule is input to the ability selection and optimization engine of ability open platform, in the ability concordance list, selects more excellent structure ability combination, and recommend the user.
In user's ability need framework, may there be the multi abilities combined symbols to share the demand at family, also may there be such demand.Therefore, need to set up more excellent matching relationship between the ability to user capability demand and the management of ability open platform, namely ability is chosen and is optimized.
Automatically selection is as follows with optimization method:
3.1, want the performance index that reach and the expense that self can pay as constraint condition the user, make up overall income and express function, user's request is converted to following mathematic(al) representation:
maxF(x)
x∈R
Wherein, F (x) expresses function for overall income, the good and bad degree that is used for the combination of tolerance isomery ability, x is the isomery ability combination of selection, and R is all set that listed each capability class is chosen an ability formation ability combination of corresponding capability class in the user capability demand schedule in the ability index; It is more excellent structure ability combination that overall income is expressed the maximum isomery ability combination x of function F (x), and recommends the user;
The General Expression form that overall income is expressed function F (x) is:
Wherein, N is expense and each performance index, i.e. the number of optimization aim, F
i(x) be the income expression function of i demand optimization aim, corresponding to the rate more than needed of optimization aim; Described rate more than needed is in the given optimization aim threshold value of user, the cost number percent that still can bear on each optimization aim:
I is the optimization aim of demand, and the user is i for the maximum cost of this goal-setting
Max, and on this optimization aim, the current cost of paying is i
Now
Different optimization aim has different i
NowComputing formula.Below take three different optimization aim as example, explain i
NowComputation process.
Take expense as example, have:
i
now=∑x.fee
Wherein, i
NowBe the expense of current ability selection combination, x.fee is the expense of each ability in the ability combination.If the customer requirements expense is less than 300 yuan, and the expense of current ability selection combination has reached 240 yuan, then the target of expense rate more than needed is:
Take concurrency as example, then need to be expressed as two-valued function:
i
now=100%-∏int(x?cocurrency>i
max)
Wherein, i
NowBe the concurrency of current ability selection combination, x.cocurrency is the concurrency of each ability in the ability combination, and int (x.cocurrency〉i
Max) expression formula judges the threshold value the i whether concurrency of some abilities is set greater than the user
MaxIf, greater than this threshold value i
Max, then this is 0.Therefore, as long as exist the concurrency of an ability not satisfy the demands, will be so that i
Now=1.
Take fiduciary level as example, need to be expressed as such as minor function again:
i
now=1-∏x.reliability
Wherein, i
NowBe the fiduciary level of current ability selection combination, x.reliability is the fiduciary level of each ability in the ability combination.
3.2, ability selection optimization was divided into for two steps, the first step makes up an initial ability combination O, the ability in the initial ability combination is replaced in the second step circulation, until form more excellent structure ability combination;
A, user provide demand to M isomery capability class, and the competence set that each capability class comprises in the ability open platform is respectively P
1, P
2..., P
M, the method that makes up initial ability combination O is as follows:
A1 also makes initial ability combination O=Φ, and Φ represents empty set;
A2, from not processed capability class, choose a competence set P
j
A3, for competence set P
jIn R
jIndividual ability with its substitution initial ability combination O one by one, consists of R
jIndividual ability combination O '
1, O '
2...,
And calculate respectively overall income express function F (O '
k), k=1,2 ..., R
j, with overall income express function F (O '
k) maximum ability combination O '
kAs initial ability combination O, return step a2, until required competence set corresponding to whole capability class of user all is chosen complete;
A4, output initial ability combination O;
The ability among the initial ability combination O is replaced in circulation:
Among b1, the initial ability combination O, find the optimization aim of minimum degree more than needed;
B2, in the minimum optimization aim of degree more than needed, find to take the highest ability p of cost
Max, at this ability of ability open platform p
MaxUnder search capability p and replace the p of initial ability combination O in the capability class competence set
Max, the calculated population income is expressed function F (O), reduces if overall income is expressed function F (O), then keeps the replacement to initial ability combination O, if do not reduce, then abandons, until ability p
MaxUnder institute in the capability class competence set have the ability to search for complete;
B3, return step 1, until the optimization aim of minimum degree more than needed is identical;
B4, initial ability combination O are more excellent structure ability combination x;
3.3), more excellent structure ability combination x recommends the user.
4, obtain the combination of more excellent structure ability after, present to the user with the form of function list.The more excellent structure ability combination x of ability open platform selection may not meet user's demand.The user is to the preference of certain Brand Service---for example, user habit uses Baidu's map kit---also so that the user has artificial optimization's motivation to the more excellent structure ability combination x of selection.Therefore, in the present embodiment, provide the artificial selection of user and decision making function, the contents such as the ability that more excellent structure ability combination is comprised, expense, each performance index are manually chosen reference as the user.
The present invention can not guarantee the combination into global optimum for the ability of user's generating recommendations is combined, so the present invention provides artificial selection and decision making function as auxiliary for the user.
5, after the user finishes the selection of ability, submit the ability order to the ability open platform, thereby finish whole ability subscription procedure.
Example
1, the ability open platform is set up the ability index according to the ability of management, and is as shown in table 3, for convenience of explanation, only lists map and cloud storage capacity.
Table 3
2, user A is " comprise map and cloud storage capacity, integral body satisfies the reliability more than 99%, and 1 year period of service, total price is no more than 300 yuan, and the application scale can guarantee the highest concurrent being no more than 3000 times/second " for the demand of ability.The user capability demand can be expressed model tormulation with formalization, make up the user capability demand schedule, as shown in table 4:
Table 4
3, the user capability demand schedule is input to the ability selection and optimization engine of ability open platform, in the ability concordance list, selects more excellent structure ability combination, and recommend the user.
3.1, to make initial ability combination O be empty set
3.2, in Map Ability set, choose an ability.The expense of Map Ability A rate more than needed is:
Because 8000-5000 〉=3000, therefore concurrent rate more than needed is 100%;
Since the fiduciary level 99.6% of Map Ability A, so fiduciary level rate more than needed is:
So the rate overall more than needed of Map Ability A, i.e. overall income expression functional value is:
57.4%×100%×60%=34.44%。
Similarly, the rate more than needed of Map Ability B is:
Therefore should choose Map Ability B, at this moment O={ Map Ability B}.
In the set of cloud storage capacity, choose an ability.The expense of cloud storage capacity A rate more than needed is:
Because 5000-3000≤3000, therefore concurrent rate more than needed is 0%, eliminates cloud storage capacity A this moment.
The expense rate more than needed of choosing cloud storage capacity B is:
Concurrent rate more than needed is 100%;
Fiduciary level rate more than needed is:
So the rate overall more than needed when choosing cloud storage capacity B is:
8.75%×100%×70.02%=6.13%
Therefore should choose cloud storage capacity B, initial ability combination this moment O={ Map Ability B, cloud storage capacity B};
3.3, from initial ability combination O the replacement ability.
Because therefore expense rate 8.75%＜fiduciary level more than needed rate 70.02% more than needed＜concurrent rate 1 more than needed at first replaces ability among the initial ability combination O take the Cost Optimization target as standard.
In the Cost Optimization target, the accounting maximum be Map Ability, therefore in Map Ability, search for.When selecting Map Ability A, expense rate more than needed is:
Concurrent rate more than needed is 100%; Since the fiduciary level 99.6% of Map Ability A, so fiduciary level rate more than needed is:
So the rate overall more than needed of this moment is:
20.92% * 100% * 50.04%=10.47%〉6.13%, so Map Ability A is selected, initial ability combination this moment O={ Map Ability A, cloud storage capacity B}
Continuation is replaced collective ability from initial ability combination O.Because do not find more excellent combination, algorithm leaves it at that, initial ability combination O is more excellent structure ability combination x.And present the ability Assembly Listing of user A as shown in table 5 to the user with the form of function list
4, the user does artificial selection from the scheme that system provides, and submits the ability order to platform, thereby finishes whole ability subscription procedure.
Although the above is described the illustrative embodiment of the present invention; so that those skilled in the art understand the present invention; but should be clear; the invention is not restricted to the scope of embodiment; to those skilled in the art; as long as various variations appended claim limit and the spirit and scope of the present invention determined in, these variations are apparent, all utilize innovation and creation that the present invention conceives all at the row of protection.
Claims (2)
1. a mobile Internet isomery ability is selected recommend method, it is characterized in that, may further comprise the steps:
Step 1, ability open platform are set up the ability index according to the ability of management
Price, the performance index of ability are expressed model with the ability formalization come standard, and set up two-dimentional form according to capability names and corresponding type thereof, and be referred to as the external key of index with name, obtain the ability index;
Step 2, user's isomery ability need is expressed model tormulation with the demand formalization, make up the user capability demand schedule;
The isomery capability class that the user needs, to want the performance index that reach and the cost that self can pay be that expense is expressed model tormulation with formalization, obtains the user capability demand schedule;
Step 3, the user capability demand schedule is input to the ability open platform ability selection with optimize engine, in the ability concordance list, select more excellent structure ability combination, and recommend the user
3.1), want the performance index that reach and the expense that self can pay as constraint condition the user, make up overall income and express function, user's request is converted to following mathematic(al) representation:
maxF(x)
x∈R
Wherein, F (x) expresses function for overall income, the good and bad degree that is used for the combination of tolerance isomery ability, x is the isomery ability combination of selection, and R is all set that listed each capability class is chosen an ability formation ability combination of corresponding capability class in the user capability demand schedule in the ability index; It is more excellent structure ability combination that overall income is expressed the maximum isomery ability combination x of function F (x), and recommends the user;
The General Expression form that overall income is expressed function F (x) is:
Wherein, N is expense and each performance index, i.e. the number of optimization aim, F
i(x) be the income expression function of i demand optimization aim, corresponding to the rate more than needed of optimization aim; Described rate more than needed is in the given optimization aim threshold value of user, the cost number percent that still can bear on each optimization aim:
I is the optimization aim of demand, and the user is i for the maximum cost of this goal-setting
Max, and on this optimization aim, the current cost of paying is i
Now
3.2), ability selection optimization was divided into for two steps, the first step makes up an initial ability combination O, the ability in the initial ability combination is replaced in the second step circulation, until form more excellent structure ability combination;
A, user provide demand to M isomery capability class, and the competence set that each capability class comprises in the ability open platform is respectively P
1, P
2..., P
M, the method that makes up initial ability combination O is as follows:
A1 also makes initial ability combination O=Φ, and Φ represents empty set;
A2, from not processed capability class, choose a competence set P
j
A3, for competence set P
jIn R
jIndividual ability with its substitution initial ability combination O one by one, consists of R
jIndividual ability combination O '
1, O '
2...,
And calculate respectively overall income express function F (O '
k), k=1,2 ..., R
j, with overall income express function F (O '
k) maximum ability combination O '
kAs initial ability combination O, return step a2, until required competence set corresponding to whole capability class of user all is chosen complete;
A4, output initial ability combination O;
The ability among the initial ability combination O is replaced in circulation:
Among b1, the initial ability combination O, find the optimization aim of minimum degree more than needed;
B2, in the minimum optimization aim of degree more than needed, find to take the highest ability p of cost
Max, at this ability of ability open platform p
MaxUnder search capability p and replace the p of initial ability combination O in the capability class competence set
Max, the calculated population income is expressed function F (O), reduces if overall income is expressed function F (O), then keeps the replacement to initial ability combination O, if do not reduce, then abandons, until ability p
MaxUnder institute in the capability class competence set have the ability to search for complete;
B3, return step 1, until the optimization aim of minimum degree more than needed is identical;
B4, initial ability combination O are more excellent structure ability combination x;
3.3), more excellent structure ability combination x recommends the user.
2. mobile Internet isomery ability according to claim 1 is selected recommend method,, it is characterized in that, further comprising the steps of:
Step 4, obtain the combination of more excellent structure ability after, present to the user with the form of function list, the contents such as the ability that the user comprises more excellent structure ability combination, expense, each performance index are manually chosen;
After step 5, user finish the selection of ability, submit the ability order to the ability open platform, thereby finish whole ability subscription procedure.
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Cited By (1)
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| US7136853B1 (en) * | 1995-09-07 | 2006-11-14 | Fujitsu Limited | Information retrieving apparatus and system for displaying information with incorporated advertising information |
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Application publication date: 20130102 |