CN107358447B - Personalized service recommendation method and system with service quality as center - Google Patents
Personalized service recommendation method and system with service quality as center Download PDFInfo
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Abstract
The invention discloses a personalized service recommendation method and a system taking service quality as a center, wherein the method comprises the following steps: establishing a P-dimensional space coordinate system A according to the quality dimension P of the service, and establishing a candidate service set S according to all the services; obtaining a reference service sr(ii) a With each of the services S to a reference service SrPerforming function mapping by using the displacement values of all dimensions as mapping functions to obtain a new candidate service set S ', and converting A into a new coordinate system A'; skyline calculation is carried out on S ' to obtain a Skyline set S ' of S 'DLThen the Dynamic Skyline set S of SDSL=S’DL(ii) a Pushing collections S to usersDSL(ii) a Thus, the discovery of services from the reference service that are not dominated by any other service eliminates the need for the system engineer to list all of the candidate services in order to identify suitable candidate services and possible combinations thereof.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a personalized service recommendation method and system taking service quality as a center.
Background
The development and popularization of e-commerce, especially the pay-as-you-go business model promoted by cloud computing, has promoted the rapid growth of web services. Statistics published by the programammablemeweb (an online web services directory) show that the number of web services published in the last few years is growing rapidly. This makes NP-complete quality-aware service selection difficult to solve. In recent years, a great deal of related work has been optimized by web service recommendation techniques, in an effort to reduce the complexity of the quality-aware service selection problem. The search space of the problem is reduced by recommending suitable candidate services. In this way, the system engineer does not have to enumerate all candidate services and their possible combinations.
The key issue here is how to identify suitable candidate services that can meet the quality constraints of the system engineer as much as possible. Unfortunately, none of the existing web service recommendation methods can solve this problem.
Disclosure of Invention
Based on the technical problems in the background art, the invention provides a personalized service recommendation method and system taking service quality as a center;
the invention provides a personalized service recommendation method taking service quality as a center, which comprises the following steps:
s1, establishing a P-dimensional space coordinate system A according to the quality dimension P of the service, and establishing a candidate service set S according to all the services;
s2, acquiring reference service Sr;
S3, with each of S serving to a reference service SrPerforming function mapping by using the displacement values of all dimensions as mapping functions to obtain a new candidate service set S ', and converting A into a new coordinate system A';
s4, Skyline calculation is carried out on S ' to obtain a Skyline set S ' of S 'DLThen the Dynamic Skyline set S of SDSL=S’DL;
S5, pushing set S to userDSL。
Preferably, step S3 specifically includes:
with each of the services S to a reference service SrThe displacement value of each dimension is used as a mapping function to carry out function mapping to obtain a new candidate service set S' ═ (f)1(s), …, fp (s)), wherein fj(s)=|qj(sr)-qj(s)|,1≤j≤p,qj(sr)-qj(s) denotes service s to reference service srWhen A is converted to srA new coordinate system a' as the origin.
Preferably, step S4 specifically includes:
check if the service in S' is dominated by other services, will all not be dominated byOther service-dominated services are added to set S'DLTo obtain a Skyline aggregate S 'of S'DLThen the Dynamic Skyline set S of SDSL=S’DLWherein one service s1Governing another service s2Representation service s1Is higher than or equal to s in all mass dimensions2And serve s1Comparing service s in at least one dimension2The strictness is good.
A quality of service centric personalized service recommendation system comprising:
the service set establishing module is used for establishing a P-dimensional space coordinate system A according to the quality dimension P of the service and establishing a candidate service set S according to all the services;
a reference service acquisition module for acquiring reference service sr;
A service mapping module for mapping each of the services S to a reference service SrPerforming function mapping by using the displacement values of all dimensions as mapping functions to obtain a new candidate service set S ', and converting A into a new coordinate system A';
the set calculating module is used for calculating Skyline to S ' to obtain the Skyline set S ' of S 'DLThen the Dynamic Skyline set S of SDSL=S’DL。
A service push module for pushing the set S to the userDSL。
Preferably, the service mapping module is specifically configured to:
with each of the services S to a reference service SrThe displacement value of each dimension is used as a mapping function to carry out function mapping to obtain a new candidate service set S' ═ (f)1(s), …, fp (s)), wherein fj(s)=|qj(sr)-qj(s)|,1≤j≤p,qj(sr)-qj(s) denotes service s to reference service srWhen A is converted to srA new coordinate system a' as the origin.
Preferably, the set calculating module is specifically configured to:
checking garments in SWhether traffic is dominated by other services, adding all services not dominated by other services to set S'DLTo obtain a Skyline aggregate S 'of S'DLThen the Dynamic Skyline set S of SDSL=S’DLWherein one service s1Governing another service s2Representation service s1Is higher than or equal to s in all mass dimensions2And serve s1Comparing service s in at least one dimension2The strictness is good.
The invention establishes a P-dimensional space coordinate system A according to a quality dimension P, establishes a candidate service set S according to all services, and then acquires a reference service SrWith each of S to a reference service SrThe displacement values of all dimensions are used as mapping functions to carry out function mapping to obtain a new candidate service set S ', Skyline calculation is carried out on S' to obtain a Skyline set S 'of S'DLThen the Dynamic Skyline set S of SDSL=S’DLPush the collection S to the userDSLThe service in (2), thus, according to the reference service, finding out those services which are not governed by any other service, in order to identify suitable candidate services and possible combinations thereof, the system engineer does not need to list all the candidate services, and under the condition of meeting the quality constraint of the system engineer, a great deal of time and labor cost are saved, and the work efficiency of the system engineer is improved.
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Fig. 1 is a schematic flow chart of a service quality-centered personalized service recommendation method according to the present invention;
fig. 2 is a schematic block diagram of a service quality-centered personalized service recommendation system according to the present invention.
Detailed Description
Referring to fig. 1, the personalized service recommendation method centered on service quality provided by the present invention includes:
s1, establishing a P-dimensional space coordinate system A according to the quality dimension P of the service, and establishing a candidate service set S according to all the services;
in the specific scheme, all quality dimensions of the service are obtained, a space coordinate system taking the quality dimensions as dimensions is established according to the quality dimensions, and a candidate service set S is established in a P-dimensional space coordinate system A according to all the service.
S2, acquiring reference service Sr;
S3, with each of S serving to a reference service SrThe method for performing function mapping by using the displacement values of the various dimensions as a mapping function to obtain a new candidate service set S ', and converting a into a new coordinate system a', specifically includes:
with each of the services S to a reference service SrThe displacement value of each dimension is used as a mapping function to carry out function mapping to obtain a new candidate service set S' ═ (f)1(s), …, fp (s)), wherein fj(s)=|qj(sr)-qj(s)|,1≤j≤p,qj(sr)-qj(s) denotes service s to reference service srWhen A is converted to srA new coordinate system a' as the origin.
In a specific scheme, performing function mapping on each service S in S according to a mapping function to obtain a new candidate service set S', wherein A is converted into SrA new coordinate system a' as the origin.
S4, Skyline calculation is carried out on S ' to obtain a Skyline set S ' of S 'DLThen the Dynamic Skyline set S of SDSL=S’DLThe method specifically comprises the following steps:
checking if the service in S 'is dominated by other services, adding all services not dominated by other services to the set S'DLTo obtain a Skyline aggregate S 'of S'DLThen the Dynamic Skyline set S of SDSL=S’DLWherein one service s1Governing another service s2Representation service s1Is higher than or equal to s in all mass dimensions2And serve s1Comparing service s in at least one dimension2The strictness is good.
S5, pushing set S to userDSL。
In particular embodiments, the Skyline operation is to find those that do notService s dominated by any other service1Governing another service s2Representation service s1Is higher than or equal to s in all mass dimensions2And serve s1Comparing service s in at least one dimension2Strictly, Skyline calculation is carried out on S ', so that Skyline aggregate S' of S 'is obtained'DLThen the Dynamic Skyline set S of SDSL=S’DLThen the obtained set SDSLAnd pushing to the user.
Referring to fig. 2, the present invention provides a quality of service-centric personalized service recommendation system, which includes:
the service set establishing module is used for establishing a P-dimensional space coordinate system A according to the quality dimension P of the service and establishing a candidate service set S according to all the services;
in the specific scheme, all quality dimensions of the service are obtained, a space coordinate system taking the quality dimensions as dimensions is established according to the quality dimensions, and a candidate service set S is established in a P-dimensional space coordinate system A according to all the service.
A reference service acquisition module for acquiring reference service sr;
A service mapping module for mapping each of the services S to a reference service SrThe displacement value of each dimension as a mapping function to perform function mapping to obtain a new candidate service set S ', and convert a into a new coordinate system a', where the service mapping module is specifically configured to: with each of the services S to a reference service SrThe displacement value of each dimension is used as a mapping function to carry out function mapping to obtain a new candidate service set S' ═ (f)1(s), …, fp (s)), wherein fj(s)=|qj(sr)-qj(s)|,1≤j≤p,qj(sr)-qj(s) denotes service s to reference service srWhen A is converted to srA new coordinate system a' as the origin.
In a specific scheme, performing function mapping on each service S in S according to a mapping function to obtain a new candidate service set S', wherein A is converted into SrNew seat as original pointThe symbol is A'.
The set calculating module is used for calculating Skyline to S ' to obtain the Skyline set S ' of S 'DLThen the Dynamic Skyline set S of SDSL=S’DLThe method is specifically used for:
checking if the service in S 'is dominated by other services, adding all services not dominated by other services to the set S'DLTo obtain a Skyline aggregate S 'of S'DLThen the Dynamic Skyline set S of SDSL=S’DLWherein one service s1Governing another service s2Representation service s1Is higher than or equal to s in all mass dimensions2And serve s1Comparing service s in at least one dimension2The strictness is good.
A service push module for pushing the set S to the userDSL。
In a specific embodiment, the Skyline operation is to discover services that are not dominated by any other service, a service s1Governing another service s2Representation service s1Is higher than or equal to s in all mass dimensions2And serve s1Comparing service s in at least one dimension2Strictly, Skyline calculation is carried out on S ', so that Skyline aggregate S' of S 'is obtained'DLThen the Dynamic Skyline set S of SDSL=S’DLThen the obtained set SDSLAnd pushing to the user.
In the embodiment, a P-dimensional space coordinate system A is established according to a quality dimension P, a candidate service set S is established according to all services, and then a reference service S is acquiredrWith each of S to a reference service SrThe displacement values of all dimensions are used as mapping functions to carry out function mapping to obtain a new candidate service set S ', Skyline calculation is carried out on S' to obtain a Skyline set S 'of S'DLThen the Dynamic Skyline set S of SDSL=S’DLPush the collection S to the userDSLIn such a way that those services which are not dominated by any other service are found from the reference service, suitable candidate services are identifiedAnd possible combinations thereof, so that the system engineer does not need to list all candidate services, a great deal of time and labor cost are saved and the working efficiency of the system engineer is improved under the condition of meeting the quality constraint of the system engineer.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (6)
1. A personalized service recommendation method taking service quality as center is characterized by comprising the following steps:
s1, establishing a P-dimensional space coordinate system A according to the quality dimension P of the service, and establishing a candidate service set S according to all the services;
s2, acquiring reference service Sr;
S3, with each of S serving to a reference service SrPerforming function mapping by using the displacement values of all dimensions as mapping functions to obtain a new candidate service set S ', and converting A into a new coordinate system A';
s4, Skyline calculation is carried out on S ' to obtain a Skyline set S ' of S 'DLThen the Dynamic Skyline set S of SDSL=S’DL;
S5, pushing set S to userDSL。
2. The method for recommending service centered on quality of service according to claim 1, wherein step S3 specifically includes:
with each of the services S to a reference service SrThe displacement value of each dimension is used as a mapping function to carry out function mapping to obtain a new candidate service set S' ═ (f)1(s), …, fp (s)), wherein fj(s)=|qj(sr)-qj(s)|,1≤j≤p,qj(sr)-qj(s) denotes service s to reference service srEach of (1)Dimension shift value, at which time A is converted to srA new coordinate system a' as the origin.
3. The method for recommending service centered on quality of service according to claim 1, wherein step S4 specifically includes:
checking if the service in S 'is dominated by other services, adding all services not dominated by other services to the set S'DLTo obtain a Skyline aggregate S 'of S'DLThen the Dynamic Skyline set S of SDSL=S’DLWherein one service s1Governing another service s2Representation service s1Is higher than or equal to s in all mass dimensions2And serve s1Comparing service s in at least one dimension2The strictness is good.
4. A quality of service-centric personalized service recommendation system, comprising:
the service set establishing module is used for establishing a P-dimensional space coordinate system A according to the quality dimension P of the service and establishing a candidate service set S according to all the services;
a reference service acquisition module for acquiring reference service sr;
A service mapping module for mapping each of the services S to a reference service SrPerforming function mapping by using the displacement values of all dimensions as mapping functions to obtain a new candidate service set S ', and converting A into a new coordinate system A';
the set calculating module is used for calculating Skyline to S ' to obtain the Skyline set S ' of S 'DLThen the Dynamic Skyline set S of SDSL=S’DL,
A service push module for pushing the set S to the userDSL。
5. The quality of service-centric personalized service recommendation system according to claim 4, characterized in that said service mapping module is specifically configured to:
with each of the services S to a reference service SrThe displacement value of each dimension is used as a mapping function to carry out function mapping to obtain a new candidate service set S' ═ (f)1(s), …, fp (s)), wherein fj(s)=|qj(sr)-qj(s)|,1≤j≤p,qj(sr)-qj(s) denotes service s to reference service srWhen A is converted to srA new coordinate system a' as the origin.
6. The quality of service-centric personalized service recommendation system according to claim 4, wherein said set calculation module is specifically configured to:
checking if the service in S 'is dominated by other services, adding all services not dominated by other services to the set S'DLTo obtain a Skyline aggregate S 'of S'DLThen the Dynamic Skyline set S of SDSL=S’DLWherein one service s1Governing another service s2Representation service s1Is higher than or equal to s in all mass dimensions2And serve s1Comparing service s in at least one dimension2The strictness is good.
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