CN110765350A - Data fusion method and device for member points - Google Patents
Data fusion method and device for member points Download PDFInfo
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Abstract
The invention provides a data fusion method and a data fusion device for member points, which relate to the technical field of data processing, and are characterized in that first point data and a first member grade of a user in a first application are obtained; obtaining second point data and a second membership grade of the user in a second application, wherein the second application and the first application have a first association degree; obtaining a first fusion ratio according to the second member level and a preset data fusion rule; obtaining third integral data according to the first fusion ratio and the second integral data; according to the third integral data, after the first integral data is adjusted, current integral data is obtained; according to the current point data, after the first member grade is adjusted, the current member grade is obtained, so that the data can be effectively and accurately fused, the member aggregation effect is improved, and the data utilization rate and the user experience technical effect are improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a member point data fusion method and device.
Background
With the advancement of technology and the rise of various social networks, the distance between the brand and the consumer is shortened instantaneously, data and artificial intelligence help the brand and the consumer to establish closer connection, and the social networks also help the consumer to make a sound better and form more frequent interaction with enterprises and brands. Currently, consumers all have a variety of points: such as the points generated by mobile phone communication consumption, the credit of bank cards, the credit of shopping in shopping malls, the credits of different brands, the credit of online shopping, the credit of hotel accommodations, and the credits of other various industries.
However, the applicant of the present invention finds that the prior art has at least the following technical problems:
at the present stage, the system and the method of the member are complex, the points cannot be effectively utilized, and the purpose of improving the enthusiasm of merchants and consumers cannot be achieved. Meanwhile, when the service provider helps the brand to provide intelligent customer operation service, helps the brand to imagine and construct a solution for future consumer operation, integration and innovation can not be performed on the integral data, helps the brand to further expand the scale of consumers, and provides a wider space for consumer asset mining for the brand.
Disclosure of Invention
The embodiment of the invention provides a data fusion method and device for member points, solves the technical problems that in the prior art, a system and a method for members are complex, the points cannot be effectively utilized, and service providers cannot fuse and innovate point data, and achieves the purpose of effectively and accurately fusing the data, thereby improving the effect of member aggregation, and improving the utilization rate of the data and the technical effect of user experience.
In view of the above problems, the present application has been made to provide a method and an apparatus for fusing data of member points.
In a first aspect, the present invention provides a data fusion method for member points, the method comprising: obtaining first integral data and a first member grade of a user in a first application; obtaining second point data and a second membership grade of the user in a second application, wherein the second application and the first application have a first association degree; obtaining a first fusion ratio according to the second member level and a preset data fusion rule; obtaining third integral data according to the first fusion ratio and the second integral data; according to the third integral data, after the first integral data is adjusted, current integral data is obtained; and according to the current point data, after the first member grade is adjusted, the current member grade is obtained.
Preferably, the preset data fusion rule specifically includes: obtaining first associated data according to the first integral data and the second integral data; obtaining first characteristic information according to the first associated data; and obtaining a first fusion ratio according to the first characteristic information.
Preferably, the method further comprises: obtaining a first consumption record of the user in the second application within a preset time; judging whether the first consumption record meets a first preset condition or not; when the first preset condition is met, obtaining a second fusion ratio; and adjusting the current point data and the current membership grade according to the second fusion ratio.
Preferably, the method further comprises: obtaining a first recommendation record of the user for the second application; judging the actual downloading amount of the second application in the first recommendation record; judging whether the actual downloading amount meets a second preset condition or not; when the second preset condition is met, obtaining a third fusion ratio; and adjusting the current point data and the current membership grade according to the third fusion ratio.
Preferably, the method further comprises: obtaining first access information of the user to the second application; obtaining the first keyword according to the first access information; judging whether the first keyword meets a third preset condition or not; when the third preset condition is met, attaching a first label to the user; and the first application provides a specific service for the user according to the first label.
Preferably, when the third preset condition is met, attaching a first label to the user further includes: establishing a first label member library according to the first label, and acquiring the real-time point of the user in the first label member library; and when the real-time points meet a preset threshold value, the first application sends gift exchange information to the user.
In a second aspect, the present invention provides a data fusion device for member points, the device comprising:
the first obtaining unit is used for obtaining first integral data and a first member level of a user in a first application;
a second obtaining unit, configured to obtain second point data of the user and a second membership grade in a second application, where the second application and the first application have a first association degree therebetween;
a third obtaining unit, configured to obtain a first fusion ratio according to a preset data fusion rule according to the second member level;
a fourth obtaining unit configured to obtain third integral data from the first fusion ratio and the second integral data;
a fifth obtaining unit, configured to obtain current integral data after adjusting the first integral data according to the third integral data;
and the sixth obtaining unit is used for obtaining the current member grade after adjusting the first member grade according to the current point data.
Preferably, the apparatus further comprises:
a seventh obtaining unit configured to obtain first associated data from the first integral data and the second integral data;
an eighth obtaining unit, configured to obtain first feature information according to the first associated data;
a ninth obtaining unit configured to obtain a first fusion ratio from the first feature information.
Preferably, the apparatus further comprises:
a tenth obtaining unit, configured to obtain a first consumption record of the user in the second application within a preset time;
the first judging unit is used for judging whether the first consumption record meets a first preset condition or not;
an eleventh obtaining unit configured to obtain a second fusion ratio when the first preset condition is satisfied;
a first adjusting unit for adjusting the current point data and the current membership grade according to the second fusion ratio.
Preferably, the apparatus further comprises:
a twelfth obtaining unit, configured to obtain a first recommendation record of the user for the second application;
a second judging unit, configured to judge an actual download amount of the second application in the first recommendation record;
a third judging unit, configured to judge whether the actual download amount meets a second preset condition;
a thirteenth obtaining unit configured to obtain a third fusion ratio when the second preset condition is satisfied;
a second adjusting unit for adjusting the current point data and the current membership grade according to the third fusion ratio.
Preferably, the apparatus further comprises:
a fourteenth obtaining unit, configured to obtain first access information of the user for the second application;
a fifteenth obtaining unit, configured to obtain the first keyword according to the first access information;
a fourth judging unit, configured to judge whether the first keyword meets a third preset condition;
the first execution unit is used for attaching a first label to the user when the third preset condition is met;
a second execution unit, configured to provide, by the first application, a specific service for the user according to the first tag.
Preferably, the apparatus further comprises:
a sixteenth obtaining unit, configured to establish a first tag membership library according to the first tag, and obtain a real-time point of the user in the first tag membership library;
a third execution unit, configured to send, by the first application, gift redemption information for the user when the real-time points meet a preset threshold.
In a third aspect, the present invention provides a data fusion device for membership points, including a memory, a processor and a computer program stored in the memory and operable on the processor, wherein the processor implements the following steps when executing the program: obtaining first integral data and a first member grade of a user in a first application; obtaining second point data and a second membership grade of the user in a second application, wherein the second application and the first application have a first association degree; obtaining a first fusion ratio according to the second member level and a preset data fusion rule; obtaining third integral data according to the first fusion ratio and the second integral data; according to the third integral data, after the first integral data is adjusted, current integral data is obtained; and according to the current point data, after the first member grade is adjusted, the current member grade is obtained.
In a fourth aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of: obtaining first integral data and a first member grade of a user in a first application; obtaining second point data and a second membership grade of the user in a second application, wherein the second application and the first application have a first association degree; obtaining a first fusion ratio according to the second member level and a preset data fusion rule; obtaining third integral data according to the first fusion ratio and the second integral data; according to the third integral data, after the first integral data is adjusted, current integral data is obtained; and according to the current point data, after the first member grade is adjusted, the current member grade is obtained.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
according to the data fusion method and device for the member points, provided by the embodiment of the invention, the first point data and the first member grade of a user in the first application are obtained; obtaining second point data and a second membership grade of the user in a second application, wherein the second application and the first application have a first association degree; obtaining a first fusion ratio according to the second member level and a preset data fusion rule; obtaining third integral data according to the first fusion ratio and the second integral data; according to the third integral data, after the first integral data is adjusted, current integral data is obtained; according to the current point data, after the first member grade is adjusted, the current member grade is obtained, so that the technical problems that in the prior art, the system and the method of the member are complicated, points cannot be effectively utilized, and a service provider cannot fuse and innovate the point data are solved, the data can be effectively and accurately fused, the member aggregation effect is improved, and the data utilization rate and the user experience technical effect are improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
FIG. 1 is a flow chart illustrating a data fusion method of membership points according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a data fusion device for membership points according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of another data fusion device for membership points in the embodiment of the present invention.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a fifth obtaining unit 15, a sixth obtaining unit 16, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, a bus interface 306.
Detailed Description
The embodiment of the invention provides a data fusion method and device for member points, which are used for solving the technical problems that in the prior art, a system and a method for members are complicated, the points cannot be effectively utilized, and service providers cannot fuse and innovate point data.
The technical scheme provided by the invention has the following general idea:
obtaining first integral data and a first member grade of a user in a first application; obtaining second point data and a second membership grade of the user in a second application, wherein the second application and the first application have a first association degree; obtaining a first fusion ratio according to the second member level and a preset data fusion rule; obtaining third integral data according to the first fusion ratio and the second integral data; according to the third integral data, after the first integral data is adjusted, current integral data is obtained; according to the current point data, after the first member grade is adjusted, the current member grade is obtained, so that the data can be effectively and accurately fused, the member aggregation effect is improved, and the data utilization rate and the user experience technical effect are improved.
The technical solutions of the present invention are described in detail below with reference to the drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present invention are described in detail in the technical solutions of the present application, and are not limited to the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
Example one
Fig. 1 is a schematic flow chart of a data fusion method of membership points in an embodiment of the present invention. As shown in fig. 1, an embodiment of the present invention provides a data fusion method for member points, where the method includes:
step 110: first point data, a first member level, of a user in a first application is obtained.
Specifically, the first point data is specific data information of the user in the first application, and the first member level is a member level of the user in the first application. For example, when the first application is a service provider and the second application is Taobao shopping software, data analysis can be performed on consumption behaviors of users in the Taobao software through the service provider, a certain rule is obtained through big data analysis, and finally intelligent client operation services are provided for a consumer brand, so that the brand is helped to further expand the scale of consumers, and a wider space for mining consumer assets is provided for the brand. The user's point data can come in with the integration of the point data in the second application in first application, can also utilize channels such as sign-in, play games, share to other users in the second application to accumulate the point simultaneously, when the point is accumulated to a certain extent, also can carry out corresponding promotion with the member level along with it.
Step 120: and obtaining second point data and a second membership grade of the user in a second application, wherein the second application and the first application have a first association degree.
Specifically, the second point data is specific data information of the user in the second application, and the second member level is a member level of the user in the second application. When the system is actually used, the member grades can be divided into different grades according to specific points, for example, 1000-3000 can be set as one member grade for a certain brand, 3000-5000 is one member grade, 5000-10000 is one member grade, more than 10000 is one member grade, and the higher the grade is, the higher the corresponding preference is. The first application can be application software used by a user, such as Taobao, Tianmao, Wei-Hui, Jingdong and the like, when the user consumes the first application, a certain number of points can be obtained correspondingly, in actual use, point data can be obtained through shopping consumption, points can be accumulated through channels of signing in, playing games, sharing to other users and the like, and when the points are accumulated to a certain degree, the member level can be improved accordingly.
Step 130: and obtaining a first fusion ratio according to the second member level and a preset data fusion rule.
The preset data fusion rule specifically comprises the following steps: obtaining first associated data according to the first integral data and the second integral data; obtaining first characteristic information according to the first associated data; and obtaining a first fusion ratio according to the first characteristic information.
Specifically, after different points of the user in two applications are obtained, the first point data and the second point data are analyzed to obtain the association information between the two sets of data, and the associated data is further subjected to feature information extraction, so that the first feature information can be further obtained. The first fusion ratio is to analyze and synthesize the first characteristic information and the related data under a certain criterion, and finally complete the required decision and evaluation task. Therefore, the second integral data in the second application can be adjusted and corrected according to the first fusion ratio, and the purpose of adjusting and correcting the member level in the first application is further achieved, so that the purpose of ensuring the data fusion precision of the first application and the second application is achieved. For example, after obtaining point data of a user in the panning shopping software, for example, the point of the user is 3500, the corresponding point level is the bronze brand level, then the point data of the user in the service provider application software, for example, the point of the user is 5000, and the corresponding point level is the silver brand level, and after obtaining the data, the data are associated with each other, and after extracting the features, first feature information is obtained, and finally, a first fusion ratio is obtained through a core algorithm. Furthermore, the adopted data fusion method is one or more of a statistical decision theory, a fuzzy logic method, a neural network method and a comprehensive average method, and can be specifically selected according to actual needs.
Step 140: and obtaining third integral data according to the first fusion ratio and the second integral data.
Specifically, after the first fusion ratio is obtained, the second integral data is combined, so that the second integral data can be correspondingly adjusted, and the third integral data is obtained by calculation, that is, the third integral data at this time is the adjusted second integral data. For example, when the point of the user in the panning shopping software is 3500 and the first fusion ratio obtained by data fusion is 0.8, the third point data calculated at this time is 2800.
Step 150: and according to the third integral data, obtaining current integral data after adjusting the first integral data.
Specifically, after the third integral data is obtained, the first integral data may be adjusted accordingly, and the current integral data of the user in the first application is obtained through calculation, that is, the current integral data at this time is the adjusted first integral data. For example, when the point in the second application of the user, such as the Taobao software, is obtained as 3500, the first fusion ratio obtained by data fusion is 0.8, and the third point data calculated at this time is 2800. Then, if the first point data of the user in the first application, such as the service provider software, is 5000, the current point data of the user is 7800, which can be obtained by adding 2800 of the third point data and 5000 of the first point data.
Step 160: and according to the current point data, after the first member grade is adjusted, the current member grade is obtained.
Specifically, after obtaining the current point data of the user in the first application, the first member level may be further adjusted, so as to obtain the current member level of the user in the first application, for example, as described above, the current point data of the user in the first application is 7800, if in the first application, 1000 to 3000 are set as a bronze brand level, 3000 to 5000 are a silver brand level, 5000 to 10000 are a gold brand level, and greater than 10000 is a diamond level, when the first point data of the user is 5000, the corresponding member level is a silver brand level, and when the point data of the user is subjected to data fusion, the current point data is 7800, the corresponding member level is also advanced to be a gold brand level.
Therefore, the data fusion method in the embodiment can effectively and accurately fuse point data between a service provider and different application software, so that the member aggregation effect is improved, the data utilization rate and the user experience are improved, each brand can further know consumer consumption conveniently, and the technical problems that in the prior art, the member system and method are complex, points cannot be effectively utilized, and the service provider cannot fuse and innovate the point data are solved.
Further, the data fusion method in this embodiment may also be implemented by combining an artificial intelligence technology, wherein the english abbreviation of artificial intelligence is ai (artificial intelligence), which is a new technical science for researching and developing theories, methods, techniques and application systems for simulating, extending and expanding human intelligence. The method comprises the following specific steps: obtaining a photo of member information of a user in a first application, wherein the member information of the user comprises point data and a member grade; inputting the picture of the member information into a model, wherein the model is obtained by machine learning training by using a plurality of groups of data, and each group of data in the plurality of groups of data comprises: a photograph of member information, a first tag to identify current point data of the user, and a second tag to identify a current member level of the user; acquiring output information of the model, wherein the output information comprises current point data and a current member grade of the user in a photo of the member information of the user; after the output information of the model utilizes second point data and a second membership grade of the user in a second application to obtain a first fusion rate according to a preset data fusion rule, adjusting first point data and a first membership grade in a photo of the membership information, and outputting current point data and a current membership grade of the user.
Further, the training model in this embodiment is obtained by using machine learning training with multiple sets of data, where machine learning is a way to implement artificial intelligence, and has a certain similarity with data mining, and is also a multi-domain cross subject, and relates to multiple subjects such as probability theory, statistics, approximation theory, convex analysis, and computation complexity theory. Compared with the method for finding mutual characteristics among big data by data mining, the machine learning focuses on the design of an algorithm, so that a computer can automatically learn rules from the data and predict unknown data by using the rules.
Further, the method further comprises: obtaining a first consumption record of the user in the second application within a preset time; judging whether the first consumption record meets a first preset condition or not; when the first preset condition is met, obtaining a second fusion ratio; and adjusting the current point data and the current membership grade according to the second fusion ratio.
Specifically, the first consumption record is a historical consumption condition of the user within a certain time period, after the first consumption record, it may be determined whether the first consumption record satisfies a first preset condition, for example, it may be determined whether a consumption frequency and a consumption total of the first consumption record reach a threshold, when the threshold is reached, a second fusion ratio is obtained according to a preset data fusion rule, and then the current point data and the current membership grade of the user in the first application may be correspondingly adjusted according to the preset data fusion rule. For example, when a user purchases a total amount of 4000 yuan from the Taobao in about six months, the obtained integral is 4000, and when the threshold is set to 3000, it indicates that the total amount of purchases of the user in half a year meets the threshold requirement, and the second fusion ratio is obtained by calculation to be 0.3; if in the application of the service provider, 1000-3000 is set as the copper brand grade, 3000-5000 is the silver brand grade, 5000-10000 is the gold brand grade, and more than 10000 is the diamond grade, when the current credit data of the user in the first application is 7800, the corresponding member grade is the gold brand grade. And calculating to obtain the latest point data of the user as 9000 according to the second fusion ratio and the current point data, and updating the point data and the membership grade of the user in the first application in real time.
Further, the method further comprises: obtaining a first recommendation record of the user for the second application; judging the actual downloading amount of the second application in the first recommendation record; judging whether the actual downloading amount meets a second preset condition or not; when the second preset condition is met, obtaining a third fusion ratio; and adjusting the current point data and the current membership grade according to the third fusion ratio.
Specifically, the first recommendation record is a message record for the user to recommend the second application to the contact person of the user, for example, the user may recommend software such as pai bao, wei yi hui, kyoto and the like through various channels like relatives and friends of the user, and after receiving the recommendation message of the user, the contact person of the user may download the second application according to the selection of the user, or the second application is not downloaded or is downloaded. When the actual download amount of the user-recommended crowd meets a certain amount, for example, the recommended records of the user are 100, the actual download number is 40, if the current download amount threshold is set to 20, it is indicated that the actual download amount of the user-recommended records meets a second preset condition, a third fusion ratio is further obtained according to the actual download amount, and then the current point data and the current membership grade of the user in the first application can be correspondingly adjusted according to a preset data fusion rule.
Further, the method further comprises: obtaining first access information of the user to the second application; obtaining the first keyword according to the first access information; judging whether the first keyword meets a third preset condition or not; when the third preset condition is met, attaching a first label to the user; and the first application provides a specific service for the user according to the first label.
Specifically, the first access information is a search record of the user in the second application, a corresponding search keyword can be obtained according to the search record of the user, then whether the keyword meets a third preset condition or not is judged, that is, whether the occurrence frequency of the keyword meets a certain threshold or not is judged, when the frequency of the search keyword reaches the threshold, the user is identified as a certain specific user, the user is not marked with a corresponding tag, and when the user is actually used, corresponding services can be provided for the user according to the tag. For example, the keyword in the visit record of the user on the Taobao is a baby product, and in the search record of the user with the recent 100 words, the baby product appears 60 times, and when the search threshold is set to 40 times, it indicates that the occurrence frequency of the keyword in the search record of the user meets a third preset condition, and then a "mom" label is further attached to the user, that is, the user in the group of the user being "mom" is represented, and a corresponding introduction of related knowledge of the mom and the baby can be provided for the user; for another example, when the keyword in the access record of the user on the Taobao is a game accessory, and the game accessory appears 55 times in the recent 100-word search record of the user, and when the search threshold is set to 40 times, it indicates that the frequency of occurrence of the keyword game accessory in the search record of the user meets the third preset condition, the user is further tagged with a "electronic contestant" tag, that is, the user represents the group of users who are "electronic contestants", and services such as computer security service, electronic contest push and the like can be provided for the user.
Further, when the third preset condition is met, attaching a first label to the user further includes: establishing a first label member library according to the first label, and acquiring the real-time point of the user in the first label member library; and when the real-time points meet a preset threshold value, the first application sends gift exchange information to the user.
Specifically, after the first application attaches corresponding labels to the users, different label member libraries are established according to different types of the labels, namely different types of user groups such as 'electronic contestants', 'tour guides', 'teachers', and the like are divided into different member libraries, then real-time points of the users can be obtained according to the corresponding label member libraries, when the real-time points of the users in the label member libraries meet preset threshold values, gift exchange information is sent to the users by the first application, wherein the gifts are different gifts designed according to different labels of the users, and meanwhile, the exchangeable gifts are different according to different point data and member grades of the users.
Example two
Based on the same inventive concept as the data fusion method of the membership point in the foregoing embodiment, the present invention further provides a data fusion method device of the membership point, as shown in fig. 2, the device includes:
a first obtaining unit 11, where the first obtaining unit 11 is configured to obtain first point data and a first member level of a user in a first application;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain second point data of the user and a second membership grade in a second application, where the second application and the first application have a first association degree therebetween;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain a first fusion ratio according to a preset data fusion rule and according to the second member level;
a fourth obtaining unit 14, wherein the fourth obtaining unit 14 is configured to obtain third integral data according to the first fusion ratio and the second integral data;
a fifth obtaining unit 15, where the fifth obtaining unit 15 is configured to obtain current integral data after adjusting the first integral data according to the third integral data;
a sixth obtaining unit 16, where the sixth obtaining unit 16 is configured to obtain a current member level after adjusting the first member level according to the current point data.
Further, the apparatus further comprises:
a seventh obtaining unit configured to obtain first associated data from the first integral data and the second integral data;
an eighth obtaining unit, configured to obtain first feature information according to the first associated data;
a ninth obtaining unit configured to obtain a first fusion ratio from the first feature information.
Further, the apparatus further comprises:
a tenth obtaining unit, configured to obtain a first consumption record of the user in the second application within a preset time;
the first judging unit is used for judging whether the first consumption record meets a first preset condition or not;
an eleventh obtaining unit configured to obtain a second fusion ratio when the first preset condition is satisfied;
a first adjusting unit for adjusting the current point data and the current membership grade according to the second fusion ratio.
Further, the apparatus further comprises:
a twelfth obtaining unit, configured to obtain a first recommendation record of the user for the second application;
a second judging unit, configured to judge an actual download amount of the second application in the first recommendation record;
a third judging unit, configured to judge whether the actual download amount meets a second preset condition;
a thirteenth obtaining unit configured to obtain a third fusion ratio when the second preset condition is satisfied;
a second adjusting unit for adjusting the current point data and the current membership grade according to the third fusion ratio.
Further, the apparatus further comprises:
a fourteenth obtaining unit, configured to obtain first access information of the user for the second application;
a fifteenth obtaining unit, configured to obtain the first keyword according to the first access information;
a fourth judging unit, configured to judge whether the first keyword meets a third preset condition;
the first execution unit is used for attaching a first label to the user when the third preset condition is met;
a second execution unit, configured to provide, by the first application, a specific service for the user according to the first tag.
Further, the apparatus further comprises:
a sixteenth obtaining unit, configured to establish a first tag membership library according to the first tag, and obtain a real-time point of the user in the first tag membership library;
a third execution unit, configured to send, by the first application, gift redemption information for the user when the real-time points meet a preset threshold.
Various changes and specific examples of the data fusion method of the member points in the first embodiment of fig. 1 are also applicable to the data fusion device of the member points in the present embodiment, and through the foregoing detailed description of the data fusion method of the member points, those skilled in the art can clearly know the implementation method of the data fusion device of the member points in the present embodiment, so for the brevity of the description, detailed descriptions are omitted here.
EXAMPLE III
Based on the same inventive concept as the data fusion method of the membership points in the previous embodiments, the present invention further provides a data fusion device of the membership points, on which a computer program is stored, which when executed by a processor implements the steps of any one of the aforementioned data fusion methods of the membership points.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
Example four
Based on the same inventive concept as the data fusion method of a membership point in the foregoing embodiments, the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of: obtaining first integral data and a first member grade of a user in a first application; obtaining second point data and a second membership grade of the user in a second application, wherein the second application and the first application have a first association degree; obtaining a first fusion ratio according to the second member level and a preset data fusion rule; obtaining third integral data according to the first fusion ratio and the second integral data; according to the third integral data, after the first integral data is adjusted, current integral data is obtained; and according to the current point data, after the first member grade is adjusted, the current member grade is obtained.
In a specific implementation, when the program is executed by a processor, any method step in the first embodiment may be further implemented.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
according to the data fusion method and device for the member points, provided by the embodiment of the invention, the first point data and the first member grade of a user in the first application are obtained; obtaining second point data and a second membership grade of the user in a second application, wherein the second application and the first application have a first association degree; obtaining a first fusion ratio according to the second member level and a preset data fusion rule; obtaining third integral data according to the first fusion ratio and the second integral data; according to the third integral data, after the first integral data is adjusted, current integral data is obtained; according to the current point data, after the first member grade is adjusted, the current member grade is obtained, so that the technical problems that in the prior art, the system and the method of the member are complicated, points cannot be effectively utilized, and a service provider cannot fuse and innovate the point data are solved, the data can be effectively and accurately fused, the member aggregation effect is improved, and the data utilization rate and the user experience technical effect are improved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A data fusion method for member points is characterized by comprising the following steps:
obtaining first integral data and a first member grade of a user in a first application;
obtaining second point data and a second membership grade of the user in a second application, wherein the second application and the first application have a first association degree;
obtaining a first fusion ratio according to the second member level and a preset data fusion rule;
obtaining third integral data according to the first fusion ratio and the second integral data;
according to the third integral data, after the first integral data is adjusted, current integral data is obtained;
and according to the current point data, after the first member grade is adjusted, the current member grade is obtained.
2. The method according to claim 1, wherein the preset data fusion rule specifically comprises:
obtaining first associated data according to the first integral data and the second integral data;
obtaining first characteristic information according to the first associated data;
and obtaining a first fusion ratio according to the first characteristic information.
3. The method of claim 1, wherein the method further comprises:
obtaining a first consumption record of the user in the second application within a preset time;
judging whether the first consumption record meets a first preset condition or not;
when the first preset condition is met, obtaining a second fusion ratio;
and adjusting the current point data and the current membership grade according to the second fusion ratio.
4. The method of claim 1, wherein the method further comprises:
obtaining a first recommendation record of the user for the second application;
judging the actual downloading amount of the second application in the first recommendation record;
judging whether the actual downloading amount meets a second preset condition or not;
when the second preset condition is met, obtaining a third fusion ratio;
and adjusting the current point data and the current membership grade according to the third fusion ratio.
5. The method of claim 1, wherein the method further comprises:
obtaining first access information of the user to the second application;
obtaining the first keyword according to the first access information;
judging whether the first keyword meets a third preset condition or not;
when the third preset condition is met, attaching a first label to the user;
and the first application provides a specific service for the user according to the first label.
6. The method of claim 5, wherein said tagging the user with a first tag when the third preset condition is met, further comprises:
establishing a first label member library according to the first label, and acquiring the real-time point of the user in the first label member library;
and when the real-time points meet a preset threshold value, the first application sends gift exchange information to the user.
7. A data fusion apparatus for membership points, the apparatus comprising:
the first obtaining unit is used for obtaining first integral data and a first member level of a user in a first application;
a second obtaining unit, configured to obtain second point data of the user and a second membership grade in a second application, where the second application and the first application have a first association degree therebetween;
a third obtaining unit, configured to obtain a first fusion ratio according to a preset data fusion rule according to the second member level;
a fourth obtaining unit configured to obtain third integral data from the first fusion ratio and the second integral data;
a fifth obtaining unit, configured to obtain current integral data after adjusting the first integral data according to the third integral data;
and the sixth obtaining unit is used for obtaining the current member grade after adjusting the first member grade according to the current point data.
8. A data fusion device for membership points, comprising a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the processor executes the program to perform the steps of:
obtaining first integral data and a first member grade of a user in a first application;
obtaining second point data and a second membership grade of the user in a second application, wherein the second application and the first application have a first association degree;
obtaining a first fusion ratio according to the second member level and a preset data fusion rule;
obtaining third integral data according to the first fusion ratio and the second integral data;
according to the third integral data, after the first integral data is adjusted, current integral data is obtained;
and according to the current point data, after the first member grade is adjusted, the current member grade is obtained.
9. A computer-readable storage medium, on which a computer program is stored, which program, when executed by a processor, carries out the steps of:
obtaining first integral data and a first member grade of a user in a first application;
obtaining second point data and a second membership grade of the user in a second application, wherein the second application and the first application have a first association degree;
obtaining a first fusion ratio according to the second member level and a preset data fusion rule;
obtaining third integral data according to the first fusion ratio and the second integral data;
according to the third integral data, after the first integral data is adjusted, current integral data is obtained;
and according to the current point data, after the first member grade is adjusted, the current member grade is obtained.
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