CN111221527A - Optimization method and system applied to user interface element - Google Patents
Optimization method and system applied to user interface element Download PDFInfo
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- CN111221527A CN111221527A CN201911357970.6A CN201911357970A CN111221527A CN 111221527 A CN111221527 A CN 111221527A CN 201911357970 A CN201911357970 A CN 201911357970A CN 111221527 A CN111221527 A CN 111221527A
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Abstract
The invention discloses an optimization method and system applied to user interface elements, wherein the optimization method comprises the following steps: inputting a first user interface element associated with a user; sending the first user interface element to a model engine, and calling a matched user interface model from a user interface element database by the model engine; the model engine synchronizes the data to the big data analysis module to analyze the data to obtain the preference information of the user, and adjusts the user interface model according to the preference information of the user; displaying or influencing a second user interface element in the user interface according to the retrieved user interface model.
Description
Technical Field
The invention relates to the technical field of computers and big data, in particular to an optimization method and system applied to user interface elements.
Background
Since the 21 st century, with the rapid development of society and economy, the technological level is also continuously advanced, especially the gradual development of intelligent software, and the intelligent software plays a great role in the daily production and life of people. Meanwhile, the dependence degree of people on intelligent software is also getting larger and larger. How to reduce the memory burden of a user, improving the use efficiency of the user is the ineffectual power of UI (user interface) development, and the user can be extracted from complex, repeated and low-efficiency operations only through good intelligent interaction experience, so that the method is applied to early-stage research preparation and later-stage scientific research operation, thereby improving social benefits and creating more values.
An intelligent Conversational UI (user interface, CUI for short) is a way for users to connect to services, and the interaction between users and machines mainly occurs in the spoken or written natural language of users.
However, due to the following reasons of the existing CUI technology: the subjective consciousness is strong, and comprehensive cognition and the attitude of the time trial situation are lacked for objective problems; secondly, the product is positioned on one side, more efforts are only put on the optimization of the product technical level and the improvement of the performance, and the optimization and the adjustment of the product from the perspective of user experience are lacked; and thirdly, the resources are limited, and a special staff team is needed for research and practice.
The existing CUI technology has the following problems: firstly, the required information is not actively acquired through a data source; secondly, the user is lack of information obtained by the user in time; thirdly, original contents are analyzed and detected through big data on the basis of a business model and an algorithm model; fourthly, the generated result is not applied to the corresponding channel, and relevant feedback is obtained; fifthly, many complex operations with low business value still need manual participation; sixthly, a plurality of repeated operations and processes still exist; seventhly, analyzing and prejudging the preference, the attention content and the operation behavior of the user in lack; and eighthly, the product and the user lack affinity relation and direct interaction.
Disclosure of Invention
Aiming at the problems in the related art, the invention provides an optimization method and system applied to user interface elements, which can memorize user behavior preference and attention content.
The technical scheme of the invention is realized as follows:
according to one aspect of the invention, there is provided an optimization method applied to a user interface element, comprising:
inputting a first user interface element associated with a user;
sending the first user interface element to a model engine, and calling a matched user interface model from a user interface element database by the model engine;
the model engine synchronizes the data to the big data analysis module to analyze the data to obtain the preference information of the user, and adjusts the user interface model according to the preference information of the user;
displaying or influencing a second user interface element in the user interface according to the retrieved user interface model.
According to an embodiment of the invention, sending the first user interface element to the model engine comprises: the business model of the model engine calls related services according to the first user interface element and sends the first user interface element and the related services to the algorithm model of the model engine; and adjusting the service model and the algorithm model according to the preference information of the user.
According to an embodiment of the present invention, the optimization method applied to the user interface element further includes: the big data analysis module stores the data and the analysis result in the memory storage module.
According to an embodiment of the present invention, after sending the first user interface element to the model engine, further comprising: and checking whether the memory storage module has the content related to the first user interface element, and if so, calling the data and analyzing the result through the memory storage module.
According to an embodiment of the present invention, the preference information of the user includes at least one of a preference configuration and an operation habit of the user.
According to another aspect of the present invention, there is provided an optimization system applied to a user interface element, comprising:
an input module for inputting a first user interface element associated with a user;
the model engine is used for receiving the first user interface element and calling a matched user interface model from the user interface element database;
the big data analysis module is used for receiving the data synchronized by the model engine, analyzing the data to obtain preference information of a user, and adjusting the user interface model according to the preference information of the user;
and the display module is used for displaying or influencing the second user interface element in the user interface according to the called user interface model.
According to the embodiment of the invention, the model engine comprises a business model and an algorithm model, wherein the business model is used for calling the related service according to the first user interface element and sending the first user interface element and the related service to the algorithm model of the model engine; the big data analysis module is also used for adjusting the business model and the algorithm model according to the preference information of the user.
According to an embodiment of the present invention, the optimization system applied to the user interface element further comprises: and the big data analysis module stores the data and the analysis result in the memory storage module.
According to an embodiment of the present invention, the model engine is further configured to check whether the memory storage module has content associated with the first user interface element, and if so, retrieve data and analyze results through the memory storage module.
According to an embodiment of the present invention, the preference information of the user includes at least one of a preference configuration and an operation habit of the user.
According to the technical scheme, the data are synchronized to the big data analysis module through the model engine to analyze and obtain the preference information of the user, the data information of the user can be automatically obtained and analyzed, the behavior preference and the concerned content of the user are memorized, the operation path of the user is predicted, reasonable suggestions are recommended, the user is helped to judge and operate, the thinking, the operation and the judgment of the user on the repeated and low-benefit content are reduced, the expectation of the user is met, the user can be taken out from the complex, repeated and low-efficiency operation, the user is invested in early-stage research preparation and later-stage scientific research operation, social benefits are improved, and more values are created.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a flow diagram of an optimization method applied to a user interface element, according to an embodiment of the invention;
FIG. 2 is a flow diagram of an optimization method applied to a user interface element in accordance with a specific embodiment of the present invention;
FIG. 3 is an optimization flow diagram of an optimization method applied to a user interface element, according to a specific embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present invention.
According to an embodiment of the present invention, an optimization method applied to a user interface element is provided. As shown in fig. 1, the optimization method applied to the user interface element according to the embodiment of the present invention may include the following steps:
s11, a first user interface element (i.e., a first UI element) associated with the user is input.
S12, the first UI element is sent to the model engine, and the model engine calls the matched user interface model from the user interface element database.
And S13, the model engine synchronizes the data to the big data analysis module to analyze the data to obtain the preference information of the user, and adjusts the user interface model according to the preference information of the user. In some embodiments, the preference information of the user includes at least one of a preference configuration and an operation habit of the user.
S14, displaying or affecting the second UI element in the user interface according to the called user interface model.
According to the technical scheme, the data are synchronized to the big data analysis module through the model engine to analyze and obtain the preference information of the user, the data information of the user can be automatically obtained and analyzed, the behavior preference and the concerned content of the user are memorized, the operation path of the user is predicted, reasonable suggestions are recommended, the user is helped to judge and operate, the thinking, the operation and the judgment of the user on the repeated and low-benefit content are reduced, the expectation of the user is met, the user can be taken out from the complex, repeated and low-efficiency operation, the user is invested in early-stage research preparation and later-stage scientific research operation, social benefits are improved, and more values are created.
The technical scheme of the invention is realized by carrying out intelligent representation on the non-intelligent object based on UI concept, technical capability and intelligent representation capability and characteristics, and the behavior is represented through contacts. Active sensing, real-time analysis, autonomous decision making, accurate execution and humanized interaction are covered.
Various embodiments of the present invention are further described below in conjunction with fig. 2.
In one embodiment, sending the first UI element to the model engine comprises: the business model of the model engine calls related services according to the first UI element and sends the first UI element and the related services to the algorithm model of the model engine; and adjusting the service model and the algorithm model according to the preference information of the user. As shown in fig. 2, a user accesses a service model of the system through a first UI element, and invokes a service (service) relationship associated with a background based on a keyword or operation content of the first UI element. And the business model associates the first UI element with the called service and transmits the first UI element and the called service to the algorithm model, and the algorithm model calls the matched UI model from the UI model library based on the matching degree of the data structure and the UI model and displays the second UI element in the UI interface or influences the second UI element.
The model engine synchronizes data to big data in real time after model calling and calculation, the big data analyzes the data to obtain the preference configuration and operation habit of a user, and optimizes and adjusts the service model, the algorithm model and the UI model.
In one embodiment, the optimization method applied to the user interface element further comprises: the big data analysis module stores the data and the analysis result in the memory storage module. As shown in FIG. 3, the analysis results and the related data are submitted to the memory storage, so that the system can quickly and accurately judge and suggest the user behavior in the future.
In one embodiment, after sending the first UI element to the model engine, further comprising: and checking whether the memory storage module has the content related to the first UI element, and if so, calling data and analyzing results through the memory storage module. And accessing the service model passed by the system by the user through the first UI element, and calling the service relation related to the background based on the keywords or the operation content of the first UI element. And checking whether the memory storage has associated content according to the relationship content, and if so, directly accessing the memory storage and quickly and accurately calling. Thereafter, the UI model library is matched and a second UI element is displayed or affected in the UI interface. Meanwhile, the related data of the common calling relation and the storage condition is submitted to the big data, the big data is analyzed in real time, and the analysis result is stored in the memory to optimize the original data.
In conclusion, the optimization method applied to the user interface elements organically combines the service model, the algorithm model and the UI model library, introduces big data and memory storage, analyzes data of behavior habits and preferences of the user at any time, stores the data, and optimizes the data. By the method, repeated operation behaviors and information contents with low business value in a large amount of operations or a large amount of information can be solved, and algorithm extraction is used for replacement, so that a large amount of judgment and operation tasks of a user are reduced; monitoring the running state of the system and the content of user operation in real time, actively obtaining required information through a data source, and accurately feeding back and influencing the relation and the result between the content and the operation; memory storage and data analysis, familiarity with user preferences, anticipation of user operation and giving reasonable suggestions.
There is also provided, in accordance with an embodiment of the present invention, a system for optimizing a user interface element, including:
an input module for inputting a first UI element associated with a user;
the model engine is used for receiving the first UI element and calling a matched user interface model from the user interface element database;
the big data analysis module is used for receiving the data synchronized by the model engine, analyzing the data to obtain preference information of a user, and adjusting the user interface model according to the preference information of the user;
and the display module is used for displaying or influencing the second UI element in the user interface according to the called user interface model.
According to the embodiment of the invention, the model engine comprises a business model and an algorithm model, wherein the business model is used for calling the related service according to the first UI element and sending the first UI element and the related service to the algorithm model of the model engine; the big data analysis module is also used for adjusting the business model and the algorithm model according to the preference information of the user.
According to an embodiment of the present invention, the optimization system applied to the user interface element further comprises: and the big data analysis module stores the data and the analysis result in the memory storage module.
According to the embodiment of the invention, the model engine is further used for checking whether the memory storage module has the content associated with the first UI element, and if so, retrieving data and analyzing the result through the memory storage module.
According to an embodiment of the present invention, the preference information of the user includes at least one of a preference configuration and an operation habit of the user.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. An optimization method applied to a user interface element, comprising:
inputting a first user interface element associated with a user;
sending the first user interface element to a model engine, and calling a matched user interface model from a user interface element database by the model engine;
the model engine synchronizes data to a big data analysis module so as to analyze the data to obtain preference information of the user, and adjusts the user interface model according to the preference information of the user;
and displaying or influencing a second user interface element in the user interface according to the called user interface model.
2. The optimization method applied to the user interface element according to claim 1, wherein sending the first user interface element to a model engine comprises:
the business model of the model engine calls related services according to the first user interface element and sends the first user interface element and the related services to the algorithm model of the model engine;
wherein the business model and the algorithm model are further adjusted according to the preference information of the user.
3. The optimization method applied to the user interface element according to claim 1, further comprising:
and the big data analysis module stores the data and the analysis result in a memory storage module.
4. The optimization method applied to user interface elements according to claim 3, further comprising, after sending the first user interface element to a model engine:
and checking whether the memory storage module has the content related to the first user interface element, and if so, calling the data and the analysis result through the memory storage module.
5. The optimization method applied to the user interface element according to claim 1, wherein the preference information of the user comprises at least one of a preference configuration and an operation habit of the user.
6. An optimization system for application to a user interface element, comprising:
an input module for inputting a first user interface element associated with a user;
the model engine is used for receiving the first user interface element and calling a matched user interface model from a user interface element database;
the big data analysis module is used for receiving the data synchronized by the model engine, analyzing the data to obtain the preference information of the user, and adjusting the user interface model according to the preference information of the user;
and the display module is used for displaying or influencing a second user interface element in the user interface according to the called user interface model.
7. The optimization system for application to a user interface element according to claim 6,
the model engine comprises a business model and an algorithm model, wherein the business model is used for calling related services according to the first user interface element and sending the first user interface element and the related services to the algorithm model of the model engine;
the big data analysis module is further used for adjusting the business model and the algorithm model according to the preference information of the user.
8. The optimization system applied to the user interface element of claim 6, further comprising:
and the big data analysis module stores the data and the analysis result in the memory storage module.
9. The system of claim 8, wherein the model engine is further configured to check whether content associated with the first user interface element is available in the memory storage module, and if so, retrieve the data and the analysis results via the memory storage module.
10. The optimization system applied to the user interface element according to claim 6, wherein the preference information of the user includes at least one of a preference configuration and an operation habit of the user.
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| CN102169431A (en) * | 2010-02-26 | 2011-08-31 | 国际商业机器公司 | Method and device for generation of optimized user interface |
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