CN110472162B - Evaluation method, system, terminal and readable storage medium - Google Patents
Evaluation method, system, terminal and readable storage medium Download PDFInfo
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Abstract
The invention discloses an evaluation method, an evaluation system, a terminal and a readable storage medium, wherein the evaluation method comprises the following steps: acquiring a demand event of a user, and determining a target event type to which the demand event belongs; determining a target evaluation function matched with the target event type according to the target event type and a preset weight model; collecting alternative data of a target area corresponding to the demand event; and calculating an evaluation result corresponding to the demand event according to the target evaluation function and the alternative data. Therefore, based on the demand event of the user and the acquired alternative data, the evaluation result in the target area corresponding to the demand event can be rapidly acquired, and the evaluation result is attached to the actual situation, so that the evaluation is more objective and accurate.
Description
Technical Field
The present invention relates to the field of financial technology (Fintech), and in particular, to an evaluation method, system, terminal, and readable storage medium.
Background
With the rapid development of financial technology (Fitech), especially internet financial technology, there have been increasing applications of technology in the financial field, and the living standard of people has increased, and more people choose to purchase houses, or to conduct business. For example, when a person selects a certain area to purchase a house, the person needs to go to a site to examine whether local traffic is convenient or estimate how far away from a school or a hospital is likely to be, and may need to search the internet for some evaluation information about the area.
However, according to the investigation data of the area on the spot of people or by looking at the data of the evaluation information on the network, people can obtain an evaluation result through the data, and the evaluation result of the area influence can influence the judgment of people due to various factors in reality, so that the problem of inaccurate evaluation result of the area influence is caused.
Disclosure of Invention
The invention mainly aims to provide an evaluation method, an evaluation system, a terminal and a readable storage medium, and aims to solve the technical problem of inaccurate evaluation results in the prior art.
To achieve the above object, the present invention provides an evaluation method including:
acquiring a demand event of a user, and determining a target event type to which the demand event belongs;
determining a target evaluation function matched with the target event type according to the target event type and a preset weight model;
collecting alternative data of a target area corresponding to the demand event;
and calculating an evaluation result corresponding to the demand event according to the target evaluation function and the alternative data.
Further, the preset weight model comprises at least one evaluation function, and each evaluation function corresponds to an event type; the step of determining a target evaluation function matched with the target event type according to the target event type and a preset weight model comprises the following steps:
traversing each evaluation function and determining the target evaluation function matched with the target event type based on the traversing result.
Further, the evaluation function includes a weight interval function of spatial data, a weight interval function of public opinion data, a weight interval function of environmental data, and a weight interval function of social data.
Further, the step of calculating an evaluation result corresponding to the demand event according to the objective evaluation function and the alternative data includes:
determining a target weight interval according to the target evaluation function and the target event type, wherein the target weight interval comprises a target weight interval of space data, a target weight interval of public opinion data, a target weight interval of environment data and a target weight interval of social data;
determining target weights according to the alternative data and target weight intervals, wherein the target weights comprise spatial data weights, public opinion data weights, environment data weights and social data weights;
acquiring a spatial index value, a public opinion index value, an environment index value and a social index value corresponding to the alternative data;
the evaluation result is calculated based on the target weight, the spatial index value, the public opinion index value, the environmental index value, and the social index value.
Further, the alternative data includes spatial data, public opinion data, environmental data, and social data.
Further, the step of obtaining the demand event of the user and determining the target event type to which the demand event belongs includes:
acquiring a demand event of a user, and extracting keywords in information corresponding to the demand event;
judging whether the keywords are matched with preset keywords or not;
and if the keyword is matched with the preset keyword, taking the event type corresponding to the preset keyword as the target event type to which the demand event belongs.
Further, after the step of calculating the evaluation result corresponding to the requirement event according to the objective evaluation function and the alternative data, the method includes:
and determining suggestions matched with the evaluation results according to the evaluation results corresponding to the demand events, and displaying the suggestions.
The present invention also provides an evaluation system including:
the acquisition module is used for acquiring a demand event of a user and determining a target event type to which the demand event belongs;
the determining module is used for determining a target evaluation function matched with the target event type according to the target event type and a preset weight model;
the acquisition module is used for acquiring the other data of the target area corresponding to the demand event;
and the calculation module is used for calculating an evaluation result corresponding to the requirement event according to the target evaluation function and the alternative data.
The invention also provides a terminal, which comprises: the system comprises a memory, a processor and a program stored in the memory and capable of running on the processor, wherein the evaluation program is executed by the processor to realize the steps of the evaluation method.
The invention also provides a readable storage medium, characterized in that the readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the evaluation method as described above.
According to the evaluation method provided by the embodiment of the invention, the demand event of the user is obtained, the target event type of the demand event is determined, and the target evaluation function matched with the target event type is determined according to the target event type and the preset weight model; collecting alternative data of a target area corresponding to the demand event; and calculating an evaluation result corresponding to the demand event according to the target evaluation function and the alternative data. Therefore, based on the demand event of the user and the acquired alternative data, the evaluation result in the target area corresponding to the demand event can be rapidly acquired, and the evaluation result is attached to the actual situation, so that the evaluation is more objective and accurate.
Drawings
Fig. 1 is a schematic structural diagram of a hardware-operated terminal according to an embodiment of the present invention;
FIG. 2 is a flow chart of an embodiment of an evaluation method according to the present invention;
FIG. 3 is a schematic diagram of a frame structure of an embodiment of an evaluation system according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, fig. 1 is a schematic diagram of a terminal structure of a hardware running environment according to an embodiment of the present invention.
The terminal of the embodiment of the invention can be a PC, or can be a mobile terminal device with a display function, such as a smart phone, a tablet personal computer, an electronic book reader, an MP3 (Moving Picture Experts Group Audio Layer III, dynamic image expert compression standard audio layer 3) player, an MP4 (Moving Picture Experts Group Audio Layer IV, dynamic image expert compression standard audio layer 3) player, a portable computer and the like.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
Optionally, the terminal may further include a camera, an RF (Radio Frequency) circuit, a sensor, an audio circuit, a WiFi module, and the like. Among other sensors, such as light sensors, motion sensors, and other sensors. In particular, the light sensor may include an ambient light sensor that may adjust the brightness of the display screen according to the brightness of ambient light, and a proximity sensor that may turn off the display screen and/or backlight when the terminal is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the acceleration in all directions (generally three axes), and can detect the gravity and the direction when the device is stationary, and the device can be used for applications of recognizing the gesture of a terminal (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and knocking), and the like; of course, the terminal may also be configured with other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, and the like, which are not described in detail herein.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not limiting of the terminal and may include more or fewer components than shown, or may combine certain components, or may be a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and an evaluation program may be included in the memory 1005 as one type of computer storage medium.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a background server and performing data communication with the background server; the user interface 1003 is mainly used for connecting a client (user terminal) and performing data communication with the client; and the processor 1001 may be configured to call an evaluation program stored in the memory 1005 and perform the following operations:
acquiring a demand event of a user, and determining a target event type to which the demand event belongs;
determining a target evaluation function matched with the target event type according to the target event type and a preset weight model;
collecting alternative data of a target area corresponding to the demand event;
and calculating an evaluation result corresponding to the demand event according to the target evaluation function and the alternative data.
Further, the preset weight model comprises at least one evaluation function, and each evaluation function corresponds to an event type; traversing each evaluation function and determining the target evaluation function matched with the target event type based on the traversing result.
Further, the evaluation function includes a weight interval function of spatial data, a weight interval function of public opinion data, a weight interval function of environmental data, and a weight interval function of social data.
Determining a target weight interval according to the target evaluation function and the target event type, wherein the target weight interval comprises a target weight interval of space data, a target weight interval of public opinion data, a target weight interval of environment data and a target weight interval of social data;
determining target weights according to the alternative data and target weight intervals, wherein the target weights comprise spatial data weights, public opinion data weights, environment data weights and social data weights;
acquiring a spatial index value, a public opinion index value, an environment index value and a social index value corresponding to the alternative data;
the evaluation result is calculated based on the target weight, the spatial index value, the public opinion index value, the environmental index value, and the social index value.
Further, the alternative data includes spatial data, public opinion data, environmental data, and social data.
Further, according to the evaluation result corresponding to the demand event, a suggestion matched with the evaluation result is determined, and the suggestion is displayed.
Referring to fig. 2, the present invention proposes various embodiments of the method of the present invention based on the above-mentioned terminal hardware structure.
The invention provides an evaluation method, which is applied to a terminal, and in one embodiment of the evaluation method, referring to fig. 2, the evaluation method comprises the following steps:
step S10, acquiring a demand event of a user, and determining a target event type to which the demand event belongs;
the terminal acquires the demand event of the user and determines the target event type to which the demand event belongs. The terminal may be a mobile phone, and the demand event may include an event that a user needs to rent a house or purchase a house in a certain area, and may also include an event that a user needs to purchase a shop or a public company in a certain area. In this embodiment, the target event type may include a life event type or a business event type, and the target event type may also include other event types, but is not particularly limited herein. For example, when the target event type is a life event type or a business type event type, the house renting event and the house purchasing event of the user are correspondingly classified as life event types; the user's shopping mall event or company opening event can also be correspondingly classified as a business event type. Specifically, when the terminal acquires information of renting or purchasing a house input by a user on an input interface of an application program, it is determined that the information of renting or purchasing the house input by the user corresponds to a life event type. The application may be a house-buying or house-renting APP.
Step S20, determining a target evaluation function matched with the target event type according to the target event type and a preset weight model;
and the terminal determines a target evaluation function matched with the target event type according to the target event type and a preset weight model. The preset weight model may be a weight model which is previously built according to the life event type and the business event type, or may be another event type, which is not limited herein. The preset weight model comprises at least one evaluation function, each evaluation function corresponds to one event type, for example, a life event type corresponds to one evaluation function, a business event type corresponds to another evaluation function, and when the target event type to which the user demand event belongs is the life event type, the evaluation function corresponding to the life event type is determined to be the target evaluation function.
Step S30, collecting alternative data of a target area corresponding to a demand event;
the terminal collects the other data of the target area corresponding to the demand event. The alternative data mainly comprises, but is not limited to, spatial data, public opinion data, environment data and social data. Further, the terminal may obtain alternative data according to various channels, for example, the terminal may obtain alternative data from a big data server, a remote sensing satellite image, a weather server, etc., or may obtain alternative data from government data, judicial data, financial supervision data published on a government/structural network platform by using a manner of accessing a government/structural network, or obtain alternative data from data such as mainstream news media, bar, forum, app, public numbers, satellite data, e-commerce data, financial quotation, etc. based on a data crawler technology. It should be noted that, the terminal may acquire the alternative data through other channels, but is not limited herein specifically. The spatial data includes, but is not limited to, traffic information and greening information; the public opinion data includes, but is not limited to, rating information and news information; the environmental data includes, but is not limited to, weather temperature information and noise information; the social data includes, but is not limited to, subway planning information, school planning information, and hospital planning information. For example, when a user needs to purchase a house in the Shenzhen baobaan region, the Shenzhen baobaan region is the target region, and at this time, spatial data, public opinion data, environmental data and social data in the Shenzhen baobaan region are collected.
And S40, calculating an evaluation result corresponding to the demand event according to the target evaluation function and the alternative data.
And the terminal calculates an evaluation result corresponding to the demand event according to the target evaluation function and the alternative data.
In this embodiment, the terminal obtains a demand event of a user, determines a target event type to which the demand event belongs, determines a target evaluation function matched with the target event type according to the target event type and a preset weight model, collects another data of a target area corresponding to the demand event, and calculates an evaluation result corresponding to the demand event according to the target evaluation function and the another data. Therefore, based on the demand event of the user and the acquired alternative data, the evaluation result in the target area corresponding to the demand event can be rapidly acquired, and the evaluation result is attached to the actual situation, so that the evaluation is more objective and accurate.
Based on the first embodiment, a second embodiment of the method of the present invention is proposed, in this embodiment, the step S10 includes:
step S11, acquiring a demand event of a user, and extracting keywords in information corresponding to the demand event;
step S12, judging whether the keywords are matched with preset keywords or not;
step S13, if the keyword is matched with the preset keyword, the event type corresponding to the preset keyword is used as the target event type to which the demand event belongs.
In this embodiment, the input interface of the terminal includes a prompt window for prompting the user to input the requirement event, when the user inputs information, the terminal acquires and extracts a keyword or a paraphrasing of the keyword in the information corresponding to the requirement event input, where the keyword may also be a keyword of a word, the keyword or the paraphrasing of the keyword is compared with a preset keyword, if the keyword or the paraphrasing of the keyword is matched with the preset keyword, the event type corresponding to the preset keyword is used as the target event type to which the requirement event belongs, and if the keyword or the paraphrasing of the keyword is not matched with the preset keyword, the input interface of the terminal prompts the user to re-input the information, and re-acquires the requirement event of the user, and judges the target event type to which the user belongs. Specifically, the preset keywords include: purchase room, lease room, division, purchase shop, division, etc., wherein purchase room, lease room are categorized as life event types, division, purchase shop, division are categorized as business event types. And if the extracted keywords are matched with the preset keywords, taking the event type corresponding to the preset keywords as the target event type to which the demand event belongs.
For example, when the user inputs "i want to purchase a set of living houses in Shenzhen baoan district" in the input window, the keywords therein are extracted: shenzhen baoan, purchase, house, etc. Optionally, the extracted keywords are further recombined into complete phrases: and the Shenzhen baby buying room is subjected to voice broadcasting or text display, so that a user can confirm whether the terminal has identified the demand event input by the user, and when a confirmation instruction is acquired, the terminal can correctly identify the demand event input by the user.
In this embodiment, by acquiring a demand event of a user, extracting a keyword in information corresponding to the demand event, judging whether the keyword is matched with a preset keyword, if the keyword is matched with the preset keyword, taking an event type corresponding to the preset keyword as a target event type to which the demand event belongs, and if the keyword or a close meaning word of the keyword is not matched with the preset keyword, prompting the user to re-input information by an input interface of the terminal, re-acquiring the demand event of the user, and judging the event type to which the user belongs. Therefore, by judging that the keywords are preset keywords, the terminal can correctly identify the requirement event input by the user, and the identification rate of the terminal is improved.
Based on the first embodiment and the second embodiment, a third embodiment of the method of the present invention is proposed, in which step S20 may specifically include the following steps:
step S21, traversing each evaluation function, and determining a target evaluation function matched with the target event type based on the traversing result.
The terminal accesses each evaluation function in turn to obtain a traversing result, and determines a target evaluation function matched with the target event type based on the traversing result. The evaluation function may include a weight interval function of spatial data, a weight interval function of public opinion data, a weight spatial function of environmental data, and a weight interval function of social data.
In other embodiments, the terminal accesses each evaluation function in turn, when accessing one evaluation function, determines whether the evaluation function matches the target event type, if so, determines the target evaluation function that matches the target event type, and stops accessing the next evaluation function; if not, then the next evaluation function is continued to be accessed.
If all the evaluation functions are traversed and the target evaluation function which is not matched with the target event type still exists, a prompt message of 'no matched evaluation function' is sent, and a user is prompted to input a required event again. When the user re-inputs the demand event, step S10 is re-executed.
In the embodiment, the objective evaluation function matched with the objective event type is determined by traversing each evaluation function and based on the traversing result; if all the evaluation functions are traversed and the target evaluation function which is not matched with the target event type still does not exist, prompt information of 'no matched evaluation function' is sent, and a user is prompted to input a demand event again, so that the matching rate of the terminal can be improved due to the fact that the target event type corresponds to the matched target evaluation function.
A fourth embodiment of the method according to the present invention is presented based on the first embodiment, the second embodiment and the third embodiment, and in this embodiment, the step S40 may specifically include the following steps:
step S41, determining a target weight interval according to a target evaluation function and a target event type;
when the target event type corresponding to the demand event of the user is confirmed, determining a target evaluation function corresponding to the target event type based on the target event type, wherein the target weight interval comprises a target weight interval of space data, a target weight interval of public opinion data, a target weight interval of environment data and a target weight interval of social data.
In the present embodiment, the evaluation function includes, but is not limited to, a weight interval function of spatial data, a right interval function of public opinion data, a weight interval function of environmental data, and a weight interval function of social data. Optionally, the evaluation function is preset as a preset model based on the event type, or a preset model under server big data analysis, for example, the evaluation function preset based on the life event type is a first evaluation function, and the evaluation function preset based on the business event type is a second evaluation function.
A detailed description will be given of how to determine a target weight section of the environmental data, as an example. The environmental data may include weather temperature information and noise information, and the weight interval function of the environmental data is determined based on the weather temperature information and the noise information, for example, the value of the weight interval function of the environmental data is preset to [40% -55% ]. Generally, since the severity of the environment has a large influence on the quality of life of people, but the severity of the environment has less influence on the business activities, the weight interval function value of the environmental data in the first evaluation function is large relative to the weight interval function value of the environmental data in the second evaluation function, and when the weight interval function value of the environmental data in the first evaluation function is [40% -55% ], the weight interval function value of the environmental data in the second evaluation function is [25% -40% ].
Step S42, determining target weights according to the alternative data and the target weight interval, wherein the target weights comprise spatial data weights, public opinion data weights, environment data weights and social data weights;
in this embodiment, when the demand event of the user is a buyer or a renter, the demand event of the user is classified as a life event type, the target event type at this time is a life event type, and the target evaluation function is a first evaluation function. Based on this, the weight value of the environmental data is further determined according to the alternative data, for example, the weight interval function value of the environmental data of the first evaluation function is [40% -55% ], the adjustment is performed taking the middle value of the interval as the base, if the environmental quality in the target area is poor, the percentage is correspondingly reduced, but the lowest value cannot be lower than the lowest value (i.e. 40%) of the interval; if the quality of the environment in the target area is better, the percentage is increased accordingly, but the maximum value cannot be higher than the maximum value of the interval (i.e. 55%). Optionally, based on various factors in the environmental data (e.g., weather temperature information and noise information, etc.), the final environmental data weights are adjusted sequentially and obtained. Based on the same method, the spatial data weight, the public opinion data weight and the social data weight can be determined.
Step S43, obtaining a spatial index value, a public opinion index value, an environment index value and a social index value corresponding to the alternative data;
in this embodiment, the spatial index value, the public opinion index value, the environmental index value, and the social index value are also acquired correspondingly based on the alternative data, for example, based on an analysis technique of server big data, the alternative data is acquired and analyzed, and a detailed description will be given of how to acquire the environmental index value. The environmental data may include weather temperature information and noise information, wherein the weather temperature information and the noise information may both affect the environmental index value, and the weather temperature information and the noise information are the influencing factors under the environmental index value, so that the environmental index value=weather temperature index value×weather temperature weight+noise index value×noise weight+ … ….
Based on the other data, the severity of the weather temperature (corresponding to the weather temperature weight) and the preset weather temperature sub-index value, and the severity of the noise (corresponding to the noise weight) and the preset noise sub-index value can be known, so that the environment index value can be calculated.
Based on the same method process, the spatial index value, the public opinion index value and the social index value can be obtained.
Step S44, calculating the evaluation result based on the target weight, the spatial index value, the public opinion index value, the environment index value and the social index value.
In this embodiment, the evaluation function is: evaluation function= (spatial data weight function, public opinion data weight function, environmental data weight function, social data weight function, spatial index value, public opinion index value, environmental index value, social index value) =spatial data weight spatial index value+public opinion data weight public opinion index value+environmental data weight environmental index value+social data weight social index value. Therefore, the evaluation result can be calculated based on the spatial data weight, the public opinion data weight, the environmental data weight, the social data weight, the spatial index value, the public opinion index value, the environmental index value, and the social index value.
In this embodiment, a target weight interval is determined according to a target evaluation function and a target event type, a target weight is determined according to another type of data and the target weight interval, the target weight includes a spatial data weight, a public opinion data weight, an environmental data weight and a social data weight, a spatial index value, a public opinion index value, an environmental index value and a social index value corresponding to the another type of data are obtained, and the evaluation result is calculated based on the target weight, the spatial index value, the public opinion index value, the environmental index value and the social index value. Therefore, based on the target evaluation function corresponding to the user demand event and the collected alternative data, an evaluation result is calculated, and further the evaluation result is more fit with the actual situation, so that the evaluation result is more objective and accurate.
Further, after the step of calculating the evaluation result corresponding to the demand event according to the objective evaluation function and the additional data, it includes:
and step A, determining suggestions matched with the evaluation results according to the evaluation results corresponding to the demand events, and displaying the suggestions.
The terminal can determine suggestions matched with the evaluation results according to the evaluation results corresponding to the demand events; and displays the advice at the terminal. In this embodiment, the terminal may obtain the priority of the evaluation result according to the demand event, and match the corresponding suggestion according to the priority. Specifically, the priority of the evaluation result may be classified into high, good, medium, low, etc., and the advice is displayed on the terminal according to the level of the priority, so as to be available for the user to refer to. For example, when the user inputs "i want to purchase a set of living houses in Shenzhen baoan district" in the input window, the terminal calculates that the corresponding evaluation result is superior according to the demand event, and the suggestion corresponding to the matching evaluation result is that the environment and traffic in the area are very convenient, and the user can purchase houses in the area.
In one embodiment, as shown in fig. 3, fig. 3 is a schematic frame structure of an embodiment of an evaluation result system 50 according to the present invention, including: acquisition module 51, determination module 52, acquisition module 53 and 54 calculation module, wherein:
the acquiring module 51 is configured to acquire a demand event of a user, and determine a target event type to which the demand event belongs;
a determining module 52, configured to determine, according to the target event type and a preset weight model, a target evaluation function that matches the target event type;
the acquisition module 53 is configured to acquire another data of the target area corresponding to the demand event;
and a calculation module 54, configured to calculate an evaluation result corresponding to the demand event according to the objective evaluation function and the alternative data.
For specific limitations on the evaluation result system, reference may be made to the above limitations on the evaluation result processing, and will not be described in detail herein. The various modules in the above-described assessment results system may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In addition, an embodiment of the present invention also proposes a readable storage medium (i.e., a computer readable memory) having stored thereon an evaluation program that, when executed by a processor, performs the following operations:
acquiring a demand event of a user, and determining a target event type to which the demand event belongs;
determining a target evaluation function matched with the target event type according to the target event type and a preset weight model;
collecting alternative data of a target area corresponding to the demand event;
and calculating an evaluation result corresponding to the demand event according to the target evaluation function and the alternative data.
Further, the preset weight model comprises at least one evaluation function, and each evaluation function corresponds to an event type; traversing each evaluation function and determining the target evaluation function matched with the target event type based on the traversing result.
Further, the evaluation function includes a weight interval function of spatial data, a weight interval function of public opinion data, a weight interval function of environmental data, and a weight interval function of social data.
Further, determining a target weight interval according to the target evaluation function and the target event type, wherein the target weight interval comprises a target weight interval of space data, a target weight interval of public opinion data, a target weight interval of environment data and a target weight interval of social data;
determining target weights according to the alternative data and target weight intervals, wherein the target weights comprise spatial data weights, public opinion data weights, environment data weights and social data weights;
acquiring a spatial index value, a public opinion index value, an environment index value and a social index value corresponding to the alternative data;
the evaluation result is calculated based on the target weight, the spatial index value, the public opinion index value, the environmental index value, and the social index value.
Further, the alternative data includes spatial data, public opinion data, environmental data, and social data.
Further, acquiring a demand event of a user, and extracting keywords in information corresponding to the demand event;
judging whether the keywords are matched with preset keywords or not;
and if the keyword is matched with the preset keyword, taking the event type corresponding to the preset keyword as the target event type to which the demand event belongs.
Further, according to the evaluation result corresponding to the demand event, a suggestion matched with the evaluation result is determined, and the suggestion is displayed.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of embodiments, it will be clear to a person skilled in the art that the above embodiment method may be implemented by means of software plus a necessary general hardware platform, but may of course also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures disclosed herein or equivalent processes shown in the accompanying drawings, or any application, directly or indirectly, in other related arts.
Claims (6)
1. An evaluation method, characterized in that the evaluation method comprises:
acquiring a demand event of a user, and determining a target event type and a target area to which the demand event belongs;
determining a target evaluation function matched with the target event type according to the target event type and a preset weight model;
collecting alternative data of a target area corresponding to the demand event, wherein the alternative data comprises space data, public opinion data, environment data and social data;
calculating an evaluation result in a target area corresponding to the demand event according to the target evaluation function and the alternative data;
determining suggestions matched with the evaluation results according to the evaluation results corresponding to the demand events, and displaying the suggestions;
the step of acquiring a demand event of a user and determining a target event type to which the demand event belongs includes:
acquiring a demand event of a user, and extracting keywords in information corresponding to the demand event;
judging whether the keywords are matched with preset keywords or not;
if the keyword is matched with the preset keyword, taking an event type corresponding to the preset keyword as the target event type to which the demand event belongs;
wherein the step of calculating the evaluation result in the target area corresponding to the demand event according to the target evaluation function and the alternative data comprises the following steps:
determining a target weight interval according to the target evaluation function and the target event type, wherein the target weight interval comprises a target weight interval of space data, a target weight interval of public opinion data, a target weight interval of environment data and a target weight interval of social data;
determining target weights according to the alternative data and the target weight interval, wherein the target weights comprise spatial data weights, public opinion data weights, environment data weights and social data weights;
acquiring a space index value, a public opinion index value, an environment index value and a social index value corresponding to the alternative data;
the evaluation result is calculated based on the target weight, the spatial index value, the public opinion index value, the environmental index value, and the social index value.
2. The assessment method according to claim 1, wherein said preset weight model comprises at least one assessment function, each of said assessment functions corresponding to an event type; the step of determining a target evaluation function matched with the target event type according to the target event type and a preset weight model comprises the following steps:
traversing each evaluation function and determining the target evaluation function matched with the target event type based on the traversing result.
3. The evaluation method of claim 2, wherein the evaluation function includes a weight interval function of spatial data, a weight interval function of public opinion data, a weight interval function of environmental data, and a weight interval function of social data.
4. An evaluation system, characterized in that the evaluation system comprises:
the acquisition module is used for acquiring a demand event of a user and determining a target event type and a target area to which the demand event belongs;
the determining module is used for determining a target evaluation function matched with the target event type according to the target event type and a preset weight model;
the acquisition module is used for acquiring the alternative data of the target area corresponding to the demand event, wherein the alternative data comprises space data, public opinion data, environment data and social data;
the calculation module is used for calculating an evaluation result in a target area corresponding to the demand event according to the target evaluation function and the alternative data;
wherein the evaluation system is further for:
determining suggestions matched with the evaluation results according to the evaluation results corresponding to the demand events, and displaying the suggestions;
the acquisition module is specifically configured to:
acquiring a demand event of a user, and extracting keywords in information corresponding to the demand event;
judging whether the keywords are matched with preset keywords or not;
if the keyword is matched with the preset keyword, taking an event type corresponding to the preset keyword as the target event type to which the demand event belongs;
the computing module is specifically configured to:
determining a target weight interval according to the target evaluation function and the target event type, wherein the target weight interval comprises a target weight interval of space data, a target weight interval of public opinion data, a target weight interval of environment data and a target weight interval of social data;
determining target weights according to the alternative data and the target weight interval, wherein the target weights comprise spatial data weights, public opinion data weights, environment data weights and social data weights;
acquiring a space index value, a public opinion index value, an environment index value and a social index value corresponding to the alternative data;
the evaluation result is calculated based on the target weight, the spatial index value, the public opinion index value, the environmental index value, and the social index value.
5. A terminal, the terminal comprising: a memory, a processor and a program stored on the memory and executable on the processor, which when executed by the processor, performs the steps of the evaluation method according to any one of claims 1 to 3.
6. A readable storage medium, characterized in that it has stored thereon a computer program which, when executed by a processor, implements the steps of the evaluation method according to any one of claims 1 to 3.
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| CN111861514B (en) * | 2020-07-30 | 2023-09-12 | 北京车薄荷科技有限公司 | Personnel recommendation method and personnel recommendation system |
| CN112435059A (en) * | 2020-11-24 | 2021-03-02 | 广州富港生活智能科技有限公司 | Method and device for evaluating value of article in real time, electronic equipment and storage medium |
| CN114595997B (en) * | 2022-03-21 | 2025-04-25 | 联想(北京)有限公司 | Data processing method, device and electronic equipment |
| CN119539434A (en) * | 2025-01-21 | 2025-02-28 | 万联易达物流科技有限公司 | Method, device and electronic equipment for determining transportation order of truck |
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