Resource evaluation method and device, electronic equipment and storage medium
By collecting and analyzing resource data and using pre-trained models to determine evaluation and prediction values, the problem of insufficient accuracy of resource evaluation in a dynamic market environment is solved, and higher evaluation accuracy is achieved.
Patent Information
- Application Number
- CN202510635841.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-16
- Publication Date
- 2025-09-23
AI Technical Summary
When evaluating the value of resources or resource projects, existing technologies cannot accurately reflect the uncertainties in a dynamically changing market environment, resulting in insufficient evaluation accuracy.
By displaying input controls, target resource data is collected, relevant evaluation data is obtained, the target evaluation direction is analyzed, feature extraction is performed, and the pre-trained resource evaluation model is used to determine the current and future evaluation values and display the evaluation level.
The accuracy of resource assessment values has been improved, and changes in the value of resource data can be accurately predicted in a dynamic market environment.
Smart Images
Figure CN120688725A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of computer technology, and in particular to a resource evaluation method, device, electronic device, and storage medium. Background Art
[0002] With the world's increasing attention to environmental protection and sustainable development, various resources or resource projects related to them have played an important role in promoting this. At present, in order to subsequently promote the rational allocation of resources and achieve environmental protection, linear models can usually be used based on historical data to evaluate the value generated by resources or resource projects. However, in actual work scenarios, the market environment associated with resources or resource projects is dynamically changing and there is uncertainty. The value generated by resources or resource projects is affected by many factors and does not show the characteristics of an ideal linear distribution, which will affect the accuracy of the value evaluation of resources or resource projects. Summary of the Invention
[0003] The present application aims to solve one of the technical problems in the related art at least to a certain extent.
[0004] To this end, the first purpose of this application is to propose a resource evaluation method to analyze the evaluation data and determine the evaluation direction of the value generated by the evaluation resource data, and then input the features extracted in the evaluation direction into the resource evaluation model, thereby greatly improving the accuracy of the obtained evaluation value.
[0005] The second objective of this application is to provide a resource assessment device.
[0006] The third objective of this application is to provide an electronic device.
[0007] The fourth object of this application is to provide a computer-readable storage medium.
[0008] A fifth object of this application is to provide a computer program product.
[0009] To achieve the above-mentioned purpose, the first aspect embodiment of the present application proposes a resource evaluation method, comprising: in response to a resource evaluation request initiated by a client, displaying a first input control for collecting target resource data of interest to the client; in the case where the first input control collects the target resource data, obtaining at least one evaluation data related to the target resource data; performing feature extraction on the target resource data according to the target evaluation direction obtained by analyzing the evaluation data to determine the target feature corresponding to the target resource data in the target evaluation direction; based on the target feature, using a pre-trained resource evaluation model to determine the target evaluation value corresponding to the target resource data at the current moment and the corresponding predicted evaluation value sequence within a preset time period in the future, and displaying the target evaluation value and the predicted evaluation value sequence; wherein the target evaluation value and each predicted evaluation value in the predicted evaluation value sequence are used to indicate the evaluation level of the benefit generated between the target resource data and the environment associated with the target resource data.
[0010] To achieve the above-mentioned purpose, the second aspect embodiment of the present application proposes a resource evaluation device, including: a display module, which is used to display a first input control for collecting target resource data of interest to the client in response to a resource evaluation request initiated by a client; an acquisition module, which is used to obtain at least one evaluation data related to the target resource data when the first input control collects the target resource data; a first determination module, which is used to extract features of the target resource data according to the target evaluation direction obtained by analyzing the evaluation data, so as to determine the target feature corresponding to the target resource data in the target evaluation direction; a second determination module, which is used to determine the target evaluation value corresponding to the target resource data at the current moment and the corresponding predicted evaluation value sequence within a preset time period in the future through a pre-trained resource evaluation model based on the target feature, and to display the target evaluation value and the predicted evaluation value sequence; wherein the target evaluation value and each predicted evaluation value in the predicted evaluation value sequence are used to indicate the evaluation level of the benefit generated between the target resource data and the environment associated with the target resource data.
[0011] To achieve the above-mentioned purpose, the third aspect embodiment of the present application proposes an electronic device, comprising: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to execute the instructions to implement the resource evaluation method as described in the above embodiment of the present disclosure.
[0012] To achieve the above-mentioned purpose, the fourth embodiment of the present application proposes a computer-readable storage medium. When the instructions in the computer-readable storage medium are executed by the processor of an electronic device, the electronic device can execute the resource evaluation method described in the above-mentioned embodiment of the present disclosure.
[0013] To achieve the above-mentioned objectives, the fifth embodiment of the present application proposes a computer program product, a computer program, which implements the resource evaluation method described in the above-mentioned embodiment of the present disclosure when executed by a processor.
[0014] The resource evaluation method, device, electronic device and storage medium provided in the present application respond to a resource evaluation request initiated by a client, and display a first input control for collecting target resource data of interest to the client; when the first input control collects the target resource data, obtain at least one evaluation data related to the target resource data; based on the target evaluation direction obtained by analyzing the evaluation data, feature extraction is performed on the target resource data to determine the target feature corresponding to the target resource data in the target evaluation direction; based on the target feature, a pre-trained resource evaluation model is used to determine the target evaluation value corresponding to the target resource data at the current moment and the corresponding predicted evaluation value sequence in a preset time period in the future, and the target evaluation value and the predicted evaluation value sequence are displayed; wherein, the target evaluation value and each predicted evaluation value in the predicted evaluation value sequence are used to indicate the evaluation level of the benefits generated between the target resource data and the environment associated with the target resource data, thereby accurately obtaining evaluation data related to the resource data in the trading market that the client is concerned about, analyzing the evaluation data to determine the evaluation direction of the value generated by the evaluation resource data, and then inputting the extracted features in the evaluation direction into the resource evaluation model, thereby greatly improving the accuracy of the obtained evaluation value.
[0015] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:
[0017] Figure 1 A schematic diagram of a resource evaluation method provided in this embodiment of the application Figure 1 ;
[0018] Figure 2 A schematic diagram of a resource evaluation method provided in this embodiment of the application Figure 2 ;
[0019] Figure 3 A schematic diagram of a resource evaluation method provided in this embodiment of the application Figure 3 ;
[0020] Figure 4 is a schematic structural diagram of a resource assessment device provided in an embodiment of the present application;
[0021] Figure 5 It is a structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0022] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.
[0023] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.) and signals involved in this application are all authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards.
[0024] It should be noted that the acquisition, transmission, storage, use, and processing of data in the technical solution of this application comply with the relevant provisions of relevant laws and regulations. In the embodiments of this application, certain software, components, models, and other existing solutions in the industry may be mentioned. They should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of this application, but it does not mean that the applicant has or will necessarily use the solution.
[0025] The resource evaluation method, device, electronic device, and storage medium of the embodiments of the present application are described below with reference to the accompanying drawings.
[0026] Figure 1 A schematic diagram of a resource evaluation method provided in this embodiment of the application Figure 1 .
[0027] To address this issue, the present invention provides a resource evaluation method, such as Figure 1 As shown, the resource assessment method includes the following steps:
[0028] Step 101: In response to a resource evaluation request initiated by a client, a first input control for collecting target resource data of interest to the client is displayed.
[0029] It should be noted that the resource assessment method provided in the embodiments of the present application can be performed by a resource assessment device (also referred to as a resource evaluator), wherein the resource assessment device can be implemented by software and / or hardware. The resource assessment device can be an electronic device or can be configured in an electronic device to implement the resource data assessment function. The embodiments of the present application are described using the resource assessment method configured in an electronic device as an example.
[0030] Among them, the electronic device can be any device with computing capabilities, such as a personal computer, mobile terminal, server, etc. The mobile terminal can be, for example, a vehicle-mounted device, a mobile phone, a tablet computer, a personal digital assistant, a wearable device, and other hardware devices with various operating systems, touch screens and / or display screens.
[0031] It is understandable that the target resource data may be determined according to the actual needs of the client, and this embodiment does not specifically limit this. For example, the target resource data may be transactions or matters related to the environment.
[0032] It should be understood that, in actual situations, even if they come from the same client, the target resource data that the client is concerned about may be diverse, and since the process of evaluating target resource data generally takes a long time, in order to save the client's time and enable the client to check the evaluation status of the target resource data at any time, a target resource data evaluation number can be generated for the target resource data and returned to the client.
[0033] It can be understood that for different target resource data, the target resource data evaluation numbers obtained are different, and there is a one-to-one correspondence between the target resource data and the target resource data evaluation numbers.
[0034] Step 102: When the first input control collects target resource data, obtain at least one evaluation data related to the target resource data.
[0035] It should be noted that the evaluation data is used to indicate the trading market that the client is concerned about, and data related to the target resource data, for example, market transaction data and environmental monitoring data related to the target resource data, etc., which are not specifically limited in this embodiment.
[0036] Step 103 : performing feature extraction on the target resource data according to the target evaluation direction obtained by analyzing the evaluation data, so as to determine the target features corresponding to the target resource data in the target evaluation direction.
[0037] It should be noted that the target evaluation direction is determined according to the actual situation of the evaluation data, and this embodiment does not make any specific limitation.
[0038] It should be noted that for different evaluation data, the target evaluation directions obtained through analysis are also different.
[0039] For example, analysis of the acquired assessment data reveals that carbon emissions are a very important factor affecting the benefits generated between target resource data and the environment associated with the target resource data. In this case, carbon emissions can be used as the target assessment direction.
[0040] Step 104, based on the target features, a pre-trained resource evaluation model is used to determine the target evaluation value corresponding to the target resource data at the current moment and the corresponding predicted evaluation value sequence within a preset time period in the future, and the target evaluation value and the predicted evaluation value sequence are displayed.
[0041] It should be noted that the target evaluation value and each predicted evaluation value in the predicted evaluation value sequence are used to indicate the benefits generated between the target resource data and the environment associated with the target resource data.
[0042] It should be noted that the specific value of the future preset time period is determined according to actual needs and is not specifically limited in this embodiment.
[0043] In order to enable the client to quickly obtain the target evaluation value and the predicted evaluation value sequence, as a possible implementation method, the target evaluation value and the predicted evaluation value sequence are associated with the target resource data evaluation number and stored in the evaluation result database.
[0044] It is understood that the evaluation result database is pre-set and can be used for target evaluation value and predicted evaluation value sequences and associated target resource data evaluation numbers.
[0045] It should be understood that since each evaluation value in the predicted evaluation value sequence is used to indicate the benefits generated between the target resource data and the environment associated with the target resource data, however, from the client's perspective, the predicted evaluation value sequence is not convenient for the client to intuitively understand the changes in the benefits generated between the target resource data and the environment associated with the target resource data within the future preset time period. Therefore, the predicted evaluation value sequence can be further processed to facilitate the client to clearly understand the changes in the benefits generated between the target resource data and the environment associated with the target resource data within the future preset time period.
[0046] For example, a prediction trend chart may be generated based on each prediction evaluation value in the prediction evaluation value sequence to predict changes in the benefits between the target resource data and the environment associated with the target resource data within a preset time period in the future.
[0047] The resource evaluation method provided by the present application displays a first input control for collecting target resource data of interest to the client in response to a resource evaluation request initiated by a client; when the first input control collects the target resource data, obtains at least one evaluation data related to the target resource data; based on the target evaluation direction obtained by analyzing the evaluation data, performs feature extraction on the target resource data to determine the target feature corresponding to the target resource data in the target evaluation direction; based on the target feature, uses a pre-trained resource evaluation model to determine the target evaluation value corresponding to the target resource data at the current moment and the corresponding predicted evaluation value sequence in a preset time period in the future, and displays the target evaluation value and the predicted evaluation value sequence; wherein the target evaluation value and each predicted evaluation value in the predicted evaluation value sequence are used to indicate the evaluation level of the benefit generated between the target resource data and the environment associated with the target resource data, thereby accurately obtaining the evaluation data related to the resource data in the trading market that the client is concerned about, analyzing the evaluation data to determine the evaluation direction of the value generated by the evaluated resource data, and then inputting the extracted features in the evaluation direction into the resource evaluation model, thereby greatly improving the accuracy of the obtained evaluation value.
[0048] In the embodiment of the present application, in order to clearly understand the process of obtaining at least one evaluation data related to the target resource data when the first input control collects the target resource data, the following is combined with Figure 2 A possible implementation manner of obtaining at least one evaluation data related to target resource data is exemplarily described. Figure 2 A resource evaluation method is provided for the embodiment of the present application. Figure 2 This embodiment further refines the resource assessment method.
[0049] like Figure 2 As shown, the resource assessment method may include the following steps:
[0050] Step 201: In response to a resource evaluation request initiated by a client, a first input control for collecting target resource data of interest to the client is displayed.
[0051] Step 202: Acquire the trading market that the client is interested in.
[0052] It is important to understand that, since market rules related to the environment are constantly changing in different trading markets, users usually do not just focus on one trading market in order to more clearly understand the impact of resource data on the environment. Instead, they can evaluate resource data through evaluation data obtained from multiple trading markets.
[0053] It should be noted that the specific information of the trading markets that the client is interested in and the number of trading markets are determined according to the actual needs of the client, and this embodiment does not impose any specific restrictions.
[0054] Step 203 : When the first input control collects the target resource data, at least one evaluation data related to the target resource data is determined according to the trading market.
[0055] It should be noted that the specific data of the evaluation data can be collected in the trading market through existing technical means, and will not be elaborated in this embodiment.
[0056] For example, the evaluation data includes market transaction data related to the target resource data. The market transaction data related to the target resource data is determined by calling an existing transaction system in the transaction market, thereby determining the evaluation data.
[0057] Step 204 , based on the target evaluation direction obtained by analyzing the evaluation data, feature extraction is performed on the target resource data to determine target features corresponding to the target resource data in the target evaluation direction.
[0058] Step 205, based on the target features, a pre-trained resource evaluation model is used to determine the target evaluation value corresponding to the target resource data at the current moment and the corresponding predicted evaluation value sequence in a preset time period in the future, and the target evaluation value and the predicted evaluation value sequence are displayed.
[0059] It should be noted that the execution process of step 201 and steps 204 to 205 can be implemented in any of the embodiments of the present application. The embodiments of the present application do not limit this and will not be repeated.
[0060] In this embodiment, the trading market that the client is interested in is obtained, and when the first input control collects the target resource data, at least one evaluation data related to the target resource data is determined according to the trading market. Thus, by paying attention to the trading market that meets the client's needs, the evaluation data that mainly affects the target resource data evaluation process is determined, so that the trading market can be flexibly selected, and the evaluation data that significantly affects the evaluated target evaluation value and the predicted evaluation value sequence can be screened out from the trading market, thereby not only understanding the changes in the target evaluation value and the predicted evaluation value sequence under different trading markets, but also improving the accuracy of the target evaluation value and the predicted evaluation value sequence.
[0061] In the embodiment of the present application, in order to clearly understand that after determining the target evaluation value corresponding to the target resource data at the current moment and the corresponding predicted evaluation value sequence in the future preset time period through the pre-trained resource evaluation model according to the target characteristics, the target evaluation value and the predicted evaluation value sequence are processed, the following is combined with Figure 3 A possible implementation of processing target evaluation values and predicting evaluation value sequences is described exemplarily. Figure 3 A resource evaluation method is provided for the embodiment of the present application. Figure 3 This embodiment further refines the resource assessment method.
[0062] like Figure 3 As shown, the resource assessment method may include the following steps:
[0063] Step 301: In response to a resource evaluation request initiated by a client, a first input control for collecting target resource data of interest to the client is displayed.
[0064] Step 302: When the first input control collects target resource data, obtain at least one evaluation data related to the target resource data.
[0065] Step 303 : performing feature extraction on the target resource data according to the target evaluation direction obtained by analyzing the evaluation data, so as to determine the target features corresponding to the target resource data in the target evaluation direction.
[0066] Step 304, based on the target features, a pre-trained resource evaluation model is used to determine the target evaluation value corresponding to the target resource data at the current moment and the corresponding predicted evaluation value sequence within a preset time period in the future, and the target evaluation value and the predicted evaluation value sequence are displayed.
[0067] It should be noted that the execution process of steps 301 to 304 can be implemented in any of the embodiments of the present application. The embodiments of the present application do not limit this and will not be described in detail.
[0068] Step 305: Determine a target evaluation level of the benefit generated between the target resource data and the environment associated with the target resource data based on the target evaluation value.
[0069] It should be understood that since what is obtained are the target evaluation values and each predicted evaluation value in the predicted evaluation value sequence, generally speaking, there are many situations in which the benefits of resource data to the associated environment exist. For example, if the resource data is beneficial to the associated environment, then the resource data can be divided into beneficial resource data or green resource data. Even in the beneficial situation, the effects of different resource data on the associated environment are different. Therefore, for relevant personnel, it is not easy to intuitively understand the benefits generated between resource data and the environment associated with the resource data only through the target evaluation value and predicted evaluation value sequence.
[0070] In order to intuitively understand the benefits generated between the target resource data and the environment associated with the target resource data, as a possible implementation method, a target evaluation level of the benefits generated between the target resource data and the environment associated with the target resource data is determined based on the target evaluation value.
[0071] As an example, a target evaluation value interval in which the target evaluation value is located is determined from a plurality of set candidate evaluation value intervals; and a target evaluation level of the target resource data is determined according to the evaluation level corresponding to the target evaluation value interval.
[0072] It should be noted that each candidate evaluation value interval has an evaluation level of the benefit generated between the corresponding resource data and the environment associated with the resource data.
[0073] For example, the comparison table of candidate evaluation value intervals and evaluation levels is shown in Table 1. Assuming that the target evaluation value is in candidate evaluation value interval A, candidate evaluation value interval A is used as the target evaluation value interval. According to the comparison table of candidate evaluation value intervals and evaluation levels, candidate evaluation value interval A where the target evaluation value is located is the first candidate score interval in the evaluation level comparison table, then the target evaluation level of the target resource data can be expressed as "excellent".
[0074] Table 1 Comparison table of candidate evaluation value intervals and evaluation levels
[0075]
[0076]
[0077] Step 306 : For each predicted evaluation value in the predicted evaluation value sequence, determine a predicted evaluation level of the benefit generated between the target resource data and the environment associated with the target resource data according to the predicted evaluation value.
[0078] In order to intuitively understand the benefits generated between the target resource data and the environment associated with the target resource data within a preset time period in the future, as a possible implementation method, the predicted evaluation level of the benefits generated between the target resource data and the environment associated with the target resource data at the corresponding future moment is determined based on each predicted evaluation value in the predicted evaluation value sequence.
[0079] As an example, for each predicted evaluation value in the predicted evaluation value sequence, the first evaluation value interval in which the predicted evaluation value is located is determined from a set plurality of candidate evaluation value intervals; based on the evaluation level corresponding to the first evaluation value interval, the predicted evaluation level of the benefits generated between the target resource data and the environment associated with the target resource data at the corresponding future moment is determined.
[0080] It should be noted that each candidate evaluation value interval has an evaluation level of the benefit generated between the corresponding resource data and the environment associated with the resource data.
[0081] In some embodiments, the evaluation result of the target resource data is determined based on the target evaluation value and the corresponding target evaluation value, the predicted evaluation value sequence and the predicted evaluation level corresponding to each predicted evaluation value in the predicted evaluation value sequence; in response to a request for retrieving the evaluation result initiated by the client, the evaluation result is returned to the client and displayed.
[0082] In this embodiment, the target evaluation level of the benefits generated between the target resource data and the environment associated with the target resource data is determined based on the target evaluation value. For each predicted evaluation value in the predicted evaluation value sequence, the predicted evaluation level of the benefits generated between the target resource data and the environment associated with the target resource data is determined based on the predicted evaluation value. Thus, through the preset candidate evaluation value interval, based on the obtained target evaluation value, the target evaluation level of the benefits generated between the target resource data and the environment associated with the target resource data at the current moment can be quickly determined. And based on the obtained predicted evaluation value sequence, the predicted evaluation level of the benefits generated between the target resource data and the environment associated with the target resource data at the future moment can also be predicted, so that the effect of the target resource data on the environment can be intuitively determined, providing high-quality data support for whether to implement or protect the target resource data in the future.
[0083] In order to implement the above embodiment, the present application also proposes a resource evaluation device.
[0084] Figure 4 A schematic diagram of the structure of a resource evaluation device provided in an embodiment of the present application.
[0085] like Figure 4 As shown, the resource evaluation device 400 includes: a display module 401 , an acquisition module 402 , a first determination module 403 and a second determination module 404 .
[0086] Display module 401, for displaying a first input control for collecting target resource data of interest to the client in response to a resource evaluation request initiated by the client;
[0087] An acquisition module 402 is configured to acquire at least one evaluation data related to the target resource data when the first input control acquires the target resource data;
[0088] The first determination module 403 is configured to extract features from the target resource data based on the target evaluation direction obtained by analyzing the evaluation data, so as to determine target features corresponding to the target resource data in the target evaluation direction;
[0089] The second determination module 404 is used to determine the target evaluation value corresponding to the target resource data at the current moment and the corresponding predicted evaluation value sequence in a preset time period in the future based on the target characteristics through a pre-trained resource evaluation model, and to display the target evaluation value and the predicted evaluation value sequence; wherein the target evaluation value and each predicted evaluation value in the predicted evaluation value sequence are used to indicate the evaluation level of the benefits generated between the target resource data and the environment associated with the target resource data.
[0090] In one embodiment of the present application, the acquisition module 402 is specifically used to: acquire the trading market that the client is interested in; when the first input control collects target resource data, determine at least one evaluation data related to the target resource data according to the trading market.
[0091] In one embodiment of the present application, the device further includes an evaluation level module, specifically configured to:
[0092] Based on the target evaluation value, determine the target evaluation level of the benefits generated between the target resource data and the environment associated with the target resource data; for each predicted evaluation value in the predicted evaluation value sequence, determine the predicted evaluation level of the benefits generated between the target resource data and the environment associated with the target resource data based on the predicted evaluation value.
[0093] In one embodiment of the present application, the evaluation grade module is further specifically configured to:
[0094] Determining a target evaluation value interval in which a target evaluation value lies from a plurality of set candidate evaluation value intervals; wherein each candidate evaluation value interval has an evaluation level of benefits generated between corresponding resource data and an environment associated with the resource data;
[0095] The target evaluation level of the target resource data is determined based on the evaluation level corresponding to the target evaluation value range.
[0096] In one embodiment of the present application, the evaluation grade module is further specifically configured to:
[0097] For each predicted evaluation value in the predicted evaluation value sequence, determining a first evaluation value interval in which the predicted evaluation value is located from a plurality of set candidate evaluation value intervals; wherein each candidate evaluation value interval has an evaluation level of benefits generated between corresponding resource data and an environment associated with the resource data;
[0098] According to the evaluation level corresponding to the first evaluation value interval, a predicted evaluation level of the benefit generated between the target resource data and the environment associated with the target resource data at a corresponding future moment is determined.
[0099] In one embodiment of the present application, the device further includes a display module, specifically configured to:
[0100] Determine the evaluation result of the target resource data according to the target evaluation value and the corresponding target evaluation value, the predicted evaluation value sequence and the predicted evaluation level corresponding to each predicted evaluation value in the predicted evaluation value sequence;
[0101] In response to a request for evaluation results initiated by the client, the evaluation results are returned to the client and displayed.
[0102] It should be noted that the above explanations of the resource evaluation method embodiment are also applicable to the resource evaluation device of this embodiment and will not be repeated here.
[0103] The resource evaluation device provided by the present application displays a first input control for collecting target resource data of interest to the client in response to a resource evaluation request initiated by a client; when the first input control collects the target resource data, obtains at least one evaluation data related to the target resource data; based on the target evaluation direction obtained by analyzing the evaluation data, performs feature extraction on the target resource data to determine the target feature corresponding to the target resource data in the target evaluation direction; based on the target feature, uses a pre-trained resource evaluation model to determine the target evaluation value corresponding to the target resource data at the current moment and the corresponding predicted evaluation value sequence in a preset time period in the future, and displays the target evaluation value and the predicted evaluation value sequence; wherein the target evaluation value and each predicted evaluation value in the predicted evaluation value sequence are used to indicate the evaluation level of the benefit generated between the target resource data and the environment associated with the target resource data, thereby accurately obtaining the evaluation data related to the resource data in the trading market that the client is concerned about, analyzing the evaluation data to determine the evaluation direction of the value generated by the evaluated resource data, and then inputting the extracted features in the evaluation direction into the resource evaluation model, thereby greatly improving the accuracy of the obtained evaluation value.
[0104] In an exemplary embodiment, an electronic device is also provided.
[0105] Among them, electronic equipment includes:
[0106] processor;
[0107] a memory for storing processor-executable instructions;
[0108] The processor is configured to execute instructions to implement the resource evaluation method proposed in any of the aforementioned embodiments.
[0109] As an example, Figure 5 is a structural diagram of an electronic device 500 shown in an exemplary embodiment of the present disclosure, such as Figure 5 As shown, the electronic device 500 may further include:
[0110] The memory 510 and the processor 520 , and the bus 530 connecting different components (including the memory 510 and the processor 520 ), the memory 510 stores a computer program, and when the processor 520 executes the program, the resource evaluation method described in the embodiment of the present disclosure is implemented.
[0111] Bus 530 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. Examples of these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.
[0112] The electronic device 500 typically includes a variety of electronic device-readable media, which can be any available media that can be accessed by the electronic device 500, including volatile and non-volatile media, removable and non-removable media.
[0113] The memory 510 may also include computer system readable media in the form of volatile memory, such as random access memory (RAM) 540 and / or cache memory 550. The server may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 560 may be used to read and write non-removable, non-volatile magnetic media ( Figure 5 Not shown, often called a "hard drive packager"). Although Figure 5 Not shown, a disk drive package for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive package for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive package can be connected to the bus 530 via one or more data medium interfaces. The memory 510 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present disclosure.
[0114] A program / utility 580 having a set (at least one) of program modules 570 may be stored, for example, in memory 510. Such program modules 570 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may include an implementation of a network environment. Program modules 570 generally implement the functions and / or methods of the embodiments described herein.
[0115] The electronic device 500 can also communicate with one or more external devices 560 (e.g., a keyboard, a pointing device, a display 591, etc.), one or more devices that enable a user to interact with the electronic device 500, and / or any device that enables the electronic device 500 to communicate with one or more other computing devices (e.g., a network card, a modem, etc.). Such communication can occur via an input / output (I / O) interface 592. Furthermore, the electronic device 500 can communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network such as the Internet) via a network adapter 593. As shown, the network adapter 593 communicates with other modules of the electronic device 500 via a bus 530. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device 500, including but not limited to: microcode, device driver packages, redundant processing units, external disk drive packages, RAID systems, tape drive packages, and data backup storage systems.
[0116] The processor 520 executes various functional applications and data processing by running programs stored in the memory 510 .
[0117] It should be noted that the implementation process and technical principles of the electronic device of this embodiment can be found in the aforementioned explanation of the resource evaluation method of the embodiment of the present disclosure, and will not be repeated here.
[0118] In an exemplary embodiment, a computer-readable storage medium including instructions is also provided, such as a memory including instructions. The instructions can be executed by a processor of an electronic device to perform the resource evaluation method proposed in any of the above embodiments. Alternatively, the computer-readable storage medium can be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
[0119] In an exemplary embodiment, a computer program product is further provided, including a computer program / instruction, wherein the computer program / instruction, when executed by a processor, implements the resource evaluation method proposed in any of the above embodiments.
[0120] The collection, storage, access, processing, transmission, provision and disclosure of user personal information involved in this application are in compliance with relevant laws and regulations and do not violate public order and good morals.
[0121] It is important to note that personal information collected from users should be used for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate access rights. Furthermore, such collection / sharing should be conducted only after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign an agreement / authorization that includes the relevant user information before accessing the feature. Furthermore, any necessary steps must be taken to safeguard and secure access to such personal data and ensure that others with access to personal data comply with its privacy policy and procedures.
[0122] This application contemplates providing implementations that allow users to selectively block access to or prevent access to personal information data. Specifically, this disclosure contemplates providing hardware and / or software to prevent or prevent access to such personal information data. Risks can be minimized by limiting data collection and deleting data once it is no longer needed. Furthermore, where applicable, such personal information can be de-identified to protect user privacy.
[0123] In the descriptions of the foregoing embodiments, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are mutually inconsistent.
[0124] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of such features. Throughout the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.
[0125] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application belong.
[0126] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.
[0127] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or accessed as an independent product, it may also be stored in a computer-readable storage medium.
[0128] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.
Claims
1. A resource assessment method, characterized in that: The following steps are involved: In response to a resource evaluation request initiated by a client, displaying a first input control for collecting target resource data of interest to the client; In the case where the first input control collects the target resource data, obtaining at least one evaluation data related to the target resource data; Performing feature extraction on the target resource data according to the target evaluation direction obtained by analyzing the evaluation data to determine the target feature corresponding to the target resource data in the target evaluation direction; According to the target characteristics, a pre-trained resource evaluation model is used to determine the target evaluation value corresponding to the target resource data at the current moment and the corresponding predicted evaluation value sequence within a preset time period in the future, and the target evaluation value and the predicted evaluation value sequence are displayed; wherein the target evaluation value and each predicted evaluation value in the predicted evaluation value sequence are used to indicate the benefits generated between the target resource data and the environment associated with the target resource data.
2. The method according to claim 1, characterized in that The step of acquiring at least one evaluation data related to the target resource data when the first input control collects the target resource data includes: Obtaining the trading market that the client is interested in; In the case where the first input control collects the target resource data, at least one evaluation data related to the target resource data is determined according to the trading market.
3. The method according to claim 1, characterized in that After determining, based on the target features, a target evaluation value corresponding to the target resource data at the current moment and a corresponding sequence of predicted evaluation values within a preset future time period through a pre-trained resource evaluation model, and displaying the target evaluation value and each predicted evaluation value in the predicted evaluation value sequence is used to indicate the benefit generated between the target resource data and the environment associated with the target resource data, the method further includes: determining a target evaluation level of benefits generated between the target resource data and an environment associated with the target resource data based on the target evaluation value; For each of the predicted evaluation values in the predicted evaluation value sequence, a predicted evaluation level of the benefit generated between the target resource data and the environment associated with the target resource data is determined according to the predicted evaluation value.
4. The method according to claim 3, characterized in that Determining, based on the target evaluation value, a target evaluation level of the benefit generated between the target resource data and the environment associated with the target resource data includes: Determining a target evaluation value interval in which the target evaluation value lies from a plurality of set candidate evaluation value intervals; wherein each of the candidate evaluation value intervals has an evaluation level of benefits generated between corresponding resource data and an environment associated with the resource data; The target evaluation level of the target resource data is determined according to the evaluation level corresponding to the target evaluation value interval.
5. The method according to claim 3, characterized in that The step of determining, for each of the predicted evaluation values in the predicted evaluation value sequence, a predicted evaluation level of the benefit generated between the target resource data and the environment associated with the target resource data according to the predicted evaluation value, includes: For each of the predicted evaluation values in the predicted evaluation value sequence, determining a first evaluation value interval in which the predicted evaluation value lies from a plurality of set candidate evaluation value intervals; wherein each of the candidate evaluation value intervals has an evaluation level of benefits generated between the corresponding resource data and an environment associated with the resource data; The predicted evaluation level of the benefit generated between the target resource data and the environment associated with the target resource data at a corresponding future moment is determined according to the evaluation level corresponding to the first evaluation value interval.
6. The method according to any one of claims 3 to 5, characterized in that: The method comprises: Determining an evaluation result of the target resource data according to the target evaluation value and the corresponding target evaluation value, the predicted evaluation value sequence and the predicted evaluation level corresponding to each predicted evaluation value in the predicted evaluation value sequence; In response to the request for obtaining the evaluation result initiated by the client, the evaluation result is returned to the client and displayed.
7. A resource evaluation device, characterized in that: include: A display module, configured to display a first input control for collecting target resource data of interest to the client in response to a resource evaluation request initiated by the client; an acquisition module, configured to acquire at least one evaluation data related to the target resource data when the first input control acquires the target resource data; A first determination module is configured to perform feature extraction on the target resource data based on the target evaluation direction obtained by analyzing the evaluation data, so as to determine a target feature corresponding to the target resource data in the target evaluation direction; The second determination module is used to determine the target evaluation value corresponding to the target resource data at the current moment and the corresponding predicted evaluation value sequence in a preset time period in the future based on the target characteristics through a pre-trained resource evaluation model, and to display the target evaluation value and the predicted evaluation value sequence; wherein the target evaluation value and each predicted evaluation value in the predicted evaluation value sequence are used to indicate the evaluation level of the benefits generated between the target resource data and the environment associated with the target resource data.
8. An electronic device, characterized in that: include: a processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 6.
9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 6 when executed by a processor.
10. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 6 when the computer program is executed by a processor.