CN114020799A - Data acquisition method, data search method, data acquisition system, data search system, electronic device and storage medium - Google Patents
Data acquisition method, data search method, data acquisition system, data search system, electronic device and storage medium Download PDFInfo
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- CN114020799A CN114020799A CN202111290489.7A CN202111290489A CN114020799A CN 114020799 A CN114020799 A CN 114020799A CN 202111290489 A CN202111290489 A CN 202111290489A CN 114020799 A CN114020799 A CN 114020799A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
Abstract
The application relates to a data acquisition method, a data search method, a data acquisition system, an electronic device and a storage medium, which are applied to the technical field of search, wherein the method comprises the following steps: acquiring preset multiple dimension information aiming at a single application; acquiring application data respectively corresponding to the plurality of dimension information from the application; establishing a data model corresponding to the single dimension information according to the application data corresponding to the single dimension information; and generating a target data model corresponding to the application according to the data models respectively corresponding to the plurality of dimensional information. The method and the device can improve the dimensionality and diversity of data acquisition in the application, and further improve the data volume of the search result.
Description
Technical Field
The present application relates to the field of search technologies, and in particular, to a method and system for data acquisition and data search, an electronic device, and a storage medium.
Background
Currently, many applications provide search services for users. After the user enters the search information in the search box, the search system within the application may return the corresponding search results for the user. However, the data volume of the search result obtained by the method is small, so that the search result returned to the user is empty or the data volume is insufficient, and the user experience is poor.
Disclosure of Invention
In order to solve the technical problems or at least partially solve the technical problems, the application provides a data acquisition method, a data search method, a data acquisition system, a data search system, an electronic device and a storage medium.
According to a first aspect of the present application, there is provided a data acquisition method, comprising:
acquiring preset multiple dimension information aiming at a single application;
acquiring application data respectively corresponding to the plurality of dimension information from the application;
establishing a data model corresponding to the single dimension information according to the application data corresponding to the single dimension information;
and generating a target data model corresponding to the application according to the data models respectively corresponding to the plurality of dimensional information.
Optionally, the acquiring, from the application, application data corresponding to the plurality of pieces of dimension information respectively includes:
acquiring application data corresponding to the dimension information from the application based on a data acquisition mode corresponding to the single dimension information;
wherein, the data acquisition mode includes: context collection and list collection.
Optionally, the establishing, according to the application data corresponding to the single dimension information, a data model corresponding to the single dimension information includes:
according to the filtering condition corresponding to the single dimension information, filtering the application data corresponding to the single dimension information to obtain filtering data;
and establishing a data model corresponding to the single dimension information according to the filtering data.
According to a second aspect of the present application, there is provided a data search method including:
receiving search information input by a user;
and obtaining search results matched with the search information from target data models respectively corresponding to one or more applications, wherein the target data model corresponding to a single application is generated based on the method of the first aspect.
Optionally, the obtaining of the search result matched with the search information from the target data model respectively corresponding to one or more applications includes:
determining the search information and other information associated with the search information as target information;
and obtaining search results matched with the target information from target data models respectively corresponding to one or more applications.
Optionally, the method further includes:
acquiring terminal equipment information of the user and/or user portrait information of the user;
the obtaining of the search result matched with the search information from one or more target data models comprises:
and acquiring a search result matched with the terminal equipment information and/or the user portrait information and the search information from one or more target data models.
According to a third aspect of the present application, there is provided a data acquisition system comprising:
the dimension information acquisition module is used for acquiring a plurality of preset dimension information aiming at a single application;
the data acquisition module is used for acquiring application data respectively corresponding to the plurality of dimension information from the application;
the single dimension data model establishing module is used for establishing a data model corresponding to the single dimension information according to the application data corresponding to the single dimension information;
and the target data model establishing module is used for generating a target data model corresponding to the application according to the data models respectively corresponding to the plurality of dimensional information.
Optionally, the data acquisition module is specifically configured to acquire application data corresponding to the dimension information from the application based on a data acquisition manner corresponding to a single piece of the dimension information;
wherein, the data acquisition mode includes: context collection and list collection.
Optionally, the single dimension data model building module is specifically configured to filter, according to a filtering condition corresponding to a single piece of dimension information, application data corresponding to the single piece of dimension information to obtain filtered data; and establishing a data model corresponding to the single dimension information according to the filtering data.
According to a fourth aspect of the present application, there is provided a data search system comprising:
the search information receiving module is used for receiving search information input by a user;
a search result obtaining module, configured to obtain search results matching the search information from target data models respectively corresponding to one or more applications, where a target data model corresponding to a single application is generated based on the method of the first aspect.
Optionally, the search result obtaining module is specifically configured to determine the search information and other information associated with the search information as target information; and obtaining search results matched with the target information from target data models respectively corresponding to one or more applications.
Optionally, the data search system further includes:
the information acquisition module is used for acquiring the terminal equipment information of the user and/or the user portrait information of the user;
the search result acquisition module is specifically configured to acquire a search result matched with the terminal device information and/or the user portrait information and the search information from one or more target data models.
According to a fifth aspect of the present application, there is provided an electronic device comprising: a processor for executing a computer program stored in a memory, the computer program, when executed by the processor, implementing the method of the first or second aspect.
According to a sixth aspect of the present application, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of the first or second aspect.
According to a fifth aspect of the present application, there is provided a computer program product which, when run on a computer, causes the computer to perform the method of the first aspect.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages:
a data model of multiple dimensions within an application is constructed by collecting data within the application from the multiple dimensions. The target data model is built according to the data models with multiple dimensions, the purpose of data diversification is achieved, and the problems that the data acquisition dimension is single and the diversified requirements of users cannot be met are solved. Furthermore, after receiving the search information input by the user, the search results of multiple dimensions matched with the search information can be obtained from the target data model, so that the complex requirements of the user are met, and the diversity of the search results is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 shows a schematic diagram of a system architecture of an exemplary application environment to which the data collection method of the embodiments of the present application may be applied;
FIG. 2 is a flow chart of a data collection method in an embodiment of the present application;
FIG. 3 is a schematic diagram of modeling target data according to an embodiment of the present application;
FIG. 4 is a flow chart of a data searching method in an embodiment of the present application;
FIG. 5 is a flowchart illustrating a data searching method according to an embodiment of the present application;
FIG. 6A is a schematic diagram of a data acquisition system according to an embodiment of the present disclosure;
FIG. 6B is a schematic diagram of a data search system according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device in an embodiment of the present application.
Detailed Description
In order that the above-mentioned objects, features and advantages of the present application may be more clearly understood, the solution of the present application will be further described below. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways than those described herein; it is to be understood that the embodiments described in this specification are only some embodiments of the present application and not all embodiments.
Fig. 1 shows a schematic diagram of a system architecture of an exemplary application environment to which the data acquisition method of the embodiments of the present application can be applied.
As shown in fig. 1, the system architecture 100 may include one or more of a server 101 corresponding to a first application, a server 102 corresponding to a second application, a server 103 corresponding to a third application, a network 104, and a server 105 corresponding to a target application. Network 104 is the medium used to provide communication links between server 101, server 102, server 103, and server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
It should be understood that the number of networks and servers in fig. 1 is merely illustrative. There may be any number of networks and servers, as desired for implementation. For example, server 105 may be a server cluster comprised of multiple servers, or the like.
The data acquisition method provided by the embodiment of the application is generally executed by a server corresponding to a single application, and accordingly, the data acquisition system can be arranged in the server corresponding to the single application. For example, the server 105 corresponding to the target application may obtain a plurality of preset dimension information; acquiring application data respectively corresponding to the plurality of dimensional information from the target application; establishing a data model corresponding to the single dimension information according to the application data corresponding to the single dimension information; and generating a target data model corresponding to the application according to the data models respectively corresponding to the plurality of dimensional information. Similarly, the servers corresponding to the first application, the second application, and the third application may generate corresponding target data models. By establishing the target data model, the aim of data diversification can be fulfilled, and the diversified requirements of users are met.
First, the data acquisition method according to the embodiment of the present application will be described in detail below.
Referring to fig. 2, fig. 2 is a flowchart of a data acquisition method in an embodiment of the present application, which may include the following steps:
step S210, for a single application, multiple pieces of preset dimension information are acquired.
In the embodiment of the application, each application has different functions, and the corresponding dimension information may be the same or different. The dimension information may be information obtained by a maintainer of the application after performing overall analysis on the search requirement of a user using the application, and may be preset manually. For example, the plurality of dimensional information may include: hot information, personalized information, keyword information, and the like.
Step S220, collecting application data corresponding to the plurality of pieces of dimension information from the application.
The data acquisition in the application refers to a process of utilizing an internet search engine technology to realize targeted, industrial and accurate data capture, and classifying the data according to certain rules and screening standards to form database files. The captured data can be used as the input of a search system, and can provide bottom data for the search system to work normally.
In the embodiment of the application, data acquisition can be performed according to the dimension information. For example, trending data may be collected from the dimension of trending information, personalized data may be collected from the dimension of personalized information, and accurate search content may be collected from the dimension of keyword information.
Optionally, the application data corresponding to the dimension information may be acquired from the application based on a data acquisition manner corresponding to the single dimension information. That is, data for multiple dimensions within an application may be collected through different data collection approaches. Wherein, the data acquisition mode includes: context collection and list collection, etc.
For example, hot data may exist in an application, and the hot data may be different in different applications, for example, top page data of a news application, hot video of a video application top page, and the like are all the hot data in the application. The hot data can be collected in a list collection manner. Most of the popular data structures are the same, the list collection mode is a collection mode aiming at the structured data, the structured data of the popular content is collected, and the context data of the collected data can be intelligently judged in the collection process, so that the construction of a corresponding data model is facilitated.
The personalized data in the application is mainly personalized data aiming at various behavior information of different users, and the behavior information of the users includes but is not limited to browsing data, clicking data and the like of the users. The personalized data structure is uniform, and the data acquisition can also be carried out in a list acquisition mode. The collection of the personalized data can provide data support for accurate recommendation of the user, so that the user experience is improved, and data support can be provided for construction of a corresponding data model.
It is understood that the preferences of different users may be different, and the content personalized and recommended in the application may also be different for different users. For example, the shopping application recommends cell phone digital data for the recently viewed footprint of user a, and recommends season-ready clothing data for user B, etc.
The accurate search content refers to a result which is screened by a search entry in the application by using a certain condition or is presented in the application according to context and keywords. Specific context or keywords can be predetermined, data acquisition is performed according to the context or keywords, and the keywords can be head keywords of the application and the like. The accurate search content in each application can be data related to keywords in the application, and the higher the relevance of the data related to the keywords is, the higher the accuracy is when constructing the corresponding data model.
Step S230, building a data model corresponding to the single dimension information according to the application data corresponding to the single dimension information.
After multi-dimensional data acquisition is performed in the application, a data model can be constructed for the acquired data in each dimension, and the data model can be a set of the acquired data or a set of the acquired data after the acquired data is processed. Optionally, the application data corresponding to the single dimension information may be filtered according to the filtering condition corresponding to the single dimension information to obtain filtered data, and a data model corresponding to the single dimension information is established according to the filtered data. That is, the collected data is filtered (e.g., de-duplicated, filtered, cleaned, etc.), and the data model is built after filtering. By removing repeated data and data with poor quality, the data volume can be reduced, the quality of the collected data is improved, and the quality of the data model is further improved.
In the embodiment of the application, the data collected from different dimensions can correspond to different filtering modes. For example, deduplication processing may be performed for accurate search content, filtering processing may be performed for popular content, and the like. When the accurate search content is subjected to duplicate removal processing, relevance judgment can be performed on the collected data, and if the title of the collected data does not contain the searched keyword, the data quality is considered to be poor, and the data can be removed.
Step S240, generating a target data model corresponding to the application according to the data models corresponding to the plurality of pieces of dimensional information.
After the data models of the dimensions are established, the data models of the dimensions can be integrated to construct a complete data model in the application, namely a target data model, so that the purpose of effectively using the data in the application is achieved.
Referring to fig. 3, fig. 3 is a schematic diagram of establishing a target data model in the embodiment of the present application, and it can be seen that data in an application is collected from three dimensions (hit data, personalized data, and search data) respectively to obtain a hit data model, a personalized data model, and a search data model, and a target data model is generated according to the three data models. The target data model comprises application data of multiple dimensions, and the complex requirements of users can be met.
The data of a plurality of dimensions in this application are gathered through the collection mode of difference, construct the data model of a plurality of dimensions in the application, reach data diversification's purpose, have solved that the data acquisition dimension is single, can't satisfy the problem of user's pluralism demand. Furthermore, after receiving the search information input by the user, the search results of multiple dimensions matched with the search information can be obtained from the target data model, and the diversity of the search results is improved.
Referring to fig. 4, fig. 4 is a flowchart of a data searching method in an embodiment of the present application, which may include the following steps:
step S410, receiving search information input by a user.
An application supporting a search service may provide a search box for a user, and the user may enter search information in the search box to obtain content that the user wants to search. The search information may be one or more keywords, a short sentence, or the like.
Step S420, obtaining a search result matched with the search information from the target data models respectively corresponding to one or more applications, where the target data model corresponding to a single application is generated based on the data acquisition method.
The data resources in the application are complex and diversified, and the data with different dimensionality and different purposes can meet the normal use of the functions of the application. For example, hot data, personalized data, and the like exist in the application, and the hot data and the personalized data are data with two different dimensions and different purposes. Therefore, for each application, a target data model corresponding to the application can be constructed according to the data resources in the application, and the target data model comprises data of a plurality of different dimensions in the application.
Therefore, in the target data model corresponding to each application, the search results matched with the search information can be obtained from multiple dimensions, so that the variable data requirements of the user can be met, and the user experience is improved. And obtaining the search results matched with the search information from the target data models respectively corresponding to the plurality of applications, namely obtaining the search results across the applications, so that the diversity of the search results can be further improved.
Optionally, the search information and other information associated with the search information are determined as target information, and search results matching the target information are obtained from target data models respectively corresponding to one or more applications.
According to the data searching method, after the searching information input by the user is received, the searching result matched with the searching information can be obtained from the target data model respectively corresponding to one or more applications. Each application corresponds to a target data model, and the method and the device can acquire search results across the applications, so that more search results are provided for users. In addition, the data model corresponding to each application is data of multiple dimensions in the application, so that more search results can be matched for the user from multiple dimensions, and the diversity of the search results can be improved.
Referring to fig. 5, fig. 5 is a flowchart of a data searching method in an embodiment of the present application, which may include the following steps:
step S510, receiving search information input by a user.
Step S520, acquiring the terminal device information of the user and/or the user portrait information of the user.
With the diversification development of devices, applications can be gradually used on multiple devices, and the presentation forms of data information of the same application in different devices and different scenes can be different. If the data does not match the device, the use of the data may be problematic. For example, after data collection applied to a smart phone is displayed on smart glasses, the data collection may not provide a user with a good experience, and may affect the normal life of the user. Therefore, the terminal equipment information of the user can be acquired so as to meet the diversified requirements of different equipment of the user.
Optionally, user behavior data of the user may be obtained from the application, and user portrait information of the user may be determined according to the user behavior data. The user portrait information is personalized information of each user in the application, and the personalized information of the user is acquired, so that the personalized optimization processing of the subsequent user can be helped. Specifically, the application can portray each user according to user behavior information such as user registration information, browsing footprints, interested contents and the like, and determine user portrayal information such as gender, age, personal preference and the like of the user, so that the purpose of individualizing the user can be achieved.
Step S530, obtaining a search result matching the terminal device information and/or the user portrait information, and the search information from the one or more target data models. The target data model corresponding to the single application comprises application data which are collected from the single application and contain a plurality of dimensions.
When a search result matching the search information is obtained from one or more target data models, the terminal device information and/or the user profile information may be further referred to so that the finally obtained search result also matches the terminal device information and/or the user profile information.
According to the searching method, the data of different dimensions in the application are collected, the problems of single data dimension and insufficient data quantity can be solved, and the diversity of the searching results is met. By acquiring the terminal equipment information and/or the user portrait information, the final search result can better meet the requirements of the user, and the accuracy of the search result is improved.
Corresponding to the above method embodiment, an embodiment of the present application further provides a data acquisition system, and referring to fig. 6A, the data acquisition system includes:
a dimension information obtaining module 602, configured to obtain multiple preset dimension information for a single application;
a data acquisition module 604, configured to acquire application data corresponding to the plurality of pieces of dimension information from the application;
a single dimension data model establishing module 606, configured to establish a data model corresponding to the single dimension information according to the application data corresponding to the single dimension information;
the target data model establishing module 608 is configured to generate a target data model corresponding to an application according to the data models respectively corresponding to the multiple pieces of dimension information.
Optionally, the data acquisition module 604 is specifically configured to acquire application data corresponding to the dimension information from the application based on a data acquisition manner corresponding to the single dimension information;
wherein, the data acquisition mode includes: context collection and list collection.
Optionally, the single-dimension data model establishing module 606 is specifically configured to perform filtering processing on the application data corresponding to the single-dimension information according to the filtering condition corresponding to the single-dimension information, so as to obtain filtered data; and establishing a data model corresponding to the single dimension information according to the filtering data.
An embodiment of the present application further provides a data search system, and referring to fig. 6B, the data search system includes:
a search information receiving module 610 for receiving search information input by a user;
and a search result obtaining module 620, configured to obtain search results matching the search information from target data models respectively corresponding to one or more applications, where the target data model corresponding to a single application is generated based on the data acquisition method.
Optionally, the search result obtaining module 620 is specifically configured to determine the search information and other information associated with the search information as target information; and obtaining search results matched with the target information from the target data models respectively corresponding to the one or more applications.
Optionally, the data search system further includes:
the information acquisition module is used for acquiring terminal equipment information of a user and/or user portrait information of the user;
and a search result obtaining module 620, configured to obtain, from the one or more target data models, a search result matching the terminal device information and/or the user portrait information and the search information.
The details of each module or unit in the system are already described in detail in the corresponding method, and therefore are not described herein again.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
In an exemplary embodiment of the present application, there is also provided an electronic device including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute the data acquisition method or the data search method described above in the present exemplary embodiment.
Fig. 7 is a schematic structural diagram of an electronic device in an embodiment of the present application. It should be noted that the electronic device 700 shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 7, the electronic apparatus 700 includes a Central Processing Unit (CPU)701, which can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data necessary for system operation are also stored. The central processing unit 701, the ROM 702, and the RAM 703 are connected to each other by a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
The following components are connected to the I/O interface 705: an input portion 706 including a keyboard, a mouse, and the like; an output section 707 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 708 including a hard disk and the like; and a communication section 709 including a network interface card such as a Local Area Network (LAN) card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. A drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read out therefrom is mounted into the storage section 708 as necessary.
In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 709, and/or installed from the removable medium 711. The computer program, when executed by the central processing unit 701, performs various functions defined in the system of the present application.
In an embodiment of the present application, a computer-readable storage medium is further provided, on which a computer program is stored, and the computer program, when executed by a processor, implements the data acquisition method or the data search method described above.
It should be noted that the computer readable storage medium shown in the present application can be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, radio frequency, etc., or any suitable combination of the foregoing.
In an embodiment of the present application, a computer program product is further provided, which when running on a computer, causes the computer to execute the data acquisition method or the data search method.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of data acquisition, the method comprising:
acquiring preset multiple dimension information aiming at a single application;
acquiring application data respectively corresponding to the plurality of dimension information from the application;
establishing a data model corresponding to the single dimension information according to the application data corresponding to the single dimension information;
and generating a target data model corresponding to the application according to the data models respectively corresponding to the plurality of dimensional information.
2. The method according to claim 1, wherein the collecting application data corresponding to the dimension information from the application comprises:
acquiring application data corresponding to the dimension information from the application based on a data acquisition mode corresponding to the single dimension information;
wherein, the data acquisition mode includes: context collection and list collection.
3. The method according to claim 1, wherein the building a data model corresponding to a single dimension information according to the application data corresponding to the single dimension information comprises:
according to the filtering condition corresponding to the single dimension information, filtering the application data corresponding to the single dimension information to obtain filtering data;
and establishing a data model corresponding to the single dimension information according to the filtering data.
4. A method of searching data, the method comprising:
receiving search information input by a user;
and obtaining search results matched with the search information from target data models respectively corresponding to one or more applications, wherein the target data models corresponding to the single application are generated based on the method of any one of claims 1 to 3.
5. The method according to claim 4, wherein the obtaining of the search result matching the search information from the target data model respectively corresponding to one or more applications comprises:
determining the search information and other information associated with the search information as target information;
and obtaining search results matched with the target information from target data models respectively corresponding to one or more applications.
6. The method of claim 4, further comprising:
acquiring terminal equipment information of the user and/or user portrait information of the user;
the obtaining of the search result matched with the search information from one or more target data models comprises:
and acquiring a search result matched with the terminal equipment information and/or the user portrait information and the search information from one or more target data models.
7. A data acquisition system, characterized in that the system comprises:
the dimension information acquisition module is used for acquiring a plurality of preset dimension information aiming at a single application;
the data acquisition module is used for acquiring application data respectively corresponding to the plurality of dimension information from the application;
the single dimension data model establishing module is used for establishing a data model corresponding to the single dimension information according to the application data corresponding to the single dimension information;
and the target data model establishing module is used for generating a target data model corresponding to the application according to the data models respectively corresponding to the plurality of dimensional information.
8. A data search system, the system comprising:
the search information receiving module is used for receiving search information input by a user;
a search result obtaining module, configured to obtain search results matching the search information from target data models respectively corresponding to one or more applications, where the target data model corresponding to a single application is generated based on the method of any one of claims 1 to 3.
9. An electronic device, comprising: a processor for executing a computer program stored in a memory, the computer program, when executed by the processor, implementing the steps of the method of any of claims 1-3 or implementing the steps of the method of any of claims 4-6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any of claims 1 to 3, or carries out the steps of the method of any of claims 4 to 6.
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| CN202111290489.7A CN114020799A (en) | 2021-11-02 | 2021-11-02 | Data acquisition method, data search method, data acquisition system, data search system, electronic device and storage medium |
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| CN116662523A (en) * | 2023-08-01 | 2023-08-29 | 宁波甬恒瑶瑶智能科技有限公司 | Biochemical knowledge question-answering method, system and storage medium based on GPT model |
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| CN116662523A (en) * | 2023-08-01 | 2023-08-29 | 宁波甬恒瑶瑶智能科技有限公司 | Biochemical knowledge question-answering method, system and storage medium based on GPT model |
| CN116662523B (en) * | 2023-08-01 | 2023-10-20 | 宁波甬恒瑶瑶智能科技有限公司 | Biochemical knowledge question-answering method, system and storage medium based on GPT model |
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