CN113609174A - Industry user data searching method and device, computer equipment and storage medium - Google Patents
Industry user data searching method and device, computer equipment and storage medium Download PDFInfo
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- CN113609174A CN113609174A CN202110857724.8A CN202110857724A CN113609174A CN 113609174 A CN113609174 A CN 113609174A CN 202110857724 A CN202110857724 A CN 202110857724A CN 113609174 A CN113609174 A CN 113609174A
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Abstract
The application discloses an industry user data searching method, an industry user data searching device, computer equipment and a storage medium. The industry user data searching method comprises the following steps: acquiring an industry user data search request of a current user, wherein the industry user data search request carries search parameters; acquiring a pre-generated industry tag library and an industry knowledge library according to the industry user data search request; the industry knowledge base is generated according to industry user data of a plurality of data sources; and searching in an industry knowledge base according to the search parameters and the industry tag base to obtain an industry user search result. The method and the device solve the technical problem that accurate industry user data cannot be acquired.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to an industry user data search method, apparatus, computer device, and storage medium.
Background
With the rapid development of internet technology, the internet can provide people with abundant information to meet the needs of people. For example, a user may search for nursery stock business information via a search engine. In the current internet enterprises, the industry user data search mode is generally to search in a station according to keywords to obtain corresponding industry user data. The data acquired by the traditional industry user data searching mode is very comprehensive, only the data in the station exists, and the industry user data of each station is basically closed, so that a user cannot acquire accurate industry user data. Therefore, how to acquire accurate industry user data becomes a technical problem to be solved at present.
Disclosure of Invention
The application mainly aims to provide an industry user data searching method, an industry user data searching device, computer equipment and a storage medium, so as to solve the problem that accurate industry user data cannot be obtained.
To achieve the above object, according to one aspect of the present application, there is provided an industry user data search method.
The industry user data searching method comprises the following steps:
acquiring an industry user data search request of a current user, wherein the industry user data search request carries search parameters;
acquiring a pre-generated industry tag library and an industry knowledge library according to the industry user data search request; the industry knowledge base is generated according to industry user data of a plurality of data sources;
and searching in an industry knowledge base according to the search parameters and the industry tag base to obtain an industry user search result.
Further, before the obtaining of the industry user data search request of the current user, the method further includes:
acquiring industry user data of a plurality of data sources;
and fusing the industry user data of the plurality of data sources to generate an industry knowledge base.
Further, after the generating of the industry knowledge base, the method further comprises:
acquiring basic data of users in the Internet industry;
matching the basic data with the industry knowledge base to obtain a user tag of the internet industry user;
and generating an industry label library according to the user label.
Further, the searching in the industry knowledge base according to the search parameter and the industry tag base to obtain an industry user search result includes:
matching the search parameter with the industry label library to obtain a first target industry user corresponding to the search parameter;
and searching the industry knowledge base for the industry user data of the first target industry user to generate an industry user search result.
Further, the method further comprises:
acquiring the position information of the current user;
determining a second target industry user in the industry label library according to the position information and the search parameter;
and searching the industry knowledge base for the industry user data of the second target industry user to generate an industry user search result.
Further, after obtaining the industry user search result, the method further comprises:
acquiring the position information of the current user;
acquiring industry user data within a preset distance range from the current user according to the position information;
and matching the search parameters with the acquired industry user data, and determining the peripheral industry user data of the current user.
In order to achieve the above object, according to another aspect of the present application, there is provided an industry user data search apparatus.
The industry user data search device according to this application includes:
the communication module is used for acquiring an industry user data search request of a current user, wherein the industry user data search request carries search parameters;
the acquisition module is used for acquiring a pre-generated industry tag library and an industry knowledge library according to the industry user data search request; the industry knowledge base is generated according to industry user data of a plurality of data sources;
and the searching module is used for searching in the industry knowledge base according to the searching parameters and the industry tag base to obtain an industry user searching result.
Further, the apparatus further comprises:
the industry knowledge base generation module is used for acquiring industry user data of a plurality of data sources before the industry user data search request of the current user is acquired; and fusing the industry user data of the plurality of data sources to generate an industry knowledge base.
A computer device comprising a memory and a processor, the memory storing a computer program operable on the processor, the processor implementing the steps in the various method embodiments described above when executing the computer program.
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 respective method embodiment described above.
According to the industry user data searching method, the industry user data searching device, the computer equipment and the storage medium, the industry user data searching request of the current user is obtained, the industry user data searching request carries the searching parameters, so that a pre-generated industry label library and an industry knowledge library are obtained according to the industry user data searching request, the industry knowledge library is generated according to the industry user data of a plurality of data sources, and then searching is carried out in the industry knowledge library according to the searching parameters and the industry label library to obtain the industry user searching result. The industry knowledge base is generated according to industry user data of a plurality of data sources, so that the industry user data in each closed station can be communicated, the industry user data in the whole network range can be obtained, and therefore when a user searches the industry user data, a comprehensive data search result is obtained, and the accuracy of data search is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
FIG. 1 is a diagram of an application environment for a method of industry user data search in one embodiment;
FIG. 2 is a schematic flow chart diagram illustrating a method for searching industry user data in one embodiment;
FIG. 3 is a schematic flow chart diagram illustrating the steps of generating an industry knowledge base in one embodiment;
FIG. 4 is a schematic flow chart diagram illustrating the steps for searching user data of the perimeter industry in one embodiment;
FIG. 5 is a block diagram of an embodiment of an industry user data search device;
FIG. 6 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
The industry user data searching method provided by the application can be applied to the application environment shown in fig. 1. Wherein the terminal 102 and the server 104 communicate via a network. The server 104 obtains an industry user data search request of a current user sent by the terminal 102, the industry user data search request carries search parameters, the server 104 obtains a pre-generated industry tag library and an industry knowledge base according to the industry user data search request, the industry knowledge base is generated according to industry user data of a plurality of data sources, and therefore searching is conducted in the industry knowledge base according to the search parameters and the industry tag library to obtain an industry user search result. The terminal 102 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices. The server 104 may be implemented as a stand-alone server or as a server cluster comprised of multiple servers.
In one embodiment, as shown in fig. 2, an industry user data searching method is provided, which is described by taking the method as an example applied to the server in fig. 1, and includes the following steps 202 to 206:
The current user refers to a user who needs to perform data search currently. The industry refers to the economic activity categories divided according to the production of the same kind of products or the same technological process or the provision of the same kind of labor service, such as the sales industry, the nursery stock industry, the machinery industry and the like. An industry user refers to an enterprise engaged in a particular industry. Industry user data refers to enterprise data for enterprises engaged in a particular industry. The industry user data search request is used for instructing the server to search the industry user data.
When data searching is needed, a current user can send an industry user data searching request to a server through a terminal, and after the server obtains the industry user data searching request, the industry user data searching request is analyzed to obtain searching parameters carried by the industry user data searching request. The search parameter may be a search keyword or a search sentence. For example, the search keyword may be province, seedling variety, etc., and the search statement may be which of the enterprises with seedling variety B in province a.
The industry label library is a label library composed of user labels of a plurality of industry users. The industry knowledge base is a database in which user data of a plurality of industry users are stored.
The server generates an industry knowledge base and an industry label base in advance before acquiring an industry user data search request sent by the terminal. The industry knowledge base is generated by industry user data of a plurality of data sources, and comprises a plurality of categories of industry user data, such as suppliers and demanders. The industry user data of the plurality of data sources includes industry user data extracted from various internet data, such as web portals, video websites, e-commerce websites, travel websites, forums, microblogs, WeChats, and the like. The server can acquire the behavior data of all users on the Internet, and matches the acquired behavior data with the industry knowledge base to obtain the industry tag base. The behavior data refers to data corresponding to all behaviors of the industry users on the network. The behavior data is matched with the industry knowledge base to determine the category label corresponding to the behavior data, so that the user label corresponding to each industry user is obtained, and the industry label base is further obtained.
And step 206, searching in the industry knowledge base according to the search parameters and the industry tag base to obtain an industry user search result.
The industry label library comprises user labels of all industry users on the Internet. The server can search the corresponding user tag in the industry user tag according to the search parameter, so that the target industry user corresponding to the search parameter is determined, the industry user data of the target industry user is searched in the industry knowledge base, an industry user search result is obtained, and the search result is fed back to the current user. Furthermore, the search can be performed in the industry user tags and the industry knowledge base according to the index sequence searching mode.
When the search parameter is a search keyword, the server only needs to search the industry user tags for the user tags corresponding to the search keyword so as to search corresponding industry user data. When the search parameter is a search statement, the server may perform word segmentation processing on the search statement to obtain a plurality of keywords. Therefore, the corresponding user tags are searched in the industry user tags according to the keywords, the target industry user with the user tags corresponding to the keywords simultaneously exists is determined, the industry user data of the target industry user is searched in the industry knowledge base, and the industry user search result is obtained.
In the embodiment, an industry user data search request of a current user is obtained, the industry user data search request carries search parameters, so that a pre-generated industry tag library and an industry knowledge base are obtained according to the industry user data search request, the industry knowledge base is generated according to industry user data of a plurality of data sources, and then searching is carried out in the industry knowledge base according to the search parameters and the industry tag library to obtain an industry user search result. The industry knowledge base is generated according to industry user data of a plurality of data sources, so that the industry user data in each closed station can be communicated, the industry user data in the whole network range can be obtained, and therefore when a user searches the industry user data, a comprehensive data search result is obtained, and the accuracy of data search is improved.
In one embodiment, as shown in fig. 3, before obtaining the industry user data search request of the current user, the method further includes: generating an industry knowledge base, wherein the step specifically comprises the following steps:
And step 304, fusing the industry user data of the plurality of data sources to generate an industry knowledge base.
The industry user data of the plurality of data sources includes industry user data extracted from various internet data, such as web portals, video websites, e-commerce websites, travel websites, forums, microblogs, WeChats, industry applications, and the like. Industry user data refers to enterprise data for enterprises engaged in a particular industry. The server can fuse the acquired industrial user data of a plurality of data sources in order to facilitate subsequent generation of an industrial tag library, and specifically, the server can perform primary category division on the industrial data of each data source, for example, the industrial data is divided into supplier data and demand data. The supplier data and the demand data can be further divided into a plurality of secondary categories such as provinces, cities, positions, planted seedling varieties and the like, and corresponding category labels are obtained. Since different data sources may have labels with the same meaning but different category labels, in order to unify the industry user data of multiple data sources, the server may perform clustering processing on the category labels obtained by dividing multiple data sources, and summarize the category data of different data sources belonging to the same category label, thereby obtaining the industry knowledge base.
In the embodiment, the industry user data of a plurality of data sources is acquired and fused to generate the industry knowledge base, and the data of the respective isolated data sources can be fused together, so that a user can search data in the whole network range, and the accuracy of data search is further improved.
In one embodiment, after generating the industry knowledge base, the method further comprises: acquiring basic data of users in the Internet industry; matching the basic data with an industry knowledge base to obtain a user tag of an internet industry user; and generating an industry label library according to the user label.
The basic data of the internet industry users refers to historical data of the industry users which can be searched on the internet. The base data may include behavioral data and location data of internet industry users. For example, the behavior data may include behaviors for web browsing, clicking, purchasing, and the like. The location data refers to the geographic location of the internet user.
The server can acquire all industry users on the Internet, and the industry users can be represented by mobile equipment numbers or third-party account numbers. The server acquires basic data of the industry user and matches the basic data with an industry knowledge base. Specifically, the basic data includes behavior data and position data. The server respectively matches the behavior data and the position data with category labels in an industry knowledge base, determines a user basic label matched with the behavior data, and determines a user attribute label matched with the position data. The user base tags may include supplier data, demander data, provinces, cities, planted seedling varieties, etc., and the user attribute data may include enterprise locations. The server obtains the user label of each internet industry user according to the user basic label and the user attribute label, and further generates an industry label library according to the user labels of all internet industry users.
Furthermore, the behavior data of the internet industry users comprises internet logs. The server can match the internet log of the internet industry user with an industry knowledge base to generate a user basic label matched with the internet log.
In one embodiment, a plurality of data sources can be monitored, and when the data of the data sources are monitored to be updated, the industry user data of the updated data sources are obtained, so that the updated industry user data are fused to obtain an updated industry knowledge base. It can be understood that, when the industry knowledge base is updated, the category corresponding to the industry user data may change, which results in the change of the category label, and therefore, the acquired behavior data of the internet user needs to be matched with the updated industry knowledge base to update the industry label base, so as to ensure the accuracy of the data search result.
In the embodiment, the basic data of the internet industry user is matched with the industry knowledge base to obtain the user tag of the internet industry user, the industry tag base is generated according to the user tag, the basic data comprises behavior data and position data, and the user tag is more comprehensive by analyzing the multi-dimensional data.
In one embodiment, searching in the industry knowledge base according to the search parameters and the industry tag base to obtain the industry user search result comprises: matching the search parameters with an industry tag library to obtain a first target industry user corresponding to the search parameters; searching industry user data of the first target industry user in an industry knowledge base to generate an industry user search result.
The first target industry user refers to an industry user corresponding to the search parameter in the industry tag library.
The industry label library comprises a plurality of industry users and user labels corresponding to the industry users. The server may match the search parameter with the industry tag library, determine a user tag corresponding to the search parameter in the industry tag library, and determine an industry user corresponding to the user tag as the first target industry user. The industry knowledge base stores industry user data of a plurality of data sources and also stores industry user data of all industry users. The server may search the industry knowledge base for industry user data of the first target industry user, and use the searched industry user data as an industry user search result.
In this embodiment, since the industry tag library includes relatively comprehensive user tags of all internet industry users, the target industry user can be quickly and accurately determined by matching the search parameter with the industry tag library, and the industry knowledge base includes industry user data in the whole network range, so that the industry user data is searched in the industry knowledge base, and the accuracy of the industry user search result is further improved.
In one embodiment, the method further comprises: acquiring the position information of a current user; determining a second target industry user in the industry label library according to the position information and the search parameter; and searching the industry user data of the second target industry user in the industry knowledge base to generate an industry user search result.
The second target industry user refers to an industry user whose category label matches both the location information and the search parameter.
The server may obtain location information of the current user. Specifically, the position information (geographical coordinates or geodetic coordinates) of the current user may be acquired by a GPS (Global Positioning System), and the position information of the current user may be acquired by a base station Positioning device. The server can match the position information of the current user with the position tags in the industry tag library, determine the position tags matched with the position information, match the search parameters with other types of tags of the industry users corresponding to the position tags, and determine the successfully matched industry users as second target industry users. And searching the industry knowledge base for the industry user data of the second target industry user, and determining the industry user data as an industry user search result.
In this embodiment, the location information and the search parameter are matched with the industry tag library, so that the industry user at the current location of the user can be determined quickly and accurately, and the enterprise data at the current location can be known.
In one embodiment, as shown in fig. 4, after obtaining the industry user search result, the method further comprises: the method comprises the following steps of searching user data of peripheral industries, wherein the steps specifically comprise:
And step 404, acquiring industry user data within a preset distance range from the current user according to the position information.
And step 406, matching the search parameters with the acquired industry user data to determine the peripheral industry user data of the current user.
The server may acquire the location information (geographical coordinates or geodetic coordinates) of the current user through a GPS (Global Positioning System), and may also acquire the location information of the current user through a base station Positioning device. The industry users in the industry knowledge base are users registered on the internet, and enterprise data of enterprises around the current user may not be included. To know the surrounding enterprises, a distance range may be preset, i.e., within 2 km. The server can acquire the industry user data within a preset distance range from the position information, so that the search parameters are matched with the acquired industry user data. The matching mode may be an index sequential search mode. And the server determines the successfully matched industry user data as the industry user data around the current user.
In this embodiment, industry user data within a preset distance range from the current user is acquired according to the position information, the search parameter is matched with the acquired industry user data, and peripheral industry user data of the current user is determined. The method can acquire the data of the industrial users around the users, and facilitates the nearby communication and cooperation among the industrial users.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
In one embodiment, as shown in fig. 5, there is provided an industry user data search apparatus, including: a communication module 502, an acquisition module 504, and a search module 506, wherein:
the communication module 502 is configured to obtain an industry user data search request of a current user, where the industry user data search request carries search parameters.
An obtaining module 504, configured to obtain a pre-generated industry tag library and an industry knowledge base according to an industry user data search request; an industry repository is generated from industry user data from a plurality of data sources.
And the searching module 506 is used for searching in the industry knowledge base according to the searching parameters and the industry tag base to obtain an industry user searching result.
In one embodiment, the above apparatus further comprises:
the industry knowledge base generation module is used for acquiring industry user data of a plurality of data sources before acquiring an industry user data search request of a current user; and fusing the industry user data of the plurality of data sources to generate an industry knowledge base.
In one embodiment, the above apparatus further comprises:
the industry label base module is used for acquiring basic data of Internet industry users; matching the basic data with an industry knowledge base to obtain a user tag of an internet industry user; and generating an industry label library according to the user label.
In one embodiment, the search module 506 is further configured to match the search parameter with an industry tag library to obtain a first target industry user corresponding to the search parameter; searching industry user data of the first target industry user in an industry knowledge base to generate an industry user search result.
In one embodiment, the above apparatus further comprises:
and the position information acquisition module is used for acquiring the position information of the current user.
The search module 506 is further configured to determine a second target industry user in the industry tag library according to the location information and the search parameter; and searching the industry user data of the second target industry user in the industry knowledge base to generate an industry user search result.
In one embodiment, the above apparatus further comprises:
and the position information acquisition module is used for acquiring the position information of the current user.
The peripheral data acquisition module is used for acquiring industry user data within a preset distance range from a current user according to the position information;
the search module 506 is further configured to match the search parameter with the acquired industry user data to determine peripheral industry user data of the current user.
For specific limitations of the industry user data search device, reference may be made to the above limitations of the industry user data search method, which is not described herein again. The various modules in the questionnaire survey device described above may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 6. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing data of an industry user data searching method. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement an industry user data search method.
Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, there is provided a computer device comprising a memory storing a computer program and a processor implementing the following steps when the processor executes the computer program:
acquiring an industry user data search request of a current user, wherein the industry user data search request carries search parameters;
acquiring a pre-generated industry tag library and an industry knowledge library according to an industry user data search request; the industry knowledge base is generated according to industry user data of a plurality of data sources;
and searching in the industry knowledge base according to the search parameters and the industry tag base to obtain an industry user search result.
In one embodiment, prior to obtaining the industry user data search request of the current user, the processor when executing the computer program further performs the steps of: acquiring industry user data of a plurality of data sources; and fusing the industry user data of the plurality of data sources to generate an industry knowledge base.
In one embodiment, after generating the industry knowledge base, the processor when executing the computer program further performs the steps of: acquiring basic data of users in the Internet industry; matching the basic data with an industry knowledge base to obtain a user tag of an internet industry user; and generating an industry label library according to the user label.
In one embodiment, the processor, when executing the computer program, further performs the steps of: matching the search parameters with an industry tag library to obtain a first target industry user corresponding to the search parameters; searching industry user data of the first target industry user in an industry knowledge base to generate an industry user search result.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring the position information of a current user; determining a second target industry user in the industry label library according to the position information and the search parameter; and searching the industry user data of the second target industry user in the industry knowledge base to generate an industry user search result.
In one embodiment, after obtaining the industry user search results, the processor when executing the computer program further performs the steps of: acquiring the position information of a current user; acquiring industry user data within a preset distance range from a current user according to the position information; and matching the search parameters with the acquired industry user data to determine the peripheral industry user data of the current user.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring an industry user data search request of a current user, wherein the industry user data search request carries search parameters;
acquiring a pre-generated industry tag library and an industry knowledge library according to an industry user data search request; the industry knowledge base is generated according to industry user data of a plurality of data sources;
and searching in the industry knowledge base according to the search parameters and the industry tag base to obtain an industry user search result.
In one embodiment, prior to obtaining the industry user data search request of the current user, the computer program when executed by the processor further performs the steps of: acquiring industry user data of a plurality of data sources; and fusing the industry user data of the plurality of data sources to generate an industry knowledge base.
In one embodiment, after generating the industry knowledge base, the computer program when executed by the processor further performs the steps of: acquiring basic data of users in the Internet industry; matching the basic data with an industry knowledge base to obtain a user tag of an internet industry user; and generating an industry label library according to the user label.
In one embodiment, the computer program when executed by the processor further performs the steps of: matching the search parameters with an industry tag library to obtain a first target industry user corresponding to the search parameters; searching industry user data of the first target industry user in an industry knowledge base to generate an industry user search result.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring the position information of a current user; determining a second target industry user in the industry label library according to the position information and the search parameter; and searching the industry user data of the second target industry user in the industry knowledge base to generate an industry user search result.
In one embodiment, after obtaining the industry user search results, the computer program when executed by the processor further performs the steps of: acquiring the position information of a current user; acquiring industry user data within a preset distance range from a current user according to the position information; and matching the search parameters with the acquired industry user data to determine the peripheral industry user data of the current user.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. An industry user data searching method, comprising:
acquiring an industry user data search request of a current user, wherein the industry user data search request carries search parameters;
acquiring a pre-generated industry tag library and an industry knowledge library according to the industry user data search request; the industry knowledge base is generated according to industry user data of a plurality of data sources;
and searching in an industry knowledge base according to the search parameters and the industry tag base to obtain an industry user search result.
2. The method of claim 1, wherein prior to said obtaining an industry user data search request for a current user, the method further comprises:
acquiring industry user data of a plurality of data sources;
and fusing the industry user data of the plurality of data sources to generate an industry knowledge base.
3. The method of claim 2, wherein after the generating an industry knowledge base, the method further comprises:
acquiring basic data of users in the Internet industry;
matching the basic data with the industry knowledge base to obtain a user tag of the internet industry user;
and generating an industry label library according to the user label.
4. The method of claim 1, wherein searching in an industry knowledge base according to the search parameters and the industry tag library to obtain an industry user search result comprises:
matching the search parameter with the industry label library to obtain a first target industry user corresponding to the search parameter;
and searching the industry knowledge base for the industry user data of the first target industry user to generate an industry user search result.
5. The method of claim 1, further comprising:
acquiring the position information of the current user;
determining a second target industry user in the industry label library according to the position information and the search parameter;
and searching the industry knowledge base for the industry user data of the second target industry user to generate an industry user search result.
6. The method of claim 1, wherein after the obtaining of the industry user search results, the method further comprises:
acquiring the position information of the current user;
acquiring industry user data within a preset distance range from the current user according to the position information;
and matching the search parameters with the acquired industry user data, and determining the peripheral industry user data of the current user.
7. An industry user data search apparatus, the apparatus comprising:
the communication module is used for acquiring an industry user data search request of a current user, wherein the industry user data search request carries search parameters;
the acquisition module is used for acquiring a pre-generated industry tag library and an industry knowledge library according to the industry user data search request; the industry knowledge base is generated according to industry user data of a plurality of data sources;
and the searching module is used for searching in the industry knowledge base according to the searching parameters and the industry tag base to obtain an industry user searching result.
8. The apparatus of claim 7, further comprising:
the industry knowledge base generation module is used for acquiring industry user data of a plurality of data sources before the industry user data search request of the current user is acquired; and fusing the industry user data of the plurality of data sources to generate an industry knowledge base.
9. A computer device comprising a memory and a processor, the memory storing a computer program operable on the processor, wherein the processor implements the steps of the method of any one of claims 1 to 6 when executing the computer program.
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 one of claims 1 to 6.
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| CN114185880A (en) * | 2021-12-10 | 2022-03-15 | 北京金堤科技有限公司 | Affiliated industry data determining method and device |
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