CN111612548B - Information acquisition method, information acquisition device, computer equipment and readable storage medium - Google Patents
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Abstract
The application discloses an information acquisition method, an information acquisition device, computer equipment and a readable storage medium, and relates to the technical field of information processing. Acquiring an identification to be screened; determining a target channel identifier according to the identifier to be screened; obtaining to-be-processed data corresponding to the to-be-screened identification from the channel data according to the target channel identification, wherein the to-be-processed data comprises at least one piece of to-be-extracted information; when the data to be processed only comprises one piece of information to be extracted, the information to be extracted is used as target information; when the data to be processed comprises a plurality of pieces of information to be extracted, each piece of information to be extracted is ordered according to the preset importance degree, and the first-order information to be extracted is used as target information, so that required information can be conveniently obtained.
Description
Technical Field
The present application relates to the field of information processing technologies, and in particular, to an information acquisition method, an information acquisition device, a computer device, and a readable storage medium.
Background
With the development of internet technology, merchants and enterprises are required to acquire information (such as nicknames, ages, geographical locations, etc.) of users in order to be able to conduct targeted commodity recommendation, product customization, etc. In the prior art, because the user may have behavior operations on multiple platforms at the same time, not the user information on each platform can accurately reflect the real information of the user, so that the acquisition of the user information is very inconvenient.
In view of this, how to provide a convenient information acquisition scheme is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
In a first aspect, an embodiment of the present application provides an information obtaining method, applied to a computer device, where the computer device stores channel data, where the channel data includes a plurality of channel identifiers, and the method includes:
acquiring an identification to be screened;
determining a target channel identifier according to the identifier to be screened;
obtaining to-be-processed data corresponding to the to-be-screened identification from the channel data according to the target channel identification, wherein the to-be-processed data comprises at least one piece of to-be-extracted information;
when the data to be processed only comprises one piece of information to be extracted, the information to be extracted is used as target information;
when the data to be processed comprises a plurality of pieces of information to be extracted, ordering each piece of information to be extracted according to a preset importance degree, and taking the first-order information to be extracted as target information.
Optionally, the channel data includes a weight corresponding to each channel identifier;
the step of ordering each piece of information to be extracted according to the preset importance degree comprises the following steps:
obtaining channel identifiers and weights corresponding to the information to be extracted;
and arranging each piece of information to be extracted according to the weight corresponding to each piece of information to be extracted.
Optionally, the data to be processed includes first information to be extracted and second information to be extracted, the first information to be extracted includes a first acquisition time, the first information to be extracted corresponds to a first weight, the second information to be extracted includes a second acquisition time, the second information to be extracted corresponds to a second weight, and the method further includes:
when the first weight and the second weight are the same in size, determining an ordering relation between the first information to be extracted and the second information to be extracted according to the first acquisition time and the second acquisition time;
when the first acquisition time is smaller than the second acquisition time, arranging the first information to be extracted before the second information to be extracted;
and when the first acquisition time is longer than the second acquisition time, arranging the first information to be extracted to the position behind the second information to be extracted.
Optionally, the method further comprises:
when the first acquisition time is equal to the second acquisition time, prompt information is sent out;
and responding to the selection operation of the user according to the prompt information, and determining the target information according to the selection operation.
In a second aspect, an embodiment of the present application provides an information acquisition apparatus applied to a computer device, where channel data is stored in the computer device, the channel data includes a plurality of channel identifiers, and the apparatus includes:
the acquisition module is used for acquiring the identification to be screened;
the determining module is used for determining a target channel identifier according to the identifier to be screened; the method comprises the steps of obtaining to-be-processed data corresponding to a to-be-screened identifier from channel data according to the target channel identifier, wherein the to-be-processed data comprises at least one piece of to-be-extracted information;
the extraction module is used for taking the information to be extracted as target information when the data to be processed only comprise one piece of information to be extracted; when the data to be processed comprises a plurality of pieces of information to be extracted, ordering each piece of information to be extracted according to a preset importance degree, and taking the first-order information to be extracted as target information.
Optionally, the channel data includes a weight corresponding to each channel identifier;
the extraction module comprises:
the extraction sub-module is used for acquiring channel identifiers and weights corresponding to each piece of information to be extracted; and arranging each piece of information to be extracted according to the weight corresponding to each piece of information to be extracted.
Optionally, the data to be processed includes first information to be extracted and second information to be extracted, the first information to be extracted includes a first acquisition time, the first information to be extracted corresponds to a first weight, the second information to be extracted includes a second acquisition time, the second information to be extracted corresponds to a second weight, and the extraction submodule is specifically configured to:
when the first weight and the second weight are the same in size, determining an ordering relation between the first information to be extracted and the second information to be extracted according to the first acquisition time and the second acquisition time; when the first acquisition time is smaller than the second acquisition time, arranging the first information to be extracted before the second information to be extracted; and when the first acquisition time is longer than the second acquisition time, arranging the first information to be extracted to the position behind the second information to be extracted.
Optionally, the extraction submodule is specifically further configured to:
when the first acquisition time is equal to the second acquisition time, prompt information is sent out; and responding to the selection operation of the user according to the prompt information, and determining the target information according to the selection operation.
In a third aspect, an embodiment of the present application provides a computer device, where the computer device includes a processor and a nonvolatile memory storing computer instructions, where the computer instructions, when executed by the processor, perform the information obtaining method according to any one of the first aspects.
In a fourth aspect, an embodiment of the present application provides a readable storage medium, where the readable storage medium includes a computer program, where the computer program controls a computer device where the readable storage medium is located to execute any one of the information acquisition methods in the first aspect.
Compared with the prior art, the application has the beneficial effects that: by adopting the information acquisition method, the information acquisition device, the computer equipment and the readable storage medium provided by the embodiment of the application, the to-be-extracted information is used as the target information when the to-be-extracted data only comprises one to-be-extracted information by acquiring the to-be-screened identification and determining the target channel identification according to the to-be-screened identification, so that the to-be-processed data corresponding to the to-be-screened identification can be acquired from the channel data according to the target channel identification; when the data to be processed comprises a plurality of pieces of information to be extracted, each piece of information to be extracted is ordered according to the preset importance degree, and the first-order information to be extracted is used as target information, so that the required information can be conveniently obtained.
Drawings
In order to more clearly illustrate the technical solution of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described. It is appreciated that the following drawings depict only certain embodiments of the application and are therefore not to be considered limiting of its scope. Other relevant drawings may be made by those of ordinary skill in the art without undue burden from these drawings.
Fig. 1 is a schematic flow chart of steps of an information obtaining method according to an embodiment of the present application;
FIG. 2 is a flow chart illustrating the substep of step S205 in FIG. 1;
fig. 3 is a schematic block diagram of an information acquisition device according to an embodiment of the present application;
fig. 4 is a schematic block diagram of a computer device according to an embodiment of the present application.
Icon: 100-a computer device; 110-information acquisition means; 1101-obtaining a module; 1102-a determination module; 1103-extraction module; 111-memory; 112-a processor; 113-a communication unit.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. It will be apparent that the described embodiments are some, but not all, embodiments of the application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Furthermore, the terms "first," "second," and the like, are used merely to distinguish between descriptions and should not be construed as indicating or implying relative importance.
The following describes specific embodiments of the present application in detail with reference to the drawings.
With the development of internet technology, enterprises pay more and more attention to the acquisition of user information, and when the enterprises sell commodities or develop products, the enterprises can obtain more benefits obviously by targeted processing, and because of the numerous platforms used by the current users, the enterprises want to carry out subsequent processing from the numerous platforms or acquire useful information, so that the method is very difficult. Based on this, an embodiment of the present application provides an information obtaining method applied to a computer device, where the computer device stores channel data, where the channel data includes a plurality of channel identifiers, as shown in fig. 1, and the method includes steps S201 to S205.
Step S201, obtaining the identification to be screened.
Step S202, determining a target channel identifier according to the identifier to be screened.
Step S203, obtaining, from the channel data, to-be-processed data corresponding to the to-be-screened identifier according to the target channel identifier, where the to-be-processed data includes at least one to-be-extracted information.
In step S204, when the data to be processed includes only one piece of the information to be extracted, the information to be extracted is used as target information.
In step S205, when the data to be processed includes a plurality of pieces of information to be extracted, each piece of information to be extracted is ordered according to a preset importance level, and the first-order information to be extracted is used as target information.
The source of the channel data may be a plurality of different channels, for example, the channel data may include information from a certain chat platform a, including a nickname of the user on the certain chat platform a, a registration time, a mobile phone number filled with a registration number, a registration filled-in age, and the like. The channel data can also come from a certain shopping platform B, and comprises information such as nicknames, registration time, registered filled mobile phone numbers, registered filled ages, shopping history search keywords and the like of users on the certain shopping platform B. The source of the channel data can also be a certain social platform C, and the channel data comprises a nickname, registration time, a mobile phone number filled in by registration, age, topic-of-interest keywords and the like of the user on the certain social platform C. Each channel may be pre-assigned a corresponding channel identification. The identification to be screened can be an identification of a data type required by an enterprise or a merchant, for example, the identification to be screened can refer to a mobile phone number identification, and after the mobile phone number identification is obtained, corresponding data to be processed can be further obtained, namely, the mobile phone number filled in a certain chat platform A is registered by a user, the mobile phone number filled in a shopping platform B is registered, and the mobile phone number filled in a social platform C is registered, namely, the data to be processed comprises three mobile phone numbers. For another example, the identifier to be screened may be a shopping keyword identifier, according to the shopping keyword identifier, the data to be processed, that is, the related data of the shopping keyword, that is, the shopping history search keyword of the user on a certain shopping platform B may be obtained, and the information to be extracted is only one of the shopping history search keywords of the user on the certain shopping platform B, so that the shopping history search keyword of the user on the certain shopping platform B may be directly extracted as the target information for use.
On the basis of the foregoing, the channel data includes a weight corresponding to each channel identifier, and the embodiment of the present application provides an example of ordering each piece of information to be extracted according to a preset importance level, as shown in fig. 2, which may be implemented through step S2051 and step S2052.
Step S2051, obtaining channel identifiers and weights corresponding to the information to be extracted.
Step S2052, arranging each piece of information to be extracted according to the weight corresponding to each piece of information to be extracted.
When the data to be processed includes a plurality of pieces of information to be extracted, the plurality of pieces of information to be extracted can be ordered according to the preset weight corresponding to each channel identifier. For example, a merchant wants to recommend a commodity to a certain user, and the type of the commodity relates to age segmentation, so that the merchant needs to acquire age-related information of the user, and can consider that the age information filled in by the user on the social platform C is generally accurate, the age information filled in by the user on the chat platform a also has a certain reference value, the age information filled in on the shopping platform B does not have a too large reference value, and the weight of the identification information with the social platform C is maximum, the weight of the identification information with the user on the chat platform a is secondary, and the weight of the identification information with the shopping platform B is smaller when the age information is acquired as information to be extracted. Therefore, the ages of the user registering and filling on the social platform C can be ranked end to end, the ages of the user registering and filling on the chat platform A are ranked second, and the ages of the user registering and filling on the shopping platform B are ranked third. After the arrangement is completed, the age of the user with the forefront arrangement can be selected as target information, and the age is registered and filled in on the social platform C.
On the basis, the data to be processed comprises first information to be extracted and second information to be extracted, the first information to be extracted comprises first acquisition time, the first information to be extracted corresponds to first weight, the second information to be extracted comprises second acquisition time, and the second information to be extracted corresponds to second weight.
And when the first acquisition time is smaller than the second acquisition time, arranging the first information to be extracted before the second information to be extracted.
And when the first acquisition time is longer than the second acquisition time, arranging the first information to be extracted to the position behind the second information to be extracted.
It should be appreciated that situations may arise where the weights of the data acquired by the two channels are equal. For example, an enterprise may want to obtain a comparison of the nickname information of a user in order to revise the nickname specification at registration. It is considered that when nickname related information is acquired, nickname information filled in by a user on the chat platform a and nickname information filled in on the social platform C have a large referential property, while nickname information filled in on the shopping platform B does not have a large referential value, so that the weight of identification information having a on the chat platform a can be set as large as the weight of identification information having the social platform C, and the weight of identification information having the shopping platform B is small. That is, the first information to be extracted may be a nickname of the user on the chat platform a, and the second information to be extracted may be a nickname of the user on the social platform C, where the nickname of the user on the chat platform a has the same weight as the nickname of the user on the social platform C. The update time of the nickname of the user on the chat platform a (first acquisition time) and the update time of the nickname of the user on the social platform C (second acquisition time) may be acquired. If the update time of the nickname of the user on the chat platform A is closer to the current time point, the nickname of the user on the chat platform A can be selected as target information extraction. Specifically, reference may be made to [ "web_nickname", [ { time: 1574949172, channel }, { time: 1574949190, channel }, "wx_nickname", "wb_nickname" ], wherein nicknames from different channels, "web_nickname", "app_nickname", "wx_nickname" and "wb_nickname" are found to have the highest weight, "app_nickname" and "wx_nickname" are found to have the highest weight, but the update time "1574949191972" of "app_nickname" is closer than the update time "1574949191990" of "wx_nickname" and the weight of "wb_nickname" is the lowest, so in embodiments of the present application, nicknames "web_nickname" may be selected as the target information. By adopting the scheme, the multi-channel integrated data display quality can be improved, market information is more accurate, the effectiveness of decision making is improved, and the research and development efficiency is improved.
On the basis, when the first acquisition time is equal to the second acquisition time, prompt information is sent out; and responding to the selection operation of the user according to the prompt information, and determining the target information according to the selection operation. In the embodiment of the application, if the weight and the acquisition time (i.e. the update time) of the two pieces of information to be extracted are the same, the prompt information can be popped up and manually selected by the user. It should be appreciated that in other implementations of embodiments of the application, the data structures representing weighted channels may be some other aggregate type of data structure besides arrays. The string representing the channel may also be represented by other data structures with channel tags.
An embodiment of the present application provides an information obtaining apparatus 110, applied to a computer device, where the computer device stores channel data, where the channel data includes a plurality of channel identifiers, as shown in fig. 3, and the apparatus includes:
the obtaining module 1101 is configured to obtain an identifier to be screened.
A determining module 1102, configured to determine a target channel identifier according to the identifier to be screened; and the processing device is used for acquiring the data to be processed corresponding to the identification to be screened from the channel data according to the target channel identification, wherein the data to be processed comprises at least one piece of information to be extracted.
An extraction module 1103, configured to take the information to be extracted as target information when the data to be processed includes only one piece of the information to be extracted; when the data to be processed comprises a plurality of pieces of information to be extracted, ordering each piece of information to be extracted according to a preset importance degree, and taking the first-order information to be extracted as target information.
Further, the channel data comprises a weight corresponding to each channel identifier;
the extracting module 1103 includes:
the extraction sub-module is used for acquiring channel identifiers and weights corresponding to each piece of information to be extracted; and arranging each piece of information to be extracted according to the weight corresponding to each piece of information to be extracted.
Further, the data to be processed includes first information to be extracted and second information to be extracted, the first information to be extracted includes a first acquisition time, the first information to be extracted corresponds to a first weight, the second information to be extracted includes a second acquisition time, the second information to be extracted corresponds to a second weight, and the extraction submodule is specifically configured to:
when the first weight and the second weight are the same in size, determining an ordering relation between the first information to be extracted and the second information to be extracted according to the first acquisition time and the second acquisition time; when the first acquisition time is smaller than the second acquisition time, arranging the first information to be extracted before the second information to be extracted; and when the first acquisition time is longer than the second acquisition time, arranging the first information to be extracted to the position behind the second information to be extracted.
Further, the extraction submodule is specifically further configured to:
when the first acquisition time is equal to the second acquisition time, prompt information is sent out; and responding to the selection operation of the user according to the prompt information, and determining the target information according to the selection operation.
An embodiment of the present application provides a computer device 100, where the computer device 100 includes a processor and a nonvolatile memory storing computer instructions, and when the computer instructions are executed by the processor, the computer device 100 executes the information acquisition method described in any one of the foregoing. As shown in fig. 4, fig. 4 is a block diagram of a computer device 100 according to an embodiment of the present application. The computer apparatus 100 includes an information acquisition device 110, a memory 111, a processor 112, and a communication unit 113.
For data transmission or interaction, the memory 111, the processor 112 and the communication unit 113 are electrically connected to each other directly or indirectly. For example, the elements may be electrically connected to each other via one or more communication buses or signal lines. The information acquisition means 110 comprise at least one software function module which may be stored in the memory 111 in the form of software or firmware (firmware) or cured in an Operating System (OS) of the computer device 100. The processor 112 is configured to execute executable modules stored in the memory 111, such as software functional modules and computer programs included in the information acquisition device 110.
An embodiment of the present application provides a readable storage medium, where the readable storage medium includes a computer program, where the computer program controls a computer device where the readable storage medium is located to execute any one of the foregoing information acquisition methods when running the computer program.
In summary, by adopting the information acquisition method, the information acquisition device, the computer equipment and the readable storage medium provided by the embodiment of the application, the to-be-extracted information is taken as the target information by acquiring the to-be-screened identification and determining the target channel identification according to the to-be-screened identification, so that the to-be-processed data corresponding to the to-be-screened identification can be acquired from the channel data according to the target channel identification, and when the to-be-processed data only comprises one piece of to-be-extracted information; when the data to be processed comprises a plurality of pieces of information to be extracted, each piece of information to be extracted is ordered according to the preset importance degree, and the first-order information to be extracted is used as target information, so that the required information can be conveniently obtained.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (6)
1. An information acquisition method, applied to a computer device, wherein channel data is stored in the computer device, the channel data includes a plurality of channel identifiers and weights corresponding to each channel identifier, the method includes:
acquiring an identification to be screened;
determining a target channel identifier according to the identifier to be screened;
obtaining to-be-processed data corresponding to the to-be-screened identification from the channel data according to the target channel identification, wherein the to-be-processed data comprises at least one piece of to-be-extracted information;
when the data to be processed only comprises one piece of information to be extracted, the information to be extracted is used as target information;
when the data to be processed comprises a plurality of pieces of information to be extracted, sequencing each piece of information to be extracted according to a preset importance degree, and taking the first-order information to be extracted as target information;
the step of ordering each piece of information to be extracted according to the preset importance degree comprises the following steps:
obtaining channel identifiers and weights corresponding to the information to be extracted;
arranging each piece of information to be extracted according to the weight corresponding to each piece of information to be extracted;
the data to be processed comprises first information to be extracted and second information to be extracted, the first information to be extracted comprises first acquisition time, the first information to be extracted corresponds to first weight, the second information to be extracted comprises second acquisition time, and the second information to be extracted corresponds to second weight;
when the first weight and the second weight are the same in size, determining an ordering relation between the first information to be extracted and the second information to be extracted according to the first acquisition time and the second acquisition time;
when the first acquisition time is smaller than the second acquisition time, arranging the first information to be extracted before the second information to be extracted;
and when the first acquisition time is longer than the second acquisition time, arranging the first information to be extracted to the position behind the second information to be extracted.
2. The method as recited in claim 1, wherein the method further comprises:
when the first acquisition time is equal to the second acquisition time, prompt information is sent out;
and responding to the selection operation of the user according to the prompt information, and determining the target information according to the selection operation.
3. An information acquisition apparatus, characterized by being applied to a computer device storing channel data including a plurality of channel identifications and weights corresponding to each of the channel identifications, the apparatus comprising:
the acquisition module is used for acquiring the identification to be screened;
the determining module is used for determining a target channel identifier according to the identifier to be screened; the method comprises the steps of obtaining to-be-processed data corresponding to a to-be-screened identifier from channel data according to the target channel identifier, wherein the to-be-processed data comprises at least one piece of to-be-extracted information;
the extraction module is used for taking the information to be extracted as target information when the data to be processed only comprise one piece of information to be extracted; when the data to be processed comprises a plurality of pieces of information to be extracted, sequencing each piece of information to be extracted according to a preset importance degree, and taking the first-order information to be extracted as target information;
the extraction module comprises:
the extraction sub-module is used for acquiring channel identifiers and weights corresponding to each piece of information to be extracted; arranging each piece of information to be extracted according to the weight corresponding to each piece of information to be extracted; the data to be processed comprises first information to be extracted and second information to be extracted, the first information to be extracted comprises first acquisition time, the first information to be extracted corresponds to first weight, the second information to be extracted comprises second acquisition time, and the second information to be extracted corresponds to second weight;
the extraction submodule is specifically used for:
when the first weight and the second weight are the same in size, determining an ordering relation between the first information to be extracted and the second information to be extracted according to the first acquisition time and the second acquisition time; when the first acquisition time is smaller than the second acquisition time, arranging the first information to be extracted before the second information to be extracted; and when the first acquisition time is longer than the second acquisition time, arranging the first information to be extracted to the position behind the second information to be extracted.
4. The apparatus according to claim 3, wherein the extraction sub-module is further specifically configured to:
when the first acquisition time is equal to the second acquisition time, prompt information is sent out; and responding to the selection operation of the user according to the prompt information, and determining the target information according to the selection operation.
5. A computer device comprising a processor and a non-volatile memory storing computer instructions which, when executed by the processor, perform the information acquisition method of any one of claims 1-2.
6. A readable storage medium, characterized in that the readable storage medium comprises a computer program, which when run controls a computer device in which the readable storage medium is located to perform the information acquisition method according to any one of claims 1-2.
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