CN112487261B - Data acquisition method and device, electronic equipment and medium - Google Patents
Data acquisition method and device, electronic equipment and medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a method and a device for acquiring data, electronic equipment and a medium, wherein the method for acquiring the data comprises the following steps: receiving a data acquisition request sent by a user side, wherein the data acquisition request comprises acquired data type information and a preset user virtual identifier; judging whether to acquire general popularity list data or not according to the data type information; if yes, calling the general popularity list data corresponding to the user virtual identification, and storing the general popularity list data, wherein different user virtual identifications correspond to different general popularity list data. The embodiment of the invention reduces the construction and maintenance cost of the general degraded data (namely, the general heat list data), can conveniently obtain the general heat degraded data changed along with the change of the conventional iteration through the unique and unchangeable user virtual identification, and has accurate and reliable obtained data. Therefore, the data acquisition mode is simple and flexible.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a device for acquiring data, electronic equipment and a medium.
Background
Currently, the demotion process of the universal personalized list is used for returning the universal hot data when the personalized list has a problem depending on the party. The common implementation mode is that a set of independent degradation system independent of the current personalized list is separately established and is separately maintained and upgraded.
The following disadvantages exist: a set of degraded data generation system needs to be maintained separately, on one hand, the access cost of the degraded data and the maintenance cost of the whole link are relatively high, and on the other hand, the risk of inconsistency between the degraded data and the personalized list data is increased because the update frequency and the update iteration frequency of the conventional list cannot be completely matched.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a data acquisition method, a device, electronic equipment and a medium, which can conveniently acquire the general heat degradation data changed along with the change of conventional iteration, and the acquired data is accurate and reliable. Therefore, the data acquisition mode is simple and flexible.
In order to solve the technical problems, the invention provides the following technical scheme:
in a first aspect, the present invention provides a data obtaining method, including:
receiving a data acquisition request sent by a user side, wherein the data acquisition request comprises acquired data type information and a preset user virtual identifier;
judging whether to acquire general popularity list data or not according to the data type information;
if yes, calling general popularity list data corresponding to the user virtual identification, and storing the general popularity list data, wherein different user virtual identifications correspond to different general popularity list data.
Further, after storing the general hotlist data, the method further includes: and feeding back the stored general popularity list data to the user side.
Further, the data acquisition request further includes a user real identifier, and the method further includes:
if the user personalized list data is judged to be acquired according to the data type information, calling the user personalized list data corresponding to the user real identification;
and feeding back the user personalized list data to the user side.
Further, the method also comprises the following steps: and if the user personalized list data corresponding to the user real identification is called to be abnormal, feeding back the stored general popularity list data to the user side.
Further, the receiving a data obtaining request sent by a user side includes: and receiving the data acquisition request sent by the user side through a preset list relying party interface.
Further, the invoking general hotlist data corresponding to the user virtual identification comprises:
obtaining a general popularity list data recommendation ID according to the user virtual identification;
and recommending the ID according to the general popularity list data, and obtaining the general popularity list data through a recommendation list service party.
Further, the data acquisition request sent by the receiving user side is triggered autonomously by the user side, or triggered periodically by the user side.
In a second aspect, the present invention provides an apparatus for acquiring data, including:
the system comprises an interface module, a data acquisition module and a data processing module, wherein the interface module is used for receiving a data acquisition request sent by a user side, and the data acquisition request comprises acquired data type information and a preset user virtual identifier;
the judging module is used for judging whether to acquire the universal heat list data according to the data type information;
and the recommending module is used for calling the universal hot list data corresponding to the user virtual identification when the judging module judges that the data type information is that the universal hot list data is acquired, and storing the universal hot list data in a preset database, wherein different user virtual identifications correspond to different universal hot list data.
Further, the recommendation module is further configured to:
after storing the general popularity list data, feeding back the stored general popularity list data to the user side.
Further, the data obtaining request further includes a user real identifier, and the recommending module is further configured to:
if the user personalized list data are judged to be acquired according to the data type information, calling the user personalized list data corresponding to the user real identification;
and feeding back the user personalized list data to the user side.
Further, the recommendation module is further configured to: and if the user personalized list data corresponding to the user real identification is called to be abnormal, the stored general popularity list data is fed back to the user side.
Further, the interface module is configured to: and receiving the data acquisition request sent by the user side through a preset list relying party interface.
Further, the recommendation module is to:
obtaining a general popularity list data recommendation ID according to the user virtual identification;
and recommending the ID according to the general popularity list data, and obtaining the general popularity list data through a recommendation list service party.
Further, the data acquisition request sent by the user side is received and autonomously triggered by the user side, or periodically triggered by the user side.
In a third aspect, the present invention provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the data obtaining method when executing the program.
In a fourth aspect, the invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of acquiring data.
According to the technical scheme, the data acquisition method, the data acquisition device, the electronic equipment and the data acquisition medium do not need an additional independent degradation system penetrating through the whole process, and can acquire the universal heat list data by multiplexing the conventional data docking system, so that the construction and maintenance costs of the universal degradation data (namely the universal heat list data) are reduced; in addition, the virtual identifiers of the users at different user terminals are unique and do not change with the iteration of the personalized recommendation list, and the data elements displayed by the universal popularity degradation data change with the change of the conventional iteration, that is: through the unique and unchangeable user virtual identification, the general heat degradation data which is changed along with the change of the conventional iteration can be conveniently obtained, and the obtained data is accurate and reliable. Therefore, the data acquisition mode is simple and flexible.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a method of data acquisition according to one embodiment of the invention;
fig. 2 is a schematic diagram of acquiring general hotlist data in the data acquiring method according to an embodiment of the present invention;
fig. 3 is a schematic diagram of acquiring user personalized list data in the data acquisition method according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an abnormal user personalized list data acquired in the data acquisition method according to an embodiment of the present invention;
FIG. 5 is a block diagram of an apparatus for acquiring data according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. 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 invention.
A method, an apparatus, an electronic device, and a medium for acquiring data according to embodiments of the present invention are described below with reference to the accompanying drawings.
Fig. 1 is a flowchart of a data acquisition method according to an embodiment of the present invention. As shown in fig. 1, the method for acquiring data according to an embodiment of the present invention includes the following steps:
s101: and receiving a data acquisition request sent by a user side, wherein the data acquisition request comprises acquired data type information and a preset user virtual identifier.
In this embodiment, the user side is, but not limited to, a mobile terminal, such as a smart phone, a tablet computer, or a PC.
The obtained data type information is, for example, a downloadFlag flag identifier, and when the downloadFlag identifier is given with different values, the corresponding data types are different, for example: when the value of the downloadFlag is set to true, the downloadFlag corresponds to the general popularity list data; and when the value of the downloadFlag is false, corresponding to the personalized list data of the user.
In this embodiment, the user virtual identifier is usually preset, that is: a user virtual identifier is predefined and marked as a UUID, where a format of the UUID is, for example: downlink-virtual-xxxxxxxxxx. The UUID should be distinguished from the user's real identification and have a clear semantic definition, so that after the UUID is acquired, the UUID can be distinguished quickly.
In this example, the UUID may be predefined by a technician.
S102: and judging whether the general popularity list data is acquired or not according to the data type information.
For example: and if the value of the downloadFlag is set to true, determining that the data is a data acquisition request for acquiring the general popularity list data.
S103: if yes, calling general popularity list data corresponding to the user virtual identifications and storing the general popularity list data, wherein different user virtual identifications correspond to different general popularity list data.
In this embodiment, after receiving the UUID, the universal popularity list data of the city dimension may be derived.
According to the data acquisition method provided by the embodiment of the invention, the universal hot list data can be obtained by multiplexing the existing data docking system without using an additional independent degradation system which runs through the whole process, and further, the construction and maintenance costs of the universal degradation data (namely the universal hot list data) are reduced; in addition, the virtual identifiers of the users at different user terminals are unique and do not change with the iteration of the personalized recommendation list, and the data elements displayed by the universal popularity degradation data change with the change of the conventional iteration, that is: through the unique and unchangeable user virtual identification, the general heat degradation data which is changed along with the change of the conventional iteration can be conveniently obtained, and the obtained data is accurate and reliable. Therefore, the data acquisition mode is simple and flexible.
On the basis of the embodiment shown in fig. 1, in an embodiment of the present invention, after storing the general hotlist data, the method further includes: and feeding back the stored general popularity list data to the user side. As shown in FIG. 2, the universal heat list data is stored in a destaging Redis (i.e., database), and the user side can easily and conveniently call from the destaging Redis to the universal heat list data at any time.
In an embodiment of the present invention, the data obtaining request further includes a user real identifier, and the method further includes: if the user personalized list data are judged to be acquired according to the data type information, calling the user personalized list data corresponding to the user real identification; and feeding back the user personalized list data to the user side. For example: and when the value of the downloadFlag is false, calling the user personalized list data in a conventional mode.
As shown in fig. 2 to fig. 4, the receiving of the data obtaining request sent by the user side includes: and receiving a data acquisition request sent by a user side through a preset list relying party interface. Taking the example of invoking the universal hotlist data, as shown in figure 2,
in an Api interface (i.e., a list dependent party interface) of the personalized recommendation list, adding a downloadFlag to define whether the current call is to acquire general popularity list data, as shown in fig. 2, if the downloadFlag is true, indicating that the general popularity list data is currently called, and storing the downgraded data of the general city dimension into a downgrade redis after taking the downgraded data of the general city dimension through the user virtual identifier UUID.
In this example, invoking general hotlist data corresponding to the user virtual identification includes: obtaining a general popularity list data recommendation ID according to the user virtual identification; and recommending the ID according to the general popularity list data, and obtaining the general popularity list data through a recommendation list service party. That is to say, the downgraded data download flag = true is introduced, the agreed user virtual identifier UUID is input, at this time, the general popularity list data recommendation ID of the general popularity is returned, and each recommendation list service party splices the detail information according to the general popularity list data recommendation ID to obtain general popularity list data and returns the general popularity list data to the personalized recommendation list Api interface. The personalized recommendation list Api interface writes data into the downgraded Redis.
In this example, the data acquisition request sent by the receiving user side is triggered autonomously by the user side, or triggered periodically by the user side. That is, the data acquisition request may be triggered by the user autonomously or at a preset script update interval. The time interval may be determined by the characteristics of the service attribute itself, and may be on the hour level or on the day level.
Taking the calling of the user personalized list data as an example, as shown in fig. 3, if the downloadFlag is false, it indicates that the calling is a calling of a common personalized recommendation list (i.e., calling the user personalized list data), and transmits the real UUID of the user to the personalized recommendation list Api interface, so as to obtain the real user personalized list data of the user, and returns the real user personalized list data to the user. That is, when the user normally accesses, the user personalized list data based on the user history figure is acquired.
In an embodiment of the present invention, if the user personalized list data corresponding to the user real identifier is called abnormally, the stored general popularity list data is fed back to the user side. As shown in fig. 4, if the calling of the user personalized list data corresponding to the user real identifier is abnormal, the general popularity list data is returned to the user. That is to say, when the personalized call of the user is abnormal, the degraded data is called, and the non-personalized general popularity list data is returned to the user, so that the browsing experience of the user can be ensured under the condition of abnormal call.
Fig. 5 is a block diagram showing the configuration of a data acquisition apparatus according to an embodiment of the present invention. As shown in fig. 5, the apparatus for acquiring data according to an embodiment of the present invention includes: an interface module 510, a determination module 520, and a recommendation module 530. Wherein:
an interface module 510, configured to receive a data obtaining request sent by a user side, where the data obtaining request includes obtained data type information and a preset user virtual identifier;
a judging module 520, configured to judge whether to acquire general popularity list data according to the data type information;
a recommending module 530, configured to, when the determining module determines that the data type information is the general popularity list data, invoke the general popularity list data corresponding to the user virtual identifier, and store the general popularity list data in a preset database, where different user virtual identifiers correspond to different general popularity list data.
In an embodiment of the present invention, the recommending module 530 is further configured to:
after storing the general popularity list data, feeding back the stored general popularity list data to the user side.
In an embodiment of the present invention, the data obtaining request further includes a user real identifier, and the recommending module 530 is further configured to:
if the user personalized list data is judged to be acquired according to the data type information, calling the user personalized list data corresponding to the user real identification;
and feeding back the user personalized list data to the user side.
In one embodiment of the present invention, the recommendation module 530 is further configured to: and if the user personalized list data corresponding to the user real identification is called to be abnormal, the stored general popularity list data is fed back to the user side.
In an embodiment of the present invention, the interface module 510 is configured to: and receiving the data acquisition request sent by the user side through a preset list relying party interface.
In one embodiment of the present invention, the recommending module 530 is used for:
obtaining a general popularity list data recommendation ID according to the user virtual identification;
and recommending the ID according to the general popularity list data, and obtaining the general popularity list data through a recommendation list service party.
In an embodiment of the present invention, the data obtaining request sent by the receiving user end is triggered autonomously by the user end, or triggered periodically by the user end.
According to the data acquisition device provided by the embodiment of the invention, the universal hot list data can be acquired by multiplexing the existing data docking system without using an additional independent degradation system which runs through the whole process, so that the construction and maintenance costs of the universal degradation data (namely the universal hot list data) are reduced; in addition, the virtual identifiers of the users at different user terminals are unique and do not change with the iteration of the personalized recommendation list, and the data elements displayed by the universal popularity degradation data change with the change of the conventional iteration, that is: through the unique and unchangeable user virtual identification, the general heat degradation data which are changed along with the change of the conventional iteration can be conveniently obtained, and the obtained data are accurate and reliable. Therefore, the data acquisition mode is simple and flexible.
In addition, a specific implementation manner of the data acquisition apparatus according to the embodiment of the present invention is similar to that of the data acquisition method according to the embodiment of the present invention, and please refer to the description of the method part specifically, and details are not repeated here in order to reduce redundancy.
In an embodiment of the present invention, a specific implementation manner of an electronic device capable of implementing all steps in the data acquisition method in the foregoing embodiment is provided, and referring to fig. 6, the electronic device specifically includes the following contents:
a processor (processor) 601, a memory (memory) 602, a communication Interface (Communications Interface) 603, and a bus 604;
the processor 601, the memory 602 and the communication interface 603 complete mutual communication through the bus 604; the communication interface 603 is used for implementing information transmission between the server and the client;
the processor 601 is configured to call the computer program in the memory 602, and the processor implements all the steps in the above embodiments when executing the computer program, for example, the processor implements the following steps when executing the computer program: receiving a data acquisition request sent by a user side, wherein the data acquisition request comprises acquired data type information and a preset user virtual identifier; judging whether to acquire general popularity list data or not according to the data type information; if yes, calling general popularity list data corresponding to the user virtual identification, and storing the general popularity list data, wherein different user virtual identifications correspond to different general popularity list data.
An embodiment of the present invention provides a computer-readable storage medium capable of implementing all the steps in the data acquisition method of the above embodiment, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the computer program implements all the steps of the above embodiment, for example, when the processor executes the computer program, the processor implements the following steps: receiving a data acquisition request sent by a user side, wherein the data acquisition request comprises acquired data type information and a preset user virtual identifier; judging whether to acquire general popularity list data or not according to the data type information; if yes, calling general popularity list data corresponding to the user virtual identification, and storing the general popularity list data, wherein different user virtual identifications correspond to different general popularity list data.
In addition, the logic instructions in the memory may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention or a part thereof which substantially contributes to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. Based on such understanding, the above technical solutions may be essentially or partially implemented in the form of software products, which may be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and include instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the index monitoring method according to the embodiments or some parts of the embodiments.
Furthermore, in the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Moreover, various embodiments or examples and features of various embodiments or examples described in this specification can be combined and combined by one skilled in the art without being mutually inconsistent.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (9)
1. A method for acquiring data, comprising:
receiving a data acquisition request sent by a user side, wherein the data acquisition request comprises acquired data type information and a preset user virtual identifier;
judging whether to acquire general popularity list data or not according to the data type information;
if yes, calling general popularity list data corresponding to the user virtual identification, and storing the general popularity list data, wherein different user virtual identifications correspond to different general popularity list data;
the invoking general popularity list data corresponding to the user virtual identification comprises:
obtaining a general popularity list data recommendation ID according to the user virtual identification;
and recommending the ID according to the general popularity list data, and obtaining the general popularity list data through a recommendation list service party.
2. The method for acquiring data according to claim 1, further comprising, after storing the general hotlist data: and feeding back the stored general popularity list data to the user side.
3. The method for acquiring data according to claim 1, wherein the data acquisition request further includes a user real identifier, and the method further comprises:
if the user personalized list data are judged to be acquired according to the data type information, calling the user personalized list data corresponding to the user real identification;
and feeding back the user personalized list data to the user side.
4. The method for acquiring data according to claim 3, further comprising: and if the user personalized list data corresponding to the user real identification is called to be abnormal, feeding back the stored general popularity list data to the user side.
5. The method according to any one of claims 1 to 4, wherein the receiving a data acquisition request sent by a user side includes: and receiving the data acquisition request sent by the user side through a preset list relying party interface.
6. The method according to claim 1, wherein the data acquisition request sent by the receiving user end is triggered autonomously by the user end or periodically by the user end.
7. An apparatus for acquiring data, comprising:
the system comprises an interface module, a data acquisition module and a data processing module, wherein the interface module is used for receiving a data acquisition request sent by a user side, and the data acquisition request comprises acquired data type information and a preset user virtual identifier;
the judging module is used for judging whether to acquire the general popularity list data according to the data type information;
the recommendation module is used for calling the general heat list data corresponding to the user virtual identification and storing the general heat list data in a preset database when the judgment module judges that the data type information is that the general heat list data is acquired, wherein different user virtual identifications correspond to different general heat list data;
the recommending module is specifically used for obtaining a general popularity list data recommending ID according to the user virtual identification; and recommending the ID according to the general popularity list data, and obtaining the general popularity list data through a recommendation list service party.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method of acquiring data according to any one of claims 1 to 6 when executing the program.
9. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, carries out the steps of the acquisition method of data according to any one of claims 1 to 6.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101175247A (en) * | 2007-09-28 | 2008-05-07 | 中兴通讯股份有限公司 | Method for centralized storing and using user data |
| CN104168123A (en) * | 2014-07-26 | 2014-11-26 | 珠海市君天电子科技有限公司 | Data push method, data server, client and data push system |
| CN109150983A (en) * | 2018-07-27 | 2019-01-04 | 腾讯科技（深圳）有限公司 | The control method and device of control method and device, data recommendation that front end is shown |
| CN109299997A (en) * | 2018-09-03 | 2019-02-01 | 中国平安人寿保险股份有限公司 | Products Show method, apparatus and computer readable storage medium |
| CN109614301A (en) * | 2018-11-19 | 2019-04-12 | 微梦创科网络科技（中国）有限公司 | A kind of appraisal procedure and device of information |
| CN109657434A (en) * | 2018-12-18 | 2019-04-19 | 浙江口碑网络技术有限公司 | Application access method and device |
| CN111125497A (en) * | 2018-10-29 | 2020-05-08 | 北京国双科技有限公司 | Information recommendation method, device, processor and storage medium |
| CN111651667A (en) * | 2020-04-30 | 2020-09-11 | 中国平安财产保险股份有限公司 | Data pushing and shunting control method and device and computer readable storage medium |
-
2020
- 2020-10-30 CN CN202011197825.9A patent/CN112487261B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101175247A (en) * | 2007-09-28 | 2008-05-07 | 中兴通讯股份有限公司 | Method for centralized storing and using user data |
| CN104168123A (en) * | 2014-07-26 | 2014-11-26 | 珠海市君天电子科技有限公司 | Data push method, data server, client and data push system |
| CN109150983A (en) * | 2018-07-27 | 2019-01-04 | 腾讯科技（深圳）有限公司 | The control method and device of control method and device, data recommendation that front end is shown |
| CN109299997A (en) * | 2018-09-03 | 2019-02-01 | 中国平安人寿保险股份有限公司 | Products Show method, apparatus and computer readable storage medium |
| CN111125497A (en) * | 2018-10-29 | 2020-05-08 | 北京国双科技有限公司 | Information recommendation method, device, processor and storage medium |
| CN109614301A (en) * | 2018-11-19 | 2019-04-12 | 微梦创科网络科技（中国）有限公司 | A kind of appraisal procedure and device of information |
| CN109657434A (en) * | 2018-12-18 | 2019-04-19 | 浙江口碑网络技术有限公司 | Application access method and device |
| CN111651667A (en) * | 2020-04-30 | 2020-09-11 | 中国平安财产保险股份有限公司 | Data pushing and shunting control method and device and computer readable storage medium |
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