CN112559888A - Recommended content tracing method and system, electronic device and readable storage medium - Google Patents
Recommended content tracing method and system, electronic device and readable storage medium Download PDFInfo
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- 238000004891 communication Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000012163 sequencing technique Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 238000013024 troubleshooting Methods 0.000 description 3
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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Abstract
The invention discloses a recommended content tracing method, a recommended content tracing system, electronic equipment and a readable storage medium, wherein the method comprises the following steps: setting a flag mark in each link in the recommended full flow, and further obtaining a flag lookup code table; marking a corresponding flag mark on a material hit by a recommendation request every time a link is triggered along with the recommendation request, and obtaining a corresponding trace _ id after the recommendation request is completed; and acquiring a recommended overall process track of the material according to the trace _ id and flag lookup code table. Through the whole process track of material recommendation, the problems possibly existing in the recommendation process can be quickly positioned, any code does not need to be written, the process is simple, and manpower and material resources are saved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a recommended content tracing method and system based on a recommendation scene, electronic equipment and a readable storage medium.
Background
With the development and popularization of the internet, information resources on the internet expand exponentially, and a recommendation system is generated and gradually applied under the background, so that a plurality of products can recommend interesting contents to users in a targeted manner according to the information of the users, and personalized services are provided for the users.
One complete recommendation in the recommendation system needs to go through: the user request- > preposition rule 1- > preposition rule 2 … - > recall model- > sequencing model- > fine-ranking model- > postposition rule 1- > postposition rule 2- > … - > returns to the user, even in the actual recommendation scene, more complicated than the above description, how to interpret the recommended content in the optimization process of the model or rule, which rules or models the user passes through, whether the recommendation is generated according to the design requirement, and how to quickly locate the generation process of a piece of recommended content, which are the problems that developers or operators are concerned with.
The currently common method for tracing the recommendation process is to add log logs in a recommendation system, analyze the log logs through a log analysis tool, and search for a relevant recommendation path in cooperation with manual work. However, the amount of logs generated by the recommendation system is huge, and an analysis tool needs to be developed separately for analysis, so that the time and labor are consumed.
Disclosure of Invention
Aiming at the technical problems of time and labor consumption in path finding, the invention provides a recommended content tracing method and system based on a recommended scene, an electronic device and a readable storage medium.
In a first aspect, an embodiment of the present application provides a recommended content tracing method based on a recommendation scenario, including:
and a flag setting step: setting a flag mark in each link in the recommended full flow, and further obtaining a flag lookup code table;
flag marking step: the material hit by the recommendation request is marked with the corresponding flag mark along with the link triggered by the recommendation request, and the corresponding trace _ id is obtained after the recommendation request is completed;
a material track obtaining step: and acquiring a recommended overall process track of the material according to the trace _ id and the flag lookup code table.
In the method for tracing the recommended content, in the flag setting step, the flag mark on each link is the only identifier of the current link on the whole recommended chain.
In the method for tracing back recommended content, the flag marking step includes:
a marking step: when a recommendation request sent by a request end arrives, marking the flag mark corresponding to the link on the material every time one link is triggered;
obtaining Trace _ id: and after the recommendation request is completed, generating a corresponding flag track list for each material, and obtaining the trace _ id according to the flag track list.
The method for tracing the recommended content comprises the following steps of:
and returning to the step: returning the trace _ id and the material data to the request end in a one-to-one correspondence manner;
a track obtaining step: and after the request end obtains the corresponding relation between the material and the trace _ id, looking up a code table according to the flag to obtain the recommended overall process track of the material.
In a second aspect, an embodiment of the present application provides a recommendation content tracing system based on a recommendation scenario, including:
a flag setting module: setting a flag mark in each link in the recommended full flow, and further obtaining a flag lookup code table;
a flag marking module: the material hit by the recommendation request is marked with the corresponding flag mark along with the link triggered by the recommendation request, and the corresponding trace _ id is obtained after the recommendation request is completed;
a material track obtaining module: and acquiring a recommended overall process track of the material according to the trace _ id and the flag lookup code table.
In the system for tracing back recommended content, in the flag setting module, the flag mark on each link is the only identifier of the current link on the whole recommended chain.
The above recommended content tracing system, wherein the flag marking module includes:
a marking unit: when a recommendation request sent by a request end arrives, marking the flag mark corresponding to the link on the material every time one link is triggered;
a Trace _ id obtaining unit: and after the recommendation request is completed, generating a corresponding flag track list for each material, and obtaining the trace _ id according to the flag track list.
The above recommended content tracing system, wherein the material trajectory obtaining module includes:
a return unit: returning the trace _ id and the material data to the request end in a one-to-one correspondence manner;
a trajectory obtaining unit: and after the request end obtains the corresponding relation between the material and the trace _ id, looking up a code table according to the flag to obtain the recommended overall process track of the material.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the processor implements the recommended content tracing method according to the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program implements the recommended content tracing method according to the first aspect.
Compared with the prior art, the invention has the advantages and positive effects that:
1. for the recommended materials in the recommendation system, the invention can quickly know the overall recommendation track according to the trace _ id, such as which rules are passed, which used way recalls the model, the sequencing model and the like, and provides reference for troubleshooting problems and optimizing the rules and the models.
2. According to the method, the possible problems in the recommendation process can be quickly positioned by obtaining the whole process track of material recommendation, no code needs to be written, the process is simple, and manpower and material resources are saved.
Drawings
FIG. 1 is a schematic diagram illustrating steps of a recommended content tracing method based on a recommended scene according to the present invention;
FIG. 2 is a flowchart based on step S2 in FIG. 1 according to the present invention;
FIG. 3 is a flowchart based on step S3 in FIG. 1 according to the present invention;
fig. 4 is a schematic flowchart of an embodiment of a recommended content tracing method based on a recommended scene according to the present invention;
FIG. 5 is a block diagram of a referral content traceability system based on a referral scenario according to the present invention;
fig. 6 is a block diagram of a computer device according to an embodiment of the present application.
Wherein the reference numerals are:
11. a flag setting module; 12. a flag module; 121. a marking unit; 122. a Trace _ id obtaining unit; 13. a material track obtaining module; 131. a return unit; 132. a trajectory obtaining unit; 81. a processor; 82. a memory; 83. a communication interface; 80. a bus.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application.
It is obvious that the drawings in the following description are only examples or embodiments of the present application, and that it is also possible for a person skilled in the art to apply the present application to other similar contexts on the basis of these drawings without inventive effort. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Reference to "connected," "coupled," and the like in this application is not intended to be limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The term "plurality" as referred to herein means two or more. "and/or" describes an association relationship of associated objects, meaning that three relationships may exist, for example, "A and/or B" may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. Reference herein to the terms "first," "second," "third," and the like, are merely to distinguish similar objects and do not denote a particular ordering for the objects.
The present invention is described in detail with reference to the embodiments shown in the drawings, but it should be understood that these embodiments are not intended to limit the present invention, and those skilled in the art should understand that functional, methodological, or structural equivalents or substitutions made by these embodiments are within the scope of the present invention.
Before describing in detail the various embodiments of the present invention, the core inventive concepts of the present invention are summarized and described in detail by the following several embodiments.
According to the invention, the Trace _ id of the material is formed by marking the flag mark of each link in the recommendation process on the recommended material, so that the overall recommendation track of the material can be known according to the Trace _ id of the recommended material, and possible problems in the recommendation process can be quickly positioned.
The first embodiment is as follows:
referring to fig. 1, fig. 1 is a schematic diagram of a recommended content tracing method based on a recommended scene provided by the present invention. As shown in fig. 1, this embodiment discloses a specific implementation of a recommendation content tracing method (hereinafter referred to as "method") based on a recommendation scenario.
Specifically, the method disclosed in this embodiment mainly includes the following steps:
step S1: and setting a flag mark in each link in the recommended full flow, and further obtaining a flag lookup code table.
Specifically, the flag on each of the links is the only identification of the current link across the recommended links, including but not limited to: pre-rules, recall models, ranking models, fine ranking models, post-rules, and the like.
Then, referring to fig. 2, step S2 is performed: and marking the corresponding flag mark on the material hit by the recommendation request along with the link triggered by the recommendation request, and obtaining the corresponding trace _ id after the recommendation request is completed.
Wherein, step S2 specifically includes the following contents:
step S21: when a recommendation request sent by a request end arrives, marking the flag mark corresponding to the link on the material every time one link is triggered;
step S22: and after the recommendation request is completed, generating a corresponding flag track list for each material, and obtaining the trace _ id according to the flag track list.
Specifically, a request end sends a recommendation request, the recommendation request sequentially reaches links such as a front rule, a recall model, a sorting model, a fine ranking model and a rear rule, when one link is reached, a flag mark of the current link is marked on a material hit by the recommendation request, and a sequential flag track list is formed after the recommendation request is completed. The track list is presented in a readable form, for example, json format, which is trace _ id, where trace _ id is a unique identifier of each action that can be used for locating the flow analysis.
Then, referring to fig. 3, step S3 is performed: and acquiring a recommended overall process track of the material according to the trace _ id and the flag lookup code table.
Wherein, step S3 specifically includes the following contents:
step S31: returning the trace _ id and the material data to the request end in a one-to-one correspondence manner;
step S32: and after the request end obtains the corresponding relation between the material and the trace _ id, looking up a code table according to the flag to obtain the recommended overall process track of the material.
Please refer to fig. 4. Fig. 4 is a schematic flowchart of an embodiment of a recommended content tracing method based on a recommended scene, which is provided by the present invention, and with reference to fig. 4, an application flow of the method is specifically described as follows:
1. a flag is set in each link (rule/model recall) in the recommended whole flow, and the flag can uniquely identify the current link in the whole recommended chain, so that a consultable code table is finally formed.
2. When a recommendation request arrives, the corresponding flag mark is marked on the material hit by the request every time a link is triggered.
3. After the whole request is completed, a flag track list corresponding to each material in sequence is formed, and then the track list is returned to the request end in a readable manner (such as json format, which is temporarily called trace _ id) in one-to-one correspondence with the material data.
4. After the request end obtains the corresponding relation between the material and the trace _ id, the code table can be consulted according to the flag in the trace _ id, and the recommended overall process track of the material is obtained.
Therefore, the recommended materials in the recommendation system can be quickly known as the whole recommendation track, the rules which the recommended materials pass through, the used recalls the used path, the sequencing model and the like according to the trace _ id of the recommended materials, and reference is provided for troubleshooting and optimizing the rules and the models.
Example two:
in combination with the recommendation content tracing method based on the recommendation scene disclosed in the first embodiment, the first embodiment discloses a specific implementation example of a system (hereinafter referred to as "system") based on the recommendation content tracing method in the recommendation scene.
Referring to fig. 5, the system includes:
the flag setting module 11: setting a flag mark in each link in the recommended full flow, and further obtaining a flag lookup code table;
flag module 12: and marking the corresponding flag mark on the material hit by the recommendation request along with the link triggered by the recommendation request, and obtaining the corresponding trace _ id after the recommendation request is completed.
The material trajectory obtaining module 13: and acquiring a recommended overall process track of the material according to the trace _ id and the flag lookup code table.
Specifically, in the flag setting module 11, the flag of each link is a unique identifier of the current link on the whole recommended chain.
Specifically, the flag module 12 includes:
the marking unit 121: when a recommendation request sent by a request end arrives, marking the flag mark corresponding to the link on the material every time one link is triggered;
trace _ id obtaining unit 122: and after the recommendation request is completed, generating a corresponding flag track list for each material, and obtaining the trace _ id according to the flag track list.
Specifically, the material trajectory obtaining module 13 includes:
the returning unit 131: returning the trace _ id and the material data to the request end in a one-to-one correspondence manner;
the trajectory obtaining unit 132: and after the request end obtains the corresponding relation between the material and the trace _ id, looking up a code table according to the flag to obtain the recommended overall process track of the material.
For reference, the description of the first embodiment is given, and details are not repeated herein, so that the recommendation content tracing system based on the recommendation scene and the technical solution of the same parts in the recommendation content tracing method based on the recommendation scene disclosed in the first embodiment are disclosed.
Example three:
referring to fig. 6, the present embodiment discloses an embodiment of a computer device. The computer device may comprise a processor 81 and a memory 82 in which computer program instructions are stored.
Specifically, the processor 81 may include a Central Processing Unit (CPU), or A Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
The memory 82 may be used to store or cache various data files for processing and/or communication use, as well as possible computer program instructions executed by the processor 81.
The processor 81 reads and executes the computer program instructions stored in the memory 82 to implement any one of the above-described embodiments of the method for tracing back recommended content based on a recommended scene.
In some of these embodiments, the computer device may also include a communication interface 83 and a bus 80. As shown in fig. 6, the processor 81, the memory 82, and the communication interface 83 are connected via the bus 80 to complete communication therebetween.
The communication interface 83 is used for implementing communication between modules, devices, units and/or equipment in the embodiment of the present application. The communication port 83 may also be implemented with other components such as: the data communication is carried out among external equipment, image/data acquisition equipment, a database, external storage, an image/data processing workstation and the like.
In addition, in combination with the recommendation content tracing method based on the recommendation scene in the foregoing embodiment, the embodiment of the present application may be implemented by providing a computer-readable storage medium. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any of the above embodiments of a recommendation content tracing method based on a recommendation scenario.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
In summary, the beneficial effects of the invention are that, for the recommended materials in the recommendation system, the invention can quickly know the overall recommendation track according to the trace _ id thereof, such as which rules are passed, which used recall model, sequencing model, and the like, and provide reference for troubleshooting problems and optimizing rules and models. By obtaining the whole process track of material recommendation, the problems possibly existing in the recommendation process can be quickly positioned, no code needs to be written, the process is simple, and manpower and material resources are saved.
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. A recommended content tracing method is characterized by comprising the following steps based on a recommended scene:
and a flag setting step: setting a flag mark in each link in the recommended full flow, and further obtaining a flag lookup code table;
flag marking step: the material hit by the recommendation request is marked with the corresponding flag mark along with the link triggered by the recommendation request, and the corresponding trace _ id is obtained after the recommendation request is completed;
a material track obtaining step: and acquiring a recommended overall process track of the material according to the trace _ id and the flag lookup code table.
2. The method for tracing recommended content according to claim 1, wherein in the flag setting step, the flag of each link is a unique identifier of the current link in the whole recommended chain.
3. The recommended content tracing method according to claim 1, wherein said flag marking step comprises:
a marking step: when a recommendation request sent by a request end arrives, marking the flag mark corresponding to the link on the material every time one link is triggered;
obtaining Trace _ id: and after the recommendation request is completed, generating a corresponding flag track list for each material, and obtaining the trace _ id according to the flag track list.
4. The recommended content tracing method according to claim 3, wherein the material trajectory obtaining step includes:
and returning to the step: returning the trace _ id and the material data to the request end in a one-to-one correspondence manner;
a track obtaining step: and after the request end obtains the corresponding relation between the material and the trace _ id, looking up a code table according to the flag to obtain the recommended overall process track of the material.
5. A recommended content tracing system, based on a recommended scenario, comprising:
a flag setting module: setting a flag mark in each link in the recommended full flow, and further obtaining a flag lookup code table;
a flag marking module: the material hit by the recommendation request is marked with the corresponding flag mark along with the link triggered by the recommendation request, and the corresponding trace _ id is obtained after the recommendation request is completed;
a material track obtaining module: and acquiring a recommended overall process track of the material according to the trace _ id and the flag lookup code table.
6. The recommended content traceability system of claim 5, wherein in the flag setting module, the flag of each link is a unique identifier of the current link in the whole recommended chain.
7. The recommended content tracking system according to claim 5, wherein the flag module comprises:
a marking unit: when a recommendation request sent by a request end arrives, marking the flag mark corresponding to the link on the material every time one link is triggered;
a Trace _ id obtaining unit: and after the recommendation request is completed, generating a corresponding flag track list for each material, and obtaining the trace _ id according to the flag track list.
8. The recommended content traceability system of claim 7, wherein the material trajectory obtaining module comprises:
a return unit: returning the trace _ id and the material data to the request end in a one-to-one correspondence manner;
a trajectory obtaining unit: and after the request end obtains the corresponding relation between the material and the trace _ id, looking up a code table according to the flag to obtain the recommended overall process track of the material.
9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the recommended content tracing method according to any one of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium on which a computer program is stored, characterized in that the program, when executed by a processor, implements the recommended content tracing method according to any one of claims 1 to 4.
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