CN116049552A - Recommendation processing method and device - Google Patents

Abstract

The embodiment of the specification provides a recommendation processing method and device, wherein the recommendation processing method comprises the following steps: acquiring an access instruction of an access user for triggering service content recommendation of an application program; detecting whether a recommendation record for recommending service contents based on the service sequence of the access user exists or not; the service sequence is determined in a sequence pool according to access parameters obtained by carrying out access parameter prediction on the access user; if yes, determining a service to be recommended in the service sequence according to the recommendation record; recommending the service content of the service to be recommended to the access user in the application program, and responding to the access instruction.

Description

Recommendation processing method and device

Technical Field

The present document relates to the field of data processing technologies, and in particular, to a recommendation processing method and device.

Background

With the continuous development and popularization of internet technology, the internet brings a large amount of information to users, so that the demands of the users on the information are met, but with the great increase of the information amount, how to enable the users to obtain required contents from a large amount of information, or how to enable the contents recommended to the users to obtain higher user conversion, so that the higher users are kept active, becomes the important importance of the current information recommendation.

Disclosure of Invention

One or more embodiments of the present specification provide a recommendation processing method, including: and acquiring an access instruction of an access user triggering the service content recommendation of the application program. Detecting whether a recommendation record for recommending service contents based on the service sequence of the access user exists or not; if yes, determining the service to be recommended in the service sequence according to the recommendation record. And the service sequence is determined in a sequence pool according to the access parameters obtained by carrying out access parameter prediction on the access user. Recommending the service content of the service to be recommended to the access user in the application program, and responding to the access instruction.

One or more embodiments of the present specification provide a recommendation processing apparatus including: and the access instruction acquisition module is configured to acquire an access instruction of an access user triggering service content recommendation of the application program. A recommended record detection module configured to detect whether a recommended record for recommending service content based on a service sequence of the access user exists; if yes, executing the service determining module. And the service sequence is determined in a sequence pool according to the access parameters obtained by carrying out access parameter prediction on the access user. The service determining module is configured to determine a service to be recommended in the service sequence according to the recommendation record. And the service content recommending module is configured to recommend the service content of the service to be recommended to the access user in the application program, and respond to the access instruction.

One or more embodiments of the present specification provide a recommendation processing apparatus including: a processor; and a memory configured to store computer-executable instructions that, when executed, cause the processor to: and acquiring an access instruction of an access user triggering the service content recommendation of the application program. Detecting whether a recommendation record for recommending service contents based on the service sequence of the access user exists or not; if yes, determining the service to be recommended in the service sequence according to the recommendation record. And the service sequence is determined in a sequence pool according to the access parameters obtained by carrying out access parameter prediction on the access user. Recommending the service content of the service to be recommended to the access user in the application program, and responding to the access instruction.

One or more embodiments of the present specification provide a storage medium storing computer-executable instructions that, when executed by a processor, implement the following: and acquiring an access instruction of an access user triggering the service content recommendation of the application program. Detecting whether a recommendation record for recommending service contents based on the service sequence of the access user exists or not; if yes, determining the service to be recommended in the service sequence according to the recommendation record. And the service sequence is determined in a sequence pool according to the access parameters obtained by carrying out access parameter prediction on the access user. Recommending the service content of the service to be recommended to the access user in the application program, and responding to the access instruction.

Drawings

For a clearer description of one or more embodiments of the present description or of the solutions of the prior art, the drawings that are needed in the description of the embodiments or of the prior art will be briefly described below, it being obvious that the drawings in the description that follow are only some of the embodiments described in the present description, from which other drawings can be obtained, without inventive faculty, for a person skilled in the art;

FIG. 1 is a process flow diagram of a recommendation processing method provided in one or more embodiments of the present disclosure;

FIG. 2 is a flowchart illustrating a recommendation processing method applied to an intra-application recommendation scenario according to one or more embodiments of the present disclosure;

FIG. 3 is a schematic diagram of a recommendation processing apparatus according to one or more embodiments of the present disclosure;

fig. 4 is a schematic structural diagram of a recommendation processing apparatus according to one or more embodiments of the present disclosure.

Detailed Description

In order to enable a person skilled in the art to better understand the technical solutions in one or more embodiments of the present specification, the technical solutions in one or more embodiments of the present specification will be clearly and completely described below with reference to the drawings in one or more embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one or more embodiments of the present disclosure without inventive effort, are intended to be within the scope of the present disclosure.

The embodiment of the recommended processing method provided in the specification is as follows:

according to the recommendation processing method, if the service content recommendation of the application program is triggered in the process of accessing the application program by the user, whether the service content recommendation is performed to the access user in the application program based on the service sequence of the access user is detected by detecting whether the recommendation record of the service content recommendation is performed to the access user based on the service sequence of the access user, the corresponding service of the service content recommendation is determined to the access user in the service sequence based on the service content recommendation to the access user, and finally the service content of the corresponding service is performed to the access user in the application program, so that the pertinence of the service content recommendation in the application program is improved, the user conversion of the application program is improved based on the more pointed service content recommendation, and further the user retention of the application program is facilitated.

Step S102, an access instruction of an access user triggering service content recommendation of the application program is obtained.

The service content recommendation in this embodiment refers to recommending service content to an access user in an application program. Alternatively, the services herein include subroutine services provided by subroutines of the application. The subroutine means a program function module or an application component mounted on the application program, or a program function module or an application component mounted by the application program. From a service perspective, the subroutine has the ability to independently provide self-closing services. In addition, the service may be a function module of the application program or a corresponding service provided by the service module.

When the method is implemented, an access user submits instructions aiming at the currently accessed application program in the process of accessing the application program, the application program can perform corresponding processing aiming at different instructions, and if the instructions submitted by the access user in the process of accessing the application program meet specific conditions, the specific conditions are preset conditions for recommending service contents, the conditions indicate that the access user triggers the service content recommendation of the application program in the process of accessing the application program, and then the access instructions for triggering the service content recommendation of the application program at present are obtained.

Step S104, detecting whether a recommendation record for recommending the service content based on the service sequence of the access user exists.

The service sequence in this embodiment refers to a sequence formed by one or more services, where each service in the service sequence has a respective recommendation level, and the recommendation level is used to determine a recommendation order of each service in a process of recommending service content. Optionally, the services in the service sequence include a subroutine service provided by a subroutine of the application.

In order to enable an access user to think about using a corresponding service of an application program when actual demands exist, the access viscosity of the access user to the service in the application program is improved, and service recommendation is performed in a circulating mode to strengthen the cognition of the access user to the service, so that the access user can think about using the corresponding service of the application program when the actual demands are met, and further the service recommendation effect of the application program is improved.

Optionally, each service in the service sequence performs service content recommendation according to respective recommendation orders, and each time the service content recommendation of the application program is triggered, the service content recommendation of one service is performed in the application program; and after the service content is recommended for the service with the last recommended position in the service sequence, returning to the service with the first recommended position in the service sequence for recommending the service content.

For example, a service sequence consisting of 3 services, namely self-service washing service, mobile phone recovery service and life payment service, is that the recommended ranking is from high to low: in the process of recommending service contents, firstly recommending service contents of self-service washing service to an access user, secondly recommending service contents of mobile phone recovery service to the access user, and finally recommending service contents of life payment service to the access user; and after the service content of the life payment service is recommended next time, returning the self-service washing service in a circulating mode to perform the next round of recommendation.

In the implementation, in the process of detecting whether a recommendation record for recommending service content based on the service sequence of the access user exists, if so, the following step S106 is executed, wherein the presence indicates that service content recommendation has been performed in the application program based on the service sequence;

if the service sequence is not available, indicating that service content recommendation has not been performed in the application program based on the service sequence, and for this, in an optional implementation manner provided by this embodiment, selecting a first service with a recommendation level being the first in the service sequence; recommending service content of the first service to the access user in the application program, and responding to the access instruction.

In this embodiment, in order to improve pertinence of service recommendation and further improve user access viscosity and user conversion of an application program, optionally, the service sequence is determined in a sequence pool according to an access parameter obtained by performing access parameter prediction on the access user.

The access parameter refers to a relevant parameter for evaluating the probability of the access user accessing the recommended service content after the service content recommendation is performed to the access user. Optionally, the access parameters include at least one of the following: the user conversion probability of the accessing user accessing the subprogram corresponding to the service content is accessed, and the user retention probability of the accessing user accessing the subprogram corresponding to the service content according to the service policy is accessed.

In practical application, in the process of predicting the access parameter, in order to make the degree of coincidence between the access parameter obtained by prediction and the actual access behavior of the access user higher, and further make the service sequence determined according to the access parameter more conform to the recommended requirement of the access user, in an optional implementation manner provided in this embodiment, the access parameter prediction includes:

determining a type label of the access user, and determining a candidate service sequence corresponding to the type label in the sequence pool;

and predicting access parameters of the access user for accessing each service in the candidate service sequence based on the user data of the access user.

Specifically, different candidate service sequences are set for different types of tags, one or more candidate service queues set for one type of tag can be set, and in the setting process, services contained in the candidate service sequences corresponding to the same type of tag can be set to be the same, and under the condition that services contained in a plurality of candidate service sequences corresponding to the same type of tag are the same, recommended orders of services in the candidate service sequences corresponding to the same type of tag are different.

For example, the services in the candidate service sequence corresponding to the type tag being white collar tag are: the self-service washing service, the mobile phone recycling service and the life payment service are 3 services, and 6 candidate service sequences can be formed according to different recommended orders;

the type label is the service in the candidate service sequence corresponding to the student label, and the service is as follows: the self-service washing service, the second-hand mobile phone service and the earning change service can form 6 candidate service sequences according to different recommended orders;

the type label is the service in the candidate service sequence corresponding to the old people label, and the service is as follows: the 24 candidate service sequences can be formed according to different recommended orders by the retirement checking service, the weather service, the financial service and the pet raising service.

Further, in order to further improve the matching degree between the service sequence determined according to the access parameter and the recommended requirement of the access user on the basis of the access parameter prediction to obtain the access parameter, in an optional implementation manner provided in this embodiment, the service sequence is determined by adopting the following manner:

calculating recommendation scores of the candidate service sequences according to the recommendation orders of the services in the candidate service sequences and the access parameters;

and screening the candidate service sequences according to the recommendation scores to obtain the service sequences.

For example, the type tag of the access user A is a student, a plurality of subsequent service sequences matched with the type tag of the student are selected from a sequence pool formed by a plurality of service sequences, and then the conversion probability and/or the retention probability of the access user A for each service in each candidate service sequence are predicted according to the historical access behavior data of the access user A; on the basis of calculating the conversion probability and/or retention probability of each service in each candidate service sequence, calculating the recommendation score of each candidate service sequence according to the conversion probability and/or retention probability of each service and the recommendation rank of each service, and finally selecting the candidate service sequence with the highest recommendation score as the service sequence;

specifically, in the process of calculating the recommendation score according to the conversion probability and/or retention probability of each service and the recommendation level of each service, for each candidate service sequence, calculating a weighted sum according to the weight corresponding to the conversion probability and the recommendation level of each service in the candidate service sequence, and taking the weighted sum as the recommendation score of the candidate service sequence; or, calculating a weighted sum according to the retention probability of each service in the candidate service sequence and the weight corresponding to the recommended ranking as the recommended score of the candidate service sequence; still alternatively, the weighted sum of the transition probability and the weight and the weighted sum of the retention probability and the weight are summed as the recommendation score for the candidate service sequence.

And step S106, determining the service to be recommended in the service sequence according to the recommendation record.

In the embodiment, the service to be recommended in the service sequence is determined from the recommendation record when the presence of the recommendation record of the service sequence of the access user is detected, that is, when the service content recommendation has been previously performed in the application program based on the service sequence.

In an optional implementation manner provided in this embodiment, determining, according to the recommendation record, a service to be recommended in the service sequence includes: determining a service with the recommended bit behind the service in the service sequence as the service to be recommended according to the service corresponding to the recommended record; therefore, the service content of each service in the service sequence is recommended in sequence.

In another optional implementation manner provided in this embodiment, determining, according to the recommendation record, a service to be recommended in the service sequence includes:

and predicting access parameters of each service in the service sequence according to the access data carried in the recommendation record, and determining the service to be recommended according to the obtained access parameters.

In order to enable the service to be recommended for recommending the service content to the access user to be more matched with the current requirement of the access user for accessing the application program, particularly, in the process of determining the service to be recommended, the access parameters of the access user for each service in the service sequence can be predicted from the access data carried in the recommendation record, so that the service to be recommended determined according to the access parameters obtained through prediction can be more in line with the service to be recommended of the access requirement of the access user.

And step S108, recommending the service content of the service to be recommended to the access user in the application program so as to respond to the access instruction.

In the implementation, after determining a service to be recommended for recommending service content to an access user, recommending the service content of the service to be recommended to the access user in the application program so as to respond to the access instruction; in the recommendation process, the service content of the service to be recommended can be recommended in a mode of configuring the service content of the service to be recommended on an access page of the application program, so that an access user can intuitively perceive the service content to be recommended in the process of accessing the application program.

In order to facilitate the access of the service to be recommended by the access user, in an alternative implementation manner provided in this embodiment, after the application program recommends the service content of the service to be recommended to the access user, if an access instruction for the service content is detected, the application program jumps to a subroutine page of a subroutine corresponding to the service content.

In the specific execution process, after the application program recommends the service content of the service to be recommended to the access user, a recommendation record of the service to be recommended can be generated, and the recommendation record of the service to be recommended is associated to the service sequence, so that the recommendation processing of the corresponding service can be performed on the basis of the currently performed service to be recommended when the service content is recommended to the current access user.

In practical application, in order to further improve accuracy of service content recommendation in a process of accessing an application program by an access user, so as to improve access experience of the access user, and further improve access viscosity of the access user to the application program, in this embodiment, in a process of performing service content recommendation according to a service sequence, a degree of coincidence between the access user and a service in the service sequence can be analyzed from actual access data of the access user, so that the service in the service sequence can be adjusted, and the adjusted service sequence is more coincident with actual access requirements of the access user.

Predicting access parameters of the access user for each service in a candidate service sequence based on actual access data of the access user;

and updating the recommended bit of each service in the service sequence of the access user according to the predicted access parameters, and/or updating one or more services in the service sequence of the access user.

The following describes, with reference to fig. 2, a further explanation of a recommendation processing method provided in this embodiment, taking an application of a recommendation processing method provided in this embodiment in an application recommendation scene as an example, and referring to fig. 2, the recommendation processing method applied to an application recommendation scene specifically includes the following steps.

Step S202, an access instruction of an access user triggering service content recommendation of an application program is obtained.

Step S204, query access user' S service sequence.

Wherein the service sequence is composed of sub-program services provided by at least one sub-program within the application program.

Step S206, detecting whether a recommendation record for recommending service contents based on the service sequence of the access user exists;

if yes, go to step S208 to step S214;

if not, selecting the sub-program service with the recommended first position in the service sequence, and recommending the service content of the sub-program service to the accessing user in the application program to respond to the accessing instruction.

Step S208, determining the sub-program service to be recommended with the recommended bit behind the previous sub-program service in the service sequence according to the previous sub-program service corresponding to the recommended record.

Step S210, recommending service contents of the sub-program service to be recommended to the access user in the application program, and responding to the access instruction.

Step S212, if an access instruction to the service content is detected, the process jumps to a subroutine page of the subroutine corresponding to the service content.

In step S214, a recommendation record of the service to be recommended is generated, and the generated recommendation record is associated to the service sequence.

An embodiment of a recommendation processing device provided in the present specification is as follows:

in the above-described embodiments, a recommendation processing method and a recommendation processing apparatus corresponding thereto are provided, and the description is given below with reference to the accompanying drawings.

Referring to fig. 3, a schematic diagram of a recommendation processing apparatus provided in this embodiment is shown.

Since the apparatus embodiments correspond to the method embodiments, the description is relatively simple, and the relevant portions should be referred to the corresponding descriptions of the method embodiments provided above. The device embodiments described below are merely illustrative.

The present embodiment provides a recommendation processing apparatus, including:

an access instruction acquisition module 302 configured to acquire an access instruction of an access user triggering a service content recommendation of an application;

a recommendation record detecting module 304 configured to detect whether there is a recommendation record for service content recommendation based on the service sequence of the access user; the service sequence is determined in a sequence pool according to access parameters obtained by carrying out access parameter prediction on the access user;

if yes, executing a service determination module 306; the service determining module is configured to determine a service to be recommended in the service sequence according to the recommendation record;

a service content recommendation module 308 configured to recommend service content of the service to be recommended to the access user within the application program in response to the access instruction.

An embodiment of a recommended processing device provided in the present specification is as follows:

in correspondence to the above-described recommendation processing method, one or more embodiments of the present disclosure further provide a recommendation processing device, based on the same technical concept, for executing the above-provided recommendation processing method, and fig. 4 is a schematic structural diagram of a recommendation processing device provided by one or more embodiments of the present disclosure.

The recommendation processing device provided in this embodiment includes:

as shown in fig. 4, the recommended processing device may have a relatively large difference due to different configurations or performances, and may include one or more processors 401 and a memory 402, where the memory 402 may store one or more storage applications or data. Wherein the memory 402 may be transient storage or persistent storage. The application program stored in the memory 402 may include one or more modules (not shown), each of which may include a series of computer-executable instructions in the recommendation processing device. Still further, the processor 401 may be arranged to communicate with the memory 402 to execute a series of computer executable instructions in the memory 402 on the recommended processing device. The recommendation processing device may also include one or more power sources 403, one or more wired or wireless network interfaces 404, one or more input/output interfaces 405, one or more keyboards 406, and the like.

In one particular embodiment, a recommendation processing device includes a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs may include one or more modules, and each module may include a series of computer executable instructions for the recommendation processing device, and configured to be executed by one or more processors, the one or more programs comprising computer executable instructions for:

acquiring an access instruction of an access user for triggering service content recommendation of an application program;

detecting whether a recommendation record for recommending service contents based on the service sequence of the access user exists or not; the service sequence is determined in a sequence pool according to access parameters obtained by carrying out access parameter prediction on the access user;

if yes, determining a service to be recommended in the service sequence according to the recommendation record;

recommending the service content of the service to be recommended to the access user in the application program, and responding to the access instruction.

An embodiment of a storage medium provided in the present specification is as follows:

in correspondence with the above-described recommended processing method, one or more embodiments of the present specification further provide a storage medium based on the same technical idea.

The storage medium provided in this embodiment is configured to store computer executable instructions that, when executed by a processor, implement the following flow:

acquiring an access instruction of an access user for triggering service content recommendation of an application program;

detecting whether a recommendation record for recommending service contents based on the service sequence of the access user exists or not; the service sequence is determined in a sequence pool according to access parameters obtained by carrying out access parameter prediction on the access user;

if yes, determining a service to be recommended in the service sequence according to the recommendation record;

recommending the service content of the service to be recommended to the access user in the application program, and responding to the access instruction.

It should be noted that, in the present specification, an embodiment of a storage medium and an embodiment of a recommended processing method in the present specification are based on the same inventive concept, so that a specific implementation of the embodiment may refer to implementation of the foregoing corresponding method, and repeated descriptions are omitted.

The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

In the 30 s of the 20 th century, improvements to one technology could clearly be distinguished as improvements in hardware (e.g., improvements to circuit structures such as diodes, transistors, switches, etc.) or software (improvements to the process flow). However, with the development of technology, many improvements of the current method flows can be regarded as direct improvements of hardware circuit structures. Designers almost always obtain corresponding hardware circuit structures by programming improved method flows into hardware circuits. Therefore, an improvement of a method flow cannot be said to be realized by a hardware entity module. For example, a programmable logic device (Programmable Logic Device, PLD) (e.g., field programmable gate array (Field Programmable Gate Array, FPGA)) is an integrated circuit whose logic function is determined by the programming of the device by a user. A designer programs to "integrate" a digital system onto a PLD without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Moreover, nowadays, instead of manually manufacturing integrated circuit chips, such programming is mostly implemented by using "logic compiler" software, which is similar to the software compiler used in program development and writing, and the original code before the compiling is also written in a specific programming language, which is called hardware description language (Hardware Description Language, HDL), but not just one of the hdds, but a plurality of kinds, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), lava, lola, myHDL, PALASM, RHDL (Ruby Hardware Description Language), etc., VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog are currently most commonly used. It will also be apparent to those skilled in the art that a hardware circuit implementing the logic method flow can be readily obtained by merely slightly programming the method flow into an integrated circuit using several of the hardware description languages described above.

The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer readable medium storing computer readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable logic controllers, and embedded microcontrollers, examples of which include, but are not limited to, the following microcontrollers: ARC625D, atmel AT91SAM, microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic of the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller may thus be regarded as a kind of hardware component, and means for performing various functions included therein may also be regarded as structures within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.

The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each unit may be implemented in the same piece or pieces of software and/or hardware when implementing the embodiments of the present specification.

One skilled in the relevant art will recognize that one or more embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, one or more embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present description can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present description is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the specification. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.

One or more embodiments of the present specification may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. One or more embodiments of the specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.

The foregoing description is by way of example only and is not intended to limit the present disclosure. Various modifications and changes may occur to those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. that fall within the spirit and principles of the present document are intended to be included within the scope of the claims of the present document.

Claims (14)

1. A recommendation processing method, comprising:

acquiring an access instruction of an access user for triggering service content recommendation of an application program;

detecting whether a recommendation record for recommending service contents based on the service sequence of the access user exists or not; the service sequence is determined in a sequence pool according to access parameters obtained by carrying out access parameter prediction on the access user;

if yes, determining a service to be recommended in the service sequence according to the recommendation record;

recommending the service content of the service to be recommended to the access user in the application program, and responding to the access instruction.

2. The recommendation processing method according to claim 1, the access parameter prediction comprising:

determining a type label of the access user, and determining a candidate service sequence corresponding to the type label in the sequence pool;

and predicting access parameters of the access user for accessing each service in the candidate service sequence based on the user data of the access user.

3. The recommendation processing method according to claim 2, wherein the service sequence is determined by:

calculating recommendation scores of the candidate service sequences according to the recommendation orders of the services in the candidate service sequences and the access parameters;

and screening the candidate service sequences according to the recommendation scores to obtain the service sequences.

4. The recommendation processing method according to claim 1, wherein if the result of the step of detecting whether there is a recommendation record for service content recommendation based on the service sequence of the access user is no, the following operations are performed:

selecting a first service with the recommended order in the first position in the service sequence;

recommending service content of the first service to the access user in the application program, and responding to the access instruction.

5. The recommendation processing method according to claim 1, said recommending service contents of said service to be recommended to said access user within said application program in response to said access instruction step being performed, further comprising:

and generating a recommendation record of the service to be recommended, and associating the recommendation record of the service to be recommended to the service sequence.

6. The recommendation processing method according to claim 1, wherein the services in the service sequence include a subroutine service provided by a subroutine of the application.

7. The recommendation processing method according to claim 6, wherein said recommending service contents of said service to be recommended to said accessing user within said application program in response to said accessing instruction step being performed, further comprises:

and if the access instruction for the service content is detected, jumping to a subroutine page of a subroutine corresponding to the service content.

8. The recommendation processing method of claim 6, the access parameters comprising at least one of:

the user conversion probability of the accessing user accessing the subprogram corresponding to the service content is accessed, and the user retention probability of the accessing user accessing the subprogram corresponding to the service content according to the service policy is accessed.

9. The recommendation processing method according to claim 1, further comprising:

predicting access parameters of the access user for each service in a candidate service sequence based on actual access data of the access user;

and updating the recommended bit of each service in the service sequence of the access user according to the predicted access parameters, and/or updating one or more services in the service sequence of the access user.

10. The recommendation processing method according to claim 1, wherein the determining the service to be recommended in the service sequence according to the recommendation record includes:

determining a service with the recommended bit behind the service in the service sequence as the service to be recommended according to the service corresponding to the recommended record;

or alternatively, the process may be performed,

and predicting access parameters of each service in the service sequence according to the access data carried in the recommendation record, and determining the service to be recommended according to the obtained access parameters.

11. The recommendation processing method according to claim 1, wherein each service in the service sequence performs service content recommendation according to a respective recommendation order, and each time the service content recommendation of the application program is triggered, the service content recommendation of one service is performed in the application program;

and after the service content is recommended for the service with the last recommended position in the service sequence, returning to the service with the first recommended position in the service sequence for recommending the service content.

12. A recommendation processing apparatus comprising:

the access instruction acquisition module is configured to acquire an access instruction of an access user for triggering service content recommendation of the application program;

a recommended record detection module configured to detect whether a recommended record for recommending service content based on a service sequence of the access user exists; the service sequence is determined in a sequence pool according to access parameters obtained by carrying out access parameter prediction on the access user;

if yes, executing a service determining module; the service determining module is configured to determine a service to be recommended in the service sequence according to the recommendation record;

and the service content recommending module is configured to recommend the service content of the service to be recommended to the access user in the application program, and respond to the access instruction.

13. A recommendation processing device comprising:

a processor; and a memory configured to store computer-executable instructions that, when executed, cause the processor to:

acquiring an access instruction of an access user for triggering service content recommendation of an application program;

detecting whether a recommendation record for recommending service contents based on the service sequence of the access user exists or not; the service sequence is determined in a sequence pool according to access parameters obtained by carrying out access parameter prediction on the access user;

if yes, determining a service to be recommended in the service sequence according to the recommendation record;

recommending the service content of the service to be recommended to the access user in the application program, and responding to the access instruction.

14. A storage medium storing computer-executable instructions that when executed by a processor implement the following:

acquiring an access instruction of an access user for triggering service content recommendation of an application program;

detecting whether a recommendation record for recommending service contents based on the service sequence of the access user exists or not; the service sequence is determined in a sequence pool according to access parameters obtained by carrying out access parameter prediction on the access user;

if yes, determining a service to be recommended in the service sequence according to the recommendation record;

recommending the service content of the service to be recommended to the access user in the application program, and responding to the access instruction.

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