CN111131355B - Method and apparatus for processing information - Google Patents
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- CN111131355B CN111131355B CN201811289886.0A CN201811289886A CN111131355B CN 111131355 B CN111131355 B CN 111131355B CN 201811289886 A CN201811289886 A CN 201811289886A CN 111131355 B CN111131355 B CN 111131355B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
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Abstract
The embodiment of the application discloses a method and a device for processing information. One embodiment of the method comprises: in response to determining that the customer sets a conversion target set and an expected cost corresponding to each conversion target in the conversion target set for the target push information, acquiring a target user identification set, wherein the target user identification associates the target user indicated by the target user identification with a probability of achieving each conversion target in the conversion target set through the target push information; for the target user indicated by each target user identifier in the target user identifier set, the probability of each conversion target in the conversion target set is achieved through target push information, and the product between the probability and the expected cost corresponding to the conversion target is determined; based on the determined product, feedback information is generated and sent to the client of the client. This embodiment enables the generation of feedback information related to multiple transition objectives.
Description
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to a method and a device for processing information.
Background
The existing push information includes interactive push information, and a user can enter a specific website or open a specific window by selecting (e.g., clicking) such push information.
At present, the existing information push mode generally supports the client to set a single conversion target for the similar information transmission and pay for the single conversion target.
Disclosure of Invention
The embodiment of the application provides a method and a device for processing information.
In a first aspect, an embodiment of the present application provides a method for processing information, where the method includes: in response to determining that the customer sets a conversion target set and an expected cost corresponding to each conversion target in the conversion target set for the target push information, acquiring a target user identification set, wherein the target user identification associates the target user indicated by the target user identification with a probability of achieving each conversion target in the conversion target set through the target push information; for the target user indicated by each target user identifier in the target user identifier set, the probability of each conversion target in the conversion target set is achieved through target push information, and the product between the probability and the expected cost corresponding to the conversion target is determined; based on the determined product, feedback information is generated and sent to the client of the client.
In some embodiments, obtaining a set of target user identifications comprises: acquiring a user identification set and an operation information set, wherein the operation information set comprises operation information which corresponds to user identifications in the user identification set and is associated with push information under the category to which target push information belongs; analyzing the operation information set, and determining the probability that the user indicated by each user identifier in the user identifier set achieves each conversion target in the conversion target set through target push information; and based on the determined probability, selecting the user identification from the user identification set as a target user identification, and generating a target user identification set.
In some embodiments, generating feedback information based on the determined product comprises: calculating a sum of the determined products, the sum being taken as a first value; based on the first value, first feedback information is generated.
In some embodiments, generating the feedback information based on the determined product further comprises: selecting at least one conversion target from the conversion target set; for each of at least one conversion target, calculating a sum of the determined respective products associated with the conversion target, the sum being taken as a second value corresponding to the conversion target; second feedback information is generated based on second values respectively corresponding to the at least one conversion target.
In some embodiments, the above method further comprises: and pushing the target push information to a user side of the target user indicated by the target user identification in the target user identification set.
In some embodiments, after pushing the target push information to the user side of the target user indicated by the target user identifier in the target user identifier set, the method further includes: the balance in the customer's target account information is decreased by a first value.
In a second aspect, an embodiment of the present application provides an apparatus for processing information, the apparatus including: an obtaining unit configured to obtain a target user identifier set in response to determining that the client sets a conversion target set and a desired cost corresponding to each conversion target in the conversion target set for the target push information, wherein the target user identifier associates a probability that a target user indicated by the target user achieves each conversion target in the conversion target set through the target push information; the determining unit is configured to determine, for a target user indicated by each target user identifier in the target user identifier set, a probability of achieving each conversion target in the conversion target set through the target push information, and determine a product between the probability and an expected cost corresponding to the conversion target; a sending unit configured to generate feedback information based on the determined product, and send the feedback information to a client of the client.
In some embodiments, the obtaining unit is further configured to: acquiring a user identification set and an operation information set, wherein the operation information set comprises operation information which corresponds to user identifications in the user identification set and is associated with push information under a category to which target push information belongs; analyzing the operation information set, and determining the probability that the user indicated by each user identifier in the user identifier set achieves each conversion target in the conversion target set through target push information; and based on the determined probability, selecting the user identification from the user identification set as a target user identification, and generating a target user identification set.
In some embodiments, the transmitting unit comprises: a first calculation subunit configured to calculate a sum of the determined respective products, the sum being taken as a first value; a first generating subunit configured to generate first feedback information based on the first value.
In some embodiments, the transmitting unit further comprises: a selecting subunit configured to select at least one conversion target from the set of conversion targets; a second calculation subunit configured to, for each of the at least one conversion target, calculate a sum of the determined respective products associated with the conversion target as a second value corresponding to the conversion target; a second generation subunit configured to generate second feedback information based on second values respectively corresponding to the at least one conversion target.
In some embodiments, the above apparatus further comprises: and the pushing unit is configured to push the target pushing information to the user side of the target user indicated by the target user identifier in the target user identifier set.
In some embodiments, the above apparatus further comprises: a modification unit configured to reduce a balance in the customer's target account information by a first value.
In a third aspect, an embodiment of the present application provides an electronic device, including: one or more processors; a storage device having one or more programs stored thereon; when executed by the one or more processors, cause the one or more processors to implement a method as described in any implementation of the first aspect.
In a fourth aspect, the present application provides a computer-readable medium, on which a computer program is stored, which when executed by a processor implements the method described in any implementation manner of the first aspect.
According to the method and the device for processing information, the target user identification set is obtained by responding to the fact that the client sets the conversion target set and the expected cost corresponding to each conversion target in the conversion target set aiming at the target push information, then the probability of each conversion target in the conversion target set is achieved through the target push information for the target user indicated by each target user identification in the target user identification set, the product between the probability and the expected cost corresponding to the conversion target is determined, so that the feedback information is generated based on the determined product, and the feedback information is sent to the client of the client. Therefore, the conversion target set by the client aiming at the target push information and the expected cost corresponding to each conversion target in the conversion target set are effectively utilized, and the generation of the feedback information related to multiple conversion targets is realized.
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Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which one embodiment of the present application may be applied;
FIG. 2 is a flow diagram for one embodiment of a method for processing information according to the present application;
FIG. 3 is a schematic diagram of an application scenario of a method for processing information according to the present application;
FIG. 4 is a flow diagram of yet another embodiment of a method for processing information according to the present application;
FIG. 5 is a schematic block diagram illustrating one embodiment of an apparatus for processing information according to the present application;
FIG. 6 is a schematic block diagram of a computer system suitable for use in implementing an electronic device according to embodiments of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 shows an exemplary system architecture 100 to which embodiments of the method for processing information or the apparatus for processing information of the present application may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The client may use the terminal devices 101, 102, 103 to interact with the server 105 over the network 104 to receive or send messages or the like. Various communication client applications, such as a web browser application, an application for configuring information for a client with respect to target push information, and the like, may be installed on the terminal devices 101, 102, 103.
The terminal apparatuses 101, 102, and 103 may be hardware or software. When the terminal devices 101, 102, 103 are hardware, they may be various electronic devices with display screens, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like. When the terminal apparatuses 101, 102, 103 are software, they can be installed in the electronic apparatuses listed above. It may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services) or as a single piece of software or software module. And is not particularly limited herein.
The server 105 may be a server that provides various services. For example, the server 105 may support the client to set a plurality of conversion targets for the target push information through the terminal devices 101, 102, 103, and set a corresponding desired cost (a fee the client is willing to pay for one conversion) for each conversion target. The server 105 can perform a corresponding processing operation based on each conversion target set by the client and the desired cost corresponding to the conversion target, obtain a processing result (e.g., generated feedback information), and transmit the processing result to the terminal apparatuses 101, 102, 103.
It should be noted that the method for processing information provided in the embodiment of the present application is generally performed by the server 105. Accordingly, the means for processing information is typically provided in the server 105.
It should be noted that the server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster formed by multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to FIG. 2, a flow 200 of one embodiment of a method for processing information in accordance with the present application is shown. The flow 200 of the method for processing information comprises the following steps:
In this embodiment, an executing agent of the method for processing information (e.g., server 105 shown in fig. 1) may obtain the target set of user identifications in response to determining that the client has set the set of conversion targets and the desired cost corresponding to each conversion target in the set of conversion targets for the target push information.
The target push information may be interactive push information. The target push information may be used to introduce a customer's product or service to a user group, for example. The target push information may be push information in various forms (for example, in the form of pictures, text links, and the like), and the embodiment does not limit the form of the target push information.
The conversion goals may include, but are not limited to, download completion, installation completion, activation, payment, form submission, online consultation, telephone dialing, and the like, for example. The unit of the expected cost corresponding to the conversion target may be, for example, an element, and is not particularly limited herein. For the desired cost corresponding to each conversion objective, the desired cost may be the amount the customer is willing to pay for one conversion.
The target user identifier may be associated with a probability that the target user indicated by the target user achieves each conversion target in the conversion target set through the target push information. In practice, the probability may be a value within the interval [0, 1 ]. The greater the probability value, the greater the likelihood that the user can be characterized to achieve the corresponding conversion objective.
It should be noted that the execution subject may provide a conversion target setting interface to the customer, and the customer may set the conversion target set and the expected cost corresponding to each conversion target in the conversion target set on the interface. Furthermore, the executing agent may determine whether the customer sets the conversion target set and the desired cost corresponding to each conversion target in the conversion target set for the target push information based on an operation performed by the customer on the interface.
In this embodiment, the execution subject may locally store a user identifier set in advance. Wherein, the user identifier in the user identifier set may correspond to the probability set. The probabilities in the probability set may be associated with the target push information and the first conversion target in a preset first conversion target set. Further, each of the above-described conversion target sets may be included in the first conversion target set. The execution subject may select a user identifier from the user identifier set as a target user identifier based on the conversion target set, and generate a target user identifier set.
As an example, for each user identifier in the user identifier set, the executing entity may determine whether there is a probability not lower than a probability threshold in probabilities respectively corresponding to the conversion targets in the conversion target set in the probability set corresponding to the user identifier, and if there is a probability, the executing entity may select the user identifier as a target user identifier. Then, the execution subject may combine the selected target user identifiers into the target user identifier set. Here, the probability threshold may be set according to actual needs, and is not specifically limited herein.
In this embodiment, for the probability that the target user indicated by each target user identifier in the target user identifier set achieves each conversion target in the conversion target set through the target push information, the executing entity may calculate a product between the probability and an expected cost corresponding to the conversion target.
Based on the determined product, feedback information is generated, step 203, and sent to the client of the client.
In this embodiment, after the execution of step 202, the execution subject may generate feedback information based on the determined product, and send the feedback information to a client of the client (e.g., the terminal device 101, 102, 103 shown in fig. 1). For example, the execution main body may send the feedback information to an application installed on the client and communicatively connected to the execution main body.
As an example, the execution agent may calculate a sum of the respective products determined in step 202, as the first value. The execution body may then generate first feedback information based on the first value. The first feedback information may be used to feed back the following information to the client: the total bid corresponding to each conversion target in the conversion target set is a first value element. The total bid may be the total fee that the customer needs to pay for the respective conversion target. Finally, the execution main body can send the first feedback information to the client.
With continued reference to fig. 3, fig. 3 is a schematic diagram of an application scenario of the method for processing information according to the present embodiment. In the application scenario of fig. 3, the server 301 may locally store target push information B for introducing the educational service of the client C to the user group. If the client C wants to pay for three conversion targets of form submission, online consultation and telephone dialing at the same time to fully mine different crowd values, the client C can access a conversion target setting interface provided by the server 301 through the terminal device 302, and set a conversion target set and an expected cost corresponding to each conversion target in the conversion target set for the target push information B. Wherein the set of transformation objectives may include the following transformation objectives: form submission, online consultation, and telephone dialing. The expected costs corresponding to form submission, online consultation, and call placement translation goals, in turn, may be 50, 40, 80 (as indicated by reference numeral 303). Here, the unit of the desired cost may be an element.
The server 301 may obtain the target user identification set in response to determining that the client C sets the above-mentioned conversion target set and the desired cost corresponding to each conversion target in the above-mentioned conversion target set for the target push information B. Wherein the set of target user identifications may include target user identification a1 and target user identification a 2. The target user identity a1 may be associated with the following 3 probabilities: 0.2, 0.5, 0.1, can be denoted as { a1(0.2, 0.5, 0.1) } (as indicated by reference numeral 304). Here, 0.2 may be the probability that the target user indicated by the target user identification a1 achieves the conversion target of the form submission by the target push information B. 0.5 may be the probability that the target user achieves the conversion goal of online consultation through the target push information B. 0.1 may be the probability that the target user achieves the conversion target of the call dialing through the target push information B. The target user identity a2 may be associated with the following 3 probabilities: 0.7, 0.3, 0.02, can be expressed as { a2(0.7, 0.3, 0.02) } (as indicated by reference numeral 305). 0.7 may be the probability that the target user indicated by the target user identification a2 achieved the conversion goal of the form submission through the target push information B. 0.3 may be the probability that the target user achieves the conversion goal of online consultation through the target push information B. 0.02 may be the probability that the target user achieves the conversion target of the call dialing through the target push information B.
Then, for each target subscriber identity in the set of target subscriber identities, the server 301 may calculate the product of each of the 3 probabilities associated with that target subscriber identity and the expected cost corresponding to its associated conversion target. Here, the products associated with the form submission, online consultation and call placement conversion targets in turn, calculated for the target user identification a1 are 10, 20, 8 (as indicated by reference numeral 306). The products associated with the form submission, online consultation and call placement translation target in turn, calculated for the target user identification a2 are 35, 12, 1.6 (as shown at reference numeral 307).
Finally, the server 301 may generate feedback information (as indicated by reference numeral 309) for feeding back the following information to the client C based on the sum 86.6: the total bid corresponding to form submission, online consultation and call placement conversion goals is 86.6 dollars. And the server 301 may transmit the feedback information to the terminal device 302.
The method provided by the above embodiment of the present application obtains the target user identifier set by responding to the determination that the client sets the transformation target set and the expected cost corresponding to each transformation target in the transformation target set for the target push information, then achieves the probability of each transformation target in the transformation target set through the target push information for the target user indicated by each target user identifier in the target user identifier set, determines the product between the probability and the expected cost corresponding to the transformation target, so as to generate the feedback information based on the determined product, and sends the feedback information to the client of the client. Therefore, the conversion target set by the client aiming at the target push information and the expected cost corresponding to each conversion target in the conversion target set are effectively utilized, and the generation of the feedback information related to the multiple conversion targets is realized.
With further reference to FIG. 4, a flow 400 of yet another embodiment of a method for processing information is shown. The flow 400 of the method for processing information includes the steps of:
In this embodiment, an executing agent of the method for processing information (e.g., the server 105 shown in fig. 1) may acquire the user identification set and the operation information set in response to determining that the client sets the conversion target set and the desired cost corresponding to each conversion target in the conversion target set for the target push information.
The target push information may be interactive push information. The target push information may be used to introduce a customer's product or service to a user group, for example. The target push information may be push information in various forms (for example, in the form of pictures, text links, and the like), and the embodiment does not limit the form of the target push information.
The conversion goals may include, but are not limited to, download completion, installation completion, activation, payment, form submission, online consultation, telephone dialing, and the like, for example. The unit of the expected cost corresponding to the conversion target may be, for example, an element, and is not particularly limited herein. For the desired cost corresponding to each conversion objective, the desired cost may be a fee that the customer is willing to pay for each achievement of that conversion objective.
The operation information set may include operation information corresponding to the user identifier in the user identifier set and associated with the push information in the category to which the target push information belongs. The category may be a coarse-grained category or a fine-grained category, and is not specifically limited herein. For example, if the target push information is associated with game software, the category to which the target push information belongs may be software or game software.
For the operation information corresponding to any user identifier, the operation information may include an information identifier of the push information in the category that the user indicated by the user identifier clicked once, and an operation identifier of a series of operations executed after clicking the push information. Taking the push information related to the game software as an example, a series of operations performed by the user after clicking the push information may include, but is not limited to, downloading, installing, activating, paying, and the like.
In this embodiment, the executing entity may obtain a preset first user information set associated with a category to which the target push information belongs from a server locally or remotely connected thereto. The first user information may include a user identifier and operation information corresponding to the user identifier and associated with the push information in the category. The execution body may extract a user identifier set and an operation information set from the first user information set.
For another example, the execution agent may obtain a preset second user information set from a server locally or in remote communication connection therewith. The second user information may include a user identifier and various operation information corresponding to the user identifier. The execution main body may select second user information including operation information related to push information of a category to which the target push information belongs from the second user information set, and may form a second user information group. Then, the execution main body may extract, from the second user information group, a user identifier set and operation information that corresponds to each user identifier in the user identifier set and is associated with the push information in the category, and combine the extracted operation information into an operation information set.
In this embodiment, the executing entity may analyze the acquired operation information set, and determine a probability that a user indicated by each user identifier in the user identifier set achieves each conversion target in the conversion target set through the target push information. Wherein the probability may be a value within the interval [0, 1 ]. The greater the probability value, the greater the likelihood that the user may be characterized to achieve the corresponding conversion objective.
As an example, the execution subject may combine each user identifier in the user identifier set and the information identifier of the target push information into an identifier pair. Then, the execution main body may input the formed identifier pairs and the operation information corresponding to the user identifier included in each identifier pair into the target prediction model to obtain a prediction result. The prediction result may include a probability that the user indicated by each user identifier in the user identifier set achieves each conversion target in the conversion target set through the target push information.
The target prediction model may be a model that is obtained by learning in advance by using a Multi-task learning (MTL) method and is used for predicting a probability that a user indicated by a user identifier in an input identifier pair achieves each conversion target in the conversion target set through push information indicated by an information identifier in the identifier pair.
The multi-task learning method is a machine learning method for learning a plurality of related tasks together based on shared representation (shared representation). The multi-task learning relates to simultaneous parallel learning of a plurality of related tasks, gradient simultaneous backward propagation, and the plurality of tasks mutually help learning through shared representation of a bottom layer, so that the generalization effect is improved. Since the multitask learning method is a well-known technology which is widely researched and applied at present, the details are not described herein.
And step 403, selecting the user identifier from the user identifier set as a target user identifier based on the determined probability, and generating a target user identifier set.
In this embodiment, the executing entity may select a user identifier from the user identifier set as a target user identifier based on the probability determined in step 402, and generate a target user identifier set.
As an example, for each user identifier in the user identifier set, the executing entity may determine whether there is a probability not lower than a probability threshold in the respective probabilities corresponding to the user identifier, and if so, the executing entity may select the user identifier as a target user identifier. Here, the probability threshold may be set according to actual needs, and is not specifically limited herein.
In step 404, for the probability that the target user indicated by each target user identifier in the target user identifier set achieves each conversion target in the conversion target set through the target push information, the product between the probability and the expected cost corresponding to the conversion target is determined.
In this embodiment, for the probability that the target user indicated by each target user identifier in the target user identifier set achieves each conversion target in the conversion target set through the target push information, the executing entity may determine a product between the probability and an expected cost corresponding to the conversion target.
Based on the determined product, feedback information is generated and sent to the client of the client, step 405.
In this embodiment, after the execution of step 404, the execution subject may generate feedback information based on the determined product, and send the feedback information to the client (e.g., the terminal device 101, 102, 103 shown in fig. 1). For example, the execution main body may send the feedback information to an application installed on the client and communicatively connected to the execution main body.
As an example, the execution agent may calculate a sum of the respective products determined in step 404 as the first value. The execution body may then generate first feedback information based on the first value. The first feedback information may be used to feed back the following information to the client, for example: the total bid corresponding to each conversion target in the conversion target set is a first value element. The total bid may be the total fee that the customer needs to pay for the respective conversion target. Finally, the execution main body can send the first feedback information to the client.
As can be seen from fig. 4, compared with the embodiment corresponding to fig. 2, the flow 400 of the method for processing information in the present embodiment highlights the step of expanding the method for acquiring the target user identification set. Therefore, the scheme described in the embodiment can realize diversity of information processing, can improve the effectiveness of the target user identification set, and can prevent potential users from being filtered out.
In an optional implementation manner of the method for processing information provided in the embodiments of the present application, after generating the first feedback information, an execution subject (for example, the server 105 shown in fig. 1) of the method may further generate the second feedback information by performing the following generating steps:
first, the execution subject may select at least one conversion target from a conversion target set by the client for the target push information. For example, the execution subject may select all the conversion targets from the conversion target set. Alternatively, the execution subject may select a conversion target from the conversion target set based on configuration information of a client. Wherein the configuration information may include a conversion target identification of a conversion target that the customer wants to know about the corresponding bid information.
Then, for each of the at least one conversion target, the executing entity may calculate a sum of the respective products associated with the conversion target determined in step 202 or step 404, and take the sum as a second value corresponding to the conversion target. Here, the second value may be a bid corresponding to the conversion objective.
Finally, the execution body may generate second feedback information based on second values respectively corresponding to the at least one conversion target. As an example, it is assumed that the at least one conversion target includes conversion targets T1 and T2, and the second values corresponding to the conversion targets T1 and T2 are D1 and D2 in this order. This second feedback information may be used to feed back to the client the following information: the bid corresponding to the conversion target T1 is D1 yuan and the bid corresponding to the conversion target T2 is D2 yuan.
It should be understood that the executing entity may send the first feedback information and the second feedback information to the client of the client after generating the first feedback information and the second feedback information.
In an optional implementation manner of the method for processing information provided by the embodiments of the present application, the executing subject may push the target push information to a user side of a target user indicated by a target user identifier (e.g., each target user identifier) in a set of target user identifiers.
In an optional implementation manner of the method for processing information provided by each embodiment of the present application, after the executing entity pushes the target push information to a user side of a target user indicated by a target user identifier in a target user identifier set, a balance in target account information of the user may be decreased by a first value. Wherein the first value may be the sum of the respective products determined in step 202 or step 404. The target account indicated by the target account information may be an account that the customer logs in when setting the above-described conversion target set. The target account information may include, but is not limited to, the customer's account name, balance, etc.
In an alternative implementation manner of the method for processing information provided by the embodiments of the present application, the target push information may be push information that is interactive and is in a cold start phase. The execution main body can be beneficial to the cold start of the target push information by supporting a client to set a plurality of conversion targets for the target push information. It should be understood that for any piece of push information, if the push information is not pushed to the user group or is pushed only a limited number of times, and the push information is associated with less user data, the push information may be said to be in the cold start phase. In addition, the execution main body can promote the delivery effect of the target push information in the cold start stage by pushing the target push information to the user side of the target user indicated by the target user identifier in the target user identifier set.
With further reference to fig. 5, as an implementation of the methods shown in the above-mentioned figures, the present application provides an embodiment of an apparatus for processing information, which corresponds to the method embodiment shown in fig. 2, and which is particularly applicable in various electronic devices.
As shown in fig. 5, the apparatus 500 for processing information of the present embodiment includes: the obtaining unit 501 is configured to, in response to determining that the client sets a conversion target set and a desired cost corresponding to each conversion target in the conversion target set for the target push information, obtain a target user identification set, where the target user identification may be associated with a probability that its indicated target user achieves each conversion target in the conversion target set through the target push information; the determining unit 502 is configured to determine, for a probability that a target user indicated by each target user identifier in the target user identifier set achieves each conversion target in the conversion target set through the target push information, a product between the probability and an expected cost corresponding to the conversion target; the sending unit 503 is configured to generate feedback information based on the determined product and send the feedback information to the client of the client.
In the present embodiment, in the apparatus 500 for processing information: the specific processing of the obtaining unit 501, the determining unit 502, and the sending unit 503 and the technical effects thereof can refer to the related descriptions of step 201, step 202, and step 203 in the corresponding embodiment of fig. 2, which are not described herein again.
In some optional implementations of this embodiment, the obtaining unit 501 may be further configured to: acquiring a user identification set and an operation information set, wherein the operation information set may include operation information corresponding to a user identification in the user identification set and associated with push information in a category to which target push information belongs; analyzing the operation information set, and determining the probability that the user indicated by each user identifier in the user identifier set achieves each conversion target in the conversion target set through target push information; and based on the determined probability, selecting the user identification from the user identification set as a target user identification, and generating a target user identification set.
In some optional implementations of this embodiment, the sending unit 503 may include: a first calculation subunit (not shown in the figure) configured to calculate a sum of the determined respective products as a first value; a first generating subunit (not shown in the figure) configured to generate the first feedback information based on the first value.
In some optional implementations of this embodiment, the sending unit 503 may further include: a selecting subunit (not shown in the figure) configured to select at least one conversion target from the set of conversion targets; a second calculation subunit (not shown in the figure) configured to, for each of the at least one conversion target, calculate a sum of the determined respective products associated with the conversion target as a second value corresponding to the conversion target; a second generating subunit (not shown in the figure) configured to generate second feedback information based on second values respectively corresponding to the at least one conversion target.
In some optional implementations of this embodiment, the apparatus 500 may further include: a pushing unit (not shown in the figure) configured to push the target push information to the user terminal of the target user indicated by the target user identifier in the target user identifier set.
In some optional implementations of this embodiment, the apparatus 500 may further include: a modification unit (not shown in the figures) configured to reduce the balance in the customer's target account information by a first value.
The apparatus provided by the foregoing embodiment of the present application, obtains the target user identifier set by responding to a determination that the client sets the transformation target set and the expected cost corresponding to each transformation target in the transformation target set for the target push information, then achieves the probability of each transformation target in the transformation target set through the target push information for the target user indicated by each target user identifier in the target user identifier set, determines the product between the probability and the expected cost corresponding to the transformation target, so as to generate the feedback information based on the determined product, and sends the feedback information to the client of the client. Therefore, the conversion target set by the client aiming at the target push information and the expected cost corresponding to each conversion target in the conversion target set are effectively utilized, and the generation of the feedback information related to the multiple conversion targets is realized.
Referring now to FIG. 6, a block diagram of a computer system 600 suitable for use in implementing an electronic device (e.g., server 105 of FIG. 1) of an embodiment of the present application is shown. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the system 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. A driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609 and/or installed from the removable medium 611. The above-described functions defined in the system of the present application are executed when the computer program is executed by the Central Processing Unit (CPU) 601.
It should be noted that the computer readable medium shown in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a determination unit, and a transmission unit. Where the names of these units do not in some cases constitute a limitation on the unit itself, for example, an acquisition unit may also be described as a "unit to acquire a set of target user identifications".
As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by an electronic device, cause the electronic device to: in response to determining that the customer sets a conversion target set and an expected cost corresponding to each conversion target in the conversion target set for the target push information, obtaining a target user identification set, wherein the target user identification can be associated with the probability that the target user indicated by the target user achieves each conversion target in the conversion target set through the target push information; for the target user indicated by each target user identifier in the target user identifier set, the probability of each conversion target in the conversion target set is achieved through target push information, and the product between the probability and the expected cost corresponding to the conversion target is determined; based on the determined product, feedback information is generated and sent to the client of the client.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (12)
1. A method for processing information, comprising:
in response to determining that a customer sets a conversion target set and an expected cost corresponding to each conversion target in the conversion target set for target push information, acquiring a target user identification set, wherein the target user identification associates a probability that a target user indicated by the target user achieves each conversion target in the conversion target set through the target push information;
for the probability that the target user indicated by each target user identifier in the target user identifier set achieves each conversion target in the conversion target set through the target push information, determining the product between the probability and the expected cost corresponding to the conversion target;
generating feedback information based on the determined product, and sending the feedback information to a client of the customer;
the acquiring of the target user identifier set includes:
acquiring a user identification set and an operation information set, wherein the operation information set comprises operation information which corresponds to user identifications in the user identification set and is associated with push information in a category to which the target push information belongs;
analyzing the operation information set, and determining the probability that the user indicated by each user identifier in the user identifier set achieves each conversion target in the conversion target set through the target push information;
and selecting the user identification from the user identification set as a target user identification based on the determined probability, and generating a target user identification set.
2. The method of claim 1, wherein the generating feedback information based on the determined product comprises:
calculating a sum of the determined products, the sum being taken as a first value;
based on the first value, first feedback information is generated.
3. The method of claim 2, wherein the generating feedback information based on the determined product further comprises:
selecting at least one conversion target from the conversion target set;
for each of the at least one conversion target, calculating a sum of the determined respective products associated with the conversion target, the sum being taken as a second value corresponding to the conversion target;
second feedback information is generated based on second values respectively corresponding to the at least one conversion target.
4. The method of claim 2 or 3, wherein the method further comprises:
and pushing the target pushing information to a user side of a target user indicated by the target user identification in the target user identification set.
5. The method of claim 4, wherein after the pushing the target push information to the user side of the target user indicated by the target user identifier in the set of target user identifiers, the method further comprises:
decreasing the balance in the customer's target account information by the first value.
6. An apparatus for processing information, comprising:
an obtaining unit configured to obtain a set of target user identifications associated with a probability that a target user indicated by the target user reaches each conversion target in the set of conversion targets through the target push information in response to determining that a client sets a set of conversion targets and a desired cost corresponding to each conversion target in the set of conversion targets for the target push information;
the determining unit is configured to determine, for a probability that a target user indicated by each target user identifier in the target user identifier set achieves each conversion target in the conversion target set through the target push information, a product between the probability and an expected cost corresponding to the conversion target;
a transmitting unit configured to generate feedback information based on the determined product and transmit the feedback information to a client of the client;
the acquisition unit is further configured to:
acquiring a user identifier set and an operation information set, wherein the operation information set comprises operation information which corresponds to user identifiers in the user identifier set and is associated with push information in a category to which the target push information belongs;
analyzing the operation information set, and determining the probability that the user indicated by each user identifier in the user identifier set achieves each conversion target in the conversion target set through the target push information;
and selecting the user identification from the user identification set as a target user identification based on the determined probability, and generating a target user identification set.
7. The apparatus of claim 6, wherein the transmitting unit comprises:
a first calculation subunit configured to calculate a sum of the determined respective products, the sum being taken as a first value;
a first generating subunit configured to generate first feedback information based on the first value.
8. The apparatus of claim 7, wherein the transmitting unit further comprises:
a selecting subunit configured to select at least one conversion target from the set of conversion targets;
a second calculation subunit configured to, for each of the at least one conversion target, calculate a sum of the determined respective products associated with the conversion target as a second value corresponding to the conversion target;
a second generation subunit configured to generate second feedback information based on second values respectively corresponding to the at least one conversion target.
9. The apparatus of claim 7 or 8, wherein the apparatus further comprises:
a pushing unit configured to push the target push information to a user side of a target user indicated by a target user identifier in the target user identifier set.
10. The apparatus of claim 9, wherein the apparatus further comprises:
a modification unit configured to reduce a balance in the customer's target account information by the first value.
11. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5.
12. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-5.
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