CN111669466B - Intelligent outbound system configuration method, device and computer readable storage medium - Google Patents
Intelligent outbound system configuration method, device and computer readable storage medium Download PDFInfo
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Abstract
The invention relates to artificial intelligence, and discloses an intelligent outbound system configuration method, which comprises the following steps: newly creating an outbound node set, performing cost calculation on each outbound node in the outbound node set to obtain a cost optimization function value, and selecting the outbound nodes in the outbound node set according to the cost optimization function value to obtain a node assembly set; constructing a shunting structure for the node assembly set, and collecting outbound nodes in the node assembly set into a node flow set according to the shunting structure; performing outbound policy matching on the node flow set to obtain a policy content set; and acquiring voice information, converting the voice information into text information, and performing service matching on the strategy content set and the text information to obtain an outbound service set. The invention also relates to a blockchain technology, and the outbound service set is stored in the blockchain. The invention can solve the problems of high cost and low efficiency in the telephone sales process.
Description
Technical Field
The present invention relates to the field of artificial intelligence, and in particular, to an intelligent outbound system configuration method, an apparatus, an electronic device, and a computer readable storage medium.
Background
The telephone sales management system is an enterprise integrated information management system which integrates a plurality of management functions such as telephone management, customer data management (CRM customer relationship management), order management, consumption management, short messages, multimedia messages (multimedia message mobile phone report), intelligent inquiry management, customer return visit management, telephone incoming and outgoing customer identification and statistics, two-dimension code transmission, fax, voice, mail poster, enterprise channel management and the like.
The traditional telephone sales management system comprises a registration unit, a login unit, a permission verification unit, an outbound data uploading unit, an analysis unit and a calling unit; the registration unit is used for registering the account number in a mode of a user name and a password; the login unit is used for logging in the electric sales call management system through the user name and the password. The calling unit may perform a first outbound call, a second outbound call, etc. The method can not effectively and flexibly change the rule and the strategy of the outbound call, can only singly execute the outbound call, analyze and call, and ensures that a business party spends a great deal of effort in repeated configuration work when configuring, thereby bringing great redundant workload.
Disclosure of Invention
The invention provides a configuration method, a device, electronic equipment and a computer readable storage medium of an intelligent outbound system, which mainly aim to conveniently and rapidly configure an intelligent outbound flow, reduce the configuration workload of business personnel and improve the working efficiency.
In order to achieve the above object, the present invention provides a method for configuring an intelligent outbound system, including:
newly creating an outbound node set, performing cost calculation on each outbound node in the outbound node set according to a cost optimization function to obtain a cost optimization function value of each outbound node, and selecting the outbound nodes in the outbound node set according to the cost optimization function value to obtain a node assembly set;
constructing a shunting structure for the node assembly set, and collecting outbound nodes in the node assembly set according to the shunting structure to obtain a node flow set;
performing outbound policy matching on the node flow set to obtain a policy content set;
and acquiring voice information, converting the voice information into text information, and performing service matching on the strategy content set and the text information to obtain an outbound service set.
Optionally, the performing cost calculation on each outbound node in the outbound node set according to the cost optimization function, and obtaining the cost optimization function value of each outbound node includes:
and (3) performing cost calculation by using the following cost optimization function to obtain a cost optimization function value w:
wherein v represents an outbound node, i represents the location of the outbound node, x vi E {0,1}, x when the outbound node v is placed on location i vi Take the value 1, x when the outbound node v is not placed on the location i vi Taking a value of 0; c represents the number of positions of the outbound nodes in the outbound node set; v represents the number of outbound nodes in the outbound node set; p is p vi (x vi ) Representing x vi Cost operation of outbound nodes.
Optionally, the converting the voice information into text information includes:
step I: randomly generating a training voice dialogue set and standard text information corresponding to the training voice dialogue set;
step II: converting the training voice dialogue set by using a text information conversion model to obtain converted text information;
step III: comparing and judging the converted text information and the standard text information to obtain the difference between the converted text information and the standard text information;
step IV: and B, when the difference between the converted text information and the standard text information is larger than a preset threshold value, adjusting parameters of the text information conversion model, and returning to the step B to continuously execute the conversion of the text information;
step V: when the difference between the converted text information and the standard text information is smaller than or equal to the preset threshold value, completing the training, and generating a trained text information conversion model;
Step VI: and converting the voice information into text information by using the trained text information conversion model.
Optionally, the comparing and judging the converted text information with the standard text information to obtain a difference between the converted text information and the standard text information includes:
using a predetermined loss function as follows
Calculating the difference between the converted text information and the standard text information:
wherein ,
representing the converted text information, Y representing the standard text information, ">
Representing a difference calculation->
Representing the difference between the converted text information and the standard text information.
Optionally, the constructing a split-flow structure for the node assembly set includes:
the shunt structure is constructed using the following auxiliary variable formula:
f ij ≥0,(i,j)∈E
wherein ,fij Representing the number of unit flows flowing from the positions i to j of the outbound nodes, wherein the unit flows are paths for constructing the shunt structure, i and j represent the positions of any two outbound nodes, and E represents the node assembly centralized outbound nodeI is the set of locations of the outbound node.
Optionally, the outbound service set is stored in a blockchain, and the outbound policy matching is performed on the node flow set to obtain a policy content set, including:
Calculating the matching degree between the outbound node and the outbound policy by using the following algorithm:
U ik ＝Σ[a,b]
wherein i represents an outbound node; k represents outbound policy; a represents the probability that the outbound node i belongs to the outbound policy k; b represents the probability that the outbound policy k belongs to the outbound node i; u (U) ik The matching degree between the outbound node i and the outbound strategy k is represented;
and carrying out outbound strategy matching according to the matching degree between the outbound node i and the outbound strategy k to obtain a strategy content set.
The outbound policy matching for the node flow set includes:
and carrying out basic information configuration and resource configuration on outbound nodes in the node flow set.
In order to solve the above-mentioned problem, the present invention also provides an intelligent outbound system configuration device, the device comprising:
the node assembly module is used for newly creating an outbound node set, carrying out cost calculation on each outbound node in the outbound node set according to a cost optimization function to obtain a cost optimization function value, and selecting the outbound nodes in the outbound node set according to the cost optimization function value to obtain a node assembly set;
the node distribution module is used for constructing a distribution structure for the node assembly set, and collecting outbound nodes in the node assembly set according to the distribution structure to obtain a node flow set;
The policy matching module is used for carrying out outbound policy matching on the node flow set to obtain a policy content set;
the service matching module is used for acquiring voice information, converting the voice information into text information, and carrying out service matching on the strategy content set and the text information to obtain an outbound service set.
In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:
a memory storing at least one instruction; a kind of electronic device with high-pressure air-conditioning system
And the processor executes the instructions stored in the memory to realize the intelligent outbound system configuration method according to any one of the above.
In order to solve the above problems, the present invention also provides a computer-readable storage medium having at least one instruction stored therein, the at least one instruction being executed by a processor in an electronic device to implement the intelligent outbound system configuration method according to any one of the above.
According to the embodiment of the invention, the outbound nodes in the outbound node set are selected by using the cost optimization function value, so that the node assembly set is obtained, the configuration cost of the outbound nodes is reduced, and the operation cost is reduced; the shunting structure is built for the node assembly set, so that the problem of overlong outbound waiting time in the outbound process can be avoided, and the efficiency of telephone sales is improved; the voice information is obtained, the voice information is converted into text information, and service matching is carried out on the strategy content set and the text information to obtain an outbound service set, so that intelligent service matching can be realized, the problem of customers is guaranteed to be solved in time, and the efficiency of telephone sales is further improved. In summary, the method, the device and the computer readable storage medium for configuring the intelligent outbound system provided by the invention abstract the outbound flow and the strategy to be configured, and strip off the execution of the outbound and the selection of the node strategy, so that when a new outbound selection exists, the strategy can be optimized by only selecting the corresponding node, the response can be fast brought on line, and the convenience of the configuration of service personnel can be greatly improved.
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Fig. 1 is a flow chart of an intelligent outbound system configuration method according to an embodiment of the present invention;
fig. 2 is a schematic block diagram of an intelligent outbound system configuration method according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an internal structure of an electronic device according to an embodiment of the present invention;
the achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The invention provides an intelligent outbound system configuration method. Referring to fig. 1, a flow chart of an intelligent outbound system configuration method according to an embodiment of the invention is shown. The method may be performed by an apparatus, which may be implemented in software and/or hardware.
In this embodiment, the intelligent outbound system configuration method includes:
s1, newly creating an outbound node set, carrying out cost calculation on each outbound node in the outbound node set according to a cost optimization function to obtain a cost optimization function value of each outbound node, and selecting the outbound nodes in the outbound node set according to the cost optimization function value to obtain a node assembly set.
The outbound node refers to a minimum operation unit when performing telephone sales, namely performing dialing operation on clients, wherein each outbound node corresponds to one link of the outbound operation, for example, the operation corresponding to the outbound node 1 is to confirm the identity of a user, the operation corresponding to the outbound node 2 is to call user information, and the operation corresponding to the outbound node 3 is to acquire user authorization, etc.
The embodiment of the invention utilizes the existing CTI (computer-telephony integration) technology to newly establish the outbound node set.
The outbound node set contains n outbound nodes, but the cost of different outbound nodes combined together is not consistent, so that the lowest cost combination of the outbound nodes in the outbound node set needs to be screened out.
The embodiment of the invention performs cost calculation by using the following cost optimization function to obtain a cost optimization function value w:
wherein v represents an outbound node, i represents the location of the outbound node, x vi E {0,1}, x when the outbound node v is placed on location i vi Take the value 1, x when the outbound node v is not placed on the location i vi Taking a value of 0; c represents the number of positions of the outbound nodes in the outbound node set; v represents the number of outbound nodes in the outbound node set; p is p vi (x vi ) Representing x vi Cost operation of outbound nodes.
In detail, when each outbound node in the outbound node set is placed at a different position, the embodiment of the invention uses the cost optimization function to perform cost calculation on different combinations of the outbound nodes to obtain a cost optimization function value, and selects the outbound node and the position combination with the minimum cost optimization function value, namely the node assembly set.
S2, constructing a shunting structure for the node assembly set, and collecting outbound nodes in the node assembly set according to the shunting structure to obtain a node flow set.
In detail, the embodiment of the invention defines the position of any outbound node in the node assembly set, such as the position i, as the root of the splitting structure, and sends out |v| -1 unit streams to other positions of the outbound node in the node assembly set, wherein the unit streams are paths for constructing the splitting structure, and each position where the outbound node is placed consumes a single bit stream until the unit stream flows through all positions of the outbound node in the node assembly set.
The embodiment of the invention constructs the shunt structure by using the following auxiliary variable formula:
f ij ≥0,(i,j)∈E
wherein ,fij And (3) representing the number of unit flows flowing from the positions I to j of the outbound nodes, wherein the unit flows are paths for constructing the shunt structure, I and j represent the positions of any two outbound nodes, E represents the set of edges between the positions of the outbound nodes in the node assembly set, and I is the set of the positions of the outbound nodes.
Wherein, the embodiment of the invention uses the following formula to express that the flow on each side of the flow dividing structure is non-negative:
wherein ,fij Representing the number of unit flows flowing from the locations i to j of the outbound node; v represents the number of outbound nodes in the outbound node set; x is x vi Indicating whether the ith node is placed at the ith location.
Wherein, if the outbound node v is placed at the position i, x is vi =1 (i.e., root), then the difference between the unit streams flowing in and out at position i is equal to 1- |v|, if no outbound node V is placed at position i, but any outbound node other than the outbound node V is placed, the difference between the unit streams flowing in and out is equal to-1.
Each position where the outbound node is placed consumes a unit flow from the root, so that the connectivity of the network can be ensured.
And S3, outbound strategy matching is carried out on the node flow set, and a strategy content set is obtained.
Preferably, in the embodiment of the present invention, the outbound policy matching includes: and carrying out basic information configuration and resource configuration on outbound nodes in the node flow set.
In detail, the basic information configuration refers to attribute information of a configuration node, for example, each outbound node can be allocated to only one location, and at most one node can be placed at each location.
The resource allocation is to make maximum use of information to be transmitted, so as to achieve the goal of maximizing benefit, for example, marking the number of the first outbound, reminding the promoter to make detailed explanation when selling and promoting, etc.
The embodiment of the invention can call the outbound strategy from the preset outbound strategy database, and performs outbound strategy matching on the node flow set. Wherein, the outbound policy database can be the existing pair mysql database, etc.
Further, in the embodiment of the present invention, the performing outbound policy matching on the node flow set to obtain a policy content set includes:
calculating the matching degree between the outbound node and the outbound policy by using the following algorithm:
U ik ＝Σ[a,b]
Wherein i represents an outbound node; k represents outbound policy; a represents the probability that the outbound node i belongs to the outbound policy k; b represents the probability that the outbound policy k belongs to the outbound node i; u (U) ik The matching degree between the outbound node i and the outbound strategy k is represented;
and carrying out outbound strategy matching according to the matching degree between the outbound node i and the outbound strategy k to obtain a strategy content set.
S4, obtaining voice information, converting the voice information into text information, and performing service matching on the strategy content set and the text information to obtain an outbound service set.
The voice information of the user can be obtained when the robot performs telephone sales.
In detail, in the embodiment of the present invention, the step of obtaining the voice information and converting the voice information into text information includes:
constructing a text information conversion model, and training the text information conversion model;
and converting the voice information into the text information by using the trained text information conversion model.
Optionally, the converting the voice information into text information includes:
step I: randomly generating a training voice dialogue set and standard text information corresponding to the training voice dialogue set;
Step II: converting the training voice dialogue set by using a text information conversion model to obtain converted text information;
step III: comparing and judging the converted text information and the standard text information to obtain the difference between the converted text information and the standard text information;
step IV: and B, when the difference between the converted text information and the standard text information is larger than a preset threshold value, adjusting parameters of the text information conversion model, and returning to the step B to continuously execute the conversion of the text information;
step V: when the difference between the converted text information and the standard text information is smaller than or equal to the preset threshold value, completing the training, and generating a trained text information conversion model;
step VI: and converting the voice information into text information by using the trained text information conversion model.
Further, the following preset loss function is utilized
Calculating the difference between the converted text information and the standard text information:
wherein ,
representing the converted text information, Y representing the standard text information, ">
Representing a difference calculation->
Representing the difference between the converted text information and the standard text information.
Further, when the loss function
When the conversion text information is larger than or equal to a preset loss threshold value, the conversion text information and the standard text information are different, and then the conversion of the text information is re-executed after the parameters of the text information conversion model are adjusted;
when the loss function is
And when the loss threshold value is smaller than the loss threshold value, the training is completed and a trained text information conversion model is generated when the conversion text information and the standard text information are not different.
Further, the service matching is performed on the policy content set and the text information to obtain an outbound service set, and when the intelligent outbound system executes outbound actions, the content expressed in the text information is matched with outbound policies contained in the policy content set, so that the robot can automatically answer the voice information of the user. It should be emphasized that, to further ensure the privacy and security of the outbound service set, the outbound service set may also be stored in a blockchain node.
In detail, the matching the content expressed in the text information with the outbound policy contained in the policy content set includes:
And carrying out similarity calculation on the similarity between the strategy content set and the text information by using the following formula:
Sim topic ＝Pearson(TP S ,TP T )
wherein ,Simtopic For the policy content set and theSimilarity of text information; TP (Transmission protocol) T For the policy content set, TP S And the text information is obtained.
If the obtained calculation result is greater than or equal to a preset similarity threshold, the strategy content set and the text information are considered to be unmatched, and a new strategy content set is received again for calculation.
If the obtained calculation result is smaller than the preset similarity threshold, the strategy content set and the text information are considered to be matched, the strategy content set and the text information are collected to obtain the outbound service set, and the configuration of the outbound system is completed.
According to the embodiment of the invention, the outbound nodes in the outbound node set are selected according to the cost optimization function value to obtain the node assembly set, so that the configuration cost of the outbound nodes can be reduced, and the operation cost is reduced; the shunting structure is built for the node assembly set, so that the problem of overlong outbound waiting time in the outbound process can be avoided, and the efficiency of telephone sales is improved; the method comprises the steps of obtaining voice information, converting the voice information into text information, carrying out service matching on the strategy content set and the text information to obtain an outbound service set, carrying out service matching intelligently, ensuring that the problem of customers is solved in time, and further improving the efficiency of telephone sales. In summary, the method, the device and the computer readable storage medium for configuring the intelligent outbound system provided by the invention abstract the outbound flow and the strategy to be configured, and strip off the execution of the outbound and the selection of the node strategy, so that when a new outbound selection exists, the strategy can be optimized by only selecting the corresponding node, the response can be fast brought on line, and the convenience of the configuration of service personnel can be greatly improved.
As shown in fig. 2, a functional block diagram of the intelligent outbound system configuration device according to the present invention is shown.
The intelligent outbound system configuration 100 of the present invention may be installed in an electronic device. The intelligent outbound system configuration device may include a node assembly module 101, a node offload module 102, a policy matching module 103, and a service matching module 104, depending on the functions implemented. The module of the present invention may also be referred to as a unit, meaning a series of computer program segments capable of being executed by the processor of the electronic device and of performing fixed functions, stored in the memory of the electronic device.
In the present embodiment, the functions concerning the respective modules/units are as follows:
the node assembly module 101 is configured to newly create an outbound node set, perform cost calculation on each outbound node in the outbound node set according to a cost optimization function to obtain a cost optimization function value, and select the outbound node in the outbound node set according to the cost optimization function value to obtain a node assembly set;
the node splitting module 102 is configured to construct a splitting structure for the node assembly set, and collect outbound nodes in the node assembly set according to the splitting structure to obtain a node flow set;
The policy matching module 103 is configured to perform outbound policy matching on the node flow set to obtain a policy content set;
the service matching module 104 is configured to obtain voice information, convert the voice information into text information, and perform service matching on the policy content set and the text information to obtain an outbound service set. It should be emphasized that, to further ensure the privacy and security of the outbound service set, the outbound service set may also be stored in a blockchain node
In detail, the specific implementation steps of each module of the intelligent outbound system configuration device are as follows:
the node assembly module 101 creates an outbound node set, calculates the cost of each outbound node in the outbound node set according to a cost optimization function, obtains a cost optimization function value of each outbound node, and selects the outbound node in the outbound node set according to the cost optimization function value, thereby obtaining a node assembly set.
The outbound node refers to a minimum operation unit when performing telephone sales, namely performing dialing operation on clients, wherein each outbound node corresponds to one link of the outbound operation, for example, the operation corresponding to the outbound node 1 is to confirm the identity of a user, the operation corresponding to the outbound node 2 is to call user information, and the operation corresponding to the outbound node 3 is to acquire user authorization, etc.
The embodiment of the invention utilizes the existing CTI (computer-telephony integration) technology to newly establish the outbound node set.
The outbound node set contains n outbound nodes, but the cost of different outbound nodes combined together is not consistent, so that the lowest cost combination of the outbound nodes in the outbound node set needs to be screened out.
The embodiment of the invention performs cost calculation by using the following cost optimization function to obtain a cost optimization function value w:
wherein v represents an outbound node, i represents the location of the outbound node, x vi E {0,1}, x when the outbound node v is placed on location i vi Take the value 1, x when the outbound node v is not placed on the location i vi Taking a value of 0; c represents the number of positions of the outbound nodes in the outbound node set; v represents the number of outbound nodes in the outbound node set; p is p vi (x vi ) Representing x vi Cost operation of outbound nodes.
In detail, when each outbound node in the outbound node set is placed at a different position, the embodiment of the invention uses the cost optimization function to perform cost calculation on different combinations of the outbound nodes to obtain a cost optimization function value, and selects the outbound node and the position combination with the minimum cost optimization function value, namely the node assembly set.
The node splitting module 102 constructs a splitting structure for the node assembly set, and gathers outbound nodes in the node assembly set according to the splitting structure to obtain a node flow set.
In detail, the embodiment of the invention defines the position of any outbound node in the node assembly set, such as the position i, as the root of the splitting structure, and sends out |v| -1 unit streams to other positions of the outbound node in the node assembly set, wherein the unit streams are paths for constructing the splitting structure, and each position where the outbound node is placed consumes a single bit stream until the unit stream flows through all positions of the outbound node in the node assembly set.
The embodiment of the invention constructs the shunt structure by using the following auxiliary variable formula:
f ij ≥0,(i,j)∈E
wherein ,fij And (3) representing the number of unit flows flowing from the positions I to j of the outbound nodes, wherein the unit flows are paths for constructing the shunt structure, I and j represent the positions of any two outbound nodes, E represents the set of edges between the positions of the outbound nodes in the node assembly set, and I is the set of the positions of the outbound nodes.
Wherein, the embodiment of the invention uses the following formula to express that the flow on each side of the flow dividing structure is non-negative:
wherein ,fij Representing the number of unit flows flowing from the locations i to j of the outbound node; v represents the number of outbound nodes in the outbound node set; x is x vi Indicating whether the ith node is placed at the ith location.
Wherein, if the outbound node v is placed at the position i, x is vi =1 (i.e., root), then the difference between the unit streams flowing in and out at position i is equal to 1- |v|, if no outbound node V is placed at position i, but any outbound node other than the outbound node V is placed, the difference between the unit streams flowing in and out is equal to-1.
Each position where the outbound node is placed consumes a unit flow from the root, so that the connectivity of the network can be ensured.
And the policy matching module 103 performs outbound policy matching on the node flow set to obtain a policy content set.
Preferably, in the embodiment of the present invention, the outbound policy matching includes: and carrying out basic information configuration and resource configuration on outbound nodes in the node flow set.
In detail, the basic information configuration refers to attribute information of a configuration node, for example, each outbound node can be allocated to only one location, and at most one node can be placed at each location.
The resource allocation is to make maximum use of information to be transmitted, so as to achieve the goal of maximizing benefit, for example, marking the number of the first outbound, reminding the promoter to make detailed explanation when selling and promoting, etc.
The embodiment of the invention can call the outbound strategy from the preset outbound strategy database, and performs outbound strategy matching on the node flow set. Wherein, the outbound policy database can be the existing pair mysql database, etc.
Further, in the embodiment of the present invention, the performing outbound policy matching on the node flow set to obtain a policy content set includes:
calculating the matching degree between the outbound node and the outbound policy by using the following algorithm:
U ik ＝Σ[a,b]
wherein i represents an outbound node; k represents outbound policy; a represents the probability that the outbound node i belongs to the outbound policy k; b represents the probability that the outbound policy k belongs to the outbound node i; u (U) ik The matching degree between the outbound node i and the outbound strategy k is represented;
and carrying out outbound strategy matching according to the matching degree between the outbound node i and the outbound strategy k to obtain a strategy content set.
The service matching module 104 obtains the voice information, converts the voice information into text information, and performs service matching on the policy content set and the text information to obtain an outbound service set. It should be emphasized that, to further ensure the privacy and security of the outbound service set, the outbound service set may also be stored in a blockchain node.
The voice information of the user can be obtained when the robot performs telephone sales.
In detail, in the embodiment of the present invention, the step of obtaining the voice information and converting the voice information into text information includes:
constructing a text information conversion model, and training the text information conversion model;
and converting the voice information into the text information by using the trained text information conversion model.
Optionally, the converting the voice information into text information includes:
step I: randomly generating a training voice dialogue set and standard text information corresponding to the training voice dialogue set;
step II: converting the training voice dialogue set by using a text information conversion model to obtain converted text information;
step III: comparing and judging the converted text information and the standard text information to obtain the difference between the converted text information and the standard text information;
step IV: and B, when the difference between the converted text information and the standard text information is larger than a preset threshold value, adjusting parameters of the text information conversion model, and returning to the step B to continuously execute the conversion of the text information;
Step V: when the difference between the converted text information and the standard text information is smaller than or equal to the preset threshold value, completing the training, and generating a trained text information conversion model;
step VI: and converting the voice information into text information by using the trained text information conversion model.
Further, the following preset loss function is utilized
Calculating the difference between the converted text information and the standard text information:
wherein ,
representing the converted text information, Y representing the standard text information, ">
Representing a difference calculation->
Representing the difference between the converted text information and the standard text information.
Further, when the loss function
When the conversion text information is larger than or equal to a preset loss threshold value, the conversion text information and the standard text information are different, and then the conversion of the text information is re-executed after the parameters of the text information conversion model are adjusted;
when the loss function is
And when the loss threshold value is smaller than the loss threshold value, the training is completed and a trained text information conversion model is generated when the conversion text information and the standard text information are not different.
Further, the service matching is performed on the policy content set and the text information to obtain an outbound service set, and when the intelligent outbound system executes outbound actions, the content expressed in the text information is matched with outbound policies contained in the policy content set, so that the robot can automatically answer the voice information of the user.
In detail, the matching the content expressed in the text information with the outbound policy contained in the policy content set includes:
and carrying out similarity calculation on the similarity between the strategy content set and the text information by using the following formula:
Sim topic ＝Pearson(TP s ,TP T )
wherein ,Simtopic Similarity between the strategy content set and the text information; TP (Transmission protocol) T For the policy content set, TP S And the text information is obtained.
If the obtained calculation result is greater than or equal to a preset similarity threshold, the strategy content set and the text information are considered to be unmatched, and a new strategy content set is received again for calculation.
If the obtained calculation result is smaller than the preset similarity threshold, the strategy content set and the text information are considered to be matched, the strategy content set and the text information are collected to obtain the outbound service set, and the configuration of the outbound system is completed.
Fig. 3 is a schematic structural diagram of an electronic device for implementing the method for configuring an intelligent outbound system according to the present invention.
The electronic device 1 may comprise a processor 10, a memory 11 and a bus, and may further comprise a computer program, such as an intelligent outbound system configuration program 12, stored in the memory 11 and executable on the processor 10.
The memory 11 includes at least one type of readable storage medium, including flash memory, a mobile hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may in other embodiments also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only for storing application software installed in the electronic device 1 and various types of data, such as codes of an intelligent outbound system configuration program, etc., but also for temporarily storing data that has been output or is to be output.
The processor 10 may be comprised of integrated circuits in some embodiments, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functions, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, combinations of various control chips, and the like. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects respective parts of the entire electronic device using various interfaces and lines, executes or executes programs or modules (for example, executes an intelligent outbound system configuration program or the like) stored in the memory 11, and invokes data stored in the memory 11 to perform various functions of the electronic device 1 and process data.
The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.
Fig. 3 shows only an electronic device with components, it being understood by a person skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or may combine certain components, or may be arranged in different components.
For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for supplying power to each component, and preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device 1 may further include various sensors, bluetooth modules, wi-Fi modules, etc., which will not be described herein.
Further, the electronic device 1 may also comprise a network interface, optionally the network interface may comprise a wired interface and/or a wireless interface (e.g. WI-FI interface, bluetooth interface, etc.), typically used for establishing a communication connection between the electronic device 1 and other electronic devices.
The electronic device 1 may optionally further comprise a user interface, which may be a Display, an input unit, such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device 1 and for displaying a visual user interface.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The intelligent outbound system configuration program 12 stored in the memory 11 in the electronic device 1 is a combination of instructions that, when executed in the processor 10, may implement:
newly creating an outbound node set, performing cost calculation on each outbound node in the outbound node set according to a cost optimization function to obtain a cost optimization function value, and selecting the outbound nodes in the outbound node set according to the cost optimization function value to obtain a node assembly set;
Constructing a shunting structure for the node assembly set, and collecting outbound nodes in the node assembly set according to the shunting structure to obtain a node flow set;
performing outbound policy matching on the node flow set to obtain a policy content set;
and acquiring voice information, converting the voice information into text information, and performing service matching on the strategy content set and the text information to obtain an outbound service set. It should be emphasized that, to further ensure the privacy and security of the outbound service set, the outbound service set may also be stored in a blockchain node.
In particular, the specific implementation method of the above instructions by the processor 10 may refer to the description of the relevant steps in the corresponding embodiment of fig. 2, which is not repeated herein.
Further, the modules/units integrated in the electronic device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the system claims can also be implemented by means of software or hardware by means of one unit or means. The terms second, etc. are used to denote a name, but not any particular order.
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and the like. The Blockchain (Blockchain), which is essentially a decentralised database, is a string of data blocks that are generated by cryptographic means in association, each data block containing a batch of information of network transactions for verifying the validity of the information (anti-counterfeiting) and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, an application services layer, and the like.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (10)
1. An intelligent outbound system configuration method, the method comprising:
newly creating an outbound node set, performing cost calculation on each outbound node in the outbound node set according to a cost optimization function to obtain a cost optimization function value of each outbound node, and selecting the outbound nodes in the outbound node set according to the cost optimization function value to obtain a node assembly set;
constructing a shunting structure for the node assembly set, and collecting outbound nodes in the node assembly set according to the shunting structure to obtain a node flow set;
performing outbound policy matching on the node flow set to obtain a policy content set;
and acquiring voice information, converting the voice information into text information, and performing service matching on the strategy content set and the text information to obtain an outbound service set.
2. The intelligent outbound system configuration method according to claim 1, wherein the performing a cost calculation on each outbound node in the outbound node set according to a cost optimization function to obtain a cost optimization function value of each outbound node comprises:
and (3) performing cost calculation by using the following cost optimization function to obtain a cost optimization function value w:
wherein v represents an outbound node, i represents the location of the outbound node, x vi E {0,1}, x when the outbound node v is placed on location i vi Take the value 1, x when the outbound node v is not placed on the location i vi Taking a value of 0; c represents the number of positions of the outbound nodes in the outbound node set; v represents the number of outbound nodes in the outbound node set; p is p vi (x vi ) Representing x vi Cost operation of outbound nodes.
3. The intelligent outbound system configuration method according to claim 1 wherein the converting the voice information into text information comprises:
step I: randomly generating a training voice dialogue set and standard text information corresponding to the training voice dialogue set;
step II: converting the training voice dialogue set by using a text information conversion model to obtain converted text information;
Step III: comparing and judging the converted text information and the standard text information to obtain the difference between the converted text information and the standard text information;
step IV: when the difference between the converted text information and the standard text information is larger than a preset threshold value, parameters of the text information conversion model are adjusted, and then the step II is returned to continue to execute the conversion of the text information;
step V: when the difference between the converted text information and the standard text information is smaller than or equal to the preset threshold value, completing the training, and generating a trained text information conversion model;
step VI: and converting the voice information into text information by using the trained text information conversion model.
4. The intelligent outbound system configuration method according to claim 3, wherein comparing the converted text information with the standard text information to obtain a difference between the converted text information and the standard text information comprises:
using a predetermined loss function as follows
Calculating the difference between the converted text information and the standard text information:
wherein ,
representing the converted text information, Y representing the standard text information, " >
Representing a difference calculation->
Representing the difference between the converted text information and the standard text information.
5. The intelligent outbound system configuration method of claim 1 wherein said constructing a split structure for said node assembly set comprises:
the shunt structure is constructed using the following auxiliary variable formula:
f ij ≥0，(i，j)∈E
wherein ,fij And (3) representing the number of unit flows flowing from the positions I to j of the outbound nodes, wherein the unit flows are paths for constructing the shunt structure, I and j represent the positions of any two outbound nodes, E represents the set of edges between the positions of the outbound nodes in the node assembly set, and I is the set of the positions of the outbound nodes.
6. The intelligent outbound system configuration method according to claim 1, wherein performing outbound policy matching on the node flow set to obtain a policy content set comprises:
calculating the matching degree between the outbound node and the outbound policy by using the following algorithm:
U ik ＝∑[a，b]
wherein i represents an outbound node; k represents outbound policy; a represents the probability that the outbound node i belongs to the outbound policy k; b represents the probability that the outbound policy k belongs to the outbound node i; u (U) ik The matching degree between the outbound node i and the outbound strategy k is represented;
And carrying out outbound strategy matching according to the matching degree between the outbound node i and the outbound strategy k to obtain a strategy content set.
7. The intelligent outbound system configuration method according to claim 1, wherein the outbound service set is stored in a blockchain, and the performing outbound policy matching on the node flow set comprises:
and carrying out basic information configuration and resource configuration on outbound nodes in the node flow set.
8. An intelligent outbound system configuration device, said device comprising:
the node assembly module is used for newly creating an outbound node set, carrying out cost calculation on each outbound node in the outbound node set according to a cost optimization function to obtain a cost optimization function value, and selecting the outbound nodes in the outbound node set according to the cost optimization function value to obtain a node assembly set;
the node distribution module is used for constructing a distribution structure for the node assembly set, and collecting outbound nodes in the node assembly set according to the distribution structure to obtain a node flow set;
the policy matching module is used for carrying out outbound policy matching on the node flow set to obtain a policy content set;
The service matching module is used for acquiring voice information, converting the voice information into text information, and carrying out service matching on the strategy content set and the text information to obtain an outbound service set.
9. An electronic device, the electronic device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the intelligent outbound system configuration method according to any one of claims 1 to 7.
10. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the intelligent outbound system configuration method according to any one of claims 1 to 7.
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