CN116709224B - Method and device for improving intelligent message touch rate - Google Patents
Method and device for improving intelligent message touch rate Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/12—Messaging; Mailboxes; Announcements
- H04W4/14—Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/06—Message adaptation to terminal or network requirements
- H04L51/063—Content adaptation, e.g. replacement of unsuitable content
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/21—Monitoring or handling of messages
- H04L51/212—Monitoring or handling of messages using filtering or selective blocking
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/58—Message adaptation for wireless communication
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/18—Information format or content conversion, e.g. adaptation by the network of the transmitted or received information for the purpose of wireless delivery to users or terminals
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The disclosure provides a method and a device for improving the touch rate of intelligent messages, and relates to the technical field of data processing, wherein the method comprises the following steps: acquiring basic information of a short message to be sent; constructing a target short message compatible library, and comparing the short message type with a signal source state of the target short message compatible library input by a target user to obtain a signal source state comparison result; judging the signal source state comparison result; when the signal source state comparison result is passing, inputting the short message content into a preset content filter for filtering to obtain optimized short message content; obtaining an optimized issued short message based on the short message type and the optimized short message content; the method and the device for sending the optimized issued short message to the target user solve the technical problem that the intelligent message touch rate is low due to the fact that a control method for the intelligent message touch process is not specific and fine in the prior art, and can achieve the effect of improving the intelligent message touch rate by controlling the intelligent message touch process.
Description
Technical Field
The disclosure relates to the technical field of data processing, in particular to a method and a device for improving the touch rate of intelligent messages.
Background
Along with the development of internet technology, the use frequency of short messages is lower and lower due to the influence of smart phones and internet instant messaging tools, and the contact rate of the short messages is lower and lower. At present, the control method of the intelligent message touch process is not specific and fine in the prior art, so that the technical problem of low intelligent message touch rate is solved.
Disclosure of Invention
The disclosure provides a method and a device for improving the touch rate of an intelligent message, which are used for solving the technical problem that the touch rate of the intelligent message is lower because a control method for the touch process of the intelligent message is not specific and fine in the prior art.
According to a first aspect of the present disclosure, there is provided a method for improving the touch rate of an intelligent message, including: acquiring basic information of a short message to be sent, wherein the basic information comprises a short message type, short message content and a target user; constructing a target short message compatible library, and inputting the short message type and the target user into the target short message compatible library to perform signal source state comparison to obtain a signal source state comparison result; judging the signal source state comparison result; when the signal source state comparison result is passing, inputting the short message content into a preset content filter for filtering to obtain optimized short message content; obtaining an optimized sending short message based on the short message type and the optimized short message content; and sending the optimized sending short message to a target user.
According to a second aspect of the present disclosure, there is provided an apparatus for improving the touch rate of an intelligent message, including: the system comprises a basic information acquisition module, a message sending module and a message sending module, wherein the basic information acquisition module is used for acquiring basic information of a short message to be sent, and the basic information comprises a short message type, a short message content and a target user; the comparison result obtaining module is used for constructing a target short message compatible library, inputting the short message type and the target user into the target short message compatible library for signal source state comparison, and obtaining a signal source state comparison result; the comparison result judging module is used for judging the signal source state comparison result; the optimized short message content obtaining module is used for inputting the short message content into a preset content filter for filtering when the signal source state comparison result is that the signal source state comparison result is passed, so as to obtain optimized short message content; the optimized sending short message obtaining module is used for obtaining the optimized sending short message based on the short message type and the optimized short message content; and the optimized sending short message processing module is used for sending the optimized sending short message to a target user.
According to a third aspect of the present disclosure, there is provided an electronic device comprising: at least one processor; 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 method of the first aspect.
One or more technical schemes provided by the application have at least the following technical effects or advantages: according to the method and the device, basic information of the short message to be sent is obtained, wherein the basic information comprises the type of the short message, the content of the short message and a target user; constructing a target short message compatible library, and inputting the short message type and the target user into the target short message compatible library to perform signal source state comparison to obtain a signal source state comparison result; judging the signal source state comparison result; when the signal source state comparison result is passing, inputting the short message content into a preset content filter for filtering to obtain optimized short message content; obtaining an optimized sending short message based on the short message type and the optimized short message content; the method and the device solve the technical problem that the intelligent message touch rate is low because the control method for the intelligent message touch process is not specific and fine in the prior art, and can achieve the technical effect of improving the intelligent message touch rate by controlling the intelligent message touch process.
It should be understood that the description of this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
For a clearer description of the present disclosure or of the prior art, the drawings used in the description of the embodiments or of the prior art will be briefly described, it being obvious that the drawings in the description below are only exemplary and that other drawings may be obtained, without inventive effort, by a person skilled in the art, from the provided drawings.
Fig. 1 is a flowchart of a method for improving the touch rate of an intelligent message according to an embodiment of the disclosure;
fig. 2 is a schematic flow chart of constructing a target sms compatible library in a method for improving the touch rate of an intelligent message according to an embodiment of the disclosure;
fig. 3 is a schematic flow chart of inputting the short message content into a preset content filter for filtering in a method for improving the touch rate of an intelligent message according to an embodiment of the disclosure;
fig. 4 is a schematic structural diagram of a device for improving the touch rate of an intelligent message according to an embodiment of the disclosure;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
Reference numerals illustrate: the system comprises a basic information obtaining module 11, a comparison result obtaining module 12, a comparison result judging module 13, a short message content optimizing module 14, a short message sending optimizing module 15, a short message sending optimizing module 16, an electronic device 700, a processor 701, a memory 702 and a bus 703.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
In order to solve the technical problem that the control method for the intelligent message touch process is not specific and precise and causes lower intelligent message touch rate in the prior art, the inventor of the present disclosure creatively performs labor to obtain a method and a device for improving the intelligent message touch rate of the present disclosure:
example 1
Fig. 1 is a method for improving the touch rate of an intelligent message according to an embodiment of the present application, where the method includes:
step S100: acquiring basic information of a short message to be sent, wherein the basic information comprises a short message type, short message content and a target user;
specifically, basic information of a short message to be sent is obtained. The basic information of the short message comprises the short message type, the short message content and the target user. Further, the short message type comprises a 5G short message, an intelligent short message, a video short message and a text short message. The short message content comprises text or video content of the short message. The expression form of the target user is the equipment type and the signal source state of the target user, namely the target user for issuing the short message is determined through the equipment type and the signal source state of the target user.
Step S200: constructing a target short message compatible library, and inputting the short message type and the target user into the target short message compatible library to perform signal source state comparison to obtain a signal source state comparison result;
specifically, a target short message compatible library is constructed. The target short message compatible library comprises a short message type matching unit and a signal source judging unit. Further, the short message type of the short message to be sent is input into a short message type matching unit, and the specific type of the short message to be sent is obtained. And inputting the short message type into a short message type matching unit to perform short message type matching, and obtaining a short message type matching result. And obtaining a corresponding adaptive signal source state according to the short message type matching result. Further, the target signal source state of the target user is compared with the adaptive signal source state, and a signal source state comparison result is obtained.
Step S300: judging the signal source state comparison result;
specifically, the signal source comparison result includes a pass result and a fail result. Further, when the signal source state comparison result is that the signal source state does not pass, a preset strategy scheduler is activated, wherein the preset strategy scheduler is used for converting the short message type, and the short message content is obtained through the converted short message type. Further, when the result of the conversion analysis of the adaptation type is passing, the content of the short message is converted, and the short message is obtained and sent.
Step S400: when the signal source state comparison result is passing, inputting the short message content into a preset content filter for filtering to obtain optimized short message content;
specifically, when the signal source state comparison result is that the signal source state is passed, the short message content is obtained, and the short message content is input into a preset content filter for filtering, so that the optimized short message content is obtained. The preset content filter comprises a keyword recognition layer and a keyword optimization layer. Further, keyword recognition is carried out on the short message content through a keyword recognition layer in a preset content filter, the recognized keywords are extracted and optimized, and in the optimization process, the keywords are replaced to obtain optimized short message content.
Step S500: obtaining an optimized sending short message based on the short message type and the optimized short message content;
specifically, the optimized short message content is obtained according to the short message type and the optimized short message content, wherein the optimized short message content is issued, and the optimized issued short message is obtained. Further, the optimized sending short message is sent through different platforms, so that the contact rate of the short message is improved.
Step S600: and sending the optimized sending short message to a target user.
Specifically, the optimized sending short message is extracted to send to the target user, and when the target user receives the short message to perform click feedback, the touch of the optimized sending short message is completed, so that the touch rate of the short message is effectively improved, and the reasonable and accurate control of the intelligent message touch process is realized.
The method solves the technical problem that the intelligent message touch rate is low due to the fact that a control method for the intelligent message touch process is not specific and fine in the prior art, and achieves the effect of improving the intelligent message touch rate by controlling the intelligent message touch process.
As shown in fig. 2, step S200 in the method provided in the embodiment of the present application includes:
s210: acquiring a plurality of short message types and a plurality of adapting signal source states, wherein the short message types and the adapting signal source states have corresponding relations;
s220: the short message type comprises a 5G short message, an intelligent short message, a video short message and a text short message;
s230: taking a plurality of short message types as child nodes to store data, and constructing a short message type matching unit;
s240: the adaptive signal source state is used as a leaf node of the child node to store data, and a signal source state judging unit is constructed;
s250: and obtaining the target short message compatible library based on the short message type matching unit and the signal source state judging unit.
Specifically, a plurality of short message types and a plurality of adaptation signal source states are obtained based on big data, wherein the signal source states comprise network signal source states such as 2G, 4G, 5G and the like. Further, the short message type and the adaptive signal source state have a corresponding relationship. The short message type comprises a 5G short message, an intelligent short message, a video short message and a text short message. For example, the 5G sms in the sms type has a correspondence with the 5G signal in the adapted signal source state. The intelligent short message in the short message type has a corresponding relation with the 4G signal in the adaptive signal source state.
Further, the plurality of short message types are used as the child nodes for data storage, and a short message type matching unit is constructed through the child nodes. And (3) taking the adaptive signal source state as a leaf node of the child node for data storage, and constructing a signal source state judging unit through the leaf node. And obtaining a target short message compatible library based on the short message type matching unit and the signal source state judging unit.
The target short message compatible library is constructed, and the effect of improving the intelligent message touch rate can be achieved by controlling the intelligent message touch process.
The step S200 in the method provided by the embodiment of the present application includes:
s260: obtaining a target signal source state based on the target user;
s270: inputting the short message type into the short message type matching unit for short message type matching, and obtaining an adaptive signal source state according to a short message type matching result;
s280: and comparing the target signal source state with the adaptive signal source state to obtain the signal source state comparison result.
Specifically, networking actions are performed according to the target user, and the target signal source state of the target user is obtained. The target signal source state is the signal source type of the target user. Further, the short message type is used as input data, and short message type matching is carried out through a short message type matching unit, so that a short message type matching result is obtained. And extracting the short message type in the short message type matching result through the corresponding relation between the short message type and the adaptation signal source state, and obtaining the adaptation signal source state.
Further, the signal source state judgment unit is used for comparing the target signal source state with the adaptive signal source state, and a signal source state comparison result is obtained. The signal source state comparison result includes that the target signal source state is matched through matching of the matched signal source state, namely, the target signal source state and the matched signal source state are compared and matched. The signal source state comparison result further comprises a target signal source state failing to pass the adaptation signal source state, namely the target signal source state and the adaptation signal source state are not matched.
The short message type and the target short message compatible library input by the target user are compared in signal source state, and the intelligent message touch rate can be improved by controlling the intelligent message touch process.
The step S300 in the method provided by the embodiment of the present application includes:
s310: when the signal source state comparison result is that the signal source state does not pass, activating a preset strategy scheduler;
s320: a multi-layer template falling strategy is embedded in the preset strategy scheduler, wherein the bottommost layer of the multi-layer template falling strategy is an application program message;
s330: and carrying out short message adaptation type analysis on the target signal source state according to the multi-layer template fallback strategy to obtain a short message adaptation type analysis result.
Specifically, when the signal source state comparison result is that the signal source state fails, that is, the target signal source state and the adaptive signal source state are not matched, a preset strategy scheduler is activated. The preset strategy dispatcher is embedded with a multi-layer template fallback strategy for changing the short message content. Further, the bottommost unit of the multi-layer template fallback strategy is an application message issuing unit used for issuing the short message content.
Further, short message adaptation type analysis is carried out on the target signal source state according to the multi-layer template fallback strategy, and a short message adaptation type analysis result is obtained, wherein the short message adaptation type analysis result comprises a short message type.
And performing short message adaptation type analysis on the target signal source state according to the multi-layer template fallback strategy to obtain a short message adaptation type analysis result, wherein the effect of improving the intelligent message touch rate can be achieved by controlling the intelligent message touch process.
The step S300 in the method provided by the embodiment of the present application includes:
s340: performing adaptation type conversion analysis on the short message content based on the short message adaptation type analysis result;
s350: when the adaptation type conversion analysis result is passing, converting the short message content according to the short message adaptation type analysis result to obtain a short message content conversion result, and sending a short message based on the short message content conversion result;
s360: and stopping sending the short message when the adaptation type conversion analysis result is that the adaptation type conversion analysis result is not passed.
Specifically, performing adaptation type conversion analysis on the short message content according to a short message adaptation type analysis result, wherein the adaptation degree of the text or the picture in the short message content and the short message type in the short message adaptation type analysis result is analyzed, and if the adaptation degree is lower, converting and updating the text or the picture in the short message content to obtain an adaptation type conversion analysis result. Wherein the adaptation type transformation analysis results include transformation passing results and transformation failing results.
Further, when the adaptation type conversion analysis result is a conversion passing result, converting the short message content according to the short message adaptation type analysis result to obtain a short message content conversion result, wherein the short message content conversion result comprises text conversion or picture conversion. Further, the short message content conversion result is sent by short message, namely the short message is sent. Further, the reasons for the failed conversion result include that text or picture content in the short message content does not accord with the short message specification, the sending of the short message is stopped, and the short message content is filtered. The short message specification is obtained based on big data.
And stopping sending the short message when the adaptation type conversion analysis result is that the adaptation type conversion analysis result does not pass, and controlling the intelligent message touch process to achieve the effect of improving the intelligent message touch rate.
As shown in fig. 3, step S400 in the method provided in the embodiment of the present application includes:
s410: the content filter is constructed based on a neural network and comprises a short message input layer, a keyword identification layer, a keyword optimization layer and a short message output layer;
s420: inputting the short message content into the short message input layer, and carrying out keyword recognition through the keyword recognition layer to obtain a keyword recognition result;
s430: inputting the keyword recognition result into the keyword optimization layer to perform keyword optimization, so as to obtain a keyword optimization result;
s440: and replacing the keyword identification result according to the keyword optimization result to generate optimized short message content, and outputting the optimized short message content through the short message output layer.
Specifically, a content filter is constructed based on a neural network, and comprises a short message input layer, a keyword recognition layer, a keyword optimization layer and a short message output layer. The keyword recognition layer is used for recognizing keywords of marketing content. The keyword optimization layer is used for replacing the keywords obtained through the keyword recognition layer to perform optimization.
Further, the short message content is used as input data to be input into a short message input layer, and the keyword recognition layer is used for recognizing keywords of texts in the short message content, so that a keyword recognition result is obtained. Further, the keyword recognition result is input into a keyword optimization layer, and keyword optimization is carried out on text keywords in the short message content, so that a keyword optimization result is obtained. Further, replacing the keyword recognition result according to the keyword optimization result to generate optimized short message content, and outputting the optimized short message content through a short message output layer.
The short message content is input into a preset content filter for filtering, and the effect of improving the intelligent message touch rate can be achieved by controlling the intelligent message touch process.
Step S420 in the method provided by the embodiment of the present application includes:
s421: based on big data, acquiring a plurality of historical harassment messages;
s422: carrying out semantic segmentation on a plurality of historical disturbance short messages to obtain a plurality of historical disturbance fields;
s423: and taking the top N fields with highest occurrence frequency in the plurality of historical disturbance fields as keywords, embedding the keywords into the keyword recognition layer, wherein N is an integer greater than 10.
Specifically, based on big data, searching is carried out by taking the harassment messages as index conditions, and a plurality of historical harassment messages are obtained. And carrying out semantic segmentation on the plurality of historical harassment messages, and identifying the content and the position existing in the content of the messages to obtain a plurality of historical harassment fields.
Further, a plurality of historical disturbance fields are subjected to serialization processing. And performing descending order treatment on the plurality of historical disturbance fields according to the occurrence frequency to obtain a serialization treatment result. Further, the top N fields with highest occurrence frequency in the serialization processing results of the plurality of historical disturbance fields are used as keywords, the keywords are embedded into a keyword recognition layer, and N is an integer larger than 10.
The first N fields with highest occurrence frequency in the plurality of historical disturbance fields are used as keywords, the keywords are embedded into the keyword recognition layer, and the intelligent message touch rate can be improved by controlling the intelligent message touch process.
Step S440 in the method provided by the embodiment of the present application includes:
s441: the keywords and the corresponding historical harassment messages are used as optimization targets, keyword optimization is conducted through a language expert system in combination with the content of the historical harassment messages, and optimization keywords are obtained;
s442: constructing an optimized training data set based on the keywords, the historical disturbance messages and the optimized keywords;
s443: and training and testing the keyword optimization layer through the optimization training data set to obtain the keyword optimization layer meeting the expectations.
Specifically, the keywords and the corresponding historical disturbance messages are used as optimization targets, keyword optimization is carried out by combining the content of the historical disturbance messages through a language expert system, and the keywords are replaced or removed in the optimization process, so that the optimized keywords are obtained. The language expert system is used for optimizing keywords of the historical harassment short message content. Further, an optimized training data set is constructed based on the keywords, the historical harassment messages and the optimized keywords. And training and testing the keyword optimization layer through the optimization training data set, and obtaining the keyword optimization layer in the content filter which meets the expectations after training to convergence.
The keyword optimization layer is trained and tested through the optimization training data set, the keyword optimization layer meeting expectations is obtained, and the intelligent message touch rate can be improved through controlling the intelligent message touch process.
Example two
Based on the same inventive concept as the method for improving the touch rate of the intelligent message in the foregoing embodiment, as shown in fig. 4, the present application further provides an apparatus for improving the touch rate of the intelligent message, where the apparatus includes:
the basic information obtaining module 11 is used for obtaining basic information of a short message to be sent, wherein the basic information comprises a short message type, a short message content and a target user;
the comparison result obtaining module 12 is configured to construct a target short message compatible library, and input the short message type and the target user into the target short message compatible library to perform signal source state comparison, so as to obtain a signal source state comparison result;
the comparison result judging module 13 is used for judging the comparison result of the signal source state;
the optimized short message content obtaining module 14 is configured to input the short message content into a preset content filter for filtering when the signal source state comparison result is that the signal source state comparison result is passed, so as to obtain optimized short message content;
the optimized sending short message obtaining module 15 is used for obtaining an optimized sending short message based on the short message type and the optimized short message content;
and the optimized sending short message processing module 16 is used for sending the optimized sending short message to a target user.
Further, the system further comprises:
the corresponding relation obtaining module is used for obtaining a plurality of short message types and a plurality of adapting signal source states, wherein the short message types and the adapting signal source states have corresponding relation;
the short message type obtaining module is used for obtaining the short message type including 5G short messages, intelligent short messages, video short messages and text short messages;
the matching unit construction module is used for storing data by taking a plurality of short message types as child nodes and constructing a short message type matching unit;
the judging unit constructing module is used for storing data by taking the adaptive signal source state as a leaf node of the child node and constructing a signal source state judging unit;
and the compatible library obtaining module is used for obtaining the target short message compatible library based on the short message type matching unit and the signal source state judging unit.
Further, the system further comprises:
the signal source state obtaining module is used for obtaining a target signal source state based on the target user;
the adaptation signal source obtaining module is used for inputting the short message type into the short message type matching unit to perform short message type matching and obtaining an adaptation signal source state according to a short message type matching result;
the state comparison result obtaining module is used for comparing the target signal source state with the adaptive signal source state to obtain the signal source state comparison result.
Further, the system further comprises:
the strategy scheduler obtaining module is used for activating a preset strategy scheduler when the signal source state comparison result is that the signal source state comparison result does not pass;
the fallback strategy obtaining module is used for embedding a multi-layer template fallback strategy in the preset strategy scheduler, wherein the bottommost layer of the multi-layer template fallback strategy is an application program message;
the analysis result obtaining module is used for carrying out short message adaptation type analysis on the target signal source state according to the multi-layer template fallback strategy to obtain a short message adaptation type analysis result.
Further, the system further comprises:
the conversion analysis module is used for carrying out adaptation type conversion analysis on the short message content based on the short message adaptation type analysis result;
the conversion result obtaining module is used for converting the short message content according to the short message adaptation type analysis result when the adaptation type conversion analysis result is passed, obtaining a short message content conversion result and sending a short message based on the short message content conversion result;
and the conversion result processing module is used for stopping sending the short message when the conversion analysis result of the adaptation type is not passed.
Further, the system further comprises:
the content filter obtaining module is used for constructing the content filter based on a neural network, and the content filter comprises a short message input layer, a keyword identification layer, a keyword optimization layer and a short message output layer;
the recognition result obtaining module is used for inputting the short message content into the short message input layer, and carrying out keyword recognition through the keyword recognition layer to obtain a keyword recognition result;
the optimizing result obtaining module is used for inputting the keyword recognition result into the keyword optimizing layer to perform keyword optimization, so as to obtain a keyword optimizing result;
and the optimizing result processing module is used for replacing the keyword identification result according to the keyword optimizing result, generating optimized short message content and outputting the optimized short message content through the short message output layer.
Further, the system further comprises:
the harassment short message obtaining module is used for obtaining a plurality of historical harassment short messages based on big data;
the harassment field obtaining module is used for carrying out semantic segmentation on the plurality of historical harassment messages to obtain a plurality of historical harassment fields;
and the keyword acquisition module is used for taking the top N fields with highest occurrence frequency in the plurality of historical disturbance fields as keywords, embedding the keywords into the keyword recognition layer, wherein N is an integer larger than 10.
Further, the system further comprises:
the optimizing keyword obtaining module is used for taking the keywords and the corresponding historical harassment messages as optimizing targets, and carrying out keyword optimization by combining the historical harassment message contents through the language expert system to obtain optimizing keywords;
the optimized training data set obtaining module is used for constructing an optimized training data set based on the keywords, the historical harassment messages and the optimized keywords;
and the keyword optimization layer acquisition module is used for training and testing the keyword optimization layer through the optimization training data set to acquire the keyword optimization layer which accords with the expectation.
The specific example of a method for improving the touch rate of an intelligent message in the first embodiment is also applicable to a device for improving the touch rate of an intelligent message in the present embodiment, and a person skilled in the art can clearly know the device for improving the touch rate of an intelligent message in the present embodiment through the foregoing detailed description of the method for improving the touch rate of an intelligent message, so that the description is omitted herein for brevity. The device disclosed in the embodiment corresponds to the method disclosed in the embodiment, so that the description is simpler, and the relevant points refer to the description of the method.
Example III
Fig. 5 is a schematic diagram according to a third embodiment of the present disclosure, as shown in fig. 5, an electronic device 700 in the present disclosure may include: a processor 701 and a memory 702.
A memory 702 for storing a program; the memory 702 may include a volatile memory (english: volatile memory), such as a random-access memory (RAM), such as a static random-access memory (SRAM), a double data rate synchronous dynamic random-access memory (DDR SDRAM), etc.; the memory may also include a non-volatile memory (English) such as a flash memory (English). The memory 702 is used to store computer programs (e.g., application programs, functional modules, etc. that implement the methods described above), computer instructions, etc., which may be stored in one or more of the memories 702 in partitions. And the above-described computer programs, computer instructions, data, etc. may be called by the processor 701.
The computer programs, computer instructions, etc., described above may be stored in one or more of the memories 702 in partitions. And the above-described computer programs, computer instructions, etc. may be called by the processor 701.
A processor 701 for executing a computer program stored in a memory 702 to implement the steps of the method according to the above embodiment.
Reference may be made in particular to the description of the embodiments of the method described above.
The processor 701 and the memory 702 may be separate structures or may be integrated structures integrated together. When the processor 701 and the memory 702 are separate structures, the memory 702 and the processor 701 may be coupled by a bus 703.
The electronic device in this embodiment may execute the technical scheme in the above method, and the specific implementation process and the technical principle are the same, which are not described herein again.
According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.
According to an embodiment of the present disclosure, the present disclosure also provides a computer program product comprising: a computer program stored in a readable storage medium, from which at least one processor of an electronic device can read, the at least one processor executing the computer program causing the electronic device to perform the solution provided by any one of the embodiments described above.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (6)
1. A method for improving the touch rate of intelligent messages, the method comprising:
acquiring basic information of a short message to be sent, wherein the basic information comprises a short message type, short message content and a target user;
constructing a target short message compatible library, and inputting the short message type and the target user into the target short message compatible library to perform signal source state comparison to obtain a signal source state comparison result;
judging the signal source state comparison result;
when the signal source state comparison result is passing, inputting the short message content into a preset content filter for filtering to obtain optimized short message content;
obtaining an optimized sending short message based on the short message type and the optimized short message content;
sending the optimized sending short message to a target user;
the construction of the target short message compatible library further comprises the following steps:
acquiring a plurality of short message types and a plurality of adapting signal source states, wherein the short message types and the adapting signal source states have corresponding relations;
the short message type comprises a 5G short message, an intelligent short message, a video short message and a text short message;
taking a plurality of short message types as child nodes to store data, and constructing a short message type matching unit;
the adaptive signal source state is used as a leaf node of the child node to store data, and a signal source state judging unit is constructed;
the target short message compatible library is obtained based on the short message type matching unit and the signal source state judging unit;
the short message type and the target user are input into the target short message compatible library to carry out signal source state comparison, and the method further comprises the following steps:
obtaining a target signal source state based on the target user;
inputting the short message type into the short message type matching unit for short message type matching, and obtaining an adaptive signal source state according to a short message type matching result;
comparing the target signal source state with the adaptive signal source state to obtain a signal source state comparison result;
wherein the method further comprises:
when the signal source state comparison result is that the signal source state does not pass, activating a preset strategy scheduler;
a multi-layer template falling strategy is embedded in the preset strategy scheduler, wherein the bottommost layer of the multi-layer template falling strategy is an application program message;
performing short message adaptation type analysis on the target signal source state according to the multi-layer template fallback strategy to obtain a short message adaptation type analysis result;
performing adaptation type conversion analysis on the short message content based on the short message adaptation type analysis result;
when the adaptation type conversion analysis result is passing, converting the short message content according to the short message adaptation type analysis result to obtain a short message content conversion result, and sending a short message based on the short message content conversion result;
and stopping sending the short message when the adaptation type conversion analysis result is that the adaptation type conversion analysis result is not passed.
2. The method of claim 1, wherein the inputting the SMS content into a preset content filter for filtering, further comprises,
the content filter is constructed based on a neural network and comprises a short message input layer, a keyword identification layer, a keyword optimization layer and a short message output layer;
inputting the short message content into the short message input layer, and carrying out keyword recognition through the keyword recognition layer to obtain a keyword recognition result;
inputting the keyword recognition result into the keyword optimization layer to perform keyword optimization, so as to obtain a keyword optimization result;
and replacing the keyword identification result according to the keyword optimization result to generate optimized short message content, and outputting the optimized short message content through the short message output layer.
3. The method of claim 2, wherein the method further comprises:
based on big data, acquiring a plurality of historical harassment messages;
carrying out semantic segmentation on a plurality of historical disturbance short messages to obtain a plurality of historical disturbance fields;
and taking the top N fields with highest occurrence frequency in the plurality of historical disturbance fields as keywords, embedding the keywords into the keyword recognition layer, wherein N is an integer greater than 10.
4. A method as claimed in claim 3, wherein the method further comprises:
the keywords and the corresponding historical harassment messages are used as optimization targets, keyword optimization is conducted through a language expert system in combination with the content of the historical harassment messages, and optimization keywords are obtained;
constructing an optimized training data set based on the keywords, the historical disturbance messages and the optimized keywords;
and training and testing the keyword optimization layer through the optimization training data set to obtain the keyword optimization layer meeting the expectations.
5. An apparatus for increasing the rate of intelligent messaging, for implementing a method for increasing the rate of intelligent messaging as claimed in any of claims 1-4, the apparatus comprising:
the system comprises a basic information acquisition module, a message sending module and a message sending module, wherein the basic information acquisition module is used for acquiring basic information of a short message to be sent, and the basic information comprises a short message type, a short message content and a target user;
the comparison result obtaining module is used for constructing a target short message compatible library, inputting the short message type and the target user into the target short message compatible library for signal source state comparison, and obtaining a signal source state comparison result;
the comparison result judging module is used for judging the signal source state comparison result;
the optimized short message content obtaining module is used for inputting the short message content into a preset content filter for filtering when the signal source state comparison result is that the signal source state comparison result is passed, so as to obtain optimized short message content;
the optimized sending short message obtaining module is used for obtaining the optimized sending short message based on the short message type and the optimized short message content;
the optimization sending short message processing module is used for sending the optimization sending short message to a target user;
the corresponding relation obtaining module is used for obtaining a plurality of short message types and a plurality of adapting signal source states, wherein the short message types and the adapting signal source states have corresponding relation;
the short message type obtaining module is used for obtaining the short message type including 5G short messages, intelligent short messages, video short messages and text short messages;
the matching unit construction module is used for storing data by taking a plurality of short message types as child nodes and constructing a short message type matching unit;
the judging unit constructing module is used for storing data by taking the adaptive signal source state as a leaf node of the child node and constructing a signal source state judging unit;
the compatible library obtaining module is used for obtaining the target short message compatible library based on the short message type matching unit and the signal source state judging unit;
the signal source state obtaining module is used for obtaining a target signal source state based on the target user;
the adaptation signal source obtaining module is used for inputting the short message type into the short message type matching unit to perform short message type matching and obtaining an adaptation signal source state according to a short message type matching result;
the state comparison result obtaining module is used for comparing the target signal source state with the adaptive signal source state to obtain a signal source state comparison result;
the strategy scheduler obtaining module is used for activating a preset strategy scheduler when the signal source state comparison result is that the signal source state comparison result does not pass;
the fallback strategy obtaining module is used for embedding a multi-layer template fallback strategy in the preset strategy scheduler, wherein the bottommost layer of the multi-layer template fallback strategy is an application program message;
the analysis result obtaining module is used for carrying out short message adaptation type analysis on the target signal source state according to the multi-layer template fallback strategy to obtain a short message adaptation type analysis result;
the conversion analysis module is used for carrying out adaptation type conversion analysis on the short message content based on the short message adaptation type analysis result;
the conversion result obtaining module is used for converting the short message content according to the short message adaptation type analysis result when the adaptation type conversion analysis result is passed, obtaining a short message content conversion result and sending a short message based on the short message content conversion result;
and the conversion result processing module is used for stopping sending the short message when the conversion analysis result of the adaptation type is not passed.
6. An electronic device, comprising:
at least one processor;
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 method of any one of claims 1-4.
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