CN117793652A - New attention user guiding method based on 5GRCSchatbot - Google Patents
New attention user guiding method based on 5GRCSchatbot Download PDFInfo
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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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Abstract
The invention discloses a new attention user guiding method based on 5 GRCSchatbots, which belongs to the technical field of 5G information and comprises the following steps: establishing an old user information base; establishing a user-guided call; establishing a new user identification processing mechanism; establishing a user-guided speech operation triggering mechanism; the new user enters 5GRCSchatbot showing the user guided call. The invention adopts the novel attention user guiding method based on the 5GRCSchatbot, solves the problem that the 5GRCSchatbot can not realize the function of automatically triggering user welcome or user task guiding of the novel attention user similar to a micro-letter service number, and realizes a service triggering mechanism of the 5GRCSchatbot to the novel user.
Description
Technical Field
The invention relates to the technical field of 5G information, in particular to a new attention user guiding method based on 5 GRCSchatbot.
Background
The 5GRCS is RCS message service under 5G network, is upgrade of SMS service, is basic telecommunication service of operators, realizes leap of service experience based on IP technology, and the 5GRCSchatbot is service interface facing consumers, is similar to service experience of micro-letter service number, and has more media formats supported by the 5GRCSchatbot and richer expression forms.
With the high-speed development of communication networks and the popularization of 5G networks/5G terminals, the traditional short message service can not meet the more colorful requirements of vast clients on information communication, 5G messages are in brand-new service forms, the application scenes are continuously enriched, the expansion and the extension from communication services to information services are realized, and 'brand new message experience', 'brand new operation area' and 'brand new ecological environment' can be brought to clients.
The main competitive product of 5 GRCSchatbots is a micro-letter service number, and the micro-letter service number has completed the use habit cultivation of users, so the initial business development of 5 GRCSchatbots will imitate the functions of the micro-letter service number as far as possible, so as to reduce the use threshold and the learning cost of users. At present, the 5GRCSchatbot has no function similar to a new user of a micro-letter service number for paying attention to the service number and automatically replying to a guide language, so that the user is inconvenient to use.
Disclosure of Invention
The invention aims to provide a new attention user guiding method based on a 5GRCSchatbot, which solves the problem that the 5GRCSchatbot can not realize the function of automatically triggering user welcome or user task guiding of a new attention user similar to a micro-letter service number, and realizes the function of the same utility of the 5GRCSchatbot when the new user serves.
In order to achieve the above object, the present invention provides a new attention user guiding method based on 5GRCSchatbot, comprising the steps of:
s1, establishing an old user information base, recording user information focused on the Chatbot, and collecting the user information;
s2, establishing a user guiding call operation;
s3, establishing a new user identification processing mechanism;
s4, establishing a user guided voice operation triggering mechanism;
s5, the new user enters a 5GRCSchatbot to display the user-guided call, and the 5GRCSchatbot industry platform pushes the preset call to the new user.
Preferably, the new user is a user who has not used 5GRCSchatbot services, and the old user is a user who has used 5GRCSchatbot services at least once and has records in the 5GRCSchatbot database.
Preferably, in the step 1, a 5GRCSchatbot industry platform is adopted to collect user information, the collection mode includes platform API interface calling and file importing, and the acquisition of the old user information and the establishment of the information base both accord with industry platform related specifications.
Preferably, in the step S2, a 5GRCSchatbot industry platform is adopted to preset corresponding conversation information, and the conversation information is edited by the 5GRCSchatbot industry platform and stored in a database of the 5 GRCSchatbot.
Preferably, in the step S3, when the user uses the 5GRCSchatbot, the 5GRCSchatbot obtains a user access request and obtains user basic information, where the basic information includes a mobile phone number, the 5GRCSchatbot service queries a user information base through the user mobile phone number, and the user already exists in the user information base, and identifies the user as an old user, and identifies the user not exists in the user information base, and identifies the user as a new user.
Preferably, the specific content of the step S3 is that an ES bulk batch processing API is adopted to clean old user data, and then the old user data is screened, which includes the steps of:
s31, creating an index in advance and using a fixed index template;
s32, inquiring a large amount of old user data by using a rolling inquiry API, wherein the step of using the rolling inquiry API comprises the following steps:
s321, executing initial query by using a rolling query API, and setting a rolling query parameter to specify the retention time of a rolling query context;
s322, the first batch of old user data is retrieved by using the rolling inquiry, and the rolling inquiry ID is obtained.
S323, searching the old user data of the subsequent batch by using the rolling inquiry API and the rolling inquiry ID until the old user data is searched;
s33, after the old user data are filtered, the identified new user information is stored and recorded as the old user data information.
Preferably, in the step S4, the user information is matched with the old user information base, and after the matching is met, the relevant phone operation is replied, and the matching phone operation uses different data aggregation query modes, including:
the field types supported by the terminal aggregation include character types, integer types, floating point types and date types, and the statistics of the number of different values in the fields of the field types is supported;
the Composite aggregation is a multi-bucket aggregation, the key of the socket is formed by combining a plurality of fields, the Composite aggregation supports paging inquiry, and aggregation results are obtained in batches under the condition of a plurality of sockets;
metric indicator aggregation, aggregation of Metric indicator classes such as avg average, max maximum, min minimum, etc., is typically used as a child aggregation;
stats statistics aggregation for counting minimum, maximum, sum, average of values in the field and total number of documents.
Therefore, the invention adopts the novel attention user guiding method based on the 5GRCSchatbot, solves the problem that the 5GRCSchatbot can not realize the function of automatically triggering user welcome or user task guiding of the novel attention user similar to a micro-letter service number, and realizes a service triggering mechanism of the 5GRCSchatbot to the novel user.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
FIG. 1 is a method flow diagram of an embodiment of a new attention user guidance method based on a 5GRCSchatbot of the present invention;
FIG. 2 is a schematic diagram of an ES cluster index writing process according to an embodiment of a new attention user guidance method based on a 5GRCSchatbot of the present invention;
fig. 3 is a new user-guided session push flow of an embodiment of a new attention user-guided method based on a 5GRCSchatbot of the present invention.
Detailed Description
Examples
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-3, a new attention user guiding method based on 5 grcschatbots includes the steps of:
s1, establishing an old user information base, recording user information focused on the Chatbot, and acquiring the user information by adopting a 5GRCSchatbot industry platform; the method for collecting the user information comprises the steps of calling a platform API interface and importing files, wherein the acquisition of the old user information and the establishment of an information base are in accordance with related specifications of an industry platform.
S2, establishing a user-guided call, presetting corresponding call information by using a 5GRCSchatbot industry platform, editing by using the 5GRCSchatbot industry platform, and storing in a user-guided call management table of a database of the 5GRCSchatbot, wherein the call information is service profile information or usage manual information.
S3, establishing a new user identification processing mechanism; when a user uses a 5GRCSchatbot, the 5GRCSchatbot obtains a user access request and user basic information, wherein the basic information comprises a mobile phone number, the 5GRCSchatbot service queries a user information base through the mobile phone number of the user, the user is identified as an old user when the user exists in the user information base, and the user is identified as a new user when the user does not exist in the user information base.
The method comprises the steps of cleaning old user data by adopting a bulk batch processing API of the ES, and then screening the old user data, wherein the steps are as follows:
s31, creating an index in advance and using a fixed index template. The index is established in advance, and a fixed index template is used, so that a large amount of metadata updating operation during index switching can be avoided, and the stability and writing performance of the cluster are guaranteed.
S32, using the scrolling query API to query a large amount of old user data. The rolling query API is a way provided by the ES to query large amounts of data that can be retrieved from the ES without affecting cluster performance. The client sends a request to any one node, which becomes a coordinate node. The coordinate node performs hash routing on the data record main key, and forwards the request to the corresponding node, and at the moment, a round-robin random polling algorithm is used to randomly select one from the main card and all the replicas so as to balance the load of the read request. The node receiving the request returns a file to the coordinate node, and the coordinate node returns the file to the client. The step of using the rolling query API includes:
s321, executing initial query by using the rolling query API, and setting a rolling query parameter to specify the retention time of the rolling query context.
S322, the first batch of old user data is retrieved by using the rolling inquiry, and the rolling inquiry ID is obtained.
S323, searching the old user data of the subsequent batch by using the rolling inquiry API and the rolling inquiry ID until the old user data is searched.
S33, after the old user data are filtered, the identified new user information is stored and recorded as the old user data information.
S4, establishing a user guided speech operation triggering mechanism. Matching the user information with the old user information base, and replying the related telephone operation according to the condition, wherein the matching telephone operation uses different data aggregation query modes, and the method comprises the following steps:
the field types supported by the terminal aggregation include character type, integer type, floating point type and date type, and the statistics of the number of different values in the fields of the field types is supported.
The Composite aggregation is a multi-bucket aggregation, the key of the socket is formed by combining a plurality of fields, the Composite aggregation supports paging inquiry, and aggregation results are obtained in batches under the condition of a large number of the sockets.
Metric indicator aggregation, aggregation of Metric indicator classes such as avg average, max maximum, min minimum, etc., is typically used as a child aggregation.
Stats statistics aggregation for counting minimum, maximum, sum, average of values in the field and total number of documents.
S5, the new user enters a 5GRCSchatbot to display the user-guided call, and the 5GRCSchatbot industry platform pushes the preset call to the new user.
The new user is a user who has not used the 5GRCSchatbot service, and the old user is a user who has used the 5GRCSchatbot service at least once and has records in the 5GRCSchatbot database.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention and not for limiting it, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that: the technical scheme of the invention can be modified or replaced by the same, and the modified technical scheme cannot deviate from the spirit and scope of the technical scheme of the invention.
Claims (7)
1. A new attention user guiding method based on 5 grcschatbots, characterized by comprising the steps of:
s1, establishing an old user information base, recording user information focused on the Chatbot, and collecting the user information;
s2, establishing a user guiding call operation;
s3, establishing a new user identification processing mechanism;
s4, establishing a user guided voice operation triggering mechanism;
s5, the new user enters a 5GRCSchatbot to display the user-guided call.
2. The new attention user guidance method based on 5 grcschatbots of claim 1, wherein: the new user is a user who has not used 5GRCSchatbot services, and the old user is a user who has used 5GRCSchatbot services at least once and has records in the 5GRCSchatbot database.
3. The new attention user guidance method based on 5 grcschatbots of claim 1, wherein: in the step 1, a 5GRCSchatbot industry platform is adopted to collect user information, and the collection mode comprises platform API interface calling and file importing.
4. The new attention user guidance method based on 5 grcschatbots of claim 1, wherein: in the step S2, a 5GRCSchatbot industry platform is adopted to preset corresponding conversation information, and the conversation information is edited by the 5GRCSchatbot industry platform and stored in a database of the 5 GRCSchatbot.
5. The new attention user guidance method based on 5 grcschatbots of claim 1, wherein: in the step S3, when the user uses the 5GRCSchatbot, the 5GRCSchatbot obtains a user access request and obtains user basic information, wherein the basic information includes a mobile phone number, the 5GRCSchatbot service queries a user information base through the user mobile phone number, the user is identified as an old user if the user already exists in the user information base, and the user is identified as a new user if the user does not exist in the user information base.
6. The method for guiding the new focused user based on the 5GRCSchatbot as set forth in claim 5, wherein the step S3 is specifically implemented by cleaning old user data, and then screening the old user data, and includes the steps of:
s31, creating an index in advance and using a fixed index template;
s32, inquiring a large amount of old user data by using a rolling inquiry API, wherein the rolling inquiry API comprises the following steps:
s321, executing initial query by using a rolling query API, and setting a rolling query parameter to specify the retention time of a rolling query context;
s322, the first batch of old user data is retrieved by using the rolling inquiry, and the rolling inquiry ID is obtained.
S323, searching the old user data of the subsequent batch by using the rolling inquiry API and the rolling inquiry ID until the old user data is searched;
s33, after the old user data are filtered, the identified new user information is stored and recorded as the old user data information.
7. The new attention user guidance method based on 5 grcschatbots of claim 1, wherein: in the step S4, user information is matched with an old user information base, and a correlation call is replied after the condition is met, wherein the matching call uses different data aggregation query modes including terminal aggregation, composite aggregation, metric index aggregation and Stats statistical aggregation.
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Patent Citations (6)
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