CN111723134A - Information processing method, information processing device, electronic equipment and storage medium - Google Patents

Information processing method, information processing device, electronic equipment and storage medium Download PDF

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Publication number
CN111723134A
CN111723134A CN201910207570.0A CN201910207570A CN111723134A CN 111723134 A CN111723134 A CN 111723134A CN 201910207570 A CN201910207570 A CN 201910207570A CN 111723134 A CN111723134 A CN 111723134A
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event
link
function
information processing
link data
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马德友
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Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
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Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/451Execution arrangements for user interfaces
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Abstract

The present disclosure provides an information processing method, an information processing apparatus, an electronic device, and a computer-readable storage medium, and relates to the field of internet technologies, where the information processing method includes: reading an event corresponding to a user according to an event buried point reported by a client, and auditing the event; establishing an incidence relation between the audited events and storing the incidence relation to a database; and determining link data matched with the link request by combining the incidence relation in the database according to the received link request, and sending the link data to the client so that the client can execute corresponding functions according to the link data. The method and the device can realize intercommunication among functions, further enable a user to flexibly operate the functions, and improve operation efficiency.

Description

Information processing method, information processing device, electronic equipment and storage medium
Technical Field
The present disclosure relates to the field of internet technologies, and in particular, to an information processing method, an information processing apparatus, an electronic device, and a computer-readable storage medium.
Background
With the development of the internet, the functions of company service output ports such as websites, H5 stations, and mobile APPs become more and more complex, and therefore, when a new function is operated for the first time, a user needs to be guided to operate the new function.
In the related art, in order to solve the problem of relatively independent functions, the guidance operation may be performed by masking, novice guidance, dynamic guidance, or the like. However, the above method has the problems of poor flexibility and single function, so that the process of realizing intercommunication among functions is complex; in addition, in the above manner, the events between the functions may not be communicated effectively, so that the user cannot operate the new function flexibly and accurately, and the operation efficiency is low.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
An object of the present disclosure is to provide an information processing method, apparatus, electronic device, and computer-readable storage medium, which overcome, at least to some extent, the problem of incapability of flexibly executing functions due to limitations and disadvantages of the related art.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.
According to an aspect of the present disclosure, there is provided an information processing method including:
reading an event corresponding to a user according to an event buried point reported by a client, and auditing the event;
establishing an incidence relation between the audited events and storing the incidence relation to a database;
and determining link data matched with the link request by combining the incidence relation in the database according to the received link request, and sending the link data to the client so that the client can execute corresponding functions according to the link data.
In an exemplary embodiment of the present disclosure, reading an event corresponding to a user according to an event buried point reported by a client, and auditing the event includes:
splicing the container identification number and the event identification number in the event attribute corresponding to the event buried point into a preset identification number;
reading the event according to the preset identification number and the universal unique identification code, and configuring keywords for the event;
and judging whether the event is correct or not according to the function of the reference version and the keyword, and processing the event according to a judgment result.
In an exemplary embodiment of the present disclosure, processing the event according to the determination result includes:
if the event is incorrect, deleting the incorrect event buried point and issuing a correct event buried point; and/or
And if an abnormal state exists between the events, reporting the abnormal state of the broken link.
In an exemplary embodiment of the present disclosure, establishing an association between the audited events and storing the association to a database comprises:
linking the databases;
creating a node for each event in the database, and creating an index for the node corresponding to each event;
and storing the sequence of the events according to the index, and establishing the association relation between the events according to the sequence.
In an exemplary embodiment of the present disclosure, determining, according to the received link request, link data matching the link request in combination with the association relationship in the database includes:
determining an event node matched with the link request according to the keywords in the link request;
calculating the node matching degree between the keywords and the keywords of the adjacent nodes of the event node;
and selecting a target node according to the node matching degree, and determining the path between the target node and the current container through a shortest path algorithm to determine the link data.
According to an aspect of the present disclosure, there is provided an information processing method including:
reporting the event embedded points to a server side so that the server side creates an incidence relation between the events corresponding to the event embedded points;
determining a link request according to a function type, and sending the link request to the server to obtain the association relation and link data corresponding to the link request;
and analyzing the link data, and executing a corresponding function according to a preset rule of the link data.
In an exemplary embodiment of the present disclosure, the event buried point corresponds to an event attribute, and the event attribute includes a static event, a dynamic event, and a customized event; reporting the event embedded point to the server comprises:
if the event attribute is the static event, automatically collecting the event according to the click jump operation, and reporting the collected event; and/or
And if the event attribute is the dynamic event or the customized event, collecting and reporting the event when a user clicks the event or a container loads the event.
In an exemplary embodiment of the present disclosure, the function type includes a guidance-class function, a game-class function, or a recommendation-class function; determining the link request according to the function type includes:
if the function is the guide function, the link request comprises an optimal link data from the current container to the target function entrance;
if the game function is the game type function, the link request comprises a plurality of link data in a game scene, and the link data meets the requirement of continuous jumping in the game scene through condition data;
if the recommended function is the recommended function, the link request comprises an optimal path from the current container to the target function entrance, and the optimal path does not exceed four steps.
In an exemplary embodiment of the present disclosure, controlling to execute a corresponding function according to a preset rule of the link data includes:
automatically executing the link data according to the preset rule to execute the corresponding function; and/or
And prompting a user to execute the link data through masking so as to execute the corresponding function.
In an exemplary embodiment of the present disclosure, prompting a user to execute the link data by masking includes:
and overlaying the mask on the current container so that the user executes the event through the prompt message of the mask.
According to an aspect of the present disclosure, there is provided an information processing apparatus including:
the event reading module is used for reading an event corresponding to a user according to an event buried point reported by a client and auditing the event;
the relation establishing module is used for establishing an incidence relation between the audited events and storing the incidence relation to a database;
and the link determining module is used for determining link data matched with the link request according to the received link request and the incidence relation in the database and sending the link data to the client so that the client can execute corresponding functions according to the link data.
According to an aspect of the present disclosure, there is provided an information processing apparatus including:
the event embedded point reporting module is used for reporting the event embedded points to the server side so that the server side creates an incidence relation for the events corresponding to the event embedded points;
the link request determining module is used for determining a link request according to the function type and sending the link request to the server side to obtain the association relation and link data corresponding to the link request;
and the function execution module is used for analyzing the link data and executing corresponding functions according to the preset rule of the link data.
According to an aspect of the present disclosure, there is provided an electronic device including:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform any one of the information processing methods described above via execution of the executable instructions.
According to an aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the information processing method of any one of the above.
In the information processing method, the apparatus, the electronic device, and the computer-readable storage medium provided in the present exemplary embodiment, on one hand, events corresponding to a user are read according to event burial points reported by a client, an association relationship between the audited events is established, and further, link data matching the link request is determined and sent to the client according to the received link request sent by the client, so that the client executes a corresponding function according to the link data. By auditing the events and establishing the incidence relation between the audited events, more appropriate and more accurate link data matched with the link request can be determined according to the incidence relation. On the other hand, the user can accurately operate the new function according to the link data through the determined link data, and the step of realizing intercommunication among the functions can be simplified, so that the operation efficiency is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.
Fig. 1 schematically shows a system architecture diagram for implementing an information processing method in an exemplary embodiment of the present disclosure.
Fig. 2 schematically illustrates a first information processing method in an exemplary embodiment of the present disclosure.
Fig. 3 schematically illustrates a specific flowchart for establishing an association relationship between events in an exemplary embodiment of the present disclosure.
Fig. 4 is a diagram schematically illustrating downlink data in an exemplary embodiment of the present disclosure.
Fig. 5 schematically shows a schematic diagram of a second information processing method in an exemplary embodiment of the present disclosure.
Fig. 6 schematically shows a specific flowchart for implementing function guidance in an exemplary embodiment of the present disclosure.
Fig. 7 schematically illustrates an operation interface for implementing function guidance in an exemplary embodiment of the present disclosure.
Fig. 8 schematically shows a block diagram of a first information processing apparatus in an exemplary embodiment of the present disclosure.
Fig. 9 schematically shows a block diagram of a second information processing apparatus in an exemplary embodiment of the present disclosure.
Fig. 10 schematically illustrates a block diagram of a link platform in an exemplary embodiment of the present disclosure.
Fig. 11 schematically shows a schematic view of an electronic device in an exemplary embodiment of the present disclosure.
Fig. 12 schematically illustrates a schematic diagram of a computer-readable storage medium in an exemplary embodiment of the disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
In the related art, when a user enters a function with a complex operation or a new operation for the first time, a mask is popped up to guide the user how to operate. Or a function guide path is preset in the APP in advance, and when a user installs for the first time or triggers for the first time, the user enters a guide process through the guidance of a novice APP; although this approach can implement boot services, the data is fixed and not flexible enough. In addition, the dynamic guidance can be realized by a function guidance service system dynamically issued by the path server based on the function request; although the data is flexible, the method is not clear enough in realization and has a single function, namely, the method is a simple function guide service.
First, a system architecture for implementing information processing is provided in the present exemplary embodiment, and referring to fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send request instructions or the like. The terminal devices 101, 102, 103 may have various communication client applications installed thereon, such as a photo processing application, a shopping application, a web browser application, a retrieval application, an instant messaging tool, a mailbox client, social platform software, and the like.
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 105 may be a server providing various services, such as a background management server (for example only) providing support for shopping-like websites browsed by users using the terminal devices 101, 102, 103. The backend management server may analyze and perform other processing on the received data such as the product information query request, and feed back a processing result (for example, target push information, product information — just an example) to the terminal device.
It should be noted that the information processing method provided in the embodiment of the present application is generally executed by the server 105, and accordingly, the information processing apparatus is generally provided in the terminal device 101.
Based on the system architecture in fig. 1, the information processing method provided in this example embodiment may be applied to a scenario of guiding, recommending, and the like a complex function. Referring to fig. 2, the information processing method in the present exemplary embodiment will be described in detail with a server as an execution subject.
In step S210, reading an event corresponding to the user according to the event buried point reported by the client, and auditing the event.
In the exemplary embodiment, event embedding refers to adding an event attribute to a control of an application APP, that is, assigning a value to the event attribute. An event refers to sending a basic unit of an operation control. The types of events include, but are not limited to, dynamic events, static events, and custom events, according to the specific function in the business scenario. Wherein: dynamic events refer to events in which functions may change during online execution of a program, such as different types of entries of an APP; static events refer to events in which functions do not change during the online process, such as a setting entry of an APP; the customized event refers to an event whose function is changed by a user, and the customized event corresponding to each user may be different, for example, a certain APP home page activity or an advertisement portal.
Event attributes include, but are not limited to, several aspects: the event identification number actionID, which is used to ensure uniqueness within the container, is set by the developer himself. Event type actionType, such as static event, dynamic event, custom event, defaults to static event. The container identification number, containerID, is formed of the container name + container type containertityype. Level of the event (primary entry, secondary entry, etc.). The event function keyword description key specifically includes an event importance classification (main function, auxiliary description function), and may further include an editing rule (the more common, the more main function description is put on the front). Pointers nextActions pointing to the next few events and comments used by the developer notes.
After the event embedding is completed, the client can report the event embedding to the server. The server can receive data report from the client and arrange the received data (event attribute). Specifically, the container identification number continainerid and the event identification number actionID in the event attribute may be spliced to form a preset identification number, and the preset identification number is used as a unique ID of the event to avoid duplication. Further, the preset identification number and the received data can be stored in a temporary database. The temporary database is used for temporary storage, data needs to be edited, and after the data is formally released, the data can be deleted from the temporary database.
After the reported data is received, the event can be read according to the preset identification number and the universal unique identification code, and keywords are configured for the event. The effect of the UUID (Universally Unique Identifier) is to represent a Unique identification of users, each of which can correspond to a UUID that does not conflict with others. Therefore, one event corresponding to each user can be read according to the preset identification number and the UUID. After the event of the user is read, the keyword key of the event can be configured according to the corresponding rule. The corresponding rules can be defined by the user according to actual requirements, as long as the configured keywords can describe the meaning or meaning of the event.
Further, the event can be audited, specifically, whether the event is correct is judged according to the function of the reference version and the keyword, and the event is processed according to the judgment result. The reference version refers to the latest version to be released by a certain APP. Specifically, the event processing method may determine whether the received event is correct according to a keyword of the function of the latest version and a keyword corresponding to the received data, so as to process the event according to a result of determining whether the event is correct, in comparison with the function of the latest version to be issued by the APP. And if the event is judged to be incorrect, deleting the incorrect event buried point and issuing the correct event buried point. For example, if the key of the event does not match the function of the reference version, the event is determined to be incorrect, and the event buried point that is wrong for the event is deleted and updated to the correct event buried point. And if the abnormal states such as broken link or redundancy exist among the events, reporting the abnormal state of broken link. For example, if a broken link exists between the event 1 and the event 2, the broken link between the event 1 and the event 2 is reported additionally. Similarly, if there is redundancy between event 2 and event 3, then there is a redundant chain between event 2 and event 3 for supplementary reporting. If the event is correct and there is no abnormal state, no treatment is performed.
In step S220, an association relationship between the audited events is established and stored in a database.
In the present exemplary embodiment, the association relationship is used to describe a relationship between different events. By establishing the incidence relation between the audited events, the wrong events can be avoided, and a plurality of events can be executed according to the incidence relation, so that convenience is provided for users. The database refers to a graphic database, which is a database storing data in the form of a graphic structure. It stores data of the application in the form of nodes, relationships and attributes. For example, an RDBMS stores data in the form of "rows, columns" of a table, and a GDBMS stores data in the form of "graphs". The exemplary embodiment is described by taking Neo4j graphic database as an example.
A schematic diagram for establishing an association relationship between events is schematically shown in fig. 3. Referring to fig. 3, the method specifically includes the following steps:
in step S310, the database is linked, wherein the database may be, for example, Neo4j graphic database.
In step S320, a node is created for each event in the database, and an index is created for the node corresponding to each event.
In this step, a node refers to a data unit in the graph database, and each event may correspond to a node. In particular, for each event stored, a corresponding node may be created in the graph database. Further, a one-to-one index may be created for each node. An index is a separate, physical storage structure that orders values of one or more columns in a database table, provides pointers to data values stored in a given column of the table, and then orders the pointers according to the ordering order specified by you. The database uses the index to find a particular value and then follows the pointer to find the row containing that value. In the exemplary embodiment, the required node can be conveniently found from the database through the index, and then the event can be found according to the node.
In step S330, the sequence of the events is stored, and the association relationship is established between the events according to the sequence.
In this step, the events are ordered. After the execution of a first event is finished, the next event is to be executed; when the next event is triggered, the next event is executed. Therefore, the sequence of executing a plurality of events can be stored by combining with the index, and the incidence relation among the events is established in the graph database according to the sequence of the events.
The event and the sequence between the events are stored by the graphic database, and the incidence relation is established among the events according to the sequence, so that the established incidence relation is more accurate, and convenience is provided for generating a link.
In step S230, according to the received link request sent by the client, link data matching the link request is determined by combining the association relationship in the database and sent to the client, so that the client executes a corresponding function according to the link data.
In the present exemplary embodiment, the link request refers to a request for determining appropriate link data. Link data is used to represent a set of events that can perform certain functions (e.g., boot services, recommendations). That is, one link data represents one boot service, and one boot service represents one function. In the present exemplary embodiment, a description is mainly given by taking a boot-type function as an example.
A schematic diagram of determining link data is schematically shown in fig. 4. Referring to fig. 4, the method specifically includes the following steps S410 to S430, where:
in step S410, an event node matching the link request is determined according to the keyword in the link request.
In this step, when receiving a link request sent by a client, a keyword, for example, keyword 1, in the link request may be obtained first. Further, the obtained keywords may be compared with keywords configured for all events stored in the graph database to determine an event node of an event corresponding to the link request according to whether the keywords match. For example, if the keyword 1 is successfully matched with the keyword 11 of the event 1, the event node corresponding to the determined link request may be the node corresponding to the event 1.
In step S420, a node matching degree between the keyword and the keywords of the adjacent nodes of the event node is calculated.
In this step, the keyword of the adjacent node refers to the keyword of the event represented by other nodes adjacent to the node of the current event in the graph database, that is, the adjacent nodes. It should be noted that the number of the neighboring nodes may be multiple. It is possible, for example, to take event 1 as the current event and then the node of event 1 as the current node, e.g., keyword 1. The neighboring node may be, for example, node 2, and the corresponding event may be event 2; the adjacent node may also be node 3, and the corresponding event may be event 3; the neighboring node may also be node 4, and its corresponding event may be event 4. Further, the obtained keyword 1 may be compared with the keywords of the event 2, the event 3, and the event 4 to determine a node matching degree between the keywords, where the matching degree may also be understood as a similarity degree.
In step S430, a target node is selected according to the node matching degree, and the path between the target node and the current container is determined through a shortest path algorithm to determine the link data.
In this step, the target node refers to the finally determined node. Specifically, the target nodes can be determined according to the sequence of the matching degrees from large to small, so that the accuracy of the determined target nodes is ensured. For example, if the matching degrees of the keyword 1 and the keywords of the event 2, the event 3, and the event 4 are in turn, from large to small, the order is event 4> event 2> event 3, and then the node corresponding to the event 4 can be determined as the target node.
On the basis, the path between the target node and the current container can be calculated. A container refers to a collection that contains all events within the current interface. That is, it is not possible to trigger regular events other than containers within the current page, e.g., a floating box of a modality also belongs to a container. The current container refers to a set of all events having an association relationship with the current event. Specifically, the shortest path algorithm or the optimal path algorithm may be used, and the shortest path algorithm is taken as an example for illustration.
The shortest path algorithm means that, from a certain vertex in the graph database, one path with the minimum sum of weights on each edge is called the shortest path among paths which are passed from the edge of the graph to another vertex. For this step, the destination node refers to one vertex and the current container refers to another vertex, so that a shortest path can be determined. After determining the shortest path, the shortest path may be used as link data corresponding to the link request, and the link data may be sent to the client. Therefore, the client can obtain accurate link data, and perform corresponding functions according to the accurate link data, such as performing a boot function and the like, so as to achieve intercommunication and flexibility between functions.
By the method in fig. 4, link data conforming to the link request can be obtained by determining the target node and the shortest path, and the accuracy of determining the link data is improved.
In addition, another information processing method using a client as an execution subject is provided in the present exemplary embodiment. The information processing method in the present exemplary embodiment is explained in detail with reference to fig. 5.
In step S510, the event embedded point is reported to the server, so that the server creates an association relationship between events corresponding to the event embedded point.
In the present exemplary embodiment, the event burial point has been described in step S210, and is not described herein again. The specific method for reporting the event embedded point to the server by the client can include the following two methods: firstly, if the event attribute is a static event, automatically collecting the event according to the click jump operation, and reporting the collected event. That is, in the development and debugging process, the collection of static events is automatically completed by clicking, skipping and the like in the development function process of a developer, and the collected events are reported. This reporting mode can be understood as a developer mode. And secondly, if the event attribute is the dynamic event or the customized event, collecting and reporting the event when a user clicks the event or a container loads the event. That is, the reporting of the dynamic event and the customized event is done on-line. And when the user enters the container, the container loads the event or the user clicks the event, completing the task of collecting the event and reporting the event. This reporting mode may be understood as an online mode.
It should be added that, for the developer mode and the online mode, the information reported when the event is reported to the embedded point is the same, and specifically, both the information may include the event attribute. The reported information may, for example, contain mainly actionID, actionType, continainerID, nextActions.
By reporting the event embedded points to the server side, the server side can read the events corresponding to the users according to the event embedded points so as to establish an association relation between the events. The event embedded point is reported to the server side through different modes (developer modes or online modes), and the accuracy and the efficiency of information reporting can be improved.
In step S520, a link request is determined according to a function type, and the link request is sent to the server to obtain the association relationship and link data corresponding to the link request.
In the exemplary embodiment, the function types include, but are not limited to, a guidance-type function, a game-type function, and a recommendation-type function. Based on this, determining the link request according to the function type includes the following cases: first, if the function is the bootstrap function, the link request includes an optimal link from the current container to the target function entry. The target function entry may be a function to be processed next or a function to be implemented. If the function is a boot-type function, an optimal link data for the current container to reach the target function entry may be determined according to the steps from step S410 to step S430, that is, an optimal set of events (i.e., link data) to be executed from the container corresponding to the current event to the function entry to be implemented is determined. Secondly, if the game function is the game type function, the link request comprises a plurality of link data in a game scene, and the link data meets the requirement of continuous jumping in the game scene through condition data. Wherein the condition data refers to the limitation data. That is, several pieces of link data in a certain game scene may be requested, and some limitation data may be added so that the link data meets the requirement of continuous jumping in the game scene. Thirdly, if the recommended function is the recommended function, the link request comprises an optimal path from the current container to the target function entrance, and the optimal path does not exceed four steps. The optimal path refers to a simplified and quick optimal path from the current container to the target function entrance, and the optimal path does not exceed four steps so as to realize quick recommendation through the optimal path.
After the corresponding link request is determined according to the function type, the link request can be sent to the server side, so that the server side issues corresponding link data according to the incidence relation between the events and the corresponding link request, and further returns the link data to the client side, so that the client side obtains the incidence relation and the link data corresponding to the link request. In this example, the accurate link request conforming to the actual situation can be obtained by the function type, so that the obtained link data can be more accurate.
In step S530, the link data is analyzed, and a corresponding function is executed according to a preset rule of the link data.
In this exemplary embodiment, after the link data issued by the server is obtained, the link data may be analyzed so as to satisfy the format that can be used by the client. Further, the corresponding function may be performed according to a preset rule of the link data. The preset rule refers to that: and generating a linked list according to the event ID by taking the unique preset identification number generated by the event identifier actionID and the container identifier continenerID as the event ID. In this way, link data can be obtained from the link formed by the event ID. Based on this, all corresponding events can be sequentially executed according to the event ID included in the link data, and then the corresponding function is completed by executing the events. By executing the corresponding functions according to the preset rules, the sequence of event execution and the accuracy of event execution can be ensured. Specifically, the controlling and executing the corresponding function according to the preset rule of the link data includes: and automatically executing the link data according to the preset rule to execute the corresponding function, namely the client sequentially executes a plurality of events according to the sequence of the event ID, so that the function corresponding to the event in the link data is realized. Besides, the user can be prompted to execute the link data through masking so as to execute the corresponding function. The mask is used as a special container and is covered on the current container. The user may be prompted by masking how to operate, for example, with a click, a swipe gesture, etc. Game elements can be added through the mask to establish a game scene, and in addition, richer elements can be added into the mask to improve user experience.
In the exemplary embodiment, through link data, connection can be established between functions to provide function intercommunication; in addition, based on the link data, various functions can be realized, and the diversity is improved. In addition, the first and second substrates are,
fig. 6 schematically shows a flow chart for implementing function booting. As shown in fig. 6, mainly includes the following steps:
in step S610, the user initiates a search function request, which may be, for example, how to reach "telephone customer service";
in step S620, the APP guides link data corresponding to the search function request of the user;
in step S630, the user performs an operation according to the guidance of the APP;
in step S640, the APP reaches the location of the target function portal desired by the user.
In the exemplary embodiment, the user is guided by searching the link data corresponding to the function request, so that function guidance can be flexibly realized, and the diversity of functions is improved.
Fig. 7 is a schematic diagram schematically illustrating an operation interface for implementing function guidance, and referring to fig. 7, when the current container is "customer service" and the target function required by the user is "telephone customer service", the user may be first prompted to the location where the user needs to click through a mask, for example, the user is prompted to click on "customer service" in fig. 7(a), and then the user is prompted to click on "telephone customer service" in fig. 7(B), so as to complete function guidance. It should be noted that the location where the user is prompted to click may be marked, such as with a fixed pattern, and so forth. In addition, elements such as clouds, lawns and puppies can be presented on the operation interface to serve as game elements, and a game scene can be established according to the game elements, so that the user experience is improved.
The present disclosure also provides an information processing apparatus. Referring to fig. 8, the information processing apparatus 800 may include:
an event reading module 801, configured to read an event corresponding to a user according to an event embedding point reported by a client, and audit the event;
a relationship establishing module 802, configured to establish an association relationship between the audited events and store the association relationship in a database;
a link determining module 803, configured to determine, according to the received link request and in combination with the association relationship in the database, link data matched with the link request to be sent to the client, so that the client executes a corresponding function according to the link data.
The present disclosure also provides another information processing apparatus. Referring to fig. 9, the information processing apparatus 900 may include:
an event embedded point reporting module 901, configured to report an event embedded point to a server, so that the server creates an association relationship between events corresponding to the event embedded point;
a link request determining module 902, configured to determine a link request according to a function type, and send the link request to the server to obtain the association relationship and link data corresponding to the link request;
and the function execution module 903 is configured to analyze the link data and execute a corresponding function according to a preset rule of the link data.
It should be noted that, the details of each module in the information processing apparatus have been described in detail in the corresponding information processing method, and therefore are not described herein again.
In addition, a link platform system is also provided in the present exemplary embodiment, and referring to fig. 10, the system 1000 mainly includes a client 1001 and a server 1002. Like a general platform service, the platform also has a module for registering an account and an application. The technical core modules of the platform are described in detail as follows:
the main functions of the client 1001 include, but are not limited to, event embedding reporting, link requesting, event link parsing, event link execution, and mask display;
the main functions of the server 1002 include, but are not limited to, registering an account, registering an application, storing the application in a common database MySQL, collecting data after reporting event points, auditing events, configuring an association relationship between events, storing the association relationship in a graph database neo4j, and issuing events.
Based on the link platform, the functional modules can be established, and function intercommunication and flow intercommunication are provided. Based on the link platform, in terms of business, function guidance, link games (map games), intelligent recommendation services and intelligent guidance services can be realized based on the link platform.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Moreover, although the steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.
In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 1100 according to this embodiment of the invention is described below with reference to fig. 11. The electronic device 1100 shown in fig. 11 is only an example and should not bring any limitations to the function and the scope of use of the embodiments of the present invention.
As shown in fig. 11, electronic device 1100 is embodied in the form of a general purpose computing device. The components of the electronic device 1100 may include, but are not limited to: the at least one processing unit 1110, the at least one memory unit 1120, and a bus 1130 that couples various system components including the memory unit 1120 and the processing unit 1110.
Wherein the storage unit stores program code that is executable by the processing unit 1110 to cause the processing unit 1110 to perform steps according to various exemplary embodiments of the present invention as described in the above section "exemplary methods" of the present specification. For example, the processing unit 1110 may perform the steps as shown in fig. 2.
The storage unit 1120 may include a readable medium in the form of a volatile memory unit, such as a random access memory unit (RAM)11201 and/or a cache memory unit 11202, and may further include a read only memory unit (ROM) 11203.
Storage unit 1120 may also include a program/utility 11204 having a set (at least one) of program modules 11205, such program modules 11205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
Bus 1130 may be representative of one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The display unit 1140 may be a display having a display function to show a processing result obtained by the processing unit 1110 performing the method in the present exemplary embodiment through the display. The display includes, but is not limited to, a liquid crystal display or other display.
The electronic device 1100 may also communicate with one or more external devices 1300 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 1100, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 1100 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 1150. Also, the electronic device 1100 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet) via the network adapter 1160. As shown, the network adapter 1160 communicates with the other modules of the electronic device 1100 over the bus 1130. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the electronic device 1100, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above section "exemplary methods" of the present description, when said program product is run on the terminal device.
Referring to fig. 12, a program product 1200 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is to be limited only by the terms of the appended claims.

Claims (14)

1. An information processing method characterized by comprising:
reading an event corresponding to a user according to an event buried point reported by a client, and auditing the event;
establishing an incidence relation between the audited events and storing the incidence relation to a database;
and determining link data matched with the link request by combining the incidence relation in the database according to the received link request, and sending the link data to the client so that the client can execute corresponding functions according to the link data.
2. The information processing method of claim 1, wherein reading an event corresponding to a user according to an event buried point reported by a client, and auditing the event comprises:
splicing the container identification number and the event identification number in the event attribute corresponding to the event buried point into a preset identification number;
reading the event according to the preset identification number and the universal unique identification code, and configuring keywords for the event;
and judging whether the event is correct or not according to the function of the reference version and the keyword, and processing the event according to a judgment result.
3. The information processing method according to claim 2, wherein processing the event according to the determination result includes:
if the event is incorrect, deleting the incorrect event buried point and issuing a correct event buried point; and/or
And if an abnormal state exists between the events, reporting the abnormal state of the broken link.
4. The information processing method of claim 1, wherein establishing an association between the audited events and storing the association to a database comprises:
linking the databases;
creating a node for each event in the database, and creating an index for the node corresponding to each event;
and storing the sequence of the events, and establishing the association relationship among the events according to the sequence.
5. The information processing method of claim 1, wherein determining, according to the received link request, link data matching the link request in combination with the incidence relation in the database comprises:
determining an event node matched with the link request according to the keywords in the link request;
calculating the node matching degree between the keywords and the keywords of the adjacent nodes of the event node;
and selecting a target node according to the node matching degree, and determining the path between the target node and the current container through a shortest path algorithm to determine the link data.
6. An information processing method characterized by comprising:
reporting the event embedded points to a server side so that the server side creates an incidence relation between the events corresponding to the event embedded points;
determining a link request according to a function type, and sending the link request to the server to obtain the association relation and link data corresponding to the link request;
and analyzing the link data, and executing a corresponding function according to a preset rule of the link data.
7. The information processing method according to claim 6, wherein the event buried point corresponds to event attributes, the event attributes including static events, dynamic events, and custom events; reporting the event embedded point to the server comprises:
if the event attribute is the static event, automatically collecting the event according to the click jump operation, and reporting the collected event; and/or
And if the event attribute is the dynamic event or the customized event, collecting and reporting the event when a user clicks the event or a container loads the event.
8. The information processing method according to claim 6, wherein the function type includes a guidance-class function, a game-class function, or a recommendation-class function; determining the link request according to the function type includes:
if the function is the guide function, the link request comprises an optimal link data from the current container to the target function entrance;
if the game function is the game type function, the link request comprises a plurality of link data in a game scene, and the link data meets the requirement of continuous jumping in the game scene through condition data;
if the recommended function is the recommended function, the link request comprises an optimal path from the current container to the target function entrance, and the optimal path does not exceed four steps.
9. The information processing method according to claim 6, wherein controlling execution of the corresponding function according to the preset rule of the link data comprises:
automatically executing the link data according to the preset rule to execute the corresponding function; and/or
And prompting a user to execute the link data through masking so as to execute the corresponding function.
10. The information processing method of claim 9, wherein prompting a user to execute the link data by masking comprises:
and overlaying the mask on the current container so that the user executes the event through the prompt message of the mask.
11. An information processing apparatus characterized by comprising:
the event reading module is used for reading an event corresponding to a user according to an event buried point reported by a client and auditing the event;
the relation establishing module is used for establishing an incidence relation between the audited events and storing the incidence relation to a database;
and the link determining module is used for determining link data matched with the link request according to the received link request and the incidence relation in the database and sending the link data to the client so that the client can execute corresponding functions according to the link data.
12. An information processing apparatus characterized by comprising:
the event embedded point reporting module is used for reporting the event embedded points to the server side so that the server side creates an incidence relation for the events corresponding to the event embedded points;
the link request determining module is used for determining a link request according to the function type and sending the link request to the server side to obtain the association relation and link data corresponding to the link request;
and the function execution module is used for analyzing the link data and executing corresponding functions according to the preset rule of the link data.
13. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the information processing method of any one of claims 1 to 10 via execution of the executable instructions.
14. A computer-readable storage medium on which a computer program is stored, the computer program, when being executed by a processor, implementing the information processing method of any one of claims 1 to 10.
CN201910207570.0A 2019-03-19 2019-03-19 Information processing method, information processing device, electronic equipment and storage medium Pending CN111723134A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113553206A (en) * 2021-09-22 2021-10-26 北京德风新征程科技有限公司 Data event execution method and device, electronic equipment and computer readable medium
CN115473839A (en) * 2021-06-11 2022-12-13 北京字跳网络技术有限公司 Data processing method, device and equipment based on buried point and storage medium

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115473839A (en) * 2021-06-11 2022-12-13 北京字跳网络技术有限公司 Data processing method, device and equipment based on buried point and storage medium
CN115473839B (en) * 2021-06-11 2024-03-05 北京字跳网络技术有限公司 Buried point-based data processing method, device, equipment and storage medium
CN113553206A (en) * 2021-09-22 2021-10-26 北京德风新征程科技有限公司 Data event execution method and device, electronic equipment and computer readable medium
CN113553206B (en) * 2021-09-22 2021-12-21 北京德风新征程科技有限公司 Data event execution method and device, electronic equipment and computer readable medium

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