CN111447137A - Browsing condition data analysis method and device, server and storage medium - Google Patents
Browsing condition data analysis method and device, server and storage medium Download PDFInfo
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- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/04—Real-time or near real-time messaging, e.g. instant messaging [IM]
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- H04L51/07—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail characterised by the inclusion of specific contents
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- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
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Abstract
The embodiment of the application discloses a browsing condition data analysis method, a browsing condition data analysis device, a server and a storage medium, and relates to a buried point tracking technology, wherein the method comprises the following steps: acquiring a shared data identifier carried by browsing information, wherein the browsing information is triggered by a browsing operation of a terminal node on shared content; acquiring each node operation data corresponding to the shared data identifier, and generating a target browsing data chain corresponding to the browsing information based on each node operation data corresponding to the shared data identifier, wherein the target browsing data chain comprises data on a path from a target initiator to the terminal node browsing the shared content; and sending the target browsing data chain to the terminal equipment, so that the operation data of the shared content in the interaction between the user and the friend can be timely and accurately integrated.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a browsing status data analysis method, an apparatus, a server, and a storage medium.
Background
With diversification of application programs of the mobile terminal, friend interaction modules exist in various application programs, and the friend relationship of the user becomes more and more important in the social network. In general, products and technologies based on a friend relationship of a user mostly store a two-way friend relationship and a one-way friend relationship among users, or set a friend relationship intimacy and the like, and at present, a general user can display shared contents to friends through a sharing page in the forms of links, pictures and the like, but a friend relationship network is huge and complex, so that invalid forwarding conditions that many friends do not browse the shared contents exist, and operation data of the shared contents cannot be timely and accurately counted.
Disclosure of Invention
The embodiment of the application provides a browsing condition data analysis method, a browsing condition data analysis device, a server and a storage medium, which can timely and accurately integrate operation data of shared contents in interaction between a user and a friend.
In a first aspect, an embodiment of the present application provides a browsing status data analysis method, where the method includes:
acquiring a shared data identifier carried by browsing information, wherein the browsing information is triggered by a browsing operation of a terminal node on shared content;
acquiring each node operation data corresponding to the shared data identifier, and generating a target browsing data chain corresponding to the browsing information based on each node operation data corresponding to the shared data identifier, wherein the target browsing data chain comprises data on a path from a target initiator to the terminal node browsing the shared content;
and sending the target browsing data chain to the terminal equipment.
As a possible implementation manner, the generating a target browsing data chain corresponding to the browsing information based on each node operation data corresponding to the shared data identifier includes:
searching the associated node forwards in the operation data of each node by the terminal node until the searched associated node is the target initiator, and acquiring target data on a path from the target initiator to the terminal node;
and generating a target browsing data chain corresponding to the browsing information according to the operation sequence corresponding to the target data.
As a possible implementation, the method further comprises:
under the condition that at least two browsing data chains corresponding to the shared content shared by the target initiator are provided, the method further includes:
acquiring the at least two browsing data chains;
acquiring total browsing duration, browsing frequency and total number of forwarding nodes corresponding to the at least two browsing data chains;
analyzing the total browsing duration, the browsing frequency and the total number of forwarding nodes corresponding to the at least two browsing data chains, and determining one browsing data chain as a recommended friend chain from the at least two browsing data chains, wherein a friend key node is marked in the recommended friend chain, and the browsing frequency or the browsing duration corresponding to a next node of the friend key node is the largest;
and sending the recommended browsing chain to the terminal equipment.
As a possible implementation manner, the analyzing a total browsing duration, a browsing frequency, and a total number of forwarding nodes corresponding to the at least two browsing data chains, and determining one browsing data chain as a recommended friend chain from the at least two browsing data chains includes:
acquiring preset weight values corresponding to the browsing duration, the browsing frequency and the total number of forwarding nodes;
scoring each browsing data chain according to the preset weight value and the total browsing duration, the browsing frequency and the total number of forwarding nodes corresponding to the at least two browsing data chains to obtain a scoring value of each browsing data chain;
and determining the browsing data chain with the highest scoring value as the recommended friend chain from the at least two browsing data chains.
As a possible implementation, the method further comprises:
acquiring browsing data of the shared content forwarded to at least two chat groups by the target initiator, wherein the browsing data comprises the number of times of clicking, the number of times of browsing, the per-capita time length of browsing and the number of times of forwarding the shared content in the at least two chat groups respectively;
and determining one chat group as a recommended forwarding chat group in the at least two chat groups according to the browsing data.
In an optional implementation manner, before the obtaining of the operation data of each node corresponding to the shared data identifier, the method further includes:
periodically detecting a forwarding operation on the shared content;
and when the forwarding operation is detected, acquiring and storing forwarding information of the forwarding operation, wherein the forwarding information comprises a node identifier, a forwarding object, a forwarding frequency and the shared data identifier.
In an optional implementation manner, the obtaining of the shared data identifier carried by the browsing information includes:
acquiring an observation duration threshold set by the target initiator;
and acquiring a timing duration from the moment when the target initiator shares the shared content, and acquiring a shared data identifier carried by browsing information corresponding to the browsing operation if the timing duration is greater than the observation duration threshold value.
In a second aspect, an embodiment of the present application provides a browsing status data analysis apparatus, including:
the acquisition module acquires a shared data identifier carried by browsing information, wherein the browsing information is triggered by a browsing operation of a terminal node on shared content;
a generating module, configured to acquire each node operation data corresponding to the shared data identifier, and generate a target browsing data chain corresponding to the browsing information based on each node operation data corresponding to the shared data identifier, where the target browsing data chain includes data on a path from a target initiator to the terminal node that browses the shared content;
and the transmission module is used for sending the target browsing data chain to the terminal equipment.
In a third aspect, an embodiment of the present application further provides a server, including a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, where the memory is used to store a computer program, and the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method according to the first aspect and any possible implementation manner thereof.
In a fourth aspect, the present application provides a computer storage medium storing a computer program, the computer program comprising program instructions that, when executed by a processor, cause the processor to perform the method of the first aspect and any possible implementation manner thereof.
According to the method and the device, the shared data identification carried by the browsing information is acquired, and the browsing information is triggered by the terminal node to browse the shared content; taking each node operation data corresponding to the shared data identifier, and generating a target browsing data chain corresponding to the browsing information based on each node operation data corresponding to the shared data identifier, wherein the target browsing data chain comprises data on a path from a target initiator to the terminal node browsing the shared content; and sending the target browsing data chain to a terminal device, wherein the operation data of each node comprises a user initiating sharing and friend users of each node participating in forwarding and browsing operations, and the operation data of the shared content in the interaction between the user and the friends can be timely and accurately integrated to form a browsing data chain, so that more specific friend browsing conditions in the forwarding of the shared content are intuitively provided for the user.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below.
Fig. 1 is a schematic flowchart of a browsing status data analysis method according to an embodiment of the present application;
fig. 2 is a schematic flowchart of another browsing situation data analysis method provided in the embodiment of the present application;
fig. 3 is a schematic structural diagram of a browsing status data analysis apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a server according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
It is also to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
In order to better understand the embodiments of the present application, methods of applying the embodiments of the present application will be described below.
The terminal device mentioned in the embodiment of the present application is a device that can communicate with a server, and the server in the embodiment of the present application is also called a server, and is a device that provides a computing service and can allow a plurality of terminal devices to access. Such terminal devices include, but are not limited to, desktop computers, Mobile terminals, which may include various handheld devices, wearable devices, computing devices or other processing devices connected to wireless modems having wireless communication capabilities, as well as various forms of User Equipment (UE), Mobile Stations (MS), and the like.
Please refer to fig. 1, which is a schematic flowchart of a browsing status data analysis method according to an embodiment of the present application, and the method shown in fig. 1 may include:
101. and acquiring a shared data identifier carried by browsing information, wherein the browsing information is triggered by a browsing operation of a terminal node on the shared content.
The execution subject in the embodiment of the present application may be the server, and specifically may be a data server.
According to the method, relevant statistical codes can be implanted into key positions of the product process based on a data point burying mode, so that the behavior of each user can be tracked, and the use degree of the key process can be counted. Specifically, each node in the embodiment of the present application may communicate with the server through the terminal device; and page embedding is carried out in a social application program installed in the terminal equipment, and for the shared content, page embedding data can be collected to realize the statistical analysis of behavior data of the user aiming at the shared content.
The shared content in the embodiment of the application can be shared in the forms of page links, passwords, page two-dimensional codes and the like, and the embodiment of the application is not limited to the sharing.
The data of the page buried points can be collected through a data collection module. The data acquisition module or the data acquisition unit is a background program and can support a large number of concurrent embedded point reporting tasks, so that the embedded point capacity of the page can be acquired in real time.
The data acquisition module can acquire the buried points of the shared page in real time through a preset interface to acquire user operation data corresponding to the shared content, including operation data of each node. If a user shares the content of a product, activity, information, etc. to a WeChat group or a friend circle, some users click the information, some users forward the activity, some users buy the product, and some users do not have any response …
When the interface of the application program reported by the terminal device is initialized, a Software Development Kit (SDK) of a third-party data analysis service provider can be initialized at the same time, and then when a certain event occurs, a corresponding data sending interface in the SDK is called to send data. For example, if the number of clicks of the sharing link in the application needs to be counted, when the link is clicked, the data sending interface provided by the SDK is called to send data, and the data is recorded. For example, when the browsing operation of the user is monitored, the node triggering the browsing operation may be used as the terminal node to report, that is, the node is detected to stay for a certain time after the user clicks the sharing link to enter the sharing page, so as to obtain the browsing information, and determine and record the browsing behavior of the user.
Furthermore, when the user operation data of the tested sharing content is obtained, one or more fixed times can be set to obtain the user operation data; an acquisition cycle can also be set, and the user operation data can be acquired periodically; whether the network state at the current moment is congested or not can also be detected, and the embedded data is obtained when the network state is good is selected according to the generated embedded data amount, which is not limited herein.
Optionally, a timing duration from a time when the target initiator shares the shared content may be obtained, and when the timing duration is greater than the observation duration threshold, if a browsing operation is detected, a shared data identifier carried by browsing information corresponding to the browsing operation is obtained.
Specifically, the observation duration threshold may be preset, and the calculation of the timing duration is started from the time when the target initiator starts to share the shared content, that is, the duration from the time when the target initiator starts to share the shared content to the current time. When the timing duration reaches the observation duration threshold, statistics of user operation data of the shared content can be started, that is, statistics of friend browsing conditions of the shared content within the observation duration threshold time period is started.
Optionally, a browsing threshold may also be preset, and when a time length that a user stays on a shared page (which may include a derivative page of the page) is greater than the browsing threshold, it is determined that browsing occurs. The browsing information collected by the embedded point can also comprise browsing duration, browsing time and the like.
The behavior data of each party monitoring the shared content, which is acquired by a buried point, carries a shared data identifier, wherein the shared data identifier comprises an identifier of the shared content, can be an id number or a character string, and is used for confirming the shared content; but also friend identifications, upper and lower friend identifications (in order to determine the position of the data in the whole processing process).
It can be understood that the browsing information is fed back to the server by the terminal device of the user who performs the browsing operation on the shared content, and when the browsing operation is detected, the server may obtain the shared data identifier in the browsing information corresponding to the browsing operation, so as to perform tracing, that is, execute step 102.
102. And acquiring each node operation data corresponding to the shared data identifier, and generating a target browsing data chain corresponding to the browsing information based on each node operation data corresponding to the shared data identifier, wherein the target browsing data chain comprises data on a path from a target initiator to the terminal node browsing the shared content.
In one embodiment, the generating a target browsing data chain corresponding to the browsing information based on each node operation data corresponding to the shared data identifier includes:
searching a correlation node forwards in the operation data of each node by the terminal node until the searched correlation node is the target initiator, and acquiring target data on a path from the target initiator to the terminal node;
and generating a target browsing data chain corresponding to the browsing information according to the operation sequence corresponding to the target data.
Since the data of each user (including the user sharing the content and the received and forwarded friend) collected by the buried point carries the shared data identifier, a link in a time sequence is formed, and then the data can be sequentially searched from the previous associated node (i.e., the source node using the current node as a reference) until the target initiator obtains the buried point data corresponding to the shared data identifier matched with the browsing information, i.e., the target friend relationship chain data.
The browsing data chain corresponding to the browsing information can be understood as historical shared data corresponding to the browsing information, and a user node generated by the browsing information is used as a terminal node to trace forward, so that a browsing data chain is formed. In an embodiment, the buried point data carries a user identifier, that is, a first user sharing the link may be an id number or a character string.
Optionally, for the collected buried point data, a data source analysis engine may be constructed, the collected buried point data sources are integrated, friend relationship information corresponding to the shared link is obtained, the friend relationship information includes friend identifiers, data sources, identifiers of upper and lower friends, common friend identifiers, contact frequency and the like, and fields including click response time, forwarding response time, purchase response time, click frequency, forwarding frequency, purchase frequency and the like, and whether the field information exists is determined specifically according to whether the friend clicks, forwards, purchases and the like, where the friend operation corresponds to the friend identifier thereof.
Optionally, before the step 102, the method further includes:
periodically detecting the forwarding operation of the shared content;
and when the forwarding operation is detected, acquiring and storing forwarding information of the forwarding operation, wherein the forwarding information comprises a node identifier, a forwarding object, a forwarding frequency and the shared data identifier.
In one embodiment, the forwarding operation may be collected by a buried point to operation data collection for each (different users), and specifically, when the forwarding information is detected for the target page, the forwarding information may be obtained,
when a user forwards the shared content (to a chat window, a group chat or a friend circle of another user), the forwarding information is acquired through page nodes, and for the content shared by the target initiator, two situations of forwarding and not forwarding can exist (within a certain time), wherein the forwarding relates to the forwarding object, such as forwarding to (the chat window, the group chat or the friend circle of another user), and the forwarding frequency, namely the number of the forwarding to other friends, such as selecting a plurality of friends to perform one-touch forwarding in an application program, and also can be forwarded to the group chat (the forwarding frequency +1 can be recorded once). Optionally, statistics may be classified for different forms of forwarding operations.
For the forwarding operation of the user, the page detects the page browsing status through a specific interface, mainly through the behavior of forwarding the page to a position which can be acquired by other users in a sharing page or a sharing link, and after the condition is triggered, the log acquired and recorded by the embedded point can be used as the forwarding information and sent to a server for further processing and analysis.
The method has the advantages that the condition that the friend who receives the shared content is not browsed directly and forwarded can exist, the friend who participates in forwarding can be divided into browsing categories and non-browsing categories to be analyzed, and the category of the friend can be determined. When the forwarding information is detected, it can be determined that the node friend forwards the shared content, and the shared data identifier therein can be obtained.
In an implementation manner, collected data of the buried point is integrated, and the relationship between upper and lower nodes processed by different users is determined through upper and lower friend identifiers (taking a friend node x as an example, namely, a friend who forwards to x and a friend who forwards to x), and the relationship can be stored in a tree structure form.
Optionally, the data collection and the detection of the forwarding information in the embodiment of the present application may be periodic. For further buddy forwarding instances that occur on this data chain, a new buddy forwarding data chain (a buddy forwarding data chain containing history) may be updated in real-time, i.e., generated, which may be part of the browsing data chain when a browsing operation occurs therein.
In one embodiment, the collected buried point data is integrated, the upper and lower node relationships processed by different users are determined through the shared data identification, and the data can be stored in a tree structure form. For example, the user a shares the link, and further, if the user B enters the page through the link shared by the user a, the embedded point is collected and reported in real time and recorded as a tree structure like "user a-user B …", and similarly, if another user clicks the link to enter the page, like "user a-user B1 …".
If the user B shares the page, the data collector collects the embedded points of the shared page in real time, if the user C enters the page through the link shared by the user B, the embedded points are collected and reported in real time and are recorded as a tree structure like 'user A-user B-user C …', and if the user C enters the page, the embedded points are recorded as 'user A-user B1-user C1 …', and so on, until the browsing operation of the shared content occurs, and the generated browsing information is submitted to the server, the data searching operation in the application can be triggered.
The method comprises the steps that source tracing is carried out through the same shared data identification according to buried point data stored in a tree structure, searching can be carried out by using a node where browsing information occurs, a search tree algorithm is similar to the search tree algorithm, a unique path from a seed node of the browsing information to an initial node shared by a target initiator can be obtained, and the buried point data of the node on the path is the target data.
Further, a friend relationship tree graph can be generated based on the tree structure, each participating node can be sent with the friend relationship tree graph with the node as a root node, a forwarding relationship during sharing is shown for a user, and the user is assisted in knowing and maintaining the friend relationship.
Optionally, the method further includes:
acquiring browsing data of the shared content forwarded to at least two chat groups by the target initiator, wherein the browsing data comprises the number of times that the shared content is clicked, the number of times that the shared content is browsed, the per-capita time length that the shared content is browsed and the number of times that the shared content is forwarded in the at least two chat groups respectively;
and determining one chat group as a recommended forwarding chat group in the at least two chat groups according to the browsing data.
Specifically, the shared content may be forwarded to a chat group, which may be a friend chat group, a group chat, a discussion group, a chat room, and the like of various communicable social software. Where statistical is the chat group forwarded directly by the target originator. The server can acquire related browsing data such as the number of times that the shared content is clicked, the number of times that the shared content is browsed, the average duration of the browsed people and the number of times that the shared content is forwarded in the at least two chat groups, and then analyzes the related browsing data to determine a recommended forwarding chat group which can better achieve a browsing response effect from the at least two chat groups, namely, more chat groups can be comprehensively considered by the clicked number of times, the browsed number of times, the average duration of the browsed people and the number of times that the shared content is forwarded.
103. And sending the target browsing data chain to the terminal equipment.
The target browsing data chain can be sent to the target user side after being obtained, so that the user initiating the sharing can clearly and intuitively know the browsing condition of the friend to the shared content and the operation of each friend node, such as which friends forward for the user, which friends browse, how long the user browses, which friends do not respond, and the like.
According to the method and the device, the shared data identification carried by the browsing information is acquired, and the browsing information is triggered by the terminal node to browse the shared content; taking each node operation data corresponding to the shared data identifier, and generating a target browsing data chain corresponding to the browsing information based on each node operation data corresponding to the shared data identifier, wherein the target browsing data chain comprises data on a path from a target initiator to the terminal node browsing the shared content; and sending the target browsing data chain to a terminal device, wherein the operation data of each node comprises a user initiating sharing and friend users of each node participating in forwarding and browsing operations, and the operation data of the shared content in the interaction between the user and the friends can be timely and accurately integrated to form a browsing data chain, so that more specific friend browsing conditions in the forwarding of the shared content are intuitively provided for the user.
Referring to fig. 2, it is a schematic flowchart of another browsing status data analysis method provided in this embodiment of the application, and as shown in fig. 2, the method may include:
201. and acquiring a shared data identifier carried by browsing information, wherein the browsing information is triggered by a terminal node to browse the shared content.
202. And acquiring each node operation data corresponding to the shared data identifier, and generating a target browsing data chain corresponding to the browsing information based on each node operation data corresponding to the shared data identifier, wherein the target browsing data chain comprises data on a path from a target initiator to the terminal node browsing the shared content.
Step 201 and step 202 may refer to specific descriptions in step 101 and step 102 in the embodiment shown in fig. 1, and are not described herein again.
203. And under the condition that at least two browsing data chains corresponding to the shared content shared by the target initiator are obtained, obtaining the at least two browsing data chains, and obtaining total browsing duration, browsing frequency and total number of forwarding nodes corresponding to the at least two browsing data chains.
Through browsing data of the data chain, calculating and obtaining corresponding total browsing duration, browsing frequency and total number of forwarding nodes, wherein the total browsing duration is the total duration of browsing the shared content by all nodes on the browsing data chain; the browsing frequency is the number of times of browsing by opening the shared content, the total number of the forwarding nodes is the total number of nodes that each node forwards to other nodes, for example, if a user serving as the node M forwards the shared content to 5 friends, the total number of the forwarding nodes of the node is 5.
Optionally, in a case that there may be a browsing operation in an intermediate node of one forwarding data chain, that is, it may be understood that the intermediate node includes multiple sublinks, and statistics may be divided or combined. During the merging statistics, the browsing frequency +1 can be counted in each node where browsing occurs, and all browsing durations on the forwarding data chain are added to obtain the total browsing duration.
204. Analyzing the total browsing duration, the browsing frequency and the total number of forwarding nodes corresponding to the at least two browsing data chains, determining one browsing data chain as a recommended friend chain from the at least two browsing data chains, wherein a friend key node is marked in the recommended friend chain, and the browsing frequency or the browsing duration corresponding to the next node of the friend key node is the maximum.
And calculating a browsing optimal solution, namely the recommended friend chain, according to the data such as the total browsing duration, the browsing frequency, the total number of forwarding nodes and the like. It can be understood that within a relatively short response time (which may be the above-mentioned observation time threshold), a longer total browsing time and a higher browsing frequency result in a browsing optimal solution, wherein, optionally, a relatively small number of browsing process nodes may also be considered.
The above friend key node may be understood that, in the browsing data chain, after the node user forwards the shared content, a next node that receives the shared content forwarded by the node may respond, so that the browsing frequency or browsing duration that is brought by the node increases maximally, that is, it may be understood that relatively many browsing responses are brought to the user initiating the sharing, and thus, the node may be displayed as a friend key node and used as an important node for maintaining a friend relationship.
Wherein, the step 204 may specifically include:
acquiring preset weight values corresponding to the browsing duration, the browsing frequency and the total number of forwarding nodes;
scoring each browsing data chain according to the preset weight value and the total browsing duration, the browsing frequency and the total number of forwarding nodes corresponding to the at least two browsing data chains to obtain a scoring value of each browsing data chain;
and determining the browsing data chain with the highest scoring value as the recommended friend chain from the at least two browsing data chains.
Specifically, the weight values of the above four parts may be preset, the preset weight values may be set and modified as needed, and scoring items may be added or deleted, for example, a browsing response time length may be considered, that is, a time length from when each node receives the forwarded shared content to when the node clicks the shared content to browse (considering that the shorter the time is, the better the time is), so as to evaluate the weighted score of each browsing data chain, obtain the score of each browsing data chain in a scoring manner, and select the browsing data chain with the highest score as the recommended friend chain.
205. And sending the recommended browsing chain to the terminal equipment.
The recommended friend chain can be sent to a user terminal of a target initiator so as to show the optimal browsing link of the shared content to the user. The friend information can be presented on the user terminal in an image and text mode so that a user can visually know user operation on the friend relationship chain, and the friend information can comprise friend click response time, forwarding response time, browsing response time, click frequency, forwarding frequency, browsing duration, browsing frequency and the like acquired when data are collected at a buried point, and key friends are highlighted through marks. The key friend may be a user with the longest browsing time, or may be a user with the longest browsing time (or the largest number of browsing people) after forwarding the link, for example, the threshold value 20 may be set, so that users who achieve at least 20 browsing after forwarding the shared content may be screened out, so as to determine an important link role in the browsing data chain, and the sharing person may pay attention to the friend relationship.
In one possible implementation mode, various sharing modes such as shared links, shared pictures, shared lottery activities, shared attractive information and the like and corresponding friend browsing data chains are compared and analyzed. That is, when the step 204 is executed, different types of shared content initiated by the same user can be classified and counted based on the category identifier of the shared content, and a mode of achieving the optimal browsing solution can be determined according to browsing response time, the total number of forwarding nodes, the total browsing duration, browsing frequency and other data, so as to provide a solution for achieving the optimal browsing solution for the user. For example, in some friend relationships of users, the optimal solution browsing can be achieved by sharing lottery activities, and in some friend relationships of users, the optimal solution browsing can be achieved by sharing attractive information.
By the method, the user can be better helped to know the sharing mode to which sharing object or objects to share in different scenes and different requirements, so that optimal browsing can be brought, the own friend relationship is better managed, and the value maximization is guaranteed on the basis of not influencing the friend relationship.
According to the method and the device, a shared data identifier carried by browsing information is obtained, the browsing information is triggered by a terminal node to browse the shared content, node operation data corresponding to the shared data identifier is obtained, a target browsing data chain corresponding to the browsing information is generated based on the node operation data corresponding to the shared data identifier, the target browsing data chain comprises data on a path from a target initiator to the terminal node browsing the shared content, the operation data of the shared content in interaction between a user and a friend is timely and accurately integrated, and the specific friend browsing data chain is obtained to show friend forwarding and browsing conditions in the forwarding of the shared content for the user; then, under the condition that at least two browsing data chains corresponding to the shared content shared by the target initiator are available, acquiring the at least two browsing data chains, acquiring total browsing duration, browsing frequency and total number of forwarding nodes corresponding to the at least two browsing data chains, analyzing the total browsing duration, browsing frequency and total number of forwarding nodes corresponding to the at least two browsing data chains, determining one browsing data chain as a recommended friend chain from the at least two browsing data chains, wherein the recommended friend chain is marked with a friend key node, a next node of the friend key node corresponds to the browsing frequency or the browsing duration is the largest, and sending the recommended browsing chain to the terminal device, further, counting the obtained data such as the total browsing duration, browsing frequency and total number of forwarding nodes, and calculating the recommended browsing chain, i.e. browsing optimal solutions with relatively less forwarding nodes, resulting in longer total browsing duration and higher browsing frequency. By the method, the browsing optimal solution can be obtained based on the friend data chain, for example, which friend chain is an important relation chain for achieving browsing, so that the user is better advised to share the sharing object to bring optimal browsing, and the user can better run the friend relation of the user.
Referring to fig. 3, which is a schematic structural diagram of a browsing status data analysis apparatus according to an embodiment of the present application, the browsing status data analysis apparatus 300 includes:
an obtaining module 310, configured to obtain a shared data identifier carried by browsing information, where the browsing information is triggered by a browsing operation of a terminal on shared content;
a generating module 320, configured to obtain each node operation data corresponding to the shared data identifier, and generate a target browsing data chain corresponding to the browsing information based on each node operation data corresponding to the shared data identifier, where the target browsing data chain includes data on a path from a target initiator to the terminal node browsing the shared content;
the transmission module 330 is configured to send the target browsing data chain to a terminal device.
Optionally, the generating module 320 is specifically configured to:
searching a correlation node forwards in the operation data of each node by the terminal node until the searched correlation node is the target initiator, and acquiring target data on a path from the target initiator to the terminal node;
and generating a target browsing data chain corresponding to the browsing information according to the operation sequence corresponding to the target data.
Optionally, the browsing status data analysis apparatus 300 further includes an analysis module 340; the obtaining module 310 is further configured to obtain at least two browsing data chains when at least two browsing data chains corresponding to the shared content shared by the target initiator are present; acquiring total browsing duration, browsing frequency and total number of forwarding nodes corresponding to the at least two browsing data chains;
the analysis module 340 is configured to analyze the total browsing duration, the browsing frequency, and the total number of forwarding nodes corresponding to the at least two browsing data chains, and determine one browsing data chain as a recommended friend chain from the at least two browsing data chains, where a friend key node is marked in the recommended friend chain, and the browsing frequency or the browsing duration corresponding to a node next to the friend key node is the largest;
the transmission module 330 is further configured to send the recommended browsing chain to the terminal device.
Optionally, the analysis module 340 is specifically configured to:
acquiring preset weight values corresponding to the browsing duration, the browsing frequency and the total number of forwarding nodes;
scoring each browsing data chain according to the preset weight value and the total browsing duration, the browsing frequency and the total number of forwarding nodes corresponding to the at least two browsing data chains to obtain a scoring value of each browsing data chain;
and determining the browsing data chain with the highest scoring value as the recommended friend chain from the at least two browsing data chains.
Optionally, the obtaining module 310 is further configured to obtain browsing data of the shared content forwarded to at least two chat groups by the target initiator, where the browsing data includes the number of times that the shared content is clicked, the number of times that the shared content is browsed, the average time of people browsed, and the number of times that the shared content is forwarded in the at least two chat groups, respectively;
the analysis module 340 is further configured to determine a chat group as a recommended forwarding chat group from the at least two chat groups according to the browsing data.
Optionally, the obtaining module 310 is further configured to:
before the operation data of each node corresponding to the shared data identifier is obtained, periodically detecting the forwarding operation of the shared content;
and when the forwarding operation is detected, acquiring and storing forwarding information of the forwarding operation, wherein the forwarding information comprises a node identifier, a forwarding object, a forwarding frequency and the shared data identifier.
The obtaining module 310 is further specifically configured to:
acquiring an observation duration threshold set by the target initiator;
and acquiring a timing duration from the moment when the target initiator shares the shared content, and acquiring a shared data identifier carried by browsing information corresponding to the browsing operation if the timing duration is greater than the observation duration threshold.
According to the specific implementation manner of the embodiment of the present application, the execution steps related to the browsing situation data analysis method shown in fig. 1 and fig. 2 may be executed by each module in the browsing situation data analysis apparatus 300 shown in fig. 3.
By the browsing condition data analysis device 300 in the embodiment of the application, the browsing condition data analysis device 300 can acquire the shared data identifier carried by the browsing information, and the browsing information is triggered by the terminal node to browse the shared content; taking each node operation data corresponding to the shared data identifier, and generating a target browsing data chain corresponding to the browsing information based on each node operation data corresponding to the shared data identifier, wherein the target browsing data chain comprises data on a path from a target initiator to the terminal node browsing the shared content; and sending the target browsing data chain to a terminal device, wherein the operation data of each node comprises a user initiating sharing and friend users of each node participating in forwarding and browsing operations, and the operation data of the shared content in the interaction between the user and the friends can be timely and accurately integrated to form a browsing data chain, so that more specific friend browsing conditions in the forwarding of the shared content are intuitively provided for the user.
The terminal device in this embodiment may be used as a user node initiating sharing to interact with the browsing situation data analysis apparatus 300 in the embodiment shown in fig. 3, so as to implement the browsing situation data analysis method in the embodiment shown in fig. 1 or fig. 2, which is not described herein again.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a server according to an embodiment of the present disclosure. As shown in fig. 4, the server 400 includes a processor 401 and a memory 402, wherein the server 400 may further include a bus 403, the processor 401 and the memory 402 may be connected to each other through the bus 403, and the bus 403 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus 403 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus. The server 400 may further include an input/output device 404, and the input/output device 404 may include a display screen, such as a liquid crystal display screen. Memory 402 is used to store one or more programs containing instructions; processor 401 is configured to invoke instructions stored in memory 402 to perform some or all of the method steps described above in the embodiments of fig. 1 and 3.
It should be understood that, in the embodiment of the present Application, the Processor 401 may be a Central Processing Unit (CPU), and the Processor may also be other general processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input device 402 may include a touch pad, a fingerprint sensor (for collecting fingerprint information of a user and direction information of the fingerprint), a microphone, etc., and the output device 403 may include a display (L CD, etc.), a speaker, etc.
The memory 404 may include a read-only memory and a random access memory, and provides instructions and data to the processor 401. A portion of the memory 404 may also include non-volatile random access memory. For example, the memory 404 may also store device type information.
Through the server 400 of the embodiment of the application, the server 400 can acquire the shared data identifier carried by browsing information, and the browsing information is triggered by a terminal node to browse the shared content; taking each node operation data corresponding to the shared data identifier, and generating a target browsing data chain corresponding to the browsing information based on each node operation data corresponding to the shared data identifier, wherein the target browsing data chain comprises data on a path from a target initiator to the terminal node browsing the shared content; and sending the target browsing data chain to a terminal device, wherein the operation data of each node comprises a user initiating sharing and friend users of each node participating in forwarding and browsing operations, and the operation data of the shared content in the interaction between the user and the friends can be timely and accurately integrated to form a browsing data chain, so that more specific friend browsing conditions in the forwarding of the shared content are intuitively provided for the user.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the browsing situation data analysis methods described in the above method embodiments.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the modules is merely a logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or modules through some interfaces, and may be in an electrical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a memory and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Claims (10)
1. A browsing situation data analysis method is characterized by comprising the following steps:
acquiring a shared data identifier carried by browsing information, wherein the browsing information is triggered by a browsing operation of a terminal node on shared content;
acquiring each node operation data corresponding to the shared data identifier, and generating a target browsing data chain corresponding to the browsing information based on each node operation data corresponding to the shared data identifier, wherein the target browsing data chain comprises data on a path from a target initiator to the terminal node browsing the shared content;
and sending the target browsing data chain to the terminal equipment.
2. The method according to claim 1, wherein the generating a target browsing data chain corresponding to the browsing information based on the node operation data corresponding to the shared data identifier comprises:
searching the associated node forwards in the operation data of each node by the terminal node until the searched associated node is the target initiator, and acquiring target data on a path from the target initiator to the terminal node;
and generating a target browsing data chain corresponding to the browsing information according to the operation sequence corresponding to the target data.
3. The method according to claim 2, wherein when at least two browsing data chains corresponding to the shared content shared by the target initiator are present, the method further comprises:
acquiring the at least two browsing data chains;
acquiring total browsing duration, browsing frequency and total number of forwarding nodes corresponding to the at least two browsing data chains;
analyzing the total browsing duration, the browsing frequency and the total number of forwarding nodes corresponding to the at least two browsing data chains, and determining one browsing data chain as a recommended friend chain from the at least two browsing data chains, wherein a friend key node is marked in the recommended friend chain, and the browsing frequency or the browsing duration corresponding to a next node of the friend key node is the largest;
and sending the recommended browsing chain to the terminal equipment.
4. The method of claim 3, wherein the analyzing the total browsing duration, the browsing frequency, and the total number of forwarding nodes corresponding to the at least two browsing data chains, and determining one browsing data chain as the recommended friend chain from the at least two browsing data chains comprises:
acquiring preset weight values corresponding to the browsing duration, the browsing frequency and the total number of forwarding nodes;
scoring each browsing data chain according to the preset weight value and the total browsing duration, the browsing frequency and the total number of forwarding nodes corresponding to the at least two browsing data chains to obtain a scoring value of each browsing data chain;
and determining the browsing data chain with the highest scoring value as the recommended friend chain from the at least two browsing data chains.
5. The method according to claim 3 or 4, characterized in that the method further comprises:
acquiring browsing data of the shared content forwarded to at least two chat groups by the target initiator, wherein the browsing data comprises the number of times of clicking, the number of times of browsing, the per-capita time length of browsing and the number of times of forwarding the shared content in the at least two chat groups respectively;
and determining one chat group as a recommended forwarding chat group in the at least two chat groups according to the browsing data.
6. The method according to claim 5, wherein before the obtaining of the operation data of each node corresponding to the shared data identifier, the method further comprises:
periodically detecting a forwarding operation on the shared content;
and when the forwarding operation is detected, acquiring and storing forwarding information of the forwarding operation, wherein the forwarding information comprises a node identifier, a forwarding object, a forwarding frequency and the shared data identifier.
7. The method according to claim 6, wherein the obtaining of the shared data identifier carried by the browsing information includes:
acquiring an observation duration threshold set by the target initiator;
and acquiring a timing duration from the moment when the target initiator shares the shared content, and acquiring a shared data identifier carried by browsing information corresponding to the browsing operation if the timing duration is greater than the observation duration threshold value.
8. A browsing situation data analysis apparatus, comprising:
the acquisition module acquires a shared data identifier carried by browsing information, wherein the browsing information is triggered by a browsing operation of a terminal node on shared content;
a generating module, configured to acquire each node operation data corresponding to the shared data identifier, and generate a target browsing data chain corresponding to the browsing information based on each node operation data corresponding to the shared data identifier, where the target browsing data chain includes data on a path from a target initiator to the terminal node that browses the shared content;
and the transmission module is used for sending the target browsing data chain to the terminal equipment.
9. A server comprising a processor, an input device, an output device, and a memory, the processor, the input device, the output device, and the memory being interconnected, wherein the memory is configured to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method of any of claims 1-7.
10. A computer storage medium, characterized in that the computer storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to perform the method according to any one of claims 1-7.
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