Information display method, device and equipment, computer readable medium and program product

Abstract

The embodiment of the invention discloses an information display method, device and equipment, a computer readable medium and a program product. A specific embodiment of the method comprises the steps of obtaining a target input data set for a target applet; performing data source identification on each piece of target input data in the target input data set by using a data source category identification method to generate category identification information and obtain a category identification information set; generating data source aggregation information for the target input data set according to the category identification information set; and displaying the data source aggregation information. The implementation mode is related to applet data processing, and the data source category corresponding to the target input data can be determined in a diversified and efficient mode.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to the field of computer technology, and in particular to information display methods, devices, equipment, computer-readable media, and program products. Background Art

[0002] At present, through the statistical analysis of website traffic, we can intuitively understand the size of the website user group, geographical distribution, website content attention, website source and other information. With the explosive growth of Internet data, the refined operation of data sources can adapt to more and more businesses. For the determination of data sources, the usual method is to identify the source channel of data through Referer technology.

[0003] However, the inventors have found that when the above method is used to determine the data source, the following technical problems often occur:

[0004] The statistical dimension of using Referer technology is single, and there are problems of empty information or tampered information, which leads to poor usability and low recognition efficiency.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the inventive concept and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art. Summary of the invention

[0006] The content of this disclosure is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The content of this disclosure is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0007] Some embodiments of the present disclosure propose information display methods, devices, electronic devices, computer-readable media, and program products to solve the technical problems mentioned in the above background technology section.

[0008] In a first aspect, some embodiments of the present disclosure provide an information display method, including: obtaining a target input data set for a target mini-program; using a data source category identification method set to identify the data source of each target input data in the above target input data set to generate category identification information and obtain a category identification information set, wherein the data source identification method in the above data source category identification method set is an identification method for performing source identification on a corresponding category dimension; generating data source aggregation information for the above target input data set based on the above category identification information set; and displaying the above data source aggregation information.

[0009] Optionally, the above-mentioned data source category identification method set includes at least one of the following: a category identification method based on native source address identification, a category identification method based on page source address identification, a category identification method based on application information identification, and a category identification method based on scene value identification.

[0010] Optionally, the data source category identification method is used to identify the data source of each target input data in the target input data set to generate category identification information, including: using the category identification method based on native source address identification to identify the native source address of the target input data to generate native source address identification information; in response to determining that the native source address identification information represents that the data source category corresponding to the target input data is not the native source category, using the category identification method based on page source address identification to identify the page source address of the target input data to generate page source address identification information; in response to determining that the page source address identification information represents that the data source category corresponding to the target input data is the page source category, determining the page source address identification information as the category identification information.

[0011] Optionally, the above-mentioned method set for identifying the data source category is used to identify the data source of each target input data in the above-mentioned target input data set to generate category identification information, including: in response to the page source address identification information characterizing that the data source category corresponding to the above-mentioned target input data is not the page source category, using the above-mentioned category identification method based on application information identification to perform application information identification on the above-mentioned target input data to generate application identification information, wherein the above-mentioned page source address identification information is the identification result of identifying the target input data using the category identification method based on page source address identification; in response to determining that the above-mentioned application identification information characterizes that the data source category corresponding to the above-mentioned target input data is not the application source category, using the above-mentioned category identification method based on scene value identification to perform scene value information identification on the above-mentioned target input data to generate scene value identification information; in response to determining that the above-mentioned scene value identification information characterizes that the data source category corresponding to the above-mentioned target input data is the scene value source category, determining the above-mentioned scene value identification information as the above-mentioned category identification information.

[0012] Optionally, the method further includes: in response to determining that the page source address identification information represents that the data source category corresponding to the target input data is not the page source category, using the category identification method based on application information identification to perform application information identification on the target input data to generate application identification information; in response to determining that the application identification information represents that the data source category corresponding to the target input data is not the application source category, using the category identification method based on scene value identification to perform scene value information identification on the target input data to generate scene value identification information; in response to determining that the scene value identification information represents that the data source category corresponding to the target input data is the scene value source category, determining the scene value identification information as the category identification information.

[0013] Optionally, the above method also includes: in response to determining that the scene value identification information represents that the data source category corresponding to the target input data is not the scene value source category, determining the information representing that the data source category corresponding to the target input data is the target source category as category identification information, and using the relevant technology stack completion method to perform data detail completion processing on the target input data to generate completed data.

[0014] Optionally, the target input data set is generated by the following steps: obtaining an initial reporting data set for the target applet; performing data preprocessing on each initial reporting data in the initial reporting data set to obtain a preprocessed reporting data set as the target input data set.

[0015] In a second aspect, some embodiments of the present disclosure provide an information display device, including: an acquisition unit, configured to acquire a target input data set for a target mini-program; a first generation unit, configured to use a data source category identification method set to perform data source identification on each target input data in the above target input data set to generate category identification information and obtain a category identification information set, wherein the data source identification method in the above data source category identification method set is an identification method for performing source identification on a corresponding category dimension; a second generation unit, configured to generate data source aggregation information for the above target input data set based on the above category identification information set; and a display unit, configured to display information on the above data source aggregation information.

[0016] Optionally, the above-mentioned data source category identification method set includes at least one of the following: a category identification method based on native source address identification, a category identification method based on page source address identification, a category identification method based on application information identification, and a category identification method based on scene value identification.

[0017] Optionally, the first generation unit can be configured to: utilize the above-mentioned category identification method based on native source address identification to perform native source address identification on the above-mentioned target input data to generate native source address identification information; in response to determining that the above-mentioned native source address identification information represents that the data source category corresponding to the above-mentioned target input data is not the native source category, utilize the above-mentioned category identification method based on page source address identification to perform page source address identification on the above-mentioned target input data to generate page source address identification information; in response to determining that the above-mentioned page source address identification information represents that the data source category corresponding to the above-mentioned target input data is the page source category, determine the above-mentioned page source address identification information as category identification information.

[0018] Optionally, the first generation unit can be configured to: in response to determining that the above-mentioned page source address identification information represents that the data source category corresponding to the above-mentioned target input data is not the page source category, use the above-mentioned category identification method based on application information identification to perform application information identification on the above-mentioned target input data to generate application identification information; in response to determining that the above-mentioned application identification information represents that the data source category corresponding to the above-mentioned target input data is not the application source category, use the above-mentioned category identification method based on scene value identification to perform scene value information identification on the above-mentioned target input data to generate scene value identification information; in response to determining that the above-mentioned scene value identification information represents that the data source category corresponding to the above-mentioned target input data is the scene value source category, determine the above-mentioned scene value identification information as the above-mentioned category identification information.

[0019] Optionally, the first generation unit can be configured to: in response to the page source address identification information characterizing that the data source category corresponding to the above-mentioned target input data is not the page source category, use the above-mentioned category identification method based on application information identification to perform application information identification on the above-mentioned target input data to generate application identification information, wherein the above-mentioned page source address identification information is the identification result of identifying the target input data using the category identification method based on page source address identification; in response to determining that the above-mentioned application identification information characterizes that the data source category corresponding to the above-mentioned target input data is not the application source category, use the above-mentioned category identification method based on scene value identification to perform scene value information identification on the above-mentioned target input data to generate scene value identification information; in response to determining that the above-mentioned scene value identification information characterizes that the data source category corresponding to the above-mentioned target input data is the scene value source category, determine the above-mentioned scene value identification information as the above-mentioned category identification information.

[0020] Optionally, the first generating unit can be configured to: in response to determining that the scene value identification information characterizes that the data source category corresponding to the target input data is not the scene value source category, determine the information characterizing that the data source category corresponding to the target input data is the target source category as category identification information, and use the relevant technology stack completion method to perform data detail completion processing on the target input data to generate completed data.

[0021] Optionally, the target input data set is generated by the following steps: obtaining an initial reporting data set for the target applet; performing data preprocessing on each initial reporting data in the initial reporting data set to obtain a preprocessed reporting data set as the target input data set.

[0022] In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any implementation manner in the first aspect.

[0023] In a fourth aspect, some embodiments of the present disclosure provide a computer-readable medium having a computer program stored thereon, wherein when the program is executed by a processor, the method described in any implementation manner in the first aspect is implemented.

[0024] In a fifth aspect, some embodiments of the present disclosure provide a computer program product, including a computer program, which implements the method described in any implementation manner in the above-mentioned first aspect when executed by a processor.

[0025] The above-mentioned embodiments of the present disclosure have the following beneficial effects: through the information display method of some embodiments of the present disclosure, the data source category corresponding to the target input data can be determined in a diversified and efficient manner. Specifically, the reason why the relevant data source category is not accurate enough is that the statistical dimension of the Referer technology is single, and there is a problem that the information is empty or the information is tampered with, resulting in poor usability and low recognition efficiency. Based on this, the information display method of some embodiments of the present disclosure first obtains the target input data set for the target applet as a data source to subsequently determine the data source category corresponding to each target input data. Then, using the data source category identification method set, each target input data in the above target input data set is identified for the data source to generate category identification information and obtain a category identification information set, wherein the data source identification method in the above data source category identification method set is an identification method for source identification for the corresponding category dimension. Here, through the data source category identification method set corresponding to each category dimension, the data source category of each target input data can be accurately determined in a multi-dimensional and comprehensive manner. In addition, not only can the source category be accurately determined using the Su data source category identification method set, but there is also no problem that the information is empty or the information is tampered with. Then, based on the above-mentioned category identification information set, the data source aggregation information for the above-mentioned target input data set is generated to intuitively display the aggregated content in the target input data set. Finally, the data source aggregation information is displayed to quickly understand the various content information corresponding to the data. In summary, through the data source category identification method set, the data source category of each target input data can be determined efficiently in a multi-dimensional, comprehensive and efficient manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that components and elements are not necessarily drawn to scale.

[0027] Figure 1 is a schematic diagram of an application scenario of the information display method according to some embodiments of the present disclosure;

[0028] Figure 2 is a flow chart of some embodiments of the information display method according to the present disclosure;

[0029] Figure 3 are flow charts of other embodiments of the information display method according to the present disclosure;

[0030] Figure 4 is a schematic diagram of data source aggregation information in some embodiments of the information display method of the present disclosure;

[0031] Figure 5 is a schematic diagram of the structure of some embodiments of the information display device according to the present disclosure;

[0032] Figure 6 It is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present disclosure. DETAILED DESCRIPTION

[0033] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0034] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present disclosure can be combined with each other.

[0035] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0036] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0037] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0038] For the collection, storage, use and other operations involved in this disclosure (such as target input data), before performing the corresponding operations, the relevant organizations or individuals shall fulfill their obligations including conducting data security impact assessments, fulfilling the obligation to inform the data subject, and obtaining the authorization and consent of the data subject in advance.

[0039] The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0040] Figure 1 It is a schematic diagram of an application scenario of the information display method according to some embodiments of the present disclosure.

[0041] exist Figure 1In the application scenario, first, the electronic device 101 can obtain the target input data set 103 for the target applet 102. In this application scenario, the target applet 102 can be the A applet. The target input data set 103 includes: the first business detail page data 1031, the second business detail page 1032, the first promotion data 1033 and the second promotion data 1034. Then, the electronic device 101 can use the data source category identification method set 104 to identify the data source of each target input data in the above target input data set 103 to generate category identification information and obtain the category identification information set 105. Among them, the data source identification method in the above data source category identification method set 105 is an identification method for source identification for the corresponding category dimension. In this application scenario, the data source category identification method set 104 includes: A source category identification method 1041, B source category identification method 1042, C source category identification method 1043 and D source category identification method 1044. The category identification information set 105 includes: category identification information 1051 corresponding to the first business detail page data 1031 identified by the A source category identification method 1041, category identification information 1052 corresponding to the first business detail page data 1032 identified by the C source category identification method 1043, category identification information 1053 corresponding to the first promotion data 1033 identified by the B source category identification method 1044, and category identification information 1054 corresponding to the second promotion data 1034 identified by the A source category identification method 1041. Category identification information 1051 may be “identification information of the category from source A”. Category identification information 1052 may be “identification information of the category from source C”. Category identification information 1053 may be “identification information of the category from source B”. Category identification information 1054 may be “identification information of the category from source D”. Then, the electronic device 101 may generate data source aggregation information 106 for the target input data set 103 according to the category identification information set 105. Finally, the electronic device 101 may display the above-mentioned data source aggregation information 106 .

[0042] It should be noted that the electronic device 101 can be hardware or software. When the electronic device is hardware, it can be implemented as a distributed cluster consisting of multiple servers or terminal devices, or it can be implemented as a single server or a single terminal device. When the electronic device is embodied as software, it can be installed in the hardware devices listed above. It can be implemented as multiple software or software modules for providing distributed services, for example, or it can be implemented as a single software or software module. No specific limitation is made here.

[0043] It should be understood that Figure 1The number of electronic devices in the embodiment is only for illustration. Any number of electronic devices may be provided according to implementation requirements.

[0044] Continue to refer Figure 2 , shows a process 200 of some embodiments of the information display method according to the present disclosure. The information display method comprises the following steps:

[0045] Step 201, obtaining a target input data set for a target applet.

[0046] In some embodiments, the execution subject of the above information display method (for example Figure 1 The electronic device 101 shown) can obtain a target input data set for a target applet through a wired connection or a wireless connection. Among them, the target applet can be a applet that generates a target input data set. In practice, the target applet can be a product page applet A. The target input data in the target input data set can be data for data source category determination. The target input data set can be a data set generated by the target applet in a target scenario. For example, the target scenario is different for different functional roles of the target applet. For example, the target applet can be a product detail page display applet. The corresponding target scenario can be a product sales scenario.

[0047] In some optional implementations of some embodiments, the target input data set is generated by the following steps:

[0048] The first step is to obtain an initial reporting data set for the target applet, wherein the initial reporting data set may be a reporting data set directly obtained from the target applet and not yet processed.

[0049] It should be noted that the initial reported data set can be obtained through data tracking technology and real-time log collection and analysis technology. Data tracking technology refers to the front-end code tracking reporting technology. Specifically, data tracking technology can refer to the real-time browsing traffic data reporting technology of small programs. The front end can uniformly report the common data of the analysis model by encapsulating the relevant SDK (Software Development Kit). Among them, the uniformly encapsulated data information belongs to the technology that comes with the developer tool and can be directly obtained, and is not affected by actual business development. Real-time log collection and analysis technology mainly refers to data collection on related web servers. For example, data is collected from nginx logs. It is worth noting that if nginx is used as a reverse proxy, the Referer technology will be tampered with without special configuration.

[0050] The second step is to perform data preprocessing on each of the initial reported data sets to obtain a preprocessed reported data set as the target input data set. The data preprocessing may include but is not limited to at least one of the following: data cleaning, data deletion, and data addition.

[0051] Optionally, the execution entity may store the target input data set into a storage medium.

[0052] Step 202, using a data source category identification method set, performs data source identification on each target input data in the above target input data set to generate category identification information and obtain a category identification information set.

[0053] In some embodiments, the execution subject may use a data source category identification method set to identify the data source of each target input data in the target input data set to generate category identification information and obtain a category identification information set. The data source identification method in the data source category identification method set is an identification method for performing source identification for a corresponding category dimension. Each data source category identification method in the data source category identification method set has a corresponding category dimension. The category dimension may be a data category set for various data source channels. The data source category identification method may be a method for identifying data source category information. The category identification information may characterize the data source category of the target input data.

[0054] In some optional implementations of some embodiments, the above-mentioned data source category identification method set includes at least one of the following: a category identification method based on native source address identification, a category identification method based on page source address identification, a category identification method based on application information identification, and a category identification method based on scene value identification.

[0055] Among them, the category identification method based on native source address identification may be a method for determining the data source category by identifying the native source address. The native source address has a corresponding address format. For example, taking the mini program business details module as an example, the address format of the corresponding native source address may be pages / item / detail / detail. The native source address identification information may be identification information that characterizes whether the data source category corresponding to the above-mentioned target input data is a native source category. The native source category may be a source category that characterizes that the data source is a mini program internal jump. The category identification method based on page source address identification may be a method for determining the data source category by identifying the H5 source address. In practice, the category identification method based on page source address identification may use webview to identify the H5 source address. The page source address identification information may be a source category that characterizes that the data source is a source category that jumps to the mini program function page through the H5 page. In practice, the mini program often jumps to the WeChat mini program function page through the H5 page. For example, a general e-commerce activity page generally embeds an H5 address in an e-commerce mini program (the H5 address is convenient for nesting and sharing). There are promotional products upstream of the activity, and clicking on the product image will evoke the product details page. At this time, the product details page is a native page of the mini program. Therefore, when analyzing the source of the native product page of the mini program, the analysis content of the ordinary Referer technology is empty. The source can be analyzed in depth by using the embedded webview component to obtain the H5 address in the container. The category identification method based on application information identification can be a method of determining the data source category by identifying application information. In practice, the application information can be the application identifier of an external application (Application). The category identification method based on scene value identification is a method of determining the data source category by identifying the scene value. The scene value is used to describe the path of the user entering the mini program in the target software. For example, taking the shopping product details page as an example, the product details page can be entered through the search in the business, and it can also be entered by {long press the image to identify the one-dimensional code} (that is, the scene value 1031) that comes with the target software. The image recognition method cannot analyze the native page path, H5 path and application identifier, but through the scene value, it can effectively analyze and understand the source method. For example, when a function of mini program A is clicked, a page of mini program B will be called up. When tracing the page source of Mini Program B, each Mini Program has a unique application ID, and the source can be queried through the application ID.

[0056] Optionally, the above-mentioned data source category identification method set includes at least one of the following: a category identification method based on native source address identification, a category identification method based on page source address identification, a category identification method based on application information identification, and a category identification method based on scene value identification. The above-mentioned execution entity can adopt at least one category identification method in the data source category identification method set to perform category identification.

[0057] In practice, the method by which the execution subject performs category identification may be one of the following:

[0058] (1) Category identification method based on native source address identification.

[0059] As an example, the execution entity may utilize the category identification method based on native source address identification to perform native source address identification on the target input data to generate native source address identification information as category identification information.

[0060] (2) Category identification method based on page source address identification.

[0061] As an example, the execution subject may utilize the category identification method based on page source address identification to perform page source address identification on the target input data to generate page source address identification information as category identification information.

[0062] (3) Category recognition method based on application information recognition.

[0063] As an example, the execution subject may utilize the category identification method based on application information identification to perform application information identification on the target input data to generate application information identification information as category identification information.

[0064] (4) Category recognition method based on scene value recognition.

[0065] As an example, the execution subject may utilize the category recognition method based on scene value recognition to perform scene value recognition on the target input data to generate scene value recognition information as category recognition information.

[0066] (5) Category identification method based on native source address identification and page source address identification. In practice, the specific implementation method may be to first execute the category identification method based on native source address identification, and then execute the category identification method based on page source address identification. Similarly, the category identification method based on page source address identification may be first executed, and then execute the category identification method based on native source address identification. The specific implementation details will not be elaborated in detail.

[0067] (6) Category identification method based on native source address identification and application information identification.

[0068] In practice, the specific implementation method may be to first execute the category identification method based on native source address identification, and then execute the category identification method based on application information identification. Similarly, it is also possible to first execute the category identification method based on application information identification, and then execute the category identification method based on native source address identification. The specific implementation details are not elaborated in detail. Please refer to the execution of the two category identification methods in step 302 and step 303.

[0069] (7) Category recognition method based on native source address recognition and scene value recognition.

[0070] In practice, the specific implementation method may be to first execute the category identification method based on native source address identification, and then execute the category identification method based on application information identification. Similarly, it is also possible to first execute the category identification method based on application information identification, and then execute the category identification method based on native source address identification. The specific implementation details are not elaborated in detail. Please refer to the execution of the two category identification methods in step 302 and step 303.

[0071] (8) Category identification method based on page source address identification and application information identification.

[0072] In practice, the specific implementation method may be to first execute the category identification method based on page source address identification, and then execute the category identification method based on application information identification. Similarly, it is also possible to first execute the category identification method based on application information identification, and then execute the category identification method based on page source address identification. The specific implementation details are not elaborated in detail. Please refer to the execution of the two category identification methods in step 302 and step 303.

[0073] (9) Category recognition method based on page source address recognition and scene value recognition.

[0074] In practice, the specific implementation method may be to first execute the category identification method based on page source address identification, and then execute the category identification method based on scene value identification. Similarly, it is also possible to first execute the category identification method based on scene value identification, and then execute the category identification method based on page source address identification. The specific implementation details are not described in detail. Please refer to the execution of the two category identification methods in step 302 and step 303.

[0075] (10) Category recognition method based on application information recognition and scene value recognition.

[0076] In practice, the specific implementation method may be to first execute the category identification method based on application information identification, and then execute the category identification method based on scene value identification. Similarly, it is also possible to first execute the category identification method based on scene value identification, and then execute the category identification method based on application information identification. The specific implementation details are not described in detail. Please refer to the execution of the two category identification methods in step 302 and step 303.

[0077] (11) Category identification method based on native source address identification, page source address identification and application information identification. The specific implementation sequence of various identification methods will not be repeated, and the corresponding implementation details will not be elaborated in detail. It can be further extended based on the execution method of the two category identification methods in step 302 and step 303.

[0078] (12) Category identification method based on native source address identification, page source address identification and scene value identification. The specific implementation sequence of various identification methods will not be repeated, and the corresponding implementation details will not be elaborated in detail. It can be further extended based on the execution method of the two category identification methods in step 302 and step 303.

[0079] (13) Category identification method based on native source address identification, application information identification and scene value identification. The specific implementation sequence of various identification methods will not be repeated, and the corresponding implementation details will not be elaborated in detail. It can be further extended based on the execution method of the two category identification methods in step 302 and step 303.

[0080] (14) Category identification method based on page source address identification, application information identification and scene value identification. The specific implementation sequence of various identification methods will not be repeated, and the corresponding implementation details will not be elaborated in detail. It can be further extended based on the execution method of the two category identification methods in step 302 and step 303.

[0081] (15) Category identification method based on page source address identification, application information identification, scene value identification and page source address identification. The specific implementation sequence of various identification methods will not be repeated, and the corresponding implementation details will not be elaborated in detail. It can be further extended based on the execution method of the two category identification methods in step 302 and step 303.

[0082] In some optional implementations of some embodiments, the above-mentioned method set of using data source category identification to identify the data source of each target input data in the above-mentioned target input data set to generate category identification information may include the following steps:

[0083] In the first step, in response to the page source address identification information indicating that the data source category corresponding to the target input data is not the page source category, the target input data is subjected to application information identification using the category identification method based on application information identification to generate application identification information. The page source address identification information is the identification result of the target input data using the category identification method based on page source address identification. The application source category may be a source category indicating that the data source is a jump from an external application. The application identification information may indicate whether the data source category corresponding to the target input data is an application source category.

[0084] In the second step, in response to determining that the application identification information indicates that the data source category corresponding to the target input data is not an application source category, the target input data is subjected to scene value information identification using the category identification method based on scene value identification to generate scene value identification information. The scene value identification information may be information indicating whether the data source category corresponding to the target input data is a scene value source category. The scene value source category may indicate that the data source is a source category of a one-dimensional code identified by long pressing an image.

[0085] In a third step, in response to determining that the scene value identification information represents that the data source category corresponding to the target input data is a scene value source category, the scene value identification information is determined as the category identification information.

[0086] Step 203: Generate data source aggregation information for the target input data set based on the category identification information set.

[0087] In some embodiments, the execution subject may generate data source aggregation information for the target input data set based on the category identification information set. The data source aggregation information may be data source summary information corresponding to the target input data set. The data source aggregation information may include: the number of data corresponding to each data source category, and the data corresponding to each data source.

[0088] As an example, first, the execution subject may determine the number of data corresponding to each data source category according to the data source category corresponding to each category identification information in the category identification information set. Then, each data source category and the number of data corresponding to each data source category are filled into the corresponding empty list to generate data source aggregation information in the form of a list.

[0089] Step 204: Display the aggregated information of the above data sources.

[0090] In some embodiments, the above-mentioned execution entity can display the above-mentioned data source aggregated information.

[0091] The above-mentioned embodiments of the present disclosure have the following beneficial effects: through the information display method of some embodiments of the present disclosure, the data source category corresponding to the target input data can be determined in a diversified and efficient manner. Specifically, the reason why the relevant data source category is not accurate enough is that the statistical dimension of the Referer technology is single, and there is a problem that the information is empty or the information is tampered with, resulting in poor usability and low recognition efficiency. Based on this, the information display method of some embodiments of the present disclosure first obtains the target input data set for the target applet as a data source to subsequently determine the data source category corresponding to each target input data. Then, using the data source category identification method set, each target input data in the above target input data set is identified for the data source to generate category identification information and obtain a category identification information set, wherein the data source identification method in the above data source category identification method set is an identification method for source identification for the corresponding category dimension. Here, through the data source category identification method set corresponding to each category dimension, the data source category of each target input data can be accurately determined in a multi-dimensional and comprehensive manner. In addition, not only can the source category be accurately determined using the Su data source category identification method set, but there is also no problem that the information is empty or the information is tampered with. Then, based on the above-mentioned category identification information set, the data source aggregation information for the above-mentioned target input data set is generated to intuitively display the aggregated content in the target input data set. Finally, the data source aggregation information is displayed to quickly understand the various content information corresponding to the data. In summary, through the data source category identification method set, the data source category of each target input data can be determined efficiently in a multi-dimensional, comprehensive and efficient manner.

[0092] Further references Figure 3 , shows a process 300 of another embodiment of the information display method according to the present disclosure. The information display method comprises the following steps:

[0093] Step 301, obtaining a target input data set for a target applet.

[0094] Step 302, using the above-mentioned category identification method based on native source address identification, perform native source address identification on the above-mentioned target input data to generate native source address identification information.

[0095] In some embodiments, an execution entity (e.g. Figure 1The electronic device 101 shown can use the above-mentioned category identification method based on native source address identification to perform native source address identification on the above-mentioned target input data to generate native source address identification information. Among them, the above-mentioned data source category identification method set includes at least one of the following: a category identification method based on native source address identification, a category identification method based on page source address identification, a category identification method based on application information identification, and a category identification method based on scene value identification.

[0096] Optionally, in response to determining that the native source address identification information represents that the data source category corresponding to the target input data is a native source category, the native source address identification information is determined as category identification information.

[0097] Step 303, in response to determining that the native source address identification information indicates that the data source category corresponding to the target input data is not the native source category, the target input data is subjected to page source address identification using the category identification method based on page source address identification to generate page source address identification information.

[0098] In some embodiments, in response to determining that the native source address identification information indicates that the data source category corresponding to the target input data is not a native source category, the execution subject may use the category identification method based on page source address identification to perform page source address identification on the target input data to generate page source address identification information. The page source address identification information may be information indicating whether the data source category corresponding to the target input data is a page source category.

[0099] Step 304 , in response to determining that the page source address identification information indicates that the data source category corresponding to the target input data is a page source category, the page source address identification information is determined as category identification information.

[0100] In some embodiments, in response to determining that the page source address identification information indicates that the data source category corresponding to the target input data is a page source category, the execution subject may determine the page source address identification information as category identification information. In some optional implementations of some embodiments, after step 304, the steps further include:

[0101] In the first step, in response to determining that the page source address identification information indicates that the data source category corresponding to the target input data is not the page source category, the category identification method based on application information identification is used to perform application information identification on the target input data to generate application identification information.

[0102] In the second step, in response to determining that the application identification information represents that the data source category corresponding to the target input data is not the application source category, the category identification method based on scene value identification is used to identify the scene value information of the target input data to generate scene value identification information.

[0103] In a third step, in response to determining that the scene value identification information represents that the data source category corresponding to the target input data is a scene value source category, the scene value identification information is determined as the category identification information.

[0104] Optionally, in response to determining that the application identification information represents that the data source category corresponding to the target input data is an application source category, the application identification information is determined as category identification information.

[0105] In some optional implementations of some embodiments, the steps further include:

[0106] In response to determining that the scene value identification information represents that the data source category corresponding to the target input data is not the scene value source category, the above-mentioned execution entity may determine the information representing that the data source category corresponding to the target input data is the target source category as the category identification information, and use the relevant technology stack completion method to perform data detail completion processing on the target input data to generate completed data. Specifically, the relevant technology stack completion method includes but is not limited to at least one of the following: multi-level address stack technology, mini-program version number technology, and ua technology in cookies. The ua technology in cookies can be a technology used to identify whether it is brush traffic. The mini-program version number technology can be used to distinguish between new and old versions by analyzing the mini-program version number to determine whether the source needs to continue to be paid attention to. The target source category may be other data source categories.

[0107] In practice, the above data source category identification method set includes at least one of the following: a category identification method based on native source address identification, a category identification method based on page source address identification, a category identification method based on application information identification, and a category identification method based on scene value identification. The corresponding data source aggregation information can be as follows: Figure 4 shown.

[0108] Step 305: Generate data source aggregation information for the target input data set based on the category identification information set.

[0109] Step 306: Display the aggregated information of the above data sources.

[0110] In some embodiments, the specific implementation of steps 301, 305-306 and the technical effects thereof can be referred to in Figure 2 The steps 201, 203-204 in the corresponding embodiment will not be described in detail here.

[0111] from Figure 3 It can be seen that Figure 2 Compared with the description of some corresponding embodiments, Figure 3 In some corresponding embodiments, the process 300 of the information display method can accurately identify whether the target input data is a native source category or a page source category by using a category identification method based on native source address identification and a category identification method based on page source address identification.

[0112] Further references Figure 5 As an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of an information display device. These device embodiments are similar to Figure 2 Corresponding to the method embodiments shown, the information display device can be specifically applied to various electronic devices.

[0113] like Figure 5 As shown, an information display device 500 includes: an acquisition unit 501, a first generation unit 502, a second generation unit 503 and a display unit 504. The acquisition unit 501 is configured to acquire a target input data set for a target applet; the first generation unit 502 is configured to use a data source category identification method set to perform data source identification on each target input data in the target input data set to generate category identification information and obtain a category identification information set, wherein the data source identification method in the data source category identification method set is an identification method for performing source identification on a corresponding category dimension; the second generation unit 503 is configured to generate data source aggregation information for the target input data set according to the category identification information set; and the display unit 504 is configured to display the data source aggregation information.

[0114] In some optional implementations of some embodiments, the above-mentioned data source category identification method set includes at least one of the following: a category identification method based on native source address identification, a category identification method based on page source address identification, a category identification method based on application information identification, and a category identification method based on scene value identification.

[0115] In some optional implementations of some embodiments, the first generation unit 502 can be further configured to: utilize the above-mentioned category identification method based on native source address identification to perform native source address identification on the above-mentioned target input data to generate native source address identification information; in response to determining that the above-mentioned native source address identification information represents that the data source category corresponding to the above-mentioned target input data is not the native source category, utilize the above-mentioned category identification method based on page source address identification to perform page source address identification on the above-mentioned target input data to generate page source address identification information; in response to determining that the above-mentioned page source address identification information represents that the data source category corresponding to the above-mentioned target input data is the page source category, determine the above-mentioned page source address identification information as category identification information.

[0116] In some optional implementations of some embodiments, the first generation unit 502 may be further configured to: in response to the page source address identification information characterizing that the data source category corresponding to the above-mentioned target input data is not the page source category, using the above-mentioned category identification method based on application information identification, perform application information identification on the above-mentioned target input data to generate application identification information, wherein the above-mentioned page source address identification information is an identification result of identifying the target input data using the category identification method based on page source address identification; in response to determining that the above-mentioned application identification information characterizes that the data source category corresponding to the above-mentioned target input data is not the application source category, using the above-mentioned category identification method based on scene value identification, perform scene value information identification on the above-mentioned target input data to generate scene value identification information; in response to determining that the above-mentioned scene value identification information characterizes that the data source category corresponding to the above-mentioned target input data is the scene value source category, determine the above-mentioned scene value identification information as the above-mentioned category identification information.

[0117] In some optional implementations of some embodiments, the first generation unit 502 may be further configured to: in response to determining that the page source address identification information represents that the data source category corresponding to the target input data is not the page source category, using the category identification method based on application information identification, perform application information identification on the target input data to generate application identification information; in response to determining that the application identification information represents that the data source category corresponding to the target input data is not the application source category, using the category identification method based on scene value identification, perform scene value information identification on the target input data to generate scene value identification information; in response to determining that the scene value identification information represents that the data source category corresponding to the target input data is the scene value source category, determine the scene value identification information as the category identification information.

[0118] In some optional implementations of some embodiments, the first generation unit 502 may be further configured to: in response to determining that the scene value identification information characterizes that the data source category corresponding to the target input data is not the scene value source category, determine the information characterizing that the data source category corresponding to the target input data is the target source category as category identification information, and utilize the relevant technology stack completion method to perform data detail completion processing on the target input data to generate completed data.

[0119] It is understandable that the units recorded in the information display device 500 are similar to those in the reference Figure 2 Therefore, the operations, features and beneficial effects described above for the method are also applicable to the information display device 500 and the units included therein, and will not be described in detail here.

[0120] Reference below Figure 6 , which shows an electronic device (eg, Figure 1 Schematic diagram of the structure of the electronic device 101)600. Figure 6 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0121] like Figure 6 As shown, the electronic device 600 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory 602 or a program loaded from a storage device 608 into a random access memory 603. Various programs and data required for the operation of the electronic device 600 are also stored in the random access memory 603. The processing device 601, the read-only memory 602, and the random access memory 603 are connected to each other via a bus 604. An input / output interface 605 is also connected to the bus 604.

[0122] Typically, the following devices may be connected to the input / output interface 605: an input device 606 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 607 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 608 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 609. The communication device 609 may allow the electronic device 600 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 6 The electronic device 600 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 6 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0123] In particular, according to some embodiments of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from a network through a communication device 609, or installed from a storage device 608, or installed from a read-only memory 602. When the computer program is executed by the processing device 601, the above-mentioned functions defined in the method of some embodiments of the present disclosure are executed.

[0124] It should be noted that the computer-readable medium in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present disclosure, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In some embodiments of the present disclosure, the computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0125] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0126] The computer-readable medium may be included in the electronic device; or it may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: obtains a target input data set for a target applet; uses a data source category identification method set to identify the data source of each target input data in the target input data set to generate category identification information and obtain a category identification information set, wherein the data source identification method in the data source category identification method set is an identification method for identifying the source for the corresponding category dimension; generates data source aggregation information for the target input data set based on the category identification information set; and displays the data source aggregation information.

[0127] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0128] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0129] The units described in some embodiments of the present disclosure may be implemented by software or by hardware. The described units may also be provided in a processor, for example, may be described as: a processor comprising an acquisition unit, a first generation unit, a second generation unit and a display unit. Among them, the names of these units do not constitute a limitation on the unit itself in certain cases, for example, the acquisition unit may also be described as a "unit for acquiring a target input data set for a target applet".

[0130] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0131] Some embodiments of the present disclosure further provide a computer program product, including a computer program, which implements any of the above-mentioned information display methods when executed by a processor.

[0132] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalent features without departing from the above-mentioned inventive concept. For example, the above-mentioned features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to) and the technical solutions formed.

Claims

1. An information display method, comprising: Obtain a target input data set for a target applet; Using the data source category identification method set, the data source of each target input data in the target input data set is identified to generate category identification information, thereby obtaining a category identification information set, wherein the data source identification method in the data source category identification method set is an identification method for performing source identification for a corresponding category dimension; generating data source aggregation information for the target input data set according to the category identification information set; The data source aggregate information is displayed.

2. The method according to claim 1, wherein: The data source category identification method set includes at least one of the following: a category identification method based on native source address identification, a category identification method based on page source address identification, a category identification method based on application information identification, and a category identification method based on scene value identification.

3. The method according to claim 2, wherein: The method of using the data source category identification method set to identify the data source of each target input data in the target input data set to generate category identification information includes: Using the category identification method based on native source address identification, perform native source address identification on the target input data to generate native source address identification information; In response to determining that the native source address identification information indicates that the data source category corresponding to the target input data is not a native source category, using the category identification method based on page source address identification, performing page source address identification on the target input data to generate page source address identification information; In response to determining that the page source address identification information represents that the data source category corresponding to the target input data is a page source category, the page source address identification information is determined as category identification information.

4. The method according to claim 2, wherein: The method of using the data source category identification method set to identify the data source of each target input data in the target input data set to generate category identification information includes: In response to the page source address identification information indicating that the data source category corresponding to the target input data is not the page source category, using the category identification method based on application information identification, performing application information identification on the target input data to generate application identification information, wherein the page source address identification information is an identification result of identifying the target input data using the category identification method based on page source address identification; In response to determining that the application identification information indicates that the data source category corresponding to the target input data is not an application source category, using the category identification method based on scene value identification, performing scene value information identification on the target input data to generate scene value identification information; In response to determining that the scene value identification information represents that the data source category corresponding to the target input data is a scene value source category, the scene value identification information is determined as the category identification information.

5. The method according to claim 3, wherein: The method further comprises: In response to determining that the page source address identification information indicates that the data source category corresponding to the target input data is not a page source category, using the category identification method based on application information identification, performing application information identification on the target input data to generate application identification information; In response to determining that the application identification information indicates that the data source category corresponding to the target input data is not an application source category, using the category identification method based on scene value identification, performing scene value information identification on the target input data to generate scene value identification information; In response to determining that the scene value identification information represents that the data source category corresponding to the target input data is a scene value source category, the scene value identification information is determined as the category identification information.

6. The method according to any one of claims 2 to 5, wherein: The method further comprises: In response to determining that the scene value identification information represents that the data source category corresponding to the target input data is not the scene value source category, the information representing that the data source category corresponding to the target input data is the target source category is determined as category identification information, and the target input data is processed for data detail completion using a related technology stack completion method to generate completed data.

7. The method according to claim 1, wherein: The target input dataset is generated by the following steps: Obtaining an initial reporting data set for the target applet; Data preprocessing is performed on each of the initial reported data sets to obtain a preprocessed reported data set as the target input data set.

8. An information display device, comprising: An acquisition unit, configured to acquire a target input data set for a target applet; A first generating unit is configured to use a data source category identification method set to perform data source identification on each target input data in the target input data set to generate category identification information and obtain a category identification information set, wherein the data source identification method in the data source category identification method set is an identification method for performing source identification on a corresponding category dimension; A second generating unit is configured to generate data source aggregation information for the target input data set according to the category identification information set; The display unit is configured to display the data source aggregated information.

9. An electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 7.

10. A computer readable medium having a computer program stored thereon, wherein: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

11. A computer program product, comprising a computer program, which, when executed by a processor, implements the method according to any one of claims 1 to 7.

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