CN113542880B - Method and device for detecting quality of short video service - Google Patents
Method and device for detecting quality of short video service Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44227—Monitoring of local network, e.g. connection or bandwidth variations; Detecting new devices in the local network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/81—Monomedia components thereof
- H04N21/8166—Monomedia components thereof involving executable data, e.g. software
- H04N21/8173—End-user applications, e.g. Web browser, game
Abstract
The invention discloses a method and a device for detecting the quality of short video service, wherein the method comprises the following steps: acquiring collected user internet log data generated in the process that a user accesses a short video sharing platform; performing characteristic analysis on the user internet log data to determine an operation behavior corresponding to the user internet log data; and determining a target quality index according to the operation behavior, and detecting the service quality of the short video service accessed by the user by using the target quality index. According to the method and the device, different operation behaviors of the user are determined by collecting and analyzing user internet log data generated in the process that the user accesses the short video sharing platform, the service quality of the user accessing the short video service is detected based on the operation behaviors, internet sensing of the short video sharing platform user is guaranteed, network quality guarantee benefits are improved, and therefore the technical problem that flow monitoring and quality analysis cannot be carried out on the short video sharing platform from the user behavior level in the prior art is solved.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a method and a device for detecting the quality of a short video service.
Background
With the continuous development of internet video services, in recent years, a plurality of short video sharing platforms which are sought after by people, such as jittering, volcano, fast-handed and the like, are generated, and are deeply favored by video users, and the traffic of the short video sharing platforms also occupies a relatively important part of the internet video services. The existing main service identification modes include two types, one is a size service identification mode based on Deep Packet Inspection (DPI), and the other is a domain name matching identification mode based on an ICP (Internet Content Provider) repository.
The first method is as follows: and the DPI large and small business identification model reads and identifies the IP packet load information in a quasi-real-time manner through DPI hardware, can print business labels on the dialog list records in a short time, and can ensure the timeliness of the user business model measurement and calculation. The coverage rate of the DPI of the current network reaches 50 percent, and the mode becomes an important means for identifying the service of each large operator.
The second method comprises the following steps: and (3) matching and identifying a model based on the domain name-ICP resource library, namely acquiring an ICP domain name by dialing a measuring and packet capturing mode, and accumulating the domain name-ICP resource library in a corresponding relation form of the domain name and the ICP by manually accessing a website for confirmation and the like. And identifying the ICP to which the user accesses the resources by matching the Host information recorded in the XDR ticket with the records in the ICP resource library. With the popularization of the XDR ticket storage and processing technology, operators have stronger and stronger data sensitivity and higher requirements on service identification precision. The domain name-ICP repository matching technology can perform service identification with a finer dimension for HTTP protocol services.
However, in the above two service identification manners, traffic monitoring and quality analysis have not been performed on the short video sharing platform from the user behavior level, which has a certain influence on forming a user portrait and understanding the real internet surfing perception in the operation process of different behaviors of the user. Therefore, how to identify the operation behavior of the user on each short video sharing platform from the perspective of the user is a problem to be solved urgently at present.
Disclosure of Invention
In view of the above problems, the present invention has been made to provide a short video quality of service detection method and apparatus that overcomes or at least partially solves the above problems.
According to an aspect of the present invention, a method for detecting quality of short video service is provided, which includes the following steps:
acquiring collected user internet log data generated in the process that a user accesses a short video sharing platform;
performing characteristic analysis on the user internet log data to determine an operation behavior corresponding to the user internet log data;
and determining a target quality index according to the operation behavior, and detecting the service quality of the short video service accessed by the user by using the target quality index.
According to another aspect of the present invention, there is provided a short video service quality detection apparatus, including:
the data acquisition module is used for acquiring the collected user internet log data generated in the process that the user accesses the short video sharing platform;
the analysis module is used for carrying out characteristic analysis on the user internet log data and determining the operation behavior corresponding to the user internet log data;
and the quality index determining module is used for determining a target quality index according to the operation behavior.
And the detection module is used for detecting the service quality of the short video service accessed by the user by using the target quality index.
According to yet another aspect of the present invention, there is provided a computing device comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the short video service quality detection method.
According to still another aspect of the present invention, a computer storage medium is provided, where at least one executable instruction is stored, and the executable instruction causes a processor to perform an operation corresponding to the short video quality of service detection method as described above.
According to the method and the device for detecting the quality of the short video service, the collected user internet log data generated in the process that the user accesses the short video sharing platform are obtained; performing characteristic analysis on the user internet log data to determine an operation behavior corresponding to the user internet log data; determining a target quality index according to the operation behavior, and detecting the service quality of the short video service accessed by the user by using the target quality index; according to the method and the device, different operation behaviors of the user are determined by collecting and analyzing user internet log data generated in the process that the user accesses the short video sharing platform, the service quality of the user accessing the short video service is detected based on the operation behaviors, internet sensing of the short video sharing platform user is guaranteed, network quality guarantee benefits are improved, and therefore the technical problem that flow monitoring and quality analysis cannot be carried out on the short video sharing platform from the user behavior level in the prior art is solved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flowchart illustrating a short video service quality detection method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram illustrating an apparatus for detecting quality of short video service according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a computing device provided by an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Example one
Fig. 1 shows a flowchart of an embodiment of a short video service quality detection method according to the present invention, and as shown in fig. 1, the method includes the following steps:
s110: and acquiring the collected user internet log data generated in the process of accessing the short video sharing platform by the user.
In this embodiment, a mode of combining a DPI large and small service identification model with a matching identification model based on a domain name-ICP resource library is adopted, and compared with the two original identification modes which are independent from each other, on one hand, the identification of the web video service with the domain name in the IP format under the condition of 302 redirection can be solved, and on the other hand, the problems of incomplete domain name-ICP resource library and high maintenance cost can be solved, so that the identification rate of the short video service is effectively improved.
Specifically, a DPI large and small service identification model is adopted, messages collected by a unified DPI probe device are transmitted to a collection server, all short video ICP flow and corresponding user Internet log data can be filtered out through a domain name-ICP resource library matching identification model, corresponding short video ICP labels are marked, and a user Internet log data (XDR) ticket meeting unified specifications is synthesized, wherein the user Internet log data comprises user access resource domain name information, URI information, uplink and downlink flow information and other data information related to quality indexes.
S120: and performing characteristic analysis on the user internet log data to determine the operation behavior corresponding to the user internet log data.
Specifically, the user operation behaviors of the short video sharing platform can be mainly classified into 3 types: and (2) short video on demand operation behavior, short video live broadcast operation behavior and short video uploading operation behavior, wherein the XDR call ticket synthesized in the step (S110) is transmitted to a large data processing platform (such as a hadoop large data processing platform) for deep analysis, the size class service identification is detected based on a DPI deep data packet, when the message passes through a DPI probe in a link layer, DPI hardware reads and identifies the IP packet load information of the message in a quasi-real time manner, a service label is marked on the message in a short time, and the service label is still kept in the XDR call ticket when the XDR server synthesizes the XDR call ticket with the message.
In an optional manner, step S120 further includes: performing feature extraction on the user internet log data to obtain a first data feature; and matching the first data characteristics with second data characteristics corresponding to each operation behavior recorded in the user behavior rule base, and determining the matched operation behavior as the operation behavior corresponding to the user internet log data. Wherein the first data characteristic may include: a first domain name feature and a first URI feature; the second data characteristic may include: a second domain name feature and a second URI feature.
In an optional manner, before performing feature extraction on user internet log data to obtain a first data feature, the method further includes:
step 1: and obtaining sample user internet log data generated in the process that a sample user accesses the short video sharing platform and executes each operation behavior.
Step 2: and for each operation behavior, performing feature extraction on the sample user internet log data corresponding to the operation behavior to obtain a second data feature corresponding to the operation behavior.
In this step, the second data feature includes: a second domain name feature and a second URI feature.
Specifically, step 2 further comprises: extracting domain name information, uniform Resource Identifier (URI) information and Transmission Control Protocol (TCP) stream information from sample user log data corresponding to the operation behavior; and extracting the characteristics of the domain name information, the URI information and the TCP stream information to obtain a second domain name characteristic and a second URI characteristic corresponding to the operation behavior.
And step 3: and correspondingly writing each operation behavior and the second data characteristics corresponding to each operation behavior into a user behavior rule base.
Specifically, for a short video on demand operation behavior, obtaining sample user internet log data generated when a sample user accesses a short video sharing platform and executes the operation behavior, for example, when the user requests a certain short video a, the user uses a wireshark tool to bale the operation, and derives all domain name information, URI information and TCP flow information related to the operation through the statistical function of the wireshark tool; then, switching to request a certain short video B, capturing packets and analyzing in the same way, and exporting all related domain name information, URI information and TCP stream information; similarly, all domain name information, URI information and TCP flow information related to a certain short video C, D, E, F, G and the like are obtained. Firstly, extracting domain names related to short video on-demand videos through induction and summarization, determining second domain name features, fuzzily searching files by means of wildcards (such as; and secondly, extracting URI information related to each short video on-demand operation behavior, determining a second URI characteristic, writing the second URI characteristic into a regular expression by means of a wildcard, and adding the written regular expression into a user behavior rule base to realize the identification of the short video on-demand operation behavior.
For example, after a user logs in a short video sharing platform, a short video on-demand operation behavior is performed, a DNS service request is initiated first, a DNS returns a resource address list detail list to the user, and an HTTP GET request is initiated to a resource side at the same time. Further, ordering a certain short video A, the client sends a request to the DNS, the request domain name is v9-dy, com, after receiving the request, the DNS server returns 10 resource server position information to the client, and the IP information examples are (111.62.246.175, 111.62.246.176, 111.62.228.62, 111.62.6.250, 111.62.95.187, 111.62.6.251, 111.62.95.189, 111.62.98.188, 111.62.228.61, 111.62.246.174). When receiving the location information of the resource server returned by the DNS, the client sends an HTTP GET request to the resource side, where the IP information is 111.62.246.175, the domain name information is v9-dy · x · com, and the URI information is HTTP:// v9-dy. 20 d40fb9a527c797/5ce79f1 b/video/m/01 bc8f63242b4856b825ab0e113d011a11621ce82000008ce3bc 146 4949/? rc = mzrwcgs 5pbDNlbTMzOjYzM0ApQHRAbzw7OzU NzYzNDw5Nzc4 pdnakxqgxqgczdsljnn 2 kubmamhv 5cTFmc2hoZGY7NEA0Y15 giyhnfz 2 nfs 1 hms 9zcy1vI28 jmdjumutls 0 tllzynaly 0uL2k6Yi9 wizpheh ejmaxfz 2 nwynxyzmyaf 4ranQ6Iy8uXg%3d, returning resource information to the user side upon receipt of a request, sequentially obtaining domain name information and URI information of dy video 3763 by the same procedure, further, writing the second domain name extracted by wildcards into a second domain name/URI/v/URI/regular video library, and writing the second name/URI information to the second video library by the same procedure. And the short video on-demand operation behavior is added to a user behavior rule base and used for identifying the short video on-demand operation behavior.
Similarly, aiming at a short video live broadcast operation behavior, entering a live broadcast square on a short video sharing platform, opening a wireshark packet grabbing tool, clicking a certain live broadcast room A, grabbing a message generated under the short video live broadcast operation behavior, analyzing the log data of the internet of a sample user, and extracting domain name information, URI (Uniform resource identifier) information and TCP (transmission control protocol) stream information related to the log data of the internet of the sample user under the short video live broadcast operation behavior; further, by switching different live broadcast rooms B, C, D and the like, domain name information, URI information and TCP stream information related to different short video live broadcast operation behaviors are obtained, the domain name information, the URI information and the TCP stream information of the different short video live broadcast operation behaviors are compared, analyzed, generalized and summarized, a second domain name characteristic and a second URI characteristic are determined, the second domain name characteristic of the short video live broadcast operation behaviors is written into a regular expression by means of wildcards and is added to a user behavior rule base, meanwhile, the second URI characteristic is also written into the regular expression and is added to the user behavior rule base, and therefore the short video live broadcast behaviors are identified.
Similarly, aiming at short video uploading operation behaviors, clicking an uploading button of a short video sharing platform through a wireshark tool to upload short videos, exporting domain name information, URI (Uniform resource identifier) information and TCP (Transmission control protocol) stream information generated in the uploading operation behaviors by utilizing the statistical function of the wireshark, then recording several short videos, uploading, exporting the domain name information, URI information and TCP stream information generated in each short video uploading operation behavior by means of wireshark software, carrying out contrastive analysis, and determining a second domain name characteristic and a second URI characteristic; and simultaneously writing a second domain name characteristic and a second URI characteristic of the short video uploading operation behavior by using a regular expression by using a wildcard, and respectively adding the domain name characteristic and the second URI characteristic to a user behavior rule base to realize the identification of the short video uploading operation behavior.
In an optional manner, after step S120, the method further includes: counting the execution times of executing each operation behavior by a user in a preset time period; and constructing the user behavior portrait of the user according to the execution times of each operation behavior.
For example, the execution times of the user operation behaviors in each operation behavior classification are marked with high, medium and low preference labels for the user, and the times of the operation behaviors are arranged from high to low according to a normal distribution, so that for example, a user with the execution times of the operation behaviors accounting for the first 20% can be defined as a user with high preference for the operation behaviors, a user with the execution times of the operation behaviors accounting for the middle 60% can be defined as a user with medium preference for the operation behaviors, a user with the low preference for the operation behaviors is positioned at the later 20% of the execution times of the operation behaviors, and the user behavior portrait of the user is constructed according to the partition rule.
S130: and determining a target quality index according to the operation behavior, and detecting the service quality of the short video service accessed by the user by using the target quality index.
In an optional manner, when the service quality of the short video service accessed by the user is determined based on different user behavior portraits, the step S130 further includes, for different user operation behaviors, paying attention to different quality indicators: if the operation behavior is a short video spot playing operation behavior, determining a downloading rate, a playing success rate, a playing failure rate, a loading time delay and/or a client time delay as a target quality index; if the operation behavior is a short video live broadcast operation behavior, determining the loading rate, the pause times and/or the pause time length as a target quality index; and if the operation behavior is a short video uploading operation behavior, determining an uploading rate, an uploading success rate and/or an uploading failure rate as a target quality index.
Furthermore, according to the user behavior portrait, the quality index condition of the operation behavior of each category, which is highly favorable for the user, is focused on, and the service quality of the short video service accessed by the highly favorable user is preferentially guaranteed.
By adopting the method provided by the embodiment, aiming at user internet log data generated in the process of accessing the short video sharing platform by a user, a short video service identification mode based on combination of a DPI (deep packet inspection) large and small service identification model and a domain name-ICP (inductively coupled plasma) resource library matching identification model is adopted, different operation behaviors of the user are determined by collecting and analyzing the user internet log data generated in the process of accessing the short video sharing platform by the user, the service quality of the user when accessing the short video service is detected based on the operation behaviors, the identification rate of the short video ICP is improved, and internet surfing perception of the user of the short video sharing platform is guaranteed; by capturing and packaging the sample user internet log data, different operation behavior characteristics of the sample user when accessing the short video sharing platform are analyzed, the preference degree of the user behavior is divided according to the normal distribution of the behavior operation times, the user with high preference behavior is preferentially guaranteed, and the network quality guarantee benefit is improved. The operation behavior of the user accessing the short video sharing platform is judged, the execution times of different operation behaviors of the user are analyzed in combination with normal distribution, the user portrait is formed, and therefore priority guarantee is conducted on the user with high preference, the quality index of the operation behavior is guaranteed when the user accesses the short video sharing platform, and the network quality guarantee benefit is improved.
Example two
Fig. 2 is a schematic structural diagram illustrating an embodiment of a short video quality of service detection apparatus according to the present invention. As shown in fig. 2, the apparatus includes: a data acquisition module 210, an analysis module 220, a quality indicator determination module 230, and a detection module 240.
The data obtaining module 210 is configured to obtain collected user internet log data generated in a process that the user accesses the short video sharing platform.
The analysis module 220 is configured to perform feature analysis on the user internet log data, and determine an operation behavior corresponding to the user internet log data.
In an alternative manner, the analysis module 220 is further configured to:
performing feature extraction on the user internet log data to obtain a first data feature;
and matching the first data characteristics with second data characteristics corresponding to each operation behavior recorded in the user behavior rule base, and determining the matched operation behavior as the operation behavior corresponding to the user internet log data.
In an optional manner, the apparatus further comprises:
the sample user data obtaining module 250 is configured to obtain sample user internet log data generated in a process that a sample user accesses the short video sharing platform and executes each operation behavior.
The sample user data feature extraction module 260 is configured to, for each operation behavior, perform feature extraction on the sample user internet log data corresponding to the operation behavior to obtain a second data feature corresponding to the operation behavior.
And the user behavior rule base building module 270 is configured to correspondingly write each operation behavior and the second data feature corresponding to each operation behavior into the user behavior rule base.
Wherein the second data characteristic comprises: a second domain name feature and a second URI feature.
The sample user data feature extraction module 260 is further configured to: extracting domain name information, URI information and TCP stream information from sample user internet log data corresponding to the operation behavior; and extracting the characteristics of the domain name information, the URI information and the TCP stream information to obtain a second domain name characteristic and a second URI characteristic corresponding to the operation behavior.
In an optional manner, the apparatus may further include:
the user behavior portrait construction module 280 is configured to count execution times of executing each operation behavior by the user within a preset time period; and constructing the user behavior portrait of the user according to the execution times of each operation behavior.
A quality indicator determining module 230, configured to determine a target quality indicator according to the operation behavior.
In an optional manner, the quality indicator determining module 230 is further configured to: if the operation behavior is a short video spot playing operation behavior, determining a downloading rate, a playing success rate, a playing failure rate, a loading time delay and/or a client time delay as a target quality index; if the operation behavior is a short video live broadcast operation behavior, determining the loading rate, the pause times and/or the pause time length as a target quality index; and if the operation behavior is a short video uploading operation behavior, determining the uploading rate, the uploading success rate and/or the uploading failure rate as the target quality index.
The detection module 240 detects the service quality of the short video service accessed by the user by using the target quality index.
By adopting the device of the embodiment, the collected user internet log data generated in the process of accessing the short video sharing platform by the user is obtained; performing characteristic analysis on the user internet log data to determine an operation behavior corresponding to the user internet log data; determining a target quality index according to the operation behavior, and detecting the service quality of the short video service accessed by the user by using the target quality index; according to the method and the device, different operation behaviors of the user are determined by collecting and analyzing user internet log data generated in the process that the user accesses the short video sharing platform, the service quality of the user accessing the short video service is detected based on the operation behaviors, internet sensing of the short video sharing platform user is guaranteed, network quality guarantee benefits are improved, and therefore the technical problem that flow monitoring quality analysis cannot be carried out on the short video sharing platform from the aspect of user behaviors in the prior art is solved.
EXAMPLE III
The embodiment of the invention provides a nonvolatile computer storage medium, wherein at least one executable instruction is stored in the computer storage medium, and the computer executable instruction can execute a short video service quality detection method in any method embodiment.
The executable instructions may be specifically configured to cause the processor to:
acquiring collected user internet log data generated in the process that a user accesses a short video sharing platform;
performing characteristic analysis on the user internet log data to determine an operation behavior corresponding to the user internet log data;
and determining a target quality index according to the operation behavior, and detecting the service quality of the short video service accessed by the user by using the target quality index.
Example four
Fig. 3 is a schematic structural diagram of an embodiment of the computing device of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the computing device.
As shown in fig. 3, the computing device may include:
a processor (processor), a Communications Interface (Communications Interface), a memory (memory), and a Communications bus.
Wherein: the processor, the communication interface, and the memory communicate with each other via a communication bus. A communication interface for communicating with network elements of other devices, such as clients or other servers. The processor is configured to execute a program, and may specifically execute relevant steps in the foregoing short video quality of service detection method embodiment.
In particular, the program may include program code comprising computer operating instructions.
The processor may be a central processing unit CPU or an Application Specific Integrated Circuit ASIC or one or more Integrated circuits configured to implement embodiments of the present invention. The server comprises one or more processors, which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And the memory is used for storing programs. The memory may comprise high-speed RAM memory, and may also include non-volatile memory, such as at least one disk memory.
The program may specifically be adapted to cause a processor to perform the following operations:
acquiring collected user internet log data generated in the process that a user accesses a short video sharing platform;
performing characteristic analysis on the user internet log data to determine an operation behavior corresponding to the user internet log data;
and determining a target quality index according to the operation behavior, and detecting the service quality of the short video service accessed by the user by using the target quality index.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
Various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.
Claims (7)
1. A method for detecting the quality of short video service is characterized by comprising the following steps:
acquiring collected user internet log data generated in the process that a user accesses a short video sharing platform;
performing characteristic analysis on the user internet log data to determine an operation behavior corresponding to the user internet log data;
determining a target quality index according to the operation behavior, and detecting the service quality of the short video service accessed by the user by using the target quality index;
wherein, the performing feature analysis on the user internet log data and determining the operation behavior corresponding to the user internet log data further comprises:
performing feature extraction on the user internet log data to obtain a first data feature;
matching the first data characteristics with second data characteristics corresponding to each operation behavior recorded in a user behavior rule base, and determining the matched operation behavior as the operation behavior corresponding to the user internet log data; wherein the first data characteristic comprises: a first domain name feature and a first URI feature; the second data characteristic comprises: a second domain name feature and a second URI feature;
the determining a target quality indicator according to the operational behavior further comprises:
if the operation behavior is a short video spot playing operation behavior, determining a downloading rate, a playing success rate, a playing failure rate, a loading time delay and/or a client time delay as the target quality index;
if the operation behavior is a short video live broadcast operation behavior, determining a loading rate, a pause time and/or a pause time length as the target quality index;
and if the operation behavior is a short video uploading operation behavior, determining an uploading rate, an uploading success rate and/or an uploading failure rate as the target quality index.
2. The method of claim 1, wherein before the performing the feature extraction on the user blog data to obtain the first data feature, the method further comprises:
obtaining sample user internet log data generated in the process that a sample user accesses the short video sharing platform and executes each operation behavior;
for each operation behavior, performing feature extraction on the sample user internet log data corresponding to the operation behavior to obtain a second data feature corresponding to the operation behavior;
and correspondingly writing each operation behavior and the second data characteristics corresponding to each operation behavior into the user behavior rule base.
3. The method according to claim 2, wherein for each operation behavior, performing feature extraction on the sample user online log data corresponding to the operation behavior to obtain a second data feature corresponding to the operation behavior further comprises:
extracting domain name information, URI information and TCP stream information from sample user internet log data corresponding to the operation behavior;
and extracting the characteristics of the domain name information, the URI information and the TCP stream information to obtain a second domain name characteristic and a second URI characteristic corresponding to the operation behavior.
4. The method according to any one of claims 1 to 3, wherein after the performing the feature analysis on the user internet log data and determining the operation behavior corresponding to the user internet log data, the method further comprises:
counting the execution times of the user executing each operation behavior within a preset time period;
and constructing the user behavior portrait of the user according to the execution times of each operation behavior.
5. An apparatus for short video quality of service detection, comprising:
the data acquisition module is used for acquiring the collected user internet log data generated in the process that the user accesses the short video sharing platform;
the analysis module is used for carrying out characteristic analysis on the user internet log data and determining the operation behavior corresponding to the user internet log data;
the quality index determining module is used for determining a target quality index according to the operation behavior;
the detection module is used for detecting the service quality of the short video service accessed by the user by using the target quality index;
wherein the analysis module is further to:
performing feature extraction on the user internet log data to obtain a first data feature;
matching the first data characteristics with second data characteristics corresponding to each operation behavior recorded in a user behavior rule base, and determining the matched operation behavior as the operation behavior corresponding to the user internet log data; wherein the first data characteristic comprises: a first domain name feature and a first URI feature; the second data characteristic comprises: a second domain name feature and a second URI feature;
the quality indicator determination module is further to: if the operation behavior is a short video spot playing operation behavior, determining a downloading rate, a playing success rate, a playing failure rate, a loading time delay and/or a client time delay as the target quality index; if the operation behavior is a short video live broadcast operation behavior, determining a loading rate, a pause time and/or a pause time length as the target quality index; and if the operation behavior is a short video uploading operation behavior, determining an uploading rate, an uploading success rate and/or an uploading failure rate as the target quality index.
6. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation corresponding to the short video service quality detection method according to any one of claims 1-4.
7. A computer storage medium having stored thereon at least one executable instruction for causing a processor to perform operations corresponding to a short video quality of service detection method as claimed in any one of claims 1-4.
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