CN107590165B

CN107590165B - Confidence coefficient setting method, equipment and server

Info

Publication number: CN107590165B
Application number: CN201610541743.9A
Authority: CN
Inventors: 陈慧娟
Original assignee: Alibaba China Co Ltd
Current assignee: Alibaba China Co Ltd
Priority date: 2016-07-08
Filing date: 2016-07-08
Publication date: 2021-10-08
Anticipated expiration: 2036-07-08
Also published as: CN107590165A

Abstract

The invention discloses a confidence coefficient setting method, equipment and a server. The method for setting the confidence level of the source of the browser comprises the following steps: acquiring a browsing confidence level, wherein the browsing confidence level represents the credibility of a user using the browser of the source to perform browsing operation; acquiring a function confidence level, wherein the function confidence level represents the credibility of a user using a function in the browser of the source to execute a function operation; and setting the confidence of the source of the browser based on the browsing confidence and the function confidence. According to the invention, a more comprehensive way for evaluating the source of the browser can be provided.

Description

Confidence coefficient setting method, equipment and server

Technical Field

The present invention relates to a browser technology, and more particularly, to a method for setting a confidence level of a source of a browser, an apparatus for setting a confidence level of a source of a browser, and a server.

Background

In the prior art, a browser manufacturer may provide a link on its own website for a user to download browser software. The browser thus obtained may be referred to as a natural browser to those skilled in the art.

In addition, browser manufacturers may distribute browser software to multiple browser providers. The browser provider can provide links on a website of the browser provider so that a user can download browser software; alternatively, the browser provider may provide the browser software to the user via a medium such as an optical disc, a usb-disc, or the like. The multiple browser providers may be referred to herein as multiple sources or channels. The source may be identified, for example, by an identifier in the browser software.

The inventors of the present invention have recognized a need for monitoring the distribution of browsers by the plurality of browser providers. For example, by the monitoring, determining whether to provide the browser to the target user, and/or determining the effectiveness or efficiency of the browser distribution by the browser provider, and/or the like. However, the browser provider may often change its way of operation. Therefore, it is difficult to directly and statically determine the condition of estimating or determining the distribution of the browser by the plurality of browser providers. Currently, those skilled in the art mainly evaluate the condition of the browser provider distributing the browser by means of manual evaluation. This approach is not objective. Furthermore, it is difficult for a technician to track the usage of the browser of each browser provider in real time, and therefore, this approach also does not dynamically reflect the usage of the browser of each browser provider.

Therefore, it is desirable to provide a new technical solution, which is improved in view of at least one of the technical problems in the prior art.

Disclosure of Invention

It is an object of the present invention to provide a new solution for setting the confidence of the origin of a browser.

According to a first aspect of the present invention, there is provided a method for setting a confidence level of a source of a browser, comprising: acquiring a browsing confidence level, wherein the browsing confidence level represents the credibility of a user using the browser of the source to perform browsing operation; acquiring a function confidence level, wherein the function confidence level represents the credibility of a user using a function in the browser of the source to execute a function operation; and setting the confidence of the source of the browser based on the browsing confidence and the function confidence.

Alternatively, the browsing confidence and the function confidence are weighted separately to set the confidence of the source of the browser.

Alternatively, the source of the browser is identified by a marker.

Alternatively, the browsing confidence is obtained based on data of a browsing operation performed by a user using the browser of the source and data of a browsing operation performed by a user using a natural browser, and the function confidence is obtained based on data of a function operation performed by a user using the browser of the source and data of a function operation performed by a user using a natural browser.

Alternatively, the browsing confidence level includes a difference between a normal browsing confidence level and an abnormal browsing confidence level, where the normal browsing confidence level represents a confidence level when the user performs a normal browsing operation using the source browser, and the abnormal browsing confidence level represents a confidence level when the user performs an abnormal browsing operation using the source browser.

Alternatively, for each domain name, the normal browsing confidence is (PV)_LQ1/PV_LZ1+……+PV_LQX/PV_LZX) /X, wherein PV_LQ1……PV_LQXRespectively representing the per-capita page browsing volume, PV, of the user performing the normal browsing operation 1 … … X through the browser of the source_LZ1……PV_LZXRespectively indicate the per-capita page browsing volume when the user performs the normal browsing operation 1 … … X through the natural browser, and the normal browsing operation 1 … … X is the first X normal browsing operations with a higher per-capita page browsing volume.

Alternatively, for each domain name, the anomalous browsing confidence is (PV)_lq1/PV_lz1+……+PV_lqy/PV_lzy-1)/y, wherein PV_lq1……PV_lqyPVl respectively indicate the per-capita page browsing volume when the user performs the abnormal browsing operation 1 … … y through the source browser_z1……PV_lzyRespectively representing the per-person page browsing amount when the user performs the abnormal browsing operation 1 … … y through the natural browser, wherein the abnormal browsing operation 1 … … y is y browsing operations of which the per-person page browsing amount exceeds a first preset threshold value.

Alternatively, the functional confidence includes a difference between a normal functional confidence and an abnormal functional confidence, wherein the normal functional confidence represents a confidence that the user uses the function in the source browser normally, and the abnormal functional confidence represents a confidence that the user uses the function in the source browser abnormally.

Alternatively, normal functional confidence (PV)_GQ1/PV_GZ1+……+PV_GQM/PV_GZM) /M, wherein PV_GQ1……PV_GQMRespectively representing the per-person page browsing volume, PV, of the user performing normal function operation 1 … … M through the source browser_GZ1……PV_GZMRespectively indicate the per-capita page browsing volume when the user executes normal function operation 1 … … M through the natural browser, and normal function operation 1 … … M is the first M normal function operations with higher per-capita page browsing volume.

Alternatively, the confidence of abnormal function ═ PV_gq1/PV_gz1+……+PV_gqn/PV_gzn) Y, wherein PV_gq1……PV_gqnRespectively representing the per-capita page browsing volume PV when the user executes the abnormal function operation 1 … … n through the browser of the source_gz1……PV_gznRespectively represent the per-capita page browsing volume when the user performs the abnormal function operation 1 … … n through the natural browser, and the abnormal function operation 1 … … n is n function operations of which the per-capita page browsing volume is lower than a second predetermined threshold.

Alternatively, the method further comprises: receiving data related to browsing operations and functional operations; wherein the browsing confidence level and the functional confidence level are obtained based on the data.

Alternatively, the data includes page view volume.

According to a second aspect of the present invention, there is provided an apparatus for setting a confidence level of a source of a browser, comprising: acquiring browsing confidence, wherein the browsing confidence represents the credibility of a browsing operation performed by a user by using the browser of the source; means for obtaining a function confidence, wherein the function confidence represents a confidence level that a user uses a function in the browser of the source to perform a function operation; and means for setting a confidence level of a source of the browser based on the browsing confidence level and the functional confidence level.

Alternatively, the source of the browser is identified by a marker.

Alternatively, for each domain name, the anomalous browsing confidence is (PV)_lq1/PV_lz1+……+PV_lqy/PV_lzy-1)/y, wherein PV_lq1……PV_lqyRespectively representing the per-capita page browsing volume PV when the user executes the abnormal browsing operation 1 … … y through the browser of the source_lz1……PV_lzyRespectively representing the per-person page browsing amount when the user performs the abnormal browsing operation 1 … … y through the natural browser, wherein the abnormal browsing operation 1 … … y is y browsing operations of which the per-person page browsing amount exceeds a first preset threshold value.

Alternatively, normal functional confidence (PV)_GQ1/PV_GZ1+……+PV_GQM/PV_GZM) /M, wherein PV_GQ1……PV_GQMRespectively representing the man-average page browsing when the user executes the normal function operation 1 … … M through the source browserExhibition, PV_GZ1……PV_GZMRespectively indicate the per-capita page browsing volume when the user executes normal function operation 1 … … M through the natural browser, and normal function operation 1 … … M is the first M normal function operations with higher per-capita page browsing volume.

Alternatively, the apparatus further comprises: means for receiving data relating to browsing operations and function operations; wherein the browsing confidence level and the functional confidence level are obtained based on the data.

Alternatively, the data includes page view volume.

According to a third aspect of the present invention there is provided a server comprising an apparatus according to the present invention for setting a confidence level of a source of a browser.

According to a fourth aspect of the present invention, there is provided a server designed to perform the following operations: acquiring a browsing confidence level, wherein the browsing confidence level represents the credibility of a user using the browser of the source to perform browsing operation; acquiring a function confidence level, wherein the function confidence level represents the credibility of a user using a function in the browser of the source to execute a function operation; and setting the confidence of the source of the browser based on the browsing confidence and the function confidence.

According to a fifth aspect of the present invention, there is provided a server comprising a memory and a processor, wherein the memory is for storing instructions for controlling the processor to operate to perform a method according to the present invention.

According to a sixth aspect of the present invention, there is provided a server comprising: receiving means for receiving data relating to browsing operations and function operations performed by a user using a browser; the system comprises a processor, a function confidence level setting module and a display module, wherein the browser confidence level is used for acquiring a browsing confidence level, the browsing confidence level is used for indicating the credibility of a user to use the browser of the source to perform browsing operation, the function confidence level is used for indicating the credibility of the user to use the function in the browser of the source to perform function operation, and the confidence level of the source of the browser is set based on the browsing confidence level and the function confidence level.

According to one embodiment of the invention, a mode can be provided, the confidence of the source of the browser can be set based on the information about the browsing operation and the functional operation of the browser, and therefore a more comprehensive mode for evaluating the source of the browser is provided.

Other features of the present invention and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention.

FIG. 1 is a schematic flow chart diagram of a method for setting a confidence level of a source of a browser in accordance with one embodiment of the present invention.

Fig. 2 is a schematic block diagram of a server according to another embodiment of the present invention.

Fig. 3 is a schematic block diagram of a server according to another embodiment of the present invention.

FIG. 4 is a schematic diagram of a confidence setting system in accordance with an example of the invention.

FIG. 5 is a schematic diagram of an example of setting a confidence level of a source of a browser in accordance with the present invention.

Detailed Description

Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.

The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.

Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.

In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.

Various embodiments and examples according to the present invention are described below with reference to the accompanying drawings.

< method >

In one embodiment of the invention, a browser provider provides browser software to a user. And evaluating the source of the browser based on the information of the browser operation performed by the user and the information of the function operation performed by the user. Based on the method, the situation that the source of the browser distributes the browser software can be comprehensively estimated.

It should be understood by those skilled in the art that as technology develops, the browser may be a separate application, such as an IE browser, Chrome browser, etc., or may also refer to an application that integrates browser functionality, such as a micro blogging application, a wechat application, etc.

In particular, FIG. 1 is a schematic flow chart diagram of a method for setting a confidence level of a source of a browser in accordance with one embodiment of the present invention. The source is, for example, a browser provider for providing browser software. The source of the browser may be identified by a marker.

As shown in fig. 1, in step S1100, a browsing confidence is acquired. The browsing confidence degree represents the credibility of the browsing operation of the user by using the browser of the source. The browsing operation is, for example, a search operation by the user through a browser, a social operation of chatting, distributing a photograph, or the like through the browser, an advertisement operation of clicking an advertisement, or the like.

In one embodiment of the invention, the browsing confidence is obtained based on data of browsing operation performed by a user using the browser of the source and data of browsing operation performed by a user using a natural browser. In other words, the situation in which the user performs the browsing operation using the browser of the source can be determined with reference to the use situation of the browser software distributed by the browser manufacturer. In this way, the source can be assessed relatively objectively. Furthermore, in this way, the determination can be made as needed, so that the evaluation can be performed dynamically.

In one example, the browsing confidence includes a difference between a normal browsing confidence and an abnormal browsing confidence. The normal browsing confidence level represents a confidence level when the user performs a normal browsing operation using the browser of the source. The abnormal browsing confidence level represents the confidence level when the user performs the abnormal browsing operation by using the browser of the source.

For example, for each domain name, the normal browsing confidence (PV)_LQ1/PV_LZ1+……+PV_LQX/PV_LZX)/X。PV_LQ1……PV_LQXRespectively represent the per-capita page browsing volume when the user performs the normal browsing operation 1 … … X through the source browser. PV (photovoltaic)_LZ1……PV_LZXRespectively indicate the per-person page browsing amounts when the user performs the normal browsing operation 1 … … X through the natural browser. The normal browsing operation 1 … … X is the first X normal browsing operations whose average page browsing amount is high. The normal browsing operation can be set manually.

For example, for each domain name, the anomaly browsing confidence is (PV)_lq1/PV_lz1+……+PV_lqy/PV_lzy-1)/y。PV_lq1……PV_lqyRespectively represent the per-capita page browsing amount when the user performs the abnormal browsing operation 1 … … y through the source browser. PV (photovoltaic)_lz1……PV_lzyEach indicates the man-average page view amount when the user performs the abnormal view operation 1 … … y by the natural browser. The abnormal browsing operation 1 … … y is y browsing operations in which the average page browsing amount exceeds a first predetermined threshold. For example, an amount of per-person page browsing that is too high (exceeding a first predetermined threshold) may be due to some error or abnormal situation, which is undesirable for evaluation and needs to be excluded. The first predetermined threshold may be set manually.

In step S1200, a functional confidence is acquired. The functionality confidence indicates how trustworthy the user uses the functionality in the browser of the source to perform the functionality operation. The functional operation refers to, for example, a user performing a function provided by the browser itself, for example, clicking a search bar of the browser, clicking a card link provided in a home page of the browser, clicking hot recommendations provided in the browser, and the like. When a user uses a browser's functionality, this indicates that the user is interested in the browser itself. This may indicate to some extent that the browser provider provided the browser software to the appropriate target user.

In one embodiment, the functional confidence may be obtained based on data from a user performing a functional operation using the source browser and data from a user performing a functional operation using a natural browser. In other words, the use of the browser software distributed by the browser manufacturer can be used as a reference to determine the functional operation of the user using the source browser. In this way, the source can be assessed relatively objectively. Furthermore, in this way, the determination can be made as needed, so that the evaluation can be performed dynamically.

In one example, the functional confidence includes a difference between a normal functional confidence and an abnormal functional confidence. The normal function confidence represents the confidence that the user is using the function in the browser of the source normally. The abnormal function confidence level represents a confidence level when a user abnormally uses a function in the browser of the source.

For example, normal functional confidence (PV)_GQ1/PV_GZ1+……+PV_GQM/PV_GZM)/M。PV_GQ1……PV_GQMRespectively, the average page browsing amounts when the user performs the normal function operation 1 … … M through the source browser. PV (photovoltaic)_GZ1……PV_GZMRespectively, represent the per-person page view amounts when the user performs the normal functional operation 1 … … M through the natural browser. The normal function operation 1 … … M is the first M normal function operations whose average page view amount is high. The normal functional operation and the abnormal functional operation may be manually set.

For example, abnormal function confidence (PV)_gq1/PV_gz1+……+PV_gqn/PV_gzn)/y。PV_gq1……PV_gqnRespectively represent the per-capita page browsing amount when the user performs the abnormal function operation 1 … … n through the source browser. PV (photovoltaic)_gz1……PV_gznEach indicates the per-person page view amount when the user performs the abnormal function operation 1 … … n through the natural browser. The abnormal functional operation 1 … … n is n functional operations in which the average page view amount is lower than the second predetermined threshold. An amount of per-person page browsing that is too low (below a second predetermined threshold) may be due to certain errors or unusual circumstances, which are undesirable for evaluation and need to be excluded. The second predetermined threshold may be set manually.

Here, the server may acquire required data from a browser of the client. For example, data related to a browsing operation and a function operation is received, and then the browsing confidence and the function confidence are acquired based on the data. The data may include page views, such as the aforementioned average page views, and the like.

The data may be saved by a log file. The log file may be stored on the server side, or on the network (so-called "cloud"). During the saving process, it may occur that different record files have the same file name. For example, a plurality of record files for different sources are stored on a server, which have the same file name due to some kind of error. At this time, a conflict may occur in the recording files. For example, a later file may overwrite a previous file, resulting in data loss.

Further, there may also occur a case where the same recording file has different file names. This may result in too much duplicate content on the server and create a junk file that occupies the storage resources of the server.

Therefore, in one example, optionally, the hash value of the record file is used as the file name of the record file. In this way, the above-mentioned file conflicts and/or junk files can be avoided to a certain extent.

In addition, file corruption often occurs during the transmission and/or use of a file. In some cases, if a software program in the server calls for a corrupted file, it may cause the server to fail.

Thus, in another example, the file name of the record file is used to check the integrity of the record file before the record file is called to obtain the data. In this way, the generation of the above-described problem can be avoided simply by the file name.

In step S1300, a confidence level of the source of the browser is set based on the browsing confidence level and the function confidence level.

In one example, the browsing confidence and the functional confidence are weighted separately to set the confidence of the source of the browser.

In an embodiment of the present invention, the usage of a browser from a browser provider (source) is determined by obtaining information about browsing operations and functional operations. This provides a new way to evaluate the situation where the browser provider distributes the browser.

Further, in this embodiment, the use of the browser provider is estimated with reference to the use of the natural browser. This approach is more objective.

In addition, the solution of the embodiment can be applied to various browser providers (sources or channels). Data of various operations performed by a user using a browser can be acquired from a network as needed, so that the use condition of the browser provided by the browser provider can be dynamically estimated.

< apparatus >

Those skilled in the art will appreciate that in the field of electronics, the above-described methods may be embodied in articles of manufacture by software, hardware, and combinations of software and hardware. A person skilled in the art can easily generate a device for setting a confidence level of a source of a browser based on the method disclosed above, comprising: acquiring browsing confidence, wherein the browsing confidence represents the credibility of a browsing operation performed by a user by using the browser of the source; means for obtaining a function confidence, wherein the function confidence represents a confidence level that a user uses a function in the browser of the source to perform a function operation; and means for setting a confidence level of a source of the browser based on the browsing confidence level and the functional confidence level.

For example, the browsing confidence and the functional confidence are weighted to set the confidence of the source of the browser, respectively.

The source of the browser is identified, for example, by an identifier.

For example, the browsing confidence is obtained based on data of a browsing operation performed by a user using the source browser and data of a browsing operation performed by a user using a natural browser, and the function confidence is obtained based on data of a function operation performed by a user using the source browser and data of a function operation performed by a user using a natural browser.

For example, the browsing confidence includes a difference between a normal browsing confidence and an abnormal browsing confidence, where the normal browsing confidence represents a confidence that the user performs a normal browsing operation using the source browser, and the abnormal browsing confidence represents a confidence that the user performs an abnormal browsing operation using the source browser. For example,for each domain name, normal browsing confidence ═ PV_LQ1/PV_LZ1+……+PV_LQX/PV_LZX) /X, wherein PV_LQ1……PV_LQXRespectively representing the per-capita page browsing volume, PV, of the user performing the normal browsing operation 1 … … X through the browser of the source_LZ1……PV_LZXRespectively indicate the per-capita page browsing volume when the user performs the normal browsing operation 1 … … X through the natural browser, and the normal browsing operation 1 … … X is the first X normal browsing operations with a higher per-capita page browsing volume. For example, for each domain name, the anomaly browsing confidence is (PV)_lq1/PV_lz1+……+PV_lqy/PV_lzy-1)/y, wherein PV_lq1……PV_lqyRespectively representing the per-capita page browsing volume PV when the user executes the abnormal browsing operation 1 … … y through the browser of the source_lz1……PV_lzyRespectively representing the per-capita page browsing volume when the user performs the abnormal browsing operation 1 … … y through the natural browser, wherein the abnormal browsing operation 1 … … y is y browsing operations of which the per-capita page browsing volume exceeds a preset threshold value.

For example, the functional confidence level includes a difference between a normal functional confidence level and an abnormal functional confidence level, wherein the normal functional confidence level represents a confidence level when the user uses the function in the browser of the source normally, and the abnormal functional confidence level represents a confidence level when the user uses the function in the browser of the source abnormally. For example, normal functional confidence (PV)_GQ1/PV_GZ1+……+PV_GQM/PV_GZM) /M, wherein PV_GQ1……PV_GQMRespectively representing the per-person page browsing volume, PV, of the user performing normal function operation 1 … … M through the source browser_GZ1……PV_GZMRespectively indicate the per-capita page browsing volume when the user executes normal function operation 1 … … M through the natural browser, and normal function operation 1 … … M is the first M normal function operations with higher per-capita page browsing volume. For example, abnormal function confidence (PV)_gq1/PV_gz1+……+PV_gqn/PV_gzn) Y, wherein PV_gq1……PV_gqnRespectively represent user passing placesPer-capita page view volume, PV, when the source browser executes abnormal function operation 1 … … n_gz1……PV_gznRespectively represent the per-capita page browsing volume when the user performs the abnormal function operation 1 … … n through the natural browser, and the abnormal function operation 1 … … n is n function operations in which the per-capita page browsing volume exceeds a predetermined threshold.

For example, the apparatus further comprises: means for receiving data relating to browsing operations and functional operations, wherein the browsing confidence and the functional confidence are obtained based on the data. For example, the data includes page view volume.

< Server >

The device for setting the confidence level of the source of the browser described above may be a stand-alone device (e.g., located on a stand-alone rack) or may be integrated into and become part of the server. In this case, the server is used to determine the confidence level of the browser provider, and thereby evaluate the condition of the browser provider providing the browser software. Therefore, the technical scheme of the invention can be implemented in the server to be used for setting the confidence level of the source of the browser. .

Furthermore, as is well known to those skilled in the art, with the development of electronic information technology such as large scale integrated circuit technology and the trend of software hardware, it has been difficult to clearly divide the software and hardware boundaries of a computer system. Because any operation can be implemented in software, it can also be implemented by software. Execution of any of the instructions may be performed by hardware, as well as by software. Whether a hardware implementation or a software implementation is employed for a certain machine function depends on non-technical factors such as price, speed, reliability, storage capacity, change period, and the like. Accordingly, it will be apparent to those skilled in the art of electronic information technology that a more direct and clear description of one embodiment is provided by describing the various operations within the embodiment. Knowing the operations to be performed, the skilled person can directly design the desired product based on considerations of said non-technical factors. In this respect, in this embodiment, there is also provided a server designed to perform the following operations: acquiring a browsing confidence level, wherein the browsing confidence level represents the credibility of a user using the browser of the source to perform browsing operation; acquiring a function confidence level, wherein the function confidence level represents the credibility of a user using a function in the browser of the source to execute a function operation; and setting the confidence of the source of the browser based on the browsing confidence and the function confidence.

On the other hand, fig. 2 shows a schematic block diagram of a server according to another embodiment of the present invention.

As shown in fig. 2, the server 2000 may include a processor 2010, a memory 2020, an interface device 2030, a communication device 2040, a display device 2050, an input device 2060, a speaker 2070, a microphone 2080, and the like.

The processor 2010 may be, for example, a central processing unit CPU, a microprocessor MCU, or the like. The memory 2020 includes, for example, a ROM (read only memory), a RAM (random access memory), a nonvolatile memory such as a hard disk, and the like. The interface device 2030 includes, for example, a USB interface, a headphone interface, and the like.

The communication device 2040 is capable of wired or wireless communication, for example.

The display device 2050 is, for example, a liquid crystal display panel, a touch panel, or the like. The input device 2060 may include, for example, a touch screen, a keyboard, and the like. A user can input/output voice information through the speaker 2070 and the microphone 2080.

The electronic device shown in fig. 2 is merely illustrative and is in no way intended to limit the present invention, its application, or uses.

In this embodiment, the memory 2020 is configured to store instructions for controlling the processor 2010 to operate to perform the method for setting a confidence level of a source of a browser illustrated in fig. 1. It will be appreciated by those skilled in the art that although a plurality of devices are shown in fig. 2, the present invention may relate to only some of the devices therein, such as the processor 2010 and the storage device 23020. The skilled person can design the instructions according to the disclosed solution. How the instructions control the operation of the processor is well known in the art and will not be described in detail herein.

As shown in fig. 3, the server 3000 includes a receiving device 3010 and a processor 3020.

The receiving device 3010 is used to receive data related to browsing operations and function operations performed by a user using a browser.

Processor 3020 is configured to obtain a browsing confidence. The browsing confidence degree represents the credibility of the browsing operation of the user by using the browser of the source. Processor 3020 is configured to obtain a function confidence level representing a degree of trustworthiness of a user using a function in the source browser to perform a function operation. The processor 3020 is configured to set a confidence level of a source of the browser based on the browsing confidence level and the functional confidence level.

The servers shown in FIG. 3 are merely illustrative and are not intended to limit the present invention, its applications, or uses in any way.

Furthermore, it will be appreciated by those skilled in the art that as technology advances, the boundaries between dedicated servers and electronic devices such as computers, laptops, etc. become increasingly blurred. Therefore, the server described herein refers to an electronic device that functions as a server, and may be, for example, a dedicated server on a network, or a terminal device that can execute a server function, such as a personal computer, a notebook computer, or the like.

< example >

In fig. 4, server 4040 is the browser manufacturer's server. Browser provider 4050 is a source or channel for providing browser software to a user. The server 4040 may distribute the browser software to the browser provider 4050. The client

electronic devices

4020, 4030 may obtain browser software from a server 4040 and/or a browser provider 4050 via the network 4010. The browser from the server 4040 may be referred to as a natural browser. The server 4040 may assign an identifier to the browser provider 4050 to identify the browser provided to the electronic device by it.

An example of setting the confidence level of a source is described below with reference to FIG. 5. FIG. 5 is a schematic diagram of an example of setting a confidence level of a source of a browser in accordance with the present invention.

Source a may be browser provider 4050 shown in fig. 4. In order to set the confidence of the source a, data on browsing operations and functional operations, such as the per capita page browsing volume, may be acquired from the

electronic devices

4020, 4030.

As shown in fig. 5, the browsing operation is classified for each domain name. For example, browsing operations include search operations, social operations, and advertising operations. The above browsing operations are listed as examples only, and other browsing operations can occur to those skilled in the art. The browsing operation can be arbitrarily selected as a parameter for calculating the confidence level according to the requirement.

In this example, for a search operation, PV_LQ1＝10，PV _LZ120. For social operations, PV_LQ2＝70，PV _LZ2100. These two operations belong to normal operations.

For advertising operations, PV_lq1＝6，PV _lz14. Since the per-capita page view amount of the advertisement operation of the browser of the source a is larger than that of the natural browser (for example, the first predetermined threshold is set to 1.4), the advertisement operation is an abnormal operation. The first predetermined threshold may be set manually to set the respective browsing operations to normal/abnormal.

Next, the browsing confidence of source a is calculated as (10/20+70/100)/2- (6/4-1)/1 as 0.1.

As shown in fig. 5, the function operations may include a search bar function, a card operation, and a hot promotion. The search bar function is, for example, a search bar set in a browser, by which a search operation can be directly performed using a default search engine without first entering a corresponding search engine, for example, google, baidu, bin, or the like. The card operation is, for example, a default web page link card in the browser's home page. The card may be a webpage that the user has browsed recently, or a webpage recommended to the user. The user may enter the corresponding web page by clicking on the card. Popular popularization is a website recommended to a user in a browser. The topical recommendations may be displayed to the user in a location such as a function bar, title bar, etc. of the browser. The above functional operations are listed as examples only and other functional operations will occur to those skilled in the art. The functional operation can be arbitrarily selected as a parameter for calculating the confidence coefficient according to the requirement.

In this example, for the search bar function, PV_GQ1＝6，PV _GZ18. For card handling, PV_GQ1＝9，PV _GZ112. These two operations belong to normal operations.

For hot door operations, PV_gq1＝2，PV _gz14. For example, since the per-capita page view amount of the popular promotion operation of the browser of the source a is lower than that of the natural browser (for example, the second predetermined threshold is set to 0.6), the popular promotion operation is an abnormal operation. The second predetermined threshold may be set manually to set the respective functional operations to normal/abnormal.

Next, the functional confidence of source a is calculated as (6/8+9/12)/2- (2/4)/1 as 0.25.

After the browsing confidence and the function confidence of the source a are obtained, the confidence of the source a may be calculated to be 0.1 × 0.5+0.25 × 0.5 — 0.175. Here, the weight values of the browsing confidence level and the function confidence level are set to 0.5. It will be understood by those skilled in the art that the weight values may not be required (or may be all 1), and their weight values may be set to different values. For example, it can be considered that the user uses the functions of the browser itself more reflecting the user's attention to the browser itself as necessary. In this case, the weight value of the function confidence may be set larger than the weight value of the browsing confidence. By the weight value, the relationship between the browsing confidence and the function confidence can be flexibly set.

It will be appreciated by those skilled in the art that the above formula is merely the basic formula used in calculating confidence. The confidence level obtained may be transformed linearly or non-linearly on the basis of the basic formula, for example, the confidence level is multiplied by a linear or non-linear coefficient, etc. This should also be within the scope of the present invention.

Those skilled in the art should appreciate that the examples in fig. 4 and 5 are merely illustrative and not intended to limit the present invention in any way.

The present invention may include the following technical solutions.

EE1, a method for setting a confidence level of a source of a browser, comprising:

acquiring a browsing confidence level, wherein the browsing confidence level represents the credibility of a user using the browser of the source to perform browsing operation;

acquiring a function confidence level, wherein the function confidence level represents the credibility of a user using a function in the browser of the source to execute a function operation; and

setting the confidence of the source of the browser based on the browsing confidence and the function confidence.

EE2, method according to EE1, wherein the browsing confidence and the functional confidence are weighted separately to set the confidence of the origin of the browser.

EE3, method according to EE1, wherein the source of the browser is identified by an identifier.

EE4, method according to EE1, wherein the browsing confidence is obtained based on data of a user performing a browsing operation using the source browser and data of a user performing a browsing operation using a natural browser, and wherein the functional confidence is obtained based on data of a user performing a functional operation using the source browser and data of a user performing a functional operation using a natural browser.

EE5, the method according to EE1, wherein the browsing confidence comprises the difference between a normal browsing confidence and an abnormal browsing confidence, wherein the normal browsing confidence represents the confidence when the user uses the source browser to perform normal browsing operation, and the abnormal browsing confidence represents the confidence when the user uses the source browser to perform abnormal browsing operation.

EE6, method according to EE5, wherein for each domain name the normal browsing confidence is (PV)_LQ1/PV_LZ1+……+PV_LQX/PV_LZX) /X, wherein PV_LQ1……PV_LQXRespectively representing the per-capita page browsing volume, PV, of the user performing the normal browsing operation 1 … … X through the browser of the source_LZ1……PV_LZXRespectively indicate the per-capita page browsing volume when the user performs the normal browsing operation 1 … … X through the natural browser, and the normal browsing operation 1 … … X is the first X normal browsing operations with a higher per-capita page browsing volume.

EE7, method according to EE5, wherein for each domain name the anomaly browsing confidence is (PV)_lq1/PV_lz1+……+PV_lqy/PV_lzy-1)/y, wherein PV_lq1……PV_lqyRespectively representing the per-capita page browsing volume PV when the user executes the abnormal browsing operation 1 … … y through the browser of the source_lz1……PV_lzyRespectively representing the per-person page browsing amount when the user performs the abnormal browsing operation 1 … … y through the natural browser, wherein the abnormal browsing operation 1 … … y is y browsing operations of which the per-person page browsing amount exceeds a first preset threshold value.

EE8, the method according to EE1, wherein the functional confidence comprises the difference between a normal functional confidence, which represents the confidence that a user is using a function in the source's browser normally, and an abnormal functional confidence, which represents the confidence that a user is using a function in the source's browser abnormally.

EE9, method according to EE8, wherein the confidence of normal function is (PV 8)_GQ1/PV_GZ1+……+PV_GQM/PV_GZM) /M, wherein PV_GQ1……PV_GQMRespectively representing the per-person page browsing volume, PV, of the user performing normal function operation 1 … … M through the source browser_GZ1……PV_GZMRespectively represent user channelsThe per-person page browsing amount when the natural browser executes the normal function operation 1 … … M, and the normal function operation 1 … … M is the first M normal function operations with higher per-person page browsing amount.

EE10, method according to EE8, wherein the confidence of abnormal function is (PV)_gq1/PV_gz1+……+PV_gqn/PV_gzn) Y, wherein PV_gq1……PV_gqnRespectively representing the per-capita page browsing volume PV when the user executes the abnormal function operation 1 … … n through the browser of the source_gz1……PV_gznRespectively represent the per-capita page browsing volume when the user performs the abnormal function operation 1 … … n through the natural browser, and the abnormal function operation 1 … … n is n function operations of which the per-capita page browsing volume is lower than a second predetermined threshold.

EE11, the method according to EE1, further comprising:

receiving data related to browsing operations and functional operations;

wherein the browsing confidence level and the functional confidence level are obtained based on the data.

EE12, method according to EE11, wherein the data comprises page view volume.

EE13, a device for setting a confidence level of a source of a browser, comprising:

acquiring browsing confidence, wherein the browsing confidence represents the credibility of a browsing operation performed by a user by using the browser of the source;

means for obtaining a function confidence, wherein the function confidence represents a confidence level that a user uses a function in the browser of the source to perform a function operation; and

means for setting a confidence level of a source of the browser based on the browsing confidence level and the functional confidence level.

EE14, device according to EE13, wherein the browsing confidence and the functional confidence are weighted separately to set the confidence of the origin of the browser.

EE15, device according to EE13, wherein the origin of the browser is identified by an identifier.

EE16, the device according to EE13, wherein the browsing confidence is obtained based on data of a user performing a browsing operation using the source browser and data of a user performing a browsing operation using a natural browser, and wherein the functional confidence is obtained based on data of a user performing a functional operation using the source browser and data of a user performing a functional operation using a natural browser.

EE17, the device according to EE13, wherein the browsing confidence comprises the difference between a normal browsing confidence and an abnormal browsing confidence, wherein the normal browsing confidence represents the confidence when the user uses the source browser to perform normal browsing operation, and the abnormal browsing confidence represents the confidence when the user uses the source browser to perform abnormal browsing operation.

EE18, device according to EE17, wherein for each domain name the normal browsing confidence is (PV)_LQ1/PV_LZ1+……+PV_LQX/PV_LZX) /X, wherein PV_LQ1……PV_LQXRespectively representing the per-capita page browsing volume, PV, of the user performing the normal browsing operation 1 … … X through the browser of the source_LZ1……PV_LZXRespectively indicate the per-capita page browsing volume when the user performs the normal browsing operation 1 … … X through the natural browser, and the normal browsing operation 1 … … X is the first X normal browsing operations with a higher per-capita page browsing volume.

EE19, device according to EE17, wherein for each domain name the anomaly browsing confidence is (PV)_lq1/PV_lz1+……+PV_lqy/PV_lzy-1)/y, wherein PV_lq1……PV_lqyRespectively representing the per-capita page browsing volume PV when the user executes the abnormal browsing operation 1 … … y through the browser of the source_lz1……PV_lzyRespectively representing the per-person page browsing amount when the user performs the abnormal browsing operation 1 … … y through the natural browser, wherein the abnormal browsing operation 1 … … y is y browsing operations of which the per-person page browsing amount exceeds a first preset threshold value.

EE20, the device according to EE13, wherein the functional confidence comprises the difference between a normal functional confidence, which represents the confidence that a user is using a function in the source's browser normally, and an abnormal functional confidence, which represents the confidence that a user is using a function in the source's browser abnormally.

EE21, device according to EE20, wherein the confidence of normal function is (PV ═_GQ1/PV_GZ1+……+PV_GQM/PV_GZM) /M, wherein PV_GQ1……PV_GQMRespectively representing the per-person page browsing volume, PV, of the user performing normal function operation 1 … … M through the source browser_GZ1……PV_GZMRespectively indicate the per-capita page browsing volume when the user executes normal function operation 1 … … M through the natural browser, and normal function operation 1 … … M is the first M normal function operations with higher per-capita page browsing volume.

EE22, device according to EE20, wherein the confidence of abnormal function is (PV)_gq1/PV_gz1+……+PV_gqn/PV_gzn) Y, wherein PV_gq1……PV_gqnRespectively representing the per-capita page browsing volume PV when the user executes the abnormal function operation 1 … … n through the browser of the source_gz1……PV_gznRespectively represent the per-capita page browsing volume when the user performs the abnormal function operation 1 … … n through the natural browser, and the abnormal function operation 1 … … n is n function operations of which the per-capita page browsing volume is lower than a second predetermined threshold.

EE23, the device according to EE13, further comprising:

means for receiving data relating to browsing operations and function operations;

EE24, method according to EE23, wherein the data comprises page view volume.

EE25, a server comprising a device according to EE13 for setting a confidence level of a source of a browser.

EE26, a server designed to perform the following operations:

EE27, a server comprising a memory and a processor, wherein the memory is for storing instructions for controlling the processor to operate to perform the method according to EE 1.

EE28, a server comprising:

receiving means for receiving data relating to browsing operations and function operations performed by a user using a browser;

the system comprises a processor, a function confidence level setting module and a display module, wherein the browser confidence level is used for acquiring a browsing confidence level, the browsing confidence level is used for indicating the credibility of a user to use the browser of the source to perform browsing operation, the function confidence level is used for indicating the credibility of the user to use the function in the browser of the source to perform function operation, and the confidence level of the source of the browser is set based on the browsing confidence level and the function confidence level.

The present invention may be an apparatus, method and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied therewith for causing a processor to implement various aspects of the present invention.

The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.

The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.

The computer program instructions for carrying out operations of the present invention may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing an electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with state information of computer-readable program instructions, which can execute the computer-readable program instructions.

Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.

These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, by software, and by a combination of software and hardware are equivalent.

Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the invention is defined by the appended claims.

Claims

1. A method for setting a confidence level of a source of a browser, comprising:

acquiring a browsing confidence level, wherein the browsing confidence level represents the credibility of a user using the browser of the source to perform browsing operation; the browsing confidence degree comprises the difference between the normal browsing confidence degree and the abnormal browsing confidence degree; the normal browsing confidence level represents the confidence level when the user executes normal browsing operation by using the source browser, and the abnormal browsing confidence level represents the confidence level when the user executes abnormal browsing operation by using the source browser;

acquiring a function confidence level, wherein the function confidence level represents the credibility of a user using a function in the browser of the source to execute a function operation; the functional confidence coefficient comprises the difference between the normal functional confidence coefficient and the abnormal functional confidence coefficient; the confidence level of the normal function represents the confidence level when the user normally uses the function in the browser of the source, and the confidence level of the abnormal function represents the confidence level when the user abnormally uses the function in the browser of the source; and

setting a confidence level of a source of the browser based on the browsing confidence level and the functional confidence level;

wherein the browser of the source is browser software provided by the source; a natural browser is browser software that is downloaded through a link provided on the browser manufacturer's website.

2. The method of claim 1, wherein the browsing confidence and the functional confidence are weighted separately to set a confidence of a source of a browser.

3. The method of claim 1, wherein the source of the browser is identified by an identifier.

4. The method according to claim 1, wherein the browsing confidence is obtained based on data of a user performing a browsing operation using the source browser and data of a user performing a browsing operation using a natural browser, and the functional confidence is obtained based on data of a user performing a functional operation using the source browser and data of a user performing a functional operation using a natural browser.

5. The method of claim 1, wherein for each domain name, a normal browsing confidence level (PV ═ v_LQ1/PV_LZ1+……+PV_LQX/PV_LZX) /X, wherein PV_LQ1……PV_LQXRespectively representing the per-capita page browsing volume, PV, of the user performing the normal browsing operation 1 … … X through the browser of the source_LZ1……PV_LZXRespectively indicate the per-capita page browsing volume when the user performs the normal browsing operation 1 … … X through the natural browser, and the normal browsing operation 1 … … X is the first X normal browsing operations with a higher per-capita page browsing volume.

6. The method of claim 1, wherein for each domain name, an anomalous browsing confidence (PV) ═ PV_lq1/PV_lz1+……+PV_lqy/PV_lzy-1)/y, wherein PV_lq1……PV_lqyRespectively representing the per-capita page browsing volume PV when the user executes the abnormal browsing operation 1 … … y through the browser of the source_lz1……PV_lzyRespectively representing the per-person page browsing amount when the user performs the abnormal browsing operation 1 … … y through the natural browser, wherein the abnormal browsing operation 1 … … y is y browsing operations of which the per-person page browsing amount exceeds a first preset threshold value.

7. The method of claim 1, wherein the normal functional confidence level (PV)_GQ1/PV_GZ1+……+PV_GQM/PV_GZM) /M, wherein PV_GQ1……PV_GQMRespectively representing the per-person page browsing volume, PV, of the user performing normal function operation 1 … … M through the source browser_GZ1……PV_GZMRespectively indicate the per-capita page browsing volume when the user executes normal function operation 1 … … M through the natural browser, and normal function operation 1 … … M is the first M normal function operations with higher per-capita page browsing volume.

8. The method of claim 1, wherein the abnormal functional confidence level (PV)_gq1/PV_gz1+……+PV_gqn/PV_gzn) Y, wherein PV_gq1……PV_gqnRespectively representing the per-capita page browsing volume PV when the user executes the abnormal function operation 1 … … n through the browser of the source_gz1……PV_gznRespectively represent the per-capita page browsing volume when the user performs the abnormal function operation 1 … … n through the natural browser, and the abnormal function operation 1 … … n is n function operations of which the per-capita page browsing volume is lower than a second predetermined threshold.

9. The method of claim 1, further comprising:

receiving data related to browsing operations and functional operations;

10. The method of claim 9, wherein the data comprises page views.

11. An apparatus for setting a confidence level of a source of a browser, comprising:

acquiring browsing confidence, wherein the browsing confidence represents the credibility of a browsing operation performed by a user by using the browser of the source; the browsing confidence degree comprises the difference between the normal browsing confidence degree and the abnormal browsing confidence degree; the normal browsing confidence level represents the confidence level when the user executes normal browsing operation by using the source browser, and the abnormal browsing confidence level represents the confidence level when the user executes abnormal browsing operation by using the source browser;

means for obtaining a function confidence, wherein the function confidence represents a confidence level that a user uses a function in the browser of the source to perform a function operation; the functional confidence coefficient comprises the difference between the normal functional confidence coefficient and the abnormal functional confidence coefficient; the confidence level of the normal function represents the confidence level when the user normally uses the function in the browser of the source, and the confidence level of the abnormal function represents the confidence level when the user abnormally uses the function in the browser of the source; and

means for setting a confidence level of a source of the browser based on the browsing confidence level and the functional confidence level;

12. The apparatus of claim 11, wherein the browsing confidence and the functional confidence are weighted separately to set a confidence of a source of a browser.

13. The apparatus of claim 11, wherein the source of the browser is identified by a marker.

14. The apparatus according to claim 11, wherein the browsing confidence is obtained based on data of a user performing a browsing operation using the source browser and data of a user performing a browsing operation using a natural browser, and the functional confidence is obtained based on data of a user performing a functional operation using the source browser and data of a user performing a functional operation using a natural browser.

15. The apparatus of claim 11, wherein for each domain name, a normal browsing confidence (PV) ═ v_LQ1/PV_LZ1+……+PV_LQX/PV_LZX) /X, wherein PV_LQ1……PV_LQXRespectively representing the per-capita page browsing volume, PV, of the user performing the normal browsing operation 1 … … X through the browser of the source_LZ1……PV_LZXRespectively representing the per-capita page browsing volume when the user executes the normal browsing operation 1 … … X through the natural browser, wherein the normal browsing operation 1 … … X is the first X normal browsing operations with higher per-capita page browsing volumeDo this.

16. The apparatus of claim 11, wherein for each domain name, an anomalous browsing confidence (PV) ═ PV_lq1/PV_lz1+……+PV_lqy/PV_lzy-1)/y, wherein PV_lq1……PV_lqyRespectively representing the per-capita page browsing volume PV when the user executes the abnormal browsing operation 1 … … y through the browser of the source_lz1……PV_lzyRespectively representing the per-person page browsing amount when the user performs the abnormal browsing operation 1 … … y through the natural browser, wherein the abnormal browsing operation 1 … … y is y browsing operations of which the per-person page browsing amount exceeds a first preset threshold value.

17. The apparatus of claim 11, wherein the normal function confidence level (PV)_GQ1/PV_GZ1+……+PV_GQM/PV_GZM) /M, wherein PV_GQ1……PV_GQMRespectively representing the per-person page browsing volume, PV, of the user performing normal function operation 1 … … M through the source browser_GZ1……PV_GZMRespectively indicate the per-capita page browsing volume when the user executes normal function operation 1 … … M through the natural browser, and normal function operation 1 … … M is the first M normal function operations with higher per-capita page browsing volume.

18. The apparatus of claim 11, wherein the abnormal function confidence level (PV)_gq1/PV_gz1+……+PV_gqn/PV_gzn) Y, wherein PV_gq1……PV_gqnRespectively representing the per-capita page browsing volume PV when the user executes the abnormal function operation 1 … … n through the browser of the source_gz1……PV_gznRespectively represent the per-capita page browsing volume when the user performs the abnormal function operation 1 … … n through the natural browser, and the abnormal function operation 1 … … n is n function operations of which the per-capita page browsing volume is lower than a second predetermined threshold.

19. The apparatus of claim 11, further comprising:

20. The apparatus of claim 19, wherein the data comprises an amount of page views.

21. A server comprising the apparatus of claim 11 for setting a confidence level of a source of a browser.

22. A server designed to perform the following operations:

acquiring a browsing confidence coefficient, wherein the browsing confidence coefficient represents the credibility of a user using a browser of a source to perform browsing operation; the browsing confidence degree comprises the difference between the normal browsing confidence degree and the abnormal browsing confidence degree; the normal browsing confidence level represents the confidence level when the user executes normal browsing operation by using the source browser, and the abnormal browsing confidence level represents the confidence level when the user executes abnormal browsing operation by using the source browser;

23. A server comprising a memory and a processor, wherein the memory is to store instructions to control the processor to operate to perform the method of claim 1.

24. A server, comprising:

the processor is used for acquiring a browsing confidence level, wherein the browsing confidence level represents the credibility of a user using a source browser to perform browsing operation, and the browsing confidence level comprises the difference between a normal browsing confidence level and an abnormal browsing confidence level; the normal browsing confidence level represents the confidence level when the user executes normal browsing operation by using the source browser, and the abnormal browsing confidence level represents the confidence level when the user executes abnormal browsing operation by using the source browser; the function confidence level is used for acquiring a function confidence level, wherein the function confidence level represents the credibility of a user using a function in the browser of the source to execute a function operation, and the function confidence level comprises the difference between a normal function confidence level and an abnormal function confidence level; the confidence level of the normal function represents the confidence level when the user normally uses the function in the browser of the source, and the confidence level of the abnormal function represents the confidence level when the user abnormally uses the function in the browser of the source; and a confidence level for setting a source of the browser based on the browsing confidence level and the functional confidence level;