WO2019061376A1 - Method for evaluating internet behavior and network terminal - Google Patents

Abstract

Disclosed are a method for evaluating an Internet behavior and a network terminal. The method for evaluating an Internet behavior comprises: obtaining a behavior of a current user on the Internet; and evaluating the behavior of the current user on the Internet according to predetermined behavior standard data. By means of the method, the present invention can evaluate the behavior of a user on the Internet with morality, so as to facilitate the behavior monitoring and restriction of the user on the Internet, thereby purifying the network and achieving a healthy and moral network environment.

Description

Method for evaluating internet behavior and network terminal

[Technical Field]

The present invention relates to the field of computer technologies, and in particular, to a method for evaluating Internet behavior and a network terminal.

 【Background technique】

The network is a virtual platform for information transmission, reception, and sharing. It connects various points, surfaces, and body information to achieve the sharing of these resources. The Internet is the most important invention in the history of human development, which has improved the development of science and technology and human society.

Users connect to the network through network terminals, and can receive and disseminate information, also known as "online." With the development of computer and network technologies, users can now socialize, entertain, trade, work, etc. through the Internet.

 [Summary of the Invention]

The technical problem to be solved by the present invention is to provide an Internet behavior evaluation method and a network terminal, which can use the pre-defined behavior standard data to evaluate the behavior of the user in the Internet, so as to monitor and restrict the behavior of the user in the Internet. It is conducive to purifying the network and achieving a healthy and ethical network environment.

In order to solve the above technical problem, a technical solution adopted by the present invention is to provide an evaluation method for Internet behavior, which includes: obtaining current user behavior in the Internet; and Users evaluate their behavior on the Internet.

In order to solve the above technical problem, another technical solution adopted by the present invention is to provide a computer readable storage medium for storing a computer program, when executed by a processor, to implement an evaluation of Internet behavior as described above. method.

In order to solve the above technical problem, another technical solution adopted by the present invention is to provide a network terminal, which includes an input device, an output device, a memory, and a processor, where the memory stores pre-defined behavior standard data, and the processor uses Execution: Get the current user's behavior on the Internet; evaluate the current user's behavior on the Internet based on pre-defined behavioral criteria data.

The beneficial effects of the present invention are: different from the prior art, the method for evaluating the behavior of the Internet provided by the present invention includes: obtaining the behavior of the current user in the Internet; and the behavior of the current user in the Internet according to the pre-established behavior standard data. Conduct an evaluation. Through the above manner, the behavior of the user in the Internet can be evaluated by using the pre-established behavior standard data, so as to monitor and restrict the behavior of the user on the Internet, which is beneficial to purifying the network and realizing a healthy and ethical network environment.

 [Description of the Drawings]

1 is a schematic flow chart of an embodiment of an Internet behavior evaluation method provided by the present invention;

2 is a schematic flow chart of another embodiment of an evaluation method of Internet behavior provided by the present invention;

3 is a schematic flow chart of still another embodiment of an evaluation method of Internet behavior provided by the present invention;

4 is a schematic flow chart of still another embodiment of an evaluation method of Internet behavior provided by the present invention;

FIG. 5 is a schematic structural diagram of an embodiment of a network terminal according to the present invention; FIG.

FIG. 6 is a schematic structural diagram of an embodiment of a network system provided by the present invention.

【Detailed ways】

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

The terms "first", "second", "third", "fourth", etc. (if present) in the specification and claims of the present invention and the above figures are used to distinguish similar objects without being used for Describe a specific order or order. It is to be understood that the data so used may be interchanged as appropriate, such that the embodiments of the invention described herein can be implemented, for example, in a sequence other than those illustrated or described herein. In addition, the terms "comprises" and "comprises" and "the" and "the" are intended to cover a non-exclusive inclusion, for example, a process, method, system, product, or device that comprises a series of steps or units is not necessarily limited to Those steps or units may include other steps or units not explicitly listed or inherent to such processes, methods, products or devices.

Referring to FIG. 1 , FIG. 1 is a schematic flowchart of an embodiment of an Internet behavior evaluation method provided by the present invention, where the method includes:

Step 11: Obtain the behavior of the current user on the Internet.

The behavior of the user in the Internet may be an Internet behavior generated by the user operating the network terminal. For example, the user may log in to the account, perform speaking, forwarding, commenting, and browsing multimedia information (including videos, novels, pictures, music). Etc.), conduct shopping or virtual currency transactions, and conduct online games. Among them, the user can perform the above Internet behavior by entering the corresponding website or logging in to the corresponding application.

Optionally, obtaining the current user's behavior in the Internet may be obtained by operating or interpreting the instruction of the network terminal. For example, when browsing a microblog, a user wants to forward a certain microblog. When the user clicks the forward button with a mouse, the current behavior of the current user's forwarding microblog is obtained. For another example, when the user purchases the specified item in the shopping cart, when the payment is made, the confirmation button is clicked to obtain the Internet behavior of the current user's online shopping.

Step 12: Evaluate the behavior of the current user on the Internet according to the pre-established behavior standard data to obtain the evaluation result.

Among them, the behavioral standard data may be formulated in advance according to the corresponding laws and regulations, behavioral norms, classical masterpieces, famous sayings, etc., for example, according to Confucianism, interpretation, Taoism, medicine, Wu, music, customs, science, business, etc. Classical masterpieces are used to develop behavioral standard data and to classify behavioral criteria data.

Optionally, in an embodiment, the pre-defined behavior standard data is read-only data stored in the memory, and is unchangeable; of course, in other embodiments, the behavioral standard data may also be based on network development. And the progress of civilization is changed.

The behavioral standard data is customized by the basic information of the current user, wherein the basic information includes at least one or a combination of occupation, age, income, and marital status.

For example, different users can apply to different behavioral criteria data. For example, if user A is a middle school student and is under the age of 18, the behavior standard data applicable to user A needs to prohibit user A from browsing unhealthy web pages, and restricts user A's online time and game time; user B has lower income. The behavior standard data applicable to User B needs to prohibit User B from making high consumption or purchasing luxury goods on the shopping website.

There are several ways to evaluate a user's behavior on the Internet. The following two examples are used:

In the first approach, both positive and negative evaluations can be made based on whether or not the pre-established behavioral criteria data are met. For example, a minor who logs into an unhealthy webpage does not meet the behavioral standard data pre-established for minors, and performs a negative evaluation. The student logs into the learning webpage and meets the pre-established behavioral standard data for the student to make a positive evaluation.

In another way, it is also possible to score according to the degree of compliance with the pre-established behavioral criteria data, taking the 10-point system as an example, and giving the user a 10-point rating when the user fully complies with the pre-established behavioral criteria data. When the user does not meet the pre-established behavioral standard data, he or she is given a score of 0, and any one of the scores of 1-9 can be given according to the degree of compliance. Optionally, the user's Internet behavior score can be averaged to obtain the user's online comprehensive score.

Different from the prior art, the method for evaluating the behavior of the Internet provided by the embodiment includes: obtaining the behavior of the current user in the Internet; and evaluating the behavior of the current user on the Internet according to the pre-established behavior standard data to obtain the evaluation result. Through the above manner, the behavior of the user in the Internet can be evaluated by using the pre-established behavior standard data, so as to monitor and restrict the behavior of the user on the Internet, which is beneficial to purifying the network and realizing a healthy and ethical network environment.

Referring to FIG. 2, FIG. 2 is a schematic flowchart diagram of another embodiment of an evaluation method of Internet behavior provided by the present invention, where the method includes:

Step 21: Develop behavioral criteria data and collect behavioral samples that meet the behavioral criteria data.

Among them, the behavior sample that satisfies the behavioral standard data refers to the Internet behavior that satisfies the data of the specific behavior standard. For example, the behaviors consistent with the standard data of “patriotic law-abiding” behaviors may include reporting illegal Internet behaviors, posting posts on patriotic law-abiding, etc.; texts that meet the standard data of “diligence and housekeeping” behaviors may be compared to three when shopping, and the price is selected. Cheaper items, etc.

Optionally, in an embodiment, step 21 may be specifically: determining a user sample that satisfies behavior standard data, and monitoring an Internet behavior of the user sample to obtain a behavior sample.

For example, if user A meets certain behavior standard data, user A's Internet behavior is monitored, and user A's Internet behavior is taken as a behavioral sample. Of course, you can also select a large number of users who meet the data of the behavioral standard, monitor the behavior of all users, and use all users' behaviors on the Internet as a behavioral sample, or use the same/similar Internet behavior of all users as a behavioral sample. .

Optionally, in another embodiment, step 21 may specifically include: collecting hot topics in the network, and obtaining public evaluation or official interpretation; extracting behavior standard data from public evaluation or official interpretation, and extracting from hot topics Behavioral sample.

For example, there has been a hot topic in the network about "Internet game anti-addiction", in which the types and time of online games for minors are discussed. In this embodiment, it is possible to collect opinions and suggestions from netizens or officials on "Internet game anti-addiction", and then obtain sample behavior from the discussion of the hot topic.

For example, if in the public discussion, most netizens or officials believe that the game time of the 12-16 year olds should not exceed 1 hour per day, then the Internet behavior of the game time less than 1 hour is taken as 12-16. Older users meet the sample behavior of behavioral standard data.

Step 22: Perform feature extraction on the behavior sample and train the behavior classifier.

Step 23: Obtain the behavior of the current user on the Internet.

Step 24: Feature extraction of the behavior of the current user on the Internet, and classifying by using the behavior classifier to obtain behavior standard data that is satisfied by the user.

The characteristics of Internet behavior can be determined by specific Internet behavior. In the example of the above network game, its features may include game type, game time, game consumption, and the like. Taking online shopping as an example, the features may include the type of the product, the price of the product, the sales volume of the product, and the like.

The above embodiment will be described below with a specific example:

In step 21 and step 22, feature extraction and classification of the behavior standard data of “diligence and housekeeping” are performed, and the obtained features include: the number of purchases is less than the set number of times, the unit price of the purchased product is less than the set price, and the total amount of goods purchased in one month. The price is less than the set price, and the return of the unsatisfactory product is refunded.

Then, in step 23, the Internet behavior of the user A is obtained. In step 24, the user behavior of the user A is extracted, and the characteristics of the Internet behavior of the user A are compared with the characteristics of the above-mentioned "hardworking" to determine the user A. Whether it meets the behavioral standard data of “diligence and housekeeping”.

Referring to FIG. 3, FIG. 3 is a schematic flowchart diagram of still another embodiment of an evaluation method of Internet behavior provided by the present invention, where the method includes:

Step 31: Assign the current user a uniquely identifiable account.

Step 32: Obtain the behavior of the current user on the Internet.

Step 33: Evaluate the behavior of the current user on the Internet according to the pre-established behavior standard data to obtain the evaluation result.

The behavioral standard data is customized by the current user's basic information, wherein the basic information includes at least one or a combination of occupation, age, income, and marital status.

Step 34: Associate the current user's behavior and evaluation results on the Internet with a uniquely identifiable account.

Optionally, in step 33, the current Internet behavior of the current user may be evaluated in conjunction with historical Internet behavior and/or historical evaluation results associated with the unique identifiable account.

For example, User A is a minor. On one day, User A's online game time is 3 hours (the time of the behavior standard data is assumed to be within 1 hour), and the behavioral standard data is not met, and the negative evaluation is given; the next day User A's online game time is 2 hours. Although it still does not meet the behavioral standard data, user A has improved compared to historical Internet behavior. Therefore, when evaluating user A's Internet behavior, the progress factor can be considered. For example, a positive evaluation can be given.

Optionally, in an embodiment, the method may further include the step of: increasing or decreasing the points associated with the unique identification account according to the evaluation result, the points are set to be visible to other users, and at least associated with Internet rights.

For example, the initial state of each user's points is 100 points. In the evaluation, if the evaluation is a positive evaluation, the points are added (up to 100 points). If the evaluation is negative, the points are reduced. The degree of the points can be reduced according to the user. The degree of matching between behavior and behavioral standard data in the Internet is determined. When the user's credit is reduced to the first set value (for example, 60 minutes), the user's behavior in the Internet is restricted, and when the user's credit is reduced to the second set value (for example, 0), the user is prohibited. Go online.

Referring to FIG. 4, FIG. 4 is a schematic flowchart diagram of still another embodiment of an Internet behavior evaluation method provided by the present invention, where the method includes:

Step 41: Obtain the behavior of the current user on the Internet.

Step 42: Obtain evaluations of other users' behaviors on the Internet by the current user.

Among them, other users can be friends of the current user or strange netizens. For example, if user A posts a microblog, and his or her friends or strangers can forward, comment, and like the microblogs they post, they can consider the number of forwarding and likes and the content of the comments to the user A's Internet. Behavior is evaluated.

Step 43: The evaluation result is formed based on the evaluations of other users.

Optionally, in an embodiment, step 43 may specifically include: assigning different weights to evaluations of other users according to the closeness of the current user and other users; and weighting and summarizing the evaluations of other users according to the weights to form an evaluation. As a result, for the positive evaluation, the closer the current user is to other users, the lower the weight. For the negative evaluation, the closer the current user is to other users, the higher the weight.

For example, a microblog published by user A has a total of 100 comments. In principle, the weight of each comment should be 1%. If there is a positive comment given by the friend of user A, the weight of the comment should be reduced, that is, less than 1%; if there is a negative comment given by the friend of user A, the weight of the comment should be increased, that is, greater than 1% .

The present invention also provides a computer readable storage medium for storing a computer program executed by a processor to implement an evaluation method of Internet behavior provided in the above embodiments. It can be understood that the computer program stored in the readable storage medium in this embodiment is similar to the method for evaluating the Internet behavior provided by the foregoing embodiment, and the principles and steps are the same, and details are not described herein again.

The storage medium includes: a U disk, a mobile hard disk, and a read only memory (ROM, Read-Only) Memory, random access memory (RAM), disk or optical disk, and other media that can store program code.

Referring to FIG. 5, FIG. 5 is a schematic structural diagram of an embodiment of a network terminal provided by the present invention. The network terminal 50 includes an input device 51, an output device 52, a memory 53, and a processor 54.

Among them, the memory 53 stores predetermined behavior standard data.

Optionally, the behavioral standard data is customized by the current user's basic information, wherein the basic information includes at least one or a combination of occupation, age, income, and marital status.

The processor 54 is configured to: obtain the behavior of the current user in the Internet; and evaluate the behavior of the current user in the Internet according to the pre-established behavior standard data to obtain an evaluation result.

Optionally, in another embodiment, the processor 54 is further configured to: generate behavior standard data, and collect behavior samples that satisfy behavior standard data; perform feature extraction on the behavior sample, and train the behavior classifier; Feature extraction in the Internet, and classification using behavior classifiers to obtain the behavioral standard data that it satisfies.

Optionally, in another embodiment, the processor 54 is further configured to: determine a user sample that satisfies the behavior criterion data, and monitor an Internet behavior of the user sample to obtain a behavior sample.

Optionally, in another embodiment, the processor 54 is further configured to: collect hot topics in the network, and obtain public evaluation or official interpretation; extract behavior standard data from public evaluation or official interpretation, and discuss from the hot Topic extraction behavior sample.

Optionally, in another embodiment, the processor 54 is further configured to: assign a unique identifiable account to the current user; associate the behavior and evaluation result of the current user in the Internet with the unique identifiable account.

Optionally, in another embodiment, the processor 54 is further configured to: perform an evaluation of the current Internet behavior of the current user in conjunction with historical Internet behavior and/or historical evaluation results associated with the unique identifiable account.

Optionally, in another embodiment, the processor 54 is further configured to: increase or decrease the points associated with the unique identification account according to the evaluation result, the integral settings are visible to other users, and at least associated with the Internet rights.

Optionally, in another embodiment, the processor 54 is specifically configured to: obtain an evaluation of other users' behaviors on the Internet by the current user; and form an evaluation result according to the evaluations of other users.

Optionally, in another embodiment, the processor 54 is specifically configured to perform: assigning different weights to evaluations of other users according to the closeness of the current user with other users; and weighting and summarizing the evaluations of other users according to the weights, To form an evaluation result, wherein for the positive evaluation, the closer the current user is to other users, the lower the weight, and for the negative evaluation, the closer the current user is to other users, the higher the weight.

It can be understood that the network terminal 50 provided by the implementation may be a user terminal, such as a computer, a mobile phone, a smart wearable device, or the like, or a server, a base station, or the like, for remotely evaluating the behavior of the user on the Internet. .

The network terminal provided by this embodiment is a device based on the method for evaluating the behavior of the Internet according to the foregoing embodiment, and the implementation principle and steps are similar, and details are not described herein again.

Referring to FIG. 6, FIG. 6 is a schematic structural diagram of an embodiment of a network system according to the present invention. The network system includes a network terminal 61 and a server 62.

The network terminal 61 is configured to obtain the behavior of the current user in the Internet, and send the Internet behavior to the server, where the server 62 is configured to evaluate the current user's behavior in the Internet according to the pre-defined behavior standard data to obtain an evaluation. result.

Different from the above embodiment, the behavior of the user in the Internet is evaluated by the server 62 in this embodiment.

It can be understood that the method for evaluating the server 62 in this embodiment can refer to the network terminal in the foregoing embodiment, and its structure and working principle are similar, and details are not described herein again.

In the several embodiments provided by the present invention, it should be understood that the disclosed method and apparatus may be implemented in other manners. For example, the device implementations described above are merely illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be used. Combinations can be integrated into another system, or some features can be ignored or not executed.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

The above is only the embodiment of the present invention, and is not intended to limit the scope of the invention, and the equivalent structure or equivalent process transformations made by the description of the invention and the drawings are directly or indirectly applied to other related technologies. The fields are all included in the scope of patent protection of the present invention.

Claims (20)

1. A method for evaluating Internet behavior, characterized in that the method comprises:

   Get the behavior of the current user on the Internet;

   The current user's behavior in the Internet is evaluated based on pre-established behavioral criteria data to obtain an evaluation result.
2. The method of claim 1, further comprising: before the step of obtaining the behavior of the current user in the Internet:

   Develop behavioral criteria data and collect behavioral samples that meet the behavioral criteria data;

   Performing feature extraction on the behavior sample and training the behavior classifier;

   The step of evaluating the current user's behavior in the Internet according to the pre-established behavior standard data to obtain the evaluation result further includes:

   Feature extraction of the behavior of the current user in the Internet, and classification by the behavior classifier to obtain behavior standard data that is satisfied by the behavior.
3. The method of claim 2, wherein the step of formulating behavioral criteria data and collecting behavioral samples that satisfy the behavioral criteria data further comprises:

   Determining a user sample that satisfies the behavioral criteria data, and monitoring behavior of the user sample in the Internet to obtain the behavioral sample.
4. The method of claim 2, wherein the step of formulating behavioral criteria data and collecting behavioral samples that satisfy the behavioral criteria data further comprises:

   Collect hot topics on the Internet and get public comments or official interpretations;

   The behavioral criteria data is extracted from the public opinion or official interpretation, and the behavioral sample is extracted from the hot topic.
5. The method of claim 1, further comprising: before the step of obtaining the behavior of the current user in the Internet:

   Assigning the current user a unique identifiable account;

   The step of evaluating the current user's behavior in the Internet according to the pre-established behavior standard data further includes:

   The behavior of the current user in the Internet and the evaluation result are associated with the uniquely identifiable account.
6. The method according to claim 5, wherein the step of obtaining the behavior of the current user in the Internet further comprises:

   The current Internet behavior of the current user is evaluated in conjunction with historical Internet behavior and/or historical evaluation results associated with the uniquely identifiable account.
7. The method of claim 5, wherein the method further comprises:

   The points associated with the unique identification account are incremented or decremented based on the evaluation results, the points being set to be visible to other users and associated with at least Internet rights.
8. The method according to claim 1, wherein said behavior criterion data is customized by said current user's basic information, wherein said basic information includes at least one of occupation, age, income, and marital status or combination.
9. The method according to claim 1, wherein the step of evaluating the behavior of the current user in the Internet according to the pre-established behavior criterion data to obtain an evaluation result comprises:

   Obtaining other users' evaluations of the behavior of the current user on the Internet;

   The evaluation result is formed based on the evaluation of the other users.
10. The method according to claim 9, wherein said step of forming said evaluation based on said evaluation of said other user to obtain an evaluation result comprises:

    Assigning different weights to the evaluations of the other users according to the closeness of the current user with the other users;

    And weighting the evaluations of the other users according to the weights to form the evaluation result, wherein for the positive evaluation, the closer the current user is to the other users, the lower the weight, and the negative It is evaluated that the higher the closer the current user is to the other users, the higher the weight.
11. A computer readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the method for evaluating Internet behavior according to any one of claims 1-10.
12. A network terminal, comprising: an input device, an output device, a memory, and a processor, wherein the memory stores pre-defined behavior standard data, and the processor is configured to execute:

    Get the behavior of the current user on the Internet;

    The current user's behavior in the Internet is evaluated based on pre-established behavioral criteria data to obtain an evaluation result.
13. The network terminal according to claim 12, wherein the processor is further configured to:

    Develop behavioral criteria data and collect behavioral samples that meet the behavioral criteria data;

    Performing feature extraction on the behavior sample and training the behavior classifier;

    Feature extraction of the behavior of the current user in the Internet, and classification by the behavior classifier to obtain behavior standard data that is satisfied by the behavior.
14. The network terminal according to claim 13, wherein the processor is further configured to:

    Determining a user sample that satisfies the behavior criterion data, and monitoring an internet behavior of the user sample to obtain the behavior sample.
15. The network terminal according to claim 13, wherein the processor is further configured to:

    Collect hot topics in the network and get public comments or official interpretations;

    The behavioral criteria data is extracted from the public opinion or official interpretation, and the behavioral sample is extracted from the hot topic.
16. The network terminal according to claim 12, wherein the processor is further configured to:

    Assigning the current user a unique identifiable account;

    The behavior of the current user in the Internet and the evaluation result are associated with the uniquely identifiable account.
17. The network terminal according to claim 16, wherein the processor is further configured to:

    The current Internet behavior of the current user is evaluated in conjunction with historical Internet behavior and/or historical evaluation results associated with the uniquely identifiable account.
18. The network terminal according to claim 16, wherein the processor is further configured to:

    The points associated with the unique identification account are incremented or decremented based on the evaluation results, the points being set to be visible to other users and associated with at least Internet rights.
19. The network terminal according to claim 12, wherein the processor is specifically configured to perform:

    Obtaining other users' evaluations of the behavior of the current user on the Internet;

    The evaluation result is formed based on the evaluation of the other users.
20. The network terminal according to claim 19, wherein the processor is specifically configured to:

    Assigning different weights to the evaluations of the other users according to the closeness of the current user with the other users;

    And weighting the evaluations of the other users according to the weights to form the evaluation result, wherein for the positive evaluation, the closer the current user is to the other users, the lower the weight, and the negative It is evaluated that the higher the closer the current user is to the other users, the higher the weight.