CN111127056A - User grade division method and device - Google Patents
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- 238000012216 screening Methods 0.000 claims description 4
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
Abstract
The embodiment of the invention provides a user grade division method and device, and belongs to the field of data analysis. The method comprises the following steps: calculating the viscosity of a website by a user according to the scores of the operation behaviors of the website by the user in a preset time period, wherein each operation behavior corresponds to one score; and determining a rating of the user based on the user's stickiness to the website over the predetermined period of time. After the user level is determined, the analysis of the website can be made more targeted, for example, the website can be optimized for the operation behavior of the user of a specific level.
Description
Technical Field
The invention relates to the field of data analysis, in particular to a user grade division method and device.
Background
In the related art, it has been started to collect data of a user and perform analysis on the data of the user to optimize the function of a website. However, in the related art, whether the existing functions of the website are inconvenient for the user to use is analyzed according to the use condition and the error condition of the user for the website functions, and the functions are optimized or new functions are developed based on the analysis. This analysis is actually an analysis of the website program by the user data, not the user data itself.
Disclosure of Invention
An object of the embodiments of the present invention is to provide a user ranking method and apparatus, which are used to solve or at least partially solve the above technical problems.
In order to achieve the above object, an embodiment of the present invention provides a user ranking method, where the method includes: calculating the viscosity of a website by a user according to the scores of the operation behaviors of the website by the user in a preset time period, wherein each operation behavior corresponds to one score; and determining a rating of the user based on the user's stickiness to the website over the predetermined period of time.
Optionally, the method further includes: determining classifications of the operation behaviors performed on the website by the user in the preset time period, wherein each operation behavior corresponds to one classification; and adding a classification label to the user according to the classification of the operation behavior.
Optionally, the adding a classification tag to the user according to the classification of the operation behavior includes: counting the number of the operation behaviors which are respectively executed by the user aiming at each classification of the operation behaviors; screening out the classification of the users according to a preset rule based on the counted number; and adding a classification label corresponding to the screened classification of the user for the user.
Optionally, the method further includes: when the website has a new function, recommending the new function to a user of a first selected level corresponding to the classification of the new function.
Optionally, the method further includes: issuing a website survey to users of a second selected level of said website; and receiving feedback of the second selected level of users on the website research.
Optionally, the calculating the viscosity of the user to the website includes: counting the scores of the user on each operation behavior of the website in the preset time period; and taking the result of the statistics as the viscosity of the user.
Optionally, the method further includes: and adjusting the score corresponding to any operation behavior and/or the weight corresponding to the score of any operation behavior.
Correspondingly, an embodiment of the present invention further provides a user ranking device, where the device includes: the calculation module is used for calculating the viscosity of a website by a user according to the scores of the operation behaviors of the website by the user in a preset time period, wherein each operation behavior corresponds to one score; and a grade determination module for determining the grade of the user according to the viscosity of the user to the website in the predetermined time period.
Accordingly, the present invention also provides a machine-readable storage medium, which stores instructions for causing a machine to execute the above-mentioned user rating method.
Correspondingly, the embodiment of the present invention further provides a processor, configured to run a program, where the program is used to execute the user rating method when being run.
According to the technical scheme, the score of the operation behavior executed by the user on the website is determined, the viscosity of the user on the website is calculated based on the score, and the grade of the user is determined according to the calculated viscosity. After the user level is determined, the analysis of the website can be made more targeted, for example, the website can be optimized for the operation behavior of the user of a specific level.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
FIG. 1 shows a flow diagram of a user ranking method according to an embodiment of the invention;
FIG. 2 shows a flow diagram of a user ranking method according to a further embodiment of the invention; and
fig. 3 is a block diagram illustrating a structure of a user ranking apparatus according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
Fig. 1 shows a flow diagram of a user ranking method according to an embodiment of the invention. As shown in fig. 1, an embodiment of the present invention provides a user ranking method, where the user may be a website user, an application software user, or the like, and the embodiment of the present invention mainly exemplifies a website user, where the website may be any website such as a shopping website, a video website, a live website, or the like. The method may include steps S110 to S120.
Step S110, calculating the viscosity of the website of the user according to the score of the operation behavior of the website of the user in a preset time period.
The predetermined period of time may be any period of time selected as desired, for example, may be n days before, n weeks before, n months before, etc., where n may be any positive number.
Each operation behavior may correspond to a score, and the score corresponding to each operation behavior may be stored in advance for a website, for example, the score may be stored in a form of a table. Taking the website as a shopping website as an example, the operation behavior may be browsing a commodity, joining a shopping cart, purchasing a commodity, etc., wherein a score of 1 point for browsing a commodity, 5 points for joining a shopping cart, 10 points for purchasing a commodity, etc. may be set.
When a user opens a website and executes operation on the website, the operation behaviors of the user can be recorded in real time, the score of each operation behavior can be determined in real time, and when the operation is needed, the score can be extracted. Or each operation behavior of the user can be recorded when the user performs the operation on the website, and the score of each operation behavior is determined according to the previously recorded operation behavior when the score is needed to be used.
The score of each operation behavior of the user in the preset time period can be mathematically operated to obtain the viscosity of the user to the website. Here, the obtained viscosity of the user to the website is equivalent to the viscosity of the user to the website in a predetermined time period, that is, the obtained viscosity has a time attribute, and the viscosity of the user to the website may be different in different time periods.
In step S120, a rating of the user is determined according to the user' S viscosity to the website in the predetermined time period.
Different viscosity ranges may correspond to different grades, with higher viscosities also yielding higher grades. For example, the rating may be embodied by a star rating, such as a five-star rating, a four-star rating, a three-star rating, a two-star rating, etc., wherein the more stars the higher the rating. The correspondence between the viscosity range and the grade may be appropriately set as needed, and the correspondence between the viscosity range and the grade may also be changed at different time periods.
With the above-described embodiment, the score of each operation action performed by the user on the website is determined, the viscosity of the user on the website is calculated based on the score, and the rank of the user is determined according to the calculated viscosity. After the user level is determined, the analysis of the website can be made more targeted, for example, the website can be optimized for the operation behavior of the user of a specific level.
In an alternative embodiment, when performing the viscosity calculation, the score of each operation behavior of the website by the user in a predetermined time period may be counted, and the statistical result is taken as the viscosity of the website by the user in the predetermined time period. The statistics may be an accumulation calculation, an average calculation, or any suitable mathematical operation, such as a weighted calculation, performed on the scores of each operation behavior of the user.
For example, taking the predetermined period of time as one month as an example, if the cumulative sum of the scores of each operation behavior of the website by the user in the one month is 500 points, the 500 points may be regarded as the viscosity of the website by the user in the one month, and if the cumulative sum of the scores of each operation behavior of the website by the user in the one month is 1000 points, the 1000 points may be regarded as the viscosity of the website by the user in the one month. For example, an average value of the scores of each operation behavior by the user in a predetermined time period may be calculated and used as the viscosity of the user to the website in the predetermined time period, or the scores of each operation behavior by the user in the predetermined time period may be weighted and summed, and the result of the weighted summation may be used as the viscosity of the user to the website in the predetermined time period, where the weight corresponding to the score of each operation behavior may be set to any suitable value as required.
Optionally, the score corresponding to each operation behavior may be initially set as a default value, and in the website operation process, an operator may adjust the score corresponding to each operation behavior as needed, and/or may adjust the weight corresponding to the score of each operation behavior, so that the user classes are divided more reasonably.
Fig. 2 is a flowchart illustrating a user rating method according to still another embodiment of the present invention. As shown in fig. 2, based on any of the above embodiments, the user ranking method provided in the embodiment of the present invention may further include step S210 and step S220.
Step S210, determining the classification of the operation behaviors performed on the website by the user in the preset time period.
Each operation behavior may correspond to a category, and the category corresponding to each operation behavior may be stored in advance for the website, for example, the category may be stored in a manner of corresponding to a table.
Taking the website as a shopping website, for example, the classification of the operation behavior of the user may be determined for the classification of the goods browsed by the user, the classification of the goods entered into the shopping cart, or the classification of the goods purchased. For example, if the user browses goods and browses electronic goods in the operation behavior, the user operation behavior may be classified as an electronic product, if the user operation behavior is to add goods into a shopping cart and the goods added into the shopping cart are clothing goods, the user operation behavior may be classified as clothing, and if the user operation behavior is to purchase goods and the purchased goods are books, the user operation behavior may be classified as books.
Here, it is explained by taking a shopping website as an example, if the website is a video website, the user operation behaviors can be categorized according to the categories of videos browsed or watched by the user, such as a series of tv shows, a movie, and a variety, and the specific categories can be set as required.
When the user opens the website and executes the operation on the website, the operation behaviors of the user can be recorded in real time and the classification of each operation behavior can be determined in real time. Or each operation behavior of the user can be recorded when the user performs the operation on the website, and the classification of each operation behavior can be determined according to the operation behaviors recorded previously when the classification is needed to be used.
The classification preferences of the user's web site may be different at different time periods, e.g. the user may prefer to browse electronic products during a certain time period and clothing products during another time period, and thus the resulting classification of the operation behavior here is a classification within a predetermined time period, i.e. the resulting classification has a time attribute.
And step S220, adding a classification label to the user according to the classification of the operation behavior.
After determining the classification of the operation behaviors performed by the user for the website within the predetermined time period, adding a classification label to the user. For example, labels of all categories to which all operational behaviors of the user are related within a predetermined time period may be associated with the user.
After the user grade is obtained, a classification label is further added to the user, so that the pertinence of website analysis can be further increased.
Optionally, in step S220, the number of the operation behaviors that the user performs for each category of the operation behaviors may be counted, and taking the shopping website as an example, the number of all the operation behaviors that the user performs for the clothing category, the number of all the operation behaviors that the user performs for the book category, the number of all the operation behaviors that the user performs for the electronic product category, and the like may be counted. After that, the user classification may be screened out according to a preset rule based on the counted number for each classification of the operation behaviors, for example, the counted number of the operation behaviors may be sorted, and the classification of the operation behaviors corresponding to N (N is a positive integer) before the sorting may be taken as the user classification, or the classification of the operation behaviors of which the counted number exceeds the preset number may be taken as the user classification. After the user's classifications are filtered out, a classification label corresponding to the filtered user's classification may be added to the user.
The classification label of the user is obtained through the screening mode, so that the classification of the user is more representative, and the preference of the user can be more accurately reflected.
Further, the user ranking method provided by the embodiment of the present invention may further include: when the website has a new function, the new function is recommended to the user of the first selected level corresponding to the classification of the new function, e.g. the user may be recommended to use or try the new function. For example, when a video website adds a scoring function to a movie, the scoring function may be recommended to users having a first selected rating of movie tags. A first selected level of users may refer to selected users having a particular level, for example, where the level is embodied by a star, the selected level of users may be users of a three-star level, a four-star level, or a five-star level. Alternatively, the first selected level of users may also refer to users having a viscosity for the web site that is above a first predetermined value, which may be set to any suitable value as desired. Alternatively, the first selected ranking users may alternatively be the top M (M being a positive integer) ranking users of the category having the highest ranking. It is to be understood that the embodiments of the present invention are not limited thereto, and the users of the first selected level may be users of any level selected according to actual needs.
In selecting users, users at a first selected level may be first determined and then users having category labels corresponding to categories of new functionality may be screened from among these users, or users having category labels corresponding to categories of new functionality may be first screened and then users at a first selected level may be determined from among these users, or both may be performed simultaneously.
When the recommendation is executed, a short message can be pushed to the registered mobile phone number of the user to complete the recommendation, a mail can be sent to the registered mailbox of the user to complete the recommendation, or the recommendation can be completed in a mode of popping up an information box when the user opens a website. In addition, when a new function is recommended to the user, the user may also be encouraged to use the new function by setting an incentive, for example, sending a credit or a coupon to the user. When the website has a new function, the new function is recommended to the user of the selected level corresponding to the classification of the new function, so that the interest of the user in the website can be improved.
Based on any of the above embodiments, the user ranking method provided by the embodiment of the present invention may further include: issuing a website survey to users of a second selected level of said website; and receiving feedback of the second selected level of users on the website research. The second selected level of users may refer to selected users having a particular level, for example, a four star level or a five star level of users when the level is embodied by a star. Alternatively, the second selected level of users may also refer to users having a viscosity for the web site that is above a second predetermined value, which may be set to any suitable value as desired. Or, optionally, the users in the second selected level may also be the users in the top P levels (P is a positive integer) in each category. It is to be understood that the embodiments of the present invention are not limited thereto, and the users in the second selected level may be users in any level selected according to actual needs. In addition, in the embodiment of the present invention, the second selected level may be the same as or different from the first selected level, the second predetermined value may be the same as or different from the first predetermined value, and the values of M and P may be the same as or different from each other.
The website survey may be a questionnaire or the like, for example, information may be sent to a registered mobile phone number or a mailbox of the user to remind the user to fill in the questionnaire, or the user may be reminded to fill in the questionnaire by popping up an information box. In addition, rewards may also be provided to encourage users of selected levels to fill out a questionnaire.
By carrying out website research on users of selected levels, the website can be further optimized based on the feedback of the users of the selected levels on the website research, the satisfaction degree of the users on the website is increased, and the viscosity of the users on the website is further improved.
Fig. 3 is a block diagram illustrating a structure of a user ranking apparatus according to an embodiment of the present invention. As shown in fig. 3, an embodiment of the present invention further provides a user ranking device, where the user may be a website user, an application software user, or the like, and the embodiment of the present invention mainly exemplifies a website user, and the website may be any website such as a shopping website, a video website, a live website, or the like. The apparatus may include: a calculating module 310, configured to calculate a viscosity of a website by a user according to scores of operation behaviors of the website by the user in a predetermined time period, wherein each operation behavior corresponds to a score; and a rating determination module 320 operable to determine a rating of the user based on the user's stickiness to the website over the predetermined period of time.
The calculation module 310 may perform a mathematical operation on the score of each operation behavior of the user in a predetermined time period to obtain the viscosity of the user to the website. Different viscosity ranges may correspond to different grades, with higher viscosities also yielding higher grades. For example, the rating may be embodied by a star rating, such as a five-star rating, a four-star rating, a three-star rating, a two-star rating, etc., wherein the more stars the higher the rating. After the user level is determined, the analysis of the website can be made more targeted, for example, the website can be optimized for the operation behavior of the user of a specific level.
In an alternative embodiment, the calculation module 310 may count the score of each operation behavior of the website by the user in a predetermined time period when performing the viscosity calculation, and take the statistical result as the viscosity of the website by the user in the predetermined time period. The statistics may be an accumulation calculation, an average calculation, or any suitable mathematical operation, such as a weighted calculation, performed on the scores of each operation behavior of the user. Optionally, the score corresponding to each operation behavior may be initially set as a default value, and the website operator may adjust the score corresponding to each operation behavior according to needs, and/or further may adjust the weight corresponding to the score of each operation behavior, which is not limited in the embodiment of the present invention.
Optionally, the user ranking device provided in the embodiment of the present invention may further include a classification determining module and a tag adding module, where the classification determining module may be configured to determine a classification of an operation behavior performed by the user on the website in the predetermined time period, and the tag adding module may add a classification tag to the user according to the classification of the operation behavior, where each operation behavior may correspond to a classification. Specifically, the tag adding module may count the number of operation behaviors that are respectively executed by the user for each category of operation behaviors, and take a shopping website as an example, may count the number of all operation behaviors that are executed by the user for a clothing category, the number of all operation behaviors that are executed for a book category, the number of all operation behaviors that are executed for an electronic product category, and the like. After that, the user classification may be screened out according to a preset rule based on the counted number for each classification of the operation behaviors, for example, the counted number of the operation behaviors may be sorted, and the classification of the operation behaviors corresponding to N (N is a positive integer) before the sorting may be taken as the user classification, or the classification of the operation behaviors of which the counted number exceeds the preset number may be taken as the user classification. After the user's classifications are filtered out, a classification label corresponding to the filtered user's classification may be added to the user. The classification labels of the users are obtained through a screening mode, so that the classification of the users is more representative, and the preference of the users can be more accurately reflected.
Optionally, the user ranking device provided in the embodiment of the present invention may further include a recommending module, configured to recommend a new function to the user of the first selected rank corresponding to the classification of the new function when the website has the new function. A first selected level of users may refer to selected users having a particular level, for example, where the level is embodied by a star, the selected level of users may be users of a three-star level, a four-star level, or a five-star level. Alternatively, the first selected level of users may also refer to users having a viscosity for the web site that is above a first predetermined value, which may be set to any suitable value as desired. Alternatively, the first selected ranking users may alternatively be the top M (M being a positive integer) ranking users of the category having the highest ranking. It is to be understood that the embodiments of the present invention are not limited thereto, and the users of the first selected level may be users of any level selected according to actual needs. When the website has a new function, the new function is recommended to the user of the selected level corresponding to the classification of the new function, so that the interest of the user in the website can be improved.
Optionally, the user ranking device provided in the embodiment of the present invention may further include a website research module, which is configured to send a website research to users of a second selected ranking of the website, and receive feedback of the users of the second selected ranking on the website research. The second selected level of users may refer to selected users having a particular level, for example, a four star level or a five star level of users when the level is embodied by a star. Alternatively, the second selected level of users may also refer to users having a viscosity for the web site that is above a second predetermined value, which may be set to any suitable value as desired. Or, optionally, the users in the second selected level may also be the users in the top P levels (P is a positive integer) in each category. It is to be understood that the embodiments of the present invention are not limited thereto, and the users in the second selected level may be users in any level selected according to actual needs. By carrying out website research on users of selected levels, the website can be further optimized based on the feedback of the users of the selected levels on the website research, the satisfaction degree of the users on the website is increased, and the viscosity of the users on the website is further improved.
The specific working principle and benefits of the user ranking device provided by the embodiment of the present invention are similar to those of the user ranking method provided by the embodiment of the present invention, and will not be described herein again.
In addition, the user ranking device provided by the embodiment of the present invention may include a processor and a memory, and the calculating module, the ranking determining module, the classification determining module, the tag adding module, the recommending module, the website researching module, and the like may all be stored in the memory as a program unit, and the processor executes the program unit stored in the memory to implement the corresponding function. The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more, and the user level scoring method provided by the embodiment of the invention is realized by adjusting the kernel parameters. The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
Embodiments of the present invention provide a machine-readable storage medium having stored thereon instructions for causing a machine to perform a user rating method according to any of the embodiments of the present invention.
An embodiment of the present invention provides a processor, where the processor is configured to run a program, where the program executes a user rating method according to any embodiment of the present invention when running.
An embodiment of the present invention provides an apparatus, where the apparatus includes a processor, a memory, and a program stored in the memory and capable of running on the processor, and when the processor executes the program, the user ranking method according to any embodiment of the present invention is implemented. The device herein may be a server, a PC, a PAD, a mobile phone, etc.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, 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 specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A user ranking method, the method comprising:
calculating the viscosity of a website by a user according to the scores of the operation behaviors of the website by the user in a preset time period, wherein each operation behavior corresponds to one score; and
determining a rating of the user based on the user's stickiness to the website over the predetermined period of time.
2. The method of claim 1, further comprising:
determining classifications of the operation behaviors performed on the website by the user in the preset time period, wherein each operation behavior corresponds to one classification; and
and adding a classification label to the user according to the classification of the operation behavior.
3. The method of claim 2, wherein the adding a classification label to the user according to the classification of the operational behavior comprises:
counting the number of the operation behaviors which are respectively executed by the user aiming at each classification of the operation behaviors;
screening out the classification of the users according to a preset rule based on the counted number; and
and adding a classification label corresponding to the screened classification of the user for the user.
4. The method of claim 2, further comprising:
when the website has a new function, recommending the new function to a user of a first selected level corresponding to the classification of the new function.
5. The method according to any one of claims 1 to 4, further comprising:
issuing a website survey to users of a second selected level of said website; and
receiving feedback of the second selected level of users to the website survey.
6. The method of any one of claims 1 to 4, wherein the calculating the user's viscosity of the website comprises:
counting the scores of the user on each operation behavior of the website in the preset time period; and
and taking the statistical result as the viscosity of the user.
7. The method according to any one of claims 1 to 4, further comprising:
and adjusting the score corresponding to any operation behavior and/or the weight corresponding to the score of any operation behavior.
8. A user ranking apparatus, the apparatus comprising:
the calculation module is used for calculating the viscosity of a website by a user according to the scores of the operation behaviors of the website by the user in a preset time period, wherein each operation behavior corresponds to one score; and
a rating determination module to determine a rating of the user based on a viscosity of the user to the website over the predetermined period of time.
9. A machine-readable storage medium having instructions stored thereon for causing a machine to perform: the user rating method of any of claims 1 to 5.
10. A processor configured to execute a program, wherein the program is configured to perform: the user rating method of any of claims 1 to 5.
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