CN111651209B - Method and device for determining guide page - Google Patents
Method and device for determining guide page Download PDFInfo
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- CN111651209B CN111651209B CN201910159619.XA CN201910159619A CN111651209B CN 111651209 B CN111651209 B CN 111651209B CN 201910159619 A CN201910159619 A CN 201910159619A CN 111651209 B CN111651209 B CN 111651209B
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- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000004590 computer program Methods 0.000 claims description 10
- 238000010586 diagram Methods 0.000 description 6
- 230000009471 action Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000004883 computer application Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000036651 mood Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/4401—Bootstrapping
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
Abstract
A method and device for determining a guide page comprise the following steps: determining a user portrait; based on the user representation, a recommended guide page for the application is determined from a set of guide pages for the application stored in advance. The method and the device promote the correlation between the recommended guide page and the user characteristic information, and promote the probability of the user looking up the guide page. In addition, when the content information of the guide page is determined, the acceptance degree of the recommendation information in the past recommendation by the user can be referred to, and the content information with high acceptance degree is recommended preferentially, so that the probability of the user viewing the guide page is further improved.
Description
Technical Field
The present invention relates to the field of computer application technologies, and in particular, to a method and apparatus for determining a guide page.
Background
When a user opens an APP or has new functions to update, a guide page is generally presented on an APP page, the guide page is generally composed of 3-5 pages, a mood and atmosphere of a product are created for the user before the user uses the APP product, and the product functions and bright spots are promoted or the user is informed of the operation mode of the most core.
Page guides typically pick out a few (typically 3-5) more important functional points from each service of the APP, which the user is expected to be able to pay attention to when opening the APP. However, taking the use of the guide page of the map APP as an example, in the case that there is a guide page, the user selects to ignore the guide page in the first page of the guide page, and the ratio of the direct access to the main interface of the map APP (i.e., the skip rate) exceeds 50%, so that the guide page is often ignored by the user, and the purpose of helping the user to know the new function of the APP is not achieved, so how to improve the attention of the user to the guide page by improving the page guide technology is a problem to be solved.
Disclosure of Invention
The invention aims to provide a method and a device for determining a guide page, which are used for solving the problems that the guide page in the prior art is high in jump rate and does not play a good role in propaganda and guide, improving the correlation between the guide page and a user and improving the probability of the user to check the guide page.
In order to achieve the above object, the present invention provides a method for determining a guide page, comprising the steps of:
determining a user portrait;
based on the user representation, a recommended guide page for the application is determined from a set of guide pages for the application stored in advance.
The user portrait determination is specifically as follows: a user representation is determined based on the user data, the user representation including a user type.
The user data comprises user data generated by a user using the application program, and the user portrait is determined based on the user data, and specifically comprises:
a user representation is determined based on user data generated by a user using the application.
The user data comprises all data related to the user in the network, and the user portrait is determined based on the user data, and the method specifically comprises the following steps:
acquiring the type of the application program showing the recommended guide page;
determining user data associated with the type of the application from all user-related data in the network;
a user representation is determined based on the associated user data.
The method comprises the steps of determining recommended guide pages of an application program from a guide page set of the application program stored in advance based on the user portrait, wherein the recommended guide pages of the application program are specifically:
from a set of pre-stored guide pages of an application program, a guide page which has high user acceptance and is related to a user portrait is determined as a recommended guide page of the application program.
The invention also provides a device for determining the guide page, which comprises the following units:
a determining unit for determining a user portrait;
and the recommending unit is used for determining recommended guide pages of the application program from a guide page set of the pre-stored application program based on the user portrait.
The user portrait determination is specifically as follows: a user representation is determined based on the user data, the user representation including a user type.
The user data comprises user data generated by a user using the application program, and the user portrait is determined based on the user data, and specifically comprises:
a user representation is determined based on user data generated by a user using the application.
The user data comprises all data related to the user in the network, and the user portrait is determined based on the user data, and the method specifically comprises the following steps:
acquiring the type of the application program showing the recommended guide page;
determining user data associated with the type of the application from all user-related data in the network;
a user representation is determined based on the associated user data.
The method for determining the recommended guide page of the application program specifically comprises the following steps:
a guide page with high user acceptance and related to the user portrait is determined as a recommended guide page.
The invention also provides an electronic device, comprising:
a storage device;
one or more processors;
wherein the storage means is for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement a method of determining a boot page as described above.
The invention also provides a computer program product comprising computer program instructions for implementing a method of determining a guide page as described above when said instructions are executed by a processor.
The present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed, implements a method of determining a guide page as described above.
Compared with the prior art, the method and the device have the advantages that the user portrait can be determined based on the user data of the application program or the user data on the network, and the guide page to be recommended is determined according to the user portrait, so that the recommendation is performed, the correlation between the recommended guide page and the user characteristic information is improved, and the probability of the user viewing the guide page is improved. In addition, when the guide page is determined, the acceptance degree of the guide page by the user in the past recommendation can be referred to, and the guide page with high acceptance degree is recommended preferentially, so that the probability of the user viewing the guide page is further improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for determining a guide page according to a first embodiment of the present invention.
FIG. 2 is a diagram of a personalized recommended guide page for a user of the present invention when the user is a driving user.
FIG. 3 is a diagram of a personalized recommended guide page for a user of the present invention as a public transportation user.
Fig. 4 is a block diagram of a device for determining a guide page according to a second embodiment of the present invention.
Detailed Description
In order to facilitate an understanding and a complete description of the technical solutions of the present invention by a person skilled in the art, reference is made to the accompanying drawings, it being evident that the embodiments described are only some, but not all, of the embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
When the existing APP is used for designing the guide page, new function introduction extracted from different services of the APP is often ambiguous in correlation with a user, and is low in attractive force to the user and a main reason for high jump rate. However, in practical application, different users have different characteristics, and the ages, hobbies, demands, habits and the like of the users are different, so that the user figures of the different users are different. The invention starts from the user portrait, selects the recommended guide page aiming at the user portraits of different users, improves the relativity of the users and the guide content, and can improve curiosity and exploration desire of the users.
Example 1
Referring to fig. 1, a first embodiment of the present invention provides a method for determining a guide page, including:
(1) Determining a user portrait;
further, the determining the user portrait specifically includes: a user representation is determined based on the user data, the user representation including a user type.
Further, if a recommended guide page for an application is to be determined, the user data includes user data generated by a user using the application, and a user portrait is determined based on the user data generated by the user using the application.
Further, all user-related data in the network may also be used to determine the user profile, where all user-related data in the network includes user registration information including information of age, gender, hobbies, cultural degrees, addresses, occupation, income, etc. of the user, user network behavior data including information of browsing, focusing on, log information generated by the user using the network or the application program, etc.
When all user-related data in the network is used to determine the user portrayal, since the types of applications to recommend the guide page are various, the applications can be map, shopping, payment, traffic, etc., and all the user-related data in the network contains more information, it is obvious that the user portrayal determined directly using such much user-related data may not be focused on the user portrayal used by a certain type of application when recommending the guide page. Thus, the type of application to which the guide page is to be recommended may be determined first, then user data associated with the type of application may be determined from all the user-related data, and a user portrait may be determined based on these user data. For example, in determining a guide page of a map application, it is first determined that an application to which the guide page is to be recommended belongs to a map-type application, and then user data related to the map-type application is determined from all user-related data in the network, for example, the determined user data related to the map-type application includes: the user has a bus or frequently starts a bus or frequently takes a subway, and then the user portrait is determined according to the determined user data related to the application program of the map type, namely, the user is a user of what type, if the user has a bus or frequently starts a bus, the user type is a driving user, if the user frequently takes a bus or frequently takes a subway, the user type is a public transportation user, and then the guiding page is recommended according to the user portrait is the driving user or the public transportation user.
(2) Based on the user representation, a recommended guide page for the application is determined from a set of guide pages for the application stored in advance.
Further, a set of guide pages of the application program is stored in advance, the information in the guide pages can be information such as new functions of the application program, important functions of the application program, advertisements and the like, and after determining a user portrait, a recommended guide page of the application program is determined from the set of guide pages stored in advance based on the user portrait.
Referring to fig. 2 and 3, in the case of personalized recommendation of a guide page for a user of a map application, a user portrait may be determined first according to user data, and a recommended guide page of the map application may be determined from a pre-stored set of guide pages of the map application based on the user portrait. For example, the user portrayal may be a driving user or a public transportation user, and if the type of user is a driving user, the recommended guide page for the use function of such user in the map may be interval speed measurement, high-speed passing escort, charging stake, inviting to join in windward to earn oil money, etc.; if the user portrait is a public transportation user, the recommended guide page can be public transportation transfer upgrade, real-time public transportation is started, walking navigation is more intelligent and the like aiming at the use function of the user in the map.
Further, the user acceptance of the guide pages to be recommended may be stored in advance, and the guide page which has a high user acceptance and is related to the user portrait among the guide pages to be recommended may be selected as the recommended guide page. The acceptance degree indicates the number of the guide pages viewed by the user or the proportion of the guide pages viewed by the user when the guide pages are recommended, wherein the proportion viewed by the user is the number of times the user clicks to view the guide pages divided by the recommended number of times the guide pages are recommended.
Because the user acceptance of each guide page to be recommended is recorded in advance, the user can know which guide pages are frequently clicked or popular by the user, and information or advertisement information related to some application programs can be recommended more pertinently, so that the probability of the user to view the guide pages of the user is further improved.
Based on the guiding method in the first embodiment, since the guiding page to be recommended can be determined based on the user portrait so as to be recommended, the correlation between the recommended guiding page and the user characteristic information is improved, and the probability of the user viewing the user guiding page is improved.
Example two
Referring to fig. 4, a second embodiment of the present invention provides a device for determining a guide page, where the device includes a determining unit and a recommending unit.
The determining unit is used for determining the user portrait.
Further, the determining the user portrait specifically includes: a user representation is determined based on the user data, the user representation including a user type.
Further, if a recommended guide page for an application is to be determined, the user data includes user data generated by a user using the application, and a user portrait is determined based on the user data generated by the user using the application.
Further, all user-related data in the network may also be used to determine the user profile, where all user-related data in the network includes user registration information including information of age, gender, hobbies, cultural degrees, addresses, occupation, income, etc. of the user, user network behavior data including information of browsing, focusing on, log information generated by the user using the network or the application program, etc.
When all user-related data in the network is used to determine the user portrayal, since the types of applications to recommend the guide page are various, the applications can be map, shopping, payment, traffic, etc., and all the user-related data in the network contains more information, it is obvious that the user portrayal determined directly using such much user-related data may not be focused on the user portrayal used by a certain type of application when recommending the guide page. Thus, the type of application to which the guide page is to be recommended may be determined first, then user data associated with the type of application may be determined from all the user-related data, and a user portrait may be determined based on these user data. For example, in determining a guide page of a map application, it is first determined that an application to which the guide page is to be recommended belongs to a map-type application, and then user data related to the map-type application is determined from all user-related data in the network, for example, the determined user data related to the map-type application includes: the user has a bus or frequently starts a bus or frequently takes a subway, and then the user portrait is determined according to the determined user data related to the application program of the map type, namely, the user is a user of what type, if the user has a bus or frequently starts a bus, the user type is a driving user, if the user frequently takes a bus or frequently takes a subway, the user type is a public transportation user, and then the guiding page is recommended according to the user portrait is the driving user or the public transportation user.
The recommending unit is used for determining recommended guide pages of the application program from a guide page set of the pre-stored application program based on the user portrait.
Further, the information in the guide page set may be information such as a new function of an application program, an important function of the application program, an advertisement, and the like, and after determining a user portrait, a recommended guide page of the application program is determined from a pre-stored guide page set based on the user portrait.
Referring to fig. 2 and 3, in the case of personalized recommendation of a guide page for a user of a map application, a user portrait may be determined first according to user data, and a recommended guide page of the map application may be determined from a pre-stored set of guide pages of the map application based on the user portrait. For example, the user portrayal may be a driving user or a public transportation user, and if the type of user is a driving user, the recommended guide page for the use function of such user in the map may be interval speed measurement, high-speed passing escort, charging stake, inviting to join in windward to earn oil money, etc.; if the user portrait is a public transportation user, the recommended guide page can be public transportation transfer upgrade, real-time public transportation is started, walking navigation is more intelligent and the like aiming at the use function of the user in the map.
Further, the user acceptance of the guide pages to be recommended may be stored in advance, and the guide page which has a high user acceptance and is related to the user portrait among the guide pages to be recommended may be selected as the recommended guide page. The acceptance degree indicates the number of the guide pages viewed by the user or the proportion of the guide pages viewed by the user when the guide pages are recommended, wherein the proportion viewed by the user is the number of times the user clicks to view the guide pages divided by the recommended number of times the guide pages are recommended.
Because the user acceptance of each guide page to be recommended is recorded in advance, the user can know which guide pages are frequently clicked or popular by the user, and information or advertisement information related to some application programs can be recommended more pertinently, so that the probability of the user to view the guide pages of the user is further improved.
The device further comprises a storage means for storing the set of guide pages and the user acceptance of the guide pages to be recommended.
According to the device for determining the guide page in the second embodiment, the guide page to be recommended can be determined based on the user portrait so as to be recommended, so that the correlation between the recommended guide page and the user characteristic information is improved, and the probability of the user checking the user guide page is improved.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described apparatus, modules and units may refer to corresponding procedures of the foregoing method embodiments, and are not repeated herein.
In addition, the embodiment of the invention also discloses an electronic device, which comprises a storage device and one or more processors, wherein the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors realize the method as in the embodiment.
The embodiments of the present invention also disclose a computer program product comprising computer program instructions for implementing the method as in embodiment one, when the instructions are executed by a processor.
The embodiment of the invention also discloses a computer readable storage medium, on which a computer program is stored, which when executed, implements the method as in the first embodiment.
Compared with the prior art, the method and the device have the advantages that the type of the user can be determined based on the user portrait on the basis of determining the user portrait, and the content information of the guide page to be recommended is determined according to the type of the user, so that the recommendation is performed, the correlation between the recommended guide page and the user characteristic information is improved, and the probability of the user viewing the guide page is improved. In addition, the information to be recommended is comprehensively determined by referring to the type of the application program and the type of the user at the same time, and when the content information of the guide page is determined, the content information with high acceptance degree can be preferentially recommended by referring to the acceptance degree of the recommendation information in the past recommendation by the user, so that the probability of the user for viewing the guide page is further improved.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods, apparatus and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart and block diagrams may represent a unit, module, segment, or portion of code, which comprises one or more computer-executable instructions for implementing the logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. It will also be noted that each block or combination of blocks in the block diagrams and flowchart illustrations, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, 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 one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments, provided to enable any person skilled in the art to make or use the present invention, is provided for illustration only and not for limitation. Other variations or modifications of the various aspects of the invention will be apparent to those of skill in the art, and are within the scope of the invention.
Claims (8)
1. A method of determining a guide page, comprising the steps of:
acquiring the type of an application program showing a recommended guide page;
determining user data associated with the type of the application program from all user-related data in the network;
determining a user representation based on the associated user data;
based on the user representation, a recommended guide page for the application is determined from a set of guide pages for the application stored in advance.
2. The method of claim 1, wherein the user representation comprises a user type.
3. The method of claim 2, wherein the user representation is further determined based on user data generated by a user using the application.
4. A method according to one of claims 1-3, wherein said determining recommended guide pages of said application program from a set of guide pages of a pre-stored application program based on said user representation is in particular:
from a set of pre-stored guide pages of an application program, a guide page which has high user acceptance and is related to a user portrait is determined as a recommended guide page of the application program.
5. A determination device of a guide page, characterized by comprising the following units:
a determining unit, configured to obtain a type of an application program showing a recommended guide page, determine user data associated with the type of the application program from all data related to a user in a network, and determine a user portrait based on the associated user data;
and the recommending unit is used for determining recommended guide pages of the application program from a guide page set of the pre-stored application program based on the user portrait.
6. An electronic device, the device comprising:
a storage device;
one or more processors;
wherein the storage means is for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method of determining a bootstrap page as claimed in any of claims 1-4.
7. A computer program product comprising computer program instructions for implementing a method of determining a guide page according to any of claims 1-4 when said instructions are executed by a processor.
8. A computer readable storage medium having stored thereon a computer program which, when executed, implements a method of determining a guide page according to any of claims 1-4.
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| CN201910159619.XA CN111651209B (en) | 2019-03-04 | 2019-03-04 | Method and device for determining guide page |
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| CN112948017A (en) * | 2021-02-25 | 2021-06-11 | Oppo广东移动通信有限公司 | Guide information display method, device, terminal and storage medium |
| CN114493792A (en) * | 2022-01-29 | 2022-05-13 | 深圳市小满科技有限公司 | Foreign trade CRM recommendation method and related equipment |
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