CN117171406A - Application program function recommendation method, device, equipment and storage medium - Google Patents

Application program function recommendation method, device, equipment and storage medium Download PDF

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Publication number
CN117171406A
CN117171406A CN202311198127.4A CN202311198127A CN117171406A CN 117171406 A CN117171406 A CN 117171406A CN 202311198127 A CN202311198127 A CN 202311198127A CN 117171406 A CN117171406 A CN 117171406A
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China
Prior art keywords
search
function
target user
information
application program
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CN202311198127.4A
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Chinese (zh)
Inventor
田昕弋
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Beijing Zitiao Network Technology Co Ltd
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Beijing Zitiao Network Technology Co Ltd
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Priority to CN202311198127.4A priority Critical patent/CN117171406A/en
Publication of CN117171406A publication Critical patent/CN117171406A/en
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Abstract

The embodiment of the disclosure relates to a recommendation method, device, equipment and storage medium for application program functions. The recommendation method of the application program function comprises the following steps: responding to triggering operation of a target page of an application program, and determining function use information of a target user on a search function module in the application program based on user behavior data of the target user in a historical time period; if the function use information is larger than a preset information threshold, displaying the function label of the search function module at the function display position of the target page; the function tag is used for triggering the search function module. According to the embodiment of the disclosure, personalized recommendation of the search function is realized according to the condition that the user uses the search function in the application program, so that the user who prefers the search function can more conveniently see and use the search function at the function display position of the target page, the search operation path is shortened, and the search efficiency is improved.

Description

Application program function recommendation method, device, equipment and storage medium
Technical Field
The disclosure relates to the field of computer technology, and in particular, to a recommendation method, device, equipment and storage medium for application program functions.
Background
Currently, in an application program with a search function, a search box is mainly set at a certain position (such as the top) of a homepage started by the application program by default. When a user wants to search, a search is initiated through the search box. However, the searching mode needs the user to return to the position to execute the searching, and the searching path is long and inconvenient, so that the searching efficiency of the user is low.
Disclosure of Invention
In order to solve the technical problems, an embodiment of the present disclosure provides a recommendation method, apparatus, device and storage medium for application program functions.
In a first aspect, an embodiment of the present disclosure provides a recommendation method for an application function, including:
responding to triggering operation of a target page of an application program, and determining function use information of a target user on a search function module in the application program based on user behavior data of the target user in a historical time period;
if the function use information is larger than a preset information threshold, displaying the function label of the search function module at the function display position of the target page; the function tag is used for triggering the search function module.
In a second aspect, an embodiment of the present disclosure further provides a recommendation apparatus for an application function, where the apparatus includes:
a function use information determining unit, configured to determine function use information of a target user for a search function module in an application program based on user behavior data of the target user in a history period in response to a trigger operation of a target page of the application program;
the search function module display unit is used for displaying the function label of the search function module at the function display position of the target page if the function use information is larger than a preset information threshold; the function tag is used for triggering the search function module.
In a third aspect, embodiments of the present disclosure further provide an electronic device, including:
a processor;
a memory for storing executable instructions;
the processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the recommended method of application program functions described in any of the embodiments of the disclosure.
In a fourth aspect, the embodiments of the present disclosure also provide a computer-readable storage medium storing a computer program, which when executed by a processor, causes the processor to implement the recommended method of application functions described in any of the embodiments of the present disclosure.
In a fifth aspect, the disclosed embodiments also provide a computer program product for executing the recommended method of application functions described in any of the embodiments of the disclosure.
The recommending method, the recommending device, the recommending equipment and the recommending storage medium for the application program function can respond to the triggering operation of the target page of the application program and determine the function use information of the target user for the searching function module in the application program based on the user behavior data of the target user in the historical time period; if the function using information is larger than the preset information threshold, displaying a function label of the search function module at the function display position of the target page; the function label is used for triggering the search function module; the method and the device realize personalized search function recommendation according to the use condition of the search function module in the application program by a user, so that the search function is not additionally recommended to the user with no preference for the search function, the use efficiency of other functions of the application program is not influenced, and the search function is recommended to the user with preference for the search function, so that the user can more conveniently see and use the search function at the function display position of the target page, the search operation path is shortened, and the search efficiency is improved.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for analysis, stored data, presented data, etc.) related to the present disclosure are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related country and region, and be provided with corresponding operation entries for the user to select authorization or rejection.
Drawings
The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.
Fig. 1 is a flowchart of a recommendation method for an application function according to an embodiment of the present disclosure;
fig. 2 is a display schematic diagram of a search function module displayed at a function display position of an application program according to an embodiment of the present disclosure;
FIG. 3 is a flowchart illustrating another method for recommending application functionality according to an embodiment of the present disclosure;
Fig. 4 is a schematic display diagram of a function page of a search function module according to an embodiment of the disclosure;
FIG. 5 is a schematic diagram of a search related virtual resource task according to an embodiment of the present disclosure;
FIG. 6 is a flowchart illustrating a recommendation method for an application function according to an embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of a recommendation device for application functions according to an embodiment of the present disclosure;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure have been shown in the accompanying drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The functional modules presented by the current application are designed in advance by a developer, and the functional modules seen by each user are consistent. When a certain functional module is put down, a whole number of users put down the functional module, so that users who need the functional module cannot continue to use the functional module. When a certain function module is on line, a full number of users are on line with the function module, so that users who do not need the function module still need to put on the shelf with the function module, especially, the situation that the number of the function modules directly presented by an application program is limited and the function module which is newly on line is needed to replace the original function module exists, and the user cannot use the original function module which is preferred by the user.
For example, with respect to the search function module, most applications provide a search function through a search box in a homepage. However, for users who prefer the search function, the operation of returning to the page where the search box is located is complicated during each search, so that the efficiency of using the search function is low; for users who dislike search functions, the presentation of their search boxes can affect the presentation of other content/functions to some extent, affecting the efficiency of their use of other functions of the application. Therefore, a solution for individually recommending a search function is needed to meet the individual demands of different users for using application programs.
Based on the above situation, the embodiment of the disclosure provides a recommendation method for an application program function, so as to judge whether a user prefers a search function module according to the situation that the user uses the search function module in the application program, and further determine whether to recommend the search function module to the user, thereby achieving the effect of personally recommending the search function module in the application program.
The recommendation method of the application program function provided by the embodiment of the disclosure can be suitable for scenes of application program iteration function modules, and is particularly suitable for scenes of search function modules in personalized recommendation application programs. The method may be performed by a recommendation device for application functions, which may be implemented in software and/or hardware, which may be integrated in an electronic device in which the application is installed. The electronic device may include, but is not limited to, a smart phone, a Tablet (Tablet Personal Computer, tablet PC), a personal digital assistant (Personal Digital Assistant, PDA), a notebook computer, a desktop computer, an in-vehicle terminal (e.g., in-vehicle navigation terminal), a wearable device, a smart home device, and the like.
Fig. 1 is a flow chart illustrating a recommendation method for application program functions according to an embodiment of the present disclosure. As shown in fig. 1, the recommendation method of the application program function may include the following steps:
S110, responding to triggering operation of a target page of the application program, and determining function use information of the target user on a search function module in the application program based on user behavior data of the target user in a historical time period.
Wherein the target page is an interactive page in the application program providing the search function. In order to improve the exposure rate of the search function and the success rate of personalized recommendation, the target page can be a page with higher frequency of use by a user in the application program, for example, a homepage page which is opened by default by the application program, an information flow page which presents waterfall information flow, a task page which presents virtual resource tasks (such as a gold coin task or other game tasks, etc.), and the like. The historical time period is a time period prior to the current time, and may be, for example, 10 days prior to the current date. The user behavior data is related behavior data obtained during the use of the application by the target user. The target user is any user using the application. The function usage information is related information representing the usage of the search function module by the target user, and may be, for example, a usage frequency, a usage duration, a usage manner, and the like.
Specifically, in order to implement personalized search function modules in the recommended application program and ensure the success rate and convenience of use of the search function modules, the electronic device may determine whether to recommend the search function modules to the target user in some use scenarios of the application program. The usage scenario here may be that the target user performs a certain trigger operation on the target page of the application program. When the triggering operation of the target page is detected, the electronic equipment can acquire the user behavior data of the target user in a historical time period by using the search function module in the application program. The user behavior data may reflect the degree of interest of the target user in the search function module. Then, considering the diversity of the search trigger scene and the search result of the search function module, the data types reflecting the interest degree of the target user on the search function module in the user behavior data are also different, so the electronic device can analyze the user behavior data according to the search trigger scene corresponding to the search function module, the consumed type of the search result and the like, so as to obtain the function use information of the target user on the search function module.
In some embodiments, the triggering operation of the target page of the application program includes: the application is started to open a triggering operation of the homepage of the application. When the target user starts the application program, the electronic device defaults to open the homepage of the application program, so that the exposure rate of the homepage is higher. Therefore, the electronic device can recommend the search function module to the target user who prefers searching in the homepage, so when the electronic device detects the triggering operation of starting the application program, the judgment flow recommended by the search function module can be started so as to recommend the search function module in the homepage of the application program.
In other embodiments, the triggering operation of the target page of the application program includes: triggering operation of opening the information flow page of the application program. An information flow page refers to a page that continuously presents new information content. In view of the characteristics of the information flow page, if the target user wants to execute the search operation in the process of browsing the information flow page, the target user needs to return to the search box, and after the search is finished, the target user cannot quickly locate the original information flow page position, so that poor user experience is caused. Therefore, the electronic device can recommend the search function module in the information flow page, so that the target user can use the search function more conveniently in the process of browsing the information flow page.
In still other embodiments, the triggering operation of the target page of the application program includes: and switching to triggering operation of the information detail page of the application program. In the process of using the application program, the target user can jump from the search result to a result detail page, jump from the encyclopedia entry to an entry detail page, jump from a book/music/video introduction page or a pushing page to a corresponding landing detail page, and the like, and the requirement of inspiring search on some content in the information detail page can exist. Therefore, the electronic device can also start the judging flow recommended by the search function module when detecting the triggering operation of switching to the information detail page so as to recommend the search function module in the information detail page.
In still other embodiments, the triggering operation of the target page of the application program includes: and switching to triggering operation of a task page of the virtual resource task of the application program. If a virtual resource task (such as a gold coin task, a video task, etc.) is set in the application program, in order to improve the searching efficiency of the target user when executing the virtual resource task, the electronic device may start the judging flow recommended by the searching function module when detecting a task page (such as a page for displaying the virtual resource task, a landing page for executing a certain virtual resource task, etc.) for starting the virtual resource task, so as to recommend the searching function module in the task page.
Besides the search function module, the music function module, the video function module, the information release function module, the book function module and the like can be individually recommended. For example, the music function module, the video function module, the book function module and the like are used in a manner that continuous use exists after each start, so that the use frequency, the use duration and other indexes of the function modules by the target user can reflect the interest degree of the user. Then, the electronic device may count, for such a function module, an index value such as a frequency of use or a use duration in the user behavior data as function use information of the corresponding target function module.
And S120, if the function use information is larger than a preset information threshold, displaying the function label of the search function module at the function display position of the target page.
The preset information threshold is a preset critical value of function use information, and may be set to be an experience value for identifying that a user is interested in searching the function module, may be statistically determined according to the function use information of a plurality of users, or may be comprehensively determined by combining the experience value and the statistical value. The function display location refers to a location where a display area of at least one function module in the application program is displayed, and may be, for example, a display area where a navigation bar/tab bar at the bottom or top is located. A functionality tab is an interactable tab control that characterizes a functionality module in an application. The function label of the search function module is an interaction control for triggering the search function module.
Specifically, the electronic device compares the function usage information with a preset information threshold. If the function usage information is less than or equal to the preset information threshold, which indicates that the usage condition of the target user on the search function module does not exceed the interested critical value, the target user may not be interested in the function usage information, and the search function module is not recommended to the target user. If the function usage information is greater than the preset information threshold, indicating that the usage condition of the target user on the search function module exceeds the interested critical value, recommending the search function module to the target user. At this time, the electronic device may display the function tag of the search function module at the function display position of the target page of the application program, so that after the target page of the application program is started, the target user may quickly see and conveniently use the search function module, so as to improve the exposure rate of the search function module to the target user, thereby improving the convenience and efficiency of the target user in using the search function module, and further improving the use experience of the target user to the application program.
Referring to fig. 2, a search function module is recommended to a target user in a homepage of an application program as an example. After the application is started, the electronic device may display the homepage function page 220 corresponding to the homepage function module 211 by default. Meanwhile, the electronic device may display the function label of the "search" function module 212 in its function display position 210 to directly permeate out the search function module, so as to be convenient for the target user to find and use.
In some embodiments, S120 further comprises: and displaying the function entry control of the search function module at a third preset position of the homepage of the application program.
Wherein the function entry control is an interactive control for entering an entry of a certain function module to a user, and is used for guiding the user to enter a relevant page of the function module and using the function module. The function entry control may be, for example, a function label control, or may be a card or information module with an interactive function.
Specifically, after the search function module is recommended to the target user, in order to further improve the exposure rate of the search function module, so as to further improve the probability of the target user finding the search function module and the convenience of using the search function module, the electronic device may display the function label of the search function module in the function display position of the target page of the application program, and display the function entry control of the search function module in the home page function module displayed by default after the application program is started.
With continued reference to fig. 2, the electronic device may also display a search box 230 corresponding to the search function module in a top area of the home function page 220 corresponding to the "home" function module 211. If a search box is displayed in the original home page 220, the search box 230 may be enlarged to further highlight the functional entry controls of the search function module, thereby facilitating the target user to find and use the search box 230 for searching.
For another example, for a book function module, a music function module, a video function module, and the like, a corresponding function card may be displayed at a certain position (e.g., a top position or a visual center position, etc.) of the homepage function page 220 corresponding to the "homepage" function module 211, and some information of the corresponding function module may be displayed in the function card so that the user can find and use the function module.
According to the recommendation method of the application program function provided by the embodiments of the disclosure, function use information of a search function module in the application program by a target user can be determined based on user behavior data of the target user in a historical time period in response to trigger operation of a target page of the application program; if the function using information is larger than the preset information threshold, displaying a function label of the search function module at the function display position of the target page; the function label is used for triggering the search function module; the method and the device realize personalized search function recommendation according to the use condition of the search function module in the application program by a user, so that the search function is not additionally recommended to the user with no preference for the search function, the use efficiency of other functions of the application program is not influenced, and the search function is recommended to the user with preference for the search function, so that the user can more conveniently see and use the search function at the function display position of the target page, the search operation path is shortened, and the search efficiency is improved.
In some embodiments, the recommendation method of the application program function may further implement recommendation of the search function through recommendation of the virtual resource task in the function module of the virtual resource task. As shown in fig. 3, the recommendation method for application program functions in these embodiments specifically includes:
s310, determining the first searching times of the target user in unit time based on the total searching times of the target user in the historical time period, and using the first searching times as function use information.
Specifically, for the search function module, each time the target user uses, at least one search is triggered, so the number of searches can reflect the interest degree of the target user in the search function module. For example, the more times the target user searches in the historical time period, the more the target user prefers to use the search function module. Further, in order to more accurately determine whether the target user prefers to use the search function module, the search frequency of the target user in the history period, that is, the number of searches (referred to as the first number of searches) of the target user in a unit time in the history period may be calculated. For example, the history period is 10 days, and the unit time may be set to 1 day, and then the first search number is a daily average search number.
S320, determining the task number of the target user for completing the virtual resource tasks based on the execution information of the target user on the virtual resource tasks in the historical time period, and taking the task number as the function use information.
In particular, for a target user who prefers to complete a virtual resource task, a search function module may be recommended by pushing the virtual resource task related to the search. In this scenario, the user behavior information of the target user may be execution information of the virtual resource task, for example, may be related information of a process of completing the specified virtual resource task to acquire/collect the virtual resource, or the like. Whether the target user prefers a virtual resource task may be determined by the circumstances of the virtual resource task that completed within its historical time period. For example, a greater number of completed virtual resource tasks, or a higher degree of completion of completed virtual resource tasks, may indicate that the target user prefers virtual resource tasks. The electronic device may analyze the execution information of the virtual resource tasks to determine at least a number of tasks of the virtual resource tasks that the target user completes in the historical time period. Since the search function can be recommended by the function module of the virtual resource task, the number of tasks obtained as described above can also be determined as function usage information of the search function module by the target user.
The task type of the virtual resource task in the history period may not be limited, and may be a task related to a search or a task unrelated to a search.
S330, if the first searching times are larger than the second searching times and the task number is larger than the preset number, displaying function labels of the searching function modules at the function display positions, and displaying virtual resource entry controls at the first preset positions of the target pages.
When the function usage information is the first search times, the preset information threshold is also corresponding to the search times (i.e. the second search times) in a unit time, which may be empirically set or obtained by using statistics of user behavior data of a plurality of users. In an example, the preset information threshold may be an empirically set number of searches. In another example, the preset information threshold may be determined by counting user behavior data of the plurality of users, i.e., the preset information threshold is a second search number of the plurality of users in a unit time, the second search number being determined based on a total search number of the plurality of users in a history period. In this example, user behavior data of a plurality of users within a history period may be acquired, and the second search times may be calculated using the search times in the user behavior data and the history period.
The preset number is the number of preset virtual resource tasks, and can be used for reflecting whether the target user prefers the virtual resource tasks. The preset number may be set empirically or may be statistically determined based on user behavior data of a plurality of users, for example, it may be set to 3. The virtual resource entry control is a control with an interaction function for guiding a user to enter a relevant page of a virtual resource task, for example, the virtual resource entry control can be a text label with the interaction function, a picture and text label with the interaction function, a suspension pendant and the like. The virtual resource may be a gold coin, a point, or the like, or may be a function use authority or the like.
In particular, virtual resources may have some incentive for users, so there are many users who prefer virtual resources. Therefore, in order to further improve the use efficiency of the search function module, in this embodiment, a virtual resource task related to the search function module may be set for a user who prefers virtual resources.
The electronic device may determine whether the first number of searches is greater than the second number of searches. If the first search times is less than or equal to the second search times, indicating that the target user is not interested in the search function, no subsequent operation is performed. And if the first searching times are larger than the second searching times, describing the target user preference searching function. At this point, the electronic device may further determine whether the target user prefers the virtual resource. If the obtained task number is smaller than or equal to the preset number, the target user is not interested in the virtual resource task, and the functions related to the virtual resource are not recommended. If the number of tasks is greater than the preset number, indicating that the target user is a user who prefers virtual resource tasks, then virtual resource functions may be recommended thereto. Therefore, the electronic equipment can display the function label of the search function module at the function display position of the target page, and simultaneously display the virtual resource entry control at a certain set position (namely the first preset position) of the target page, so that a user can use the search function module and can quickly enter a virtual resource task, and the technical effect of further guiding the target user to use the search function module through the virtual resource task and improving the use efficiency of the search function module is achieved.
With continued reference to fig. 2, for the example in which the target page is the home page of the application, the electronic device may display the virtual resource entry control 240 at the first preset location of the home page function page in addition to displaying the function tab of the search function module at the bottom function presentation location. The first preset position may be a fixed position or a scrolling position moving with the page. Thus, the virtual resource entry control 240 may be a graphic control fixed at a position of the homepage function page, or may be a suspended graphic control whose position may be changed along with the sliding of the page, which is not limited in the embodiments of the present disclosure. Thus, for a target user who prefers a virtual resource task, he or she may enter the relevant page of the virtual resource task through a virtual resource entry control in the home page to direct the target user to use the search function module through the virtual resource task.
In some embodiments, following S330, the method of embodiments of the present disclosure may further specifically include the following steps a-B: and step A, responding to the triggering operation of the function label, and displaying a function page of the search function module.
Specifically, after the target user performs the triggering operation on the function tag of the search function module, the electronic device may jump from the original page to the function page of the search function module, so as to display more relevant information of the search function module.
With continued reference to fig. 2, the target user may click on the function tab of the "search" function module 212 and the electronic device jumps to the function page of the "search" function module 212, as shown in fig. 4. In fig. 4, the electronic device may display a search box 410 and a search control 420 corresponding to the "search" function module. Meanwhile, the electronic device may also display search classification controls 430 of different content classifications in the search function page, so that the user may enter the corresponding content domain through these search classification controls 430 to perform a vertical search.
And B, displaying a virtual resource entry control in the function page of the search function module.
Specifically, to increase the exposure rate of the functional module of the virtual resource task, the electronic device may also display a virtual resource entry control in the functional page of the search functional module.
With continued reference to fig. 4, the electronic device can also display a virtual resource entry control 440 in the function page of the "search" function module. In this way, the target user can use the search and complete virtual resource tasks in the function page.
According to the application program function recommending method provided by the embodiments of the present disclosure, the function use information of the search function module is represented by the search times in unit time, so that the accuracy of representing the interest degree of the target user to the search function module by the function use information is further improved, and the accuracy of the personalized recommended search function module is further improved; when the target user completes at least a preset number of virtual resource tasks in a historical time period, a virtual resource entry control can be displayed in the functional page; the target user is guided to use the target function module through the virtual resource task related to the target function module, and the use efficiency of the target function module is further improved.
In some embodiments, after S330 above, the method further comprises: and responding to the triggering operation of the virtual resource entry control, and displaying the target virtual resource task in the task page of the virtual resource task.
The target virtual resource task comprises a virtual resource task related to search, which is generated based on keywords corresponding to search intention of a target user in a historical time period. The keywords may be related words of historical search words corresponding to the search intention, hot entries at the current time corresponding to the search intention, or the like.
Specifically, based on the description of the above embodiments, the target user prefers to search for the functional module and prefers to complete the task of the virtual resource to acquire more virtual resources, and then, in order to better guide the target user to use the functional module, the electronic device may push the task of the virtual resource related to the functional module to the target user.
In order to further improve the execution rate of the virtual resource tasks related to search, thereby further improving the use efficiency of the search function module, the recommended virtual resource tasks can be set as virtual resource tasks which are more interesting to the target user. Therefore, the search intention of the target user in the historical time period can be determined according to the user behavior data. Then, keywords related to the search intention are determined. Then, the keywords can be used as core information in task description of the virtual resource task related to search, and the target virtual resource task is generated.
With continued reference to fig. 4, the target user may perform a trigger operation such as clicking on the virtual resource entry control 440 displayed in the function page corresponding to the search function module. Then, the electronic device may display a virtual resource task page in response to the triggering operation. The virtual resource task page can be a new page, or can be a local area, a floating window, a popup window or the like in the functional page. As shown in fig. 5, the virtual resource task page 510 is a bottom popup area in the function page corresponding to the search function module.
In one example, if the historical search terms of the target user over the historical period of time include search terms related to food products such as "braised pork practice", "food product recommendation", etc., then the search intent may be determined to be food intent. And, it may be determined that the keyword corresponding to the delicious food intention includes "tomato stir-frying egg method", then the target virtual resource task of "search tomato stir-frying egg method and browse for 15 seconds to obtain xxx search coin" may be displayed in the virtual resource task page 510.
In another example, if the target user's historical search terms over the historical period of time include educational related search terms such as "college entrance", "xx entrance accent knowledge", etc., then the search intent may be determined to be educational intent. And if the current period is a college entrance examination season of 6 months, it may be determined that the entry corresponding to the education intention includes "college entrance examination volunteer filling", and then the target virtual resource task of "search college entrance examination volunteer filling and browse for 15 seconds to obtain xxx search coins" may be displayed in the virtual resource task page 510.
In some embodiments, the search function module may be recommended for users who prefer to consume multimedia content. S110 shown in fig. 1 may be further refined. On the basis of the above, S120 may be further refined. As shown in fig. 6, the recommendation method for application program functions in these embodiments specifically includes:
s610, based on search behavior data of the target user in a historical time period, determining search related information corresponding to the target user as function use information.
The search behavior data is user behavior data obtained for the search function. The search related information is information related to a search function module for characterizing whether a target user prefers to consume a content resource corresponding to the search. The search related information may be, for example, information that the target user consumes the content resource corresponding to the search, such as a content consumption duration of the search result; or information about whether the corresponding content resource is updated or not, such as whether the search result is updated or not; it may also be whether the search recommended word belongs to real-time trending information, etc.
Specifically, the electronic device may extract search behavior data from the user behavior data, and then further extract search related information consuming content resources related to the search from the search behavior data. In this way, it is determined whether the target user prefers to consume the content resource by searching the related information. Therefore, the search related information may also be used as function usage information of whether the target user prefers the search function module.
And S620, if the searched related information reaches the preset information condition, displaying the function label of the searching function module at the function display position of the application program.
The preset information condition is a critical condition of the search related information, and the corresponding critical condition can be set according to different search related information. For example, when the search related information is a content consumption time period, the preset information condition may be a preset time period (i.e., a preset time period); for another example, when the search related information is a search recommended word, the preset information condition may be some constraint condition of the search recommended word, or the like.
Specifically, the electronic device may compare the search related information with its corresponding preset information condition. If the search related information does not reach the corresponding preset information condition, the target user is not interested in consuming the content resource, the search function module can be not recommended to the target user, or other information judgment can be performed by combining the embodiments. If the search related information reaches the corresponding preset information condition, the target user is interested in consuming the content resource, and the target user is likely to execute the search operation due to consuming the content resource, so that the search function module can be recommended to the target user in the case, namely, the function label of the search function module is displayed at the function display position of the application program.
In some embodiments, the foregoing process may be combined with the implementation of the search number determination in the foregoing embodiments. For example, the relationship between the first search number and the second search number may be determined first. If the first search times are larger than the second search times, the target user is considered to be a preference search function module if the search times of the target user in unit time are larger than the search times of the majority of users in unit time. On this basis, the search related information may be further compared with a preset information condition. If the search related information does not reach the preset information condition, whether the target user prefers to consume the content resource cannot be indicated, and the search function module can be recommended to the target user. If the search related information reaches the preset condition, the target user is more preferred to consume the content resource corresponding to the search while preferring the search function module, the search function module can be recommended to the target user, and the search function module is recommended in a mode related to the consumption of the content resource.
In some embodiments, after S620, the method further comprises: and displaying search recommended words corresponding to the search related information at a second preset position of the search function page corresponding to the function label.
The search recommended words are generated for the target user and recommended to the user in the search scene, and can be obtained according to historical search words of the target user or according to search results consumed by the target user in a historical time period. The second preset position is a preset display area in the function page, and may be, for example, a search box in the function page.
In particular, according to the above description, the electronic device may recommend the search function module in a manner related to consuming the content resource. In these embodiments, the electronic device may recommend, in addition to the search function module to the target user, content resources that may be interested in searching by the target user, for example, search recommendation words corresponding to search related information that reaches a preset information condition may be recommended to the target user.
The recommending process can be specifically realized by displaying the function label of the searching function module at the function display position of the application program, and simultaneously displaying the searching recommended word matched with the searching related information at the second preset position of the function page corresponding to the function label so as to inspire the target user to initiate searching by the searching recommended word. With continued reference to fig. 4, the electronic device displays the search function tab at the function presentation location 450, along with the search recommendation "college entrance examination volunteer fills" in the search box of its function page that may be of interest to the target user.
It should be noted that, if a function entry control (e.g., a search box) corresponding to the search function module is displayed in the homepage of the application program, the electronic device may also display the search recommendation word at the function entry control, as shown in fig. 2.
It should be further noted that, as shown in fig. 4, if it is determined that the target user prefers both the virtual resource task and the consumption search for the corresponding content resource, the electronic device may display the virtual resource entry control 440 and the search recommendation term "college entrance application" in the function page of the search function module at the same time.
In some embodiments, the "the search related information corresponding to the target user reaches the preset information condition" in S620 may be implemented as at least one of the following C to E:
C. and the content consumption time length of the target user under the same search classification, which is included in the search behavior data, reaches the preset time length.
The search category is a search category determined by classifying a content resource corresponding to a search. The preset time period is a preset time period, which may be determined according to experience of whether the user is interested in a certain search category, and may be 30 minutes, for example.
Specifically, whether the target user has a consumption intention for the content resources of a search category can be determined by whether the target user consumes the content resources under the search category for a long time.
In one example, user behavior data may be counted in search categories to determine the duration of consumption of content by a target user under each search category. And then, comparing the consumption time length of the content corresponding to each search category with the preset time length to screen out the search category reaching the preset time length. In this way, search recommendations may be determined in a subsequent process according to the screened search categories. For example, if the selected search category is the college entrance examination field, the search recommended word of the target user under the college entrance examination field can be displayed in the process.
In another example, if the target user is interested in the content creator of the published content, the content consumption duration of the original content published by the target user for the content creator of his interest may be determined from the user behavior data. And if the content consumption duration reaches the preset duration, the target user is interested in the search classification focused by the content creator. Then, the search recommended word can be recommended for the search category focused by the content creator in the above process.
D. And each search recommended word corresponding to the target user is provided with a search recommended word matched with the hot entry in the current time period.
Specifically, the search recommended words for the target user are mostly of interest to the target user, who is likely to initiate a search with the search recommended words. Therefore, if each search recommended word corresponding to the target user contains real-time hot spot information, that is, search recommended words matched with hot entries in the current time period exist in the search recommended words, the probability that the user initiates a search by the matched search recommended words is higher. Therefore, the electronic device can determine whether the preset condition is reached by using the matching result of the real-time hot spot information. If the matching result is that the search recommended word successfully matched exists, the search recommended word successfully matched can be recommended to the target user in the process.
The matching of the search recommended word and the popular term can be realized by a word matching mode or an intention matching mode. The means for matching the intention is to match the intention corresponding to the search recommended word with the intention corresponding to the trending entry. If the search intention is successfully matched, the corresponding search recommended word and the corresponding hot entry are successfully matched.
The hot spots and hotspots in the real-time hot spot information and the hotspots entry can be determined by the frequency of the consumption (such as clicking, browsing, forwarding, sharing and the like) of the corresponding information in the current time period; or may be determined by obtaining a real-time search list.
E. And updating the content of the search results associated with at least one search recommended word corresponding to the target user.
Specifically, each search term corresponds to an associated search result, i.e., a search result obtained when a search is initiated with the search term. If the search results associated with a search term are not updated with content, then each time a search is initiated with the search term, the search results presented to the target user remain substantially unchanged. When the content of the search result associated with one search recommended word is updated, the obtained search result can be changed when the search recommended word is used for initiating the search, new content can be presented to the target user, and the new content can better attract the target user to consume. Therefore, the electronic device can determine whether the preset condition is reached by using whether the content update exists in the search result associated with the search recommended word. If the search result associated with at least one search recommended word has content update, the search recommended word with the content update of the search result can be recommended to the target user in the process.
In an example, the search result presence content update associated with the search term may be a manual background optimization of the original search result. For example, for the real-time hot spot information, in order to improve the information content and quality of the content resource, the manual background may integrate and optimize the original search results corresponding to the real-time hot spot information, so as to obtain better search results.
In another example, the updating of the content of the search result associated with at least one search recommendation word exists in each search recommendation word corresponding to the target user includes: the content creator publishes new original content.
Specifically, for a scenario in which a target user focuses on a content creator and the content consumption duration of original content issued by the target user reaches a preset duration, the target user has a higher focus on the content creator, and when the content creator issues new original content, it can be considered that a search result associated with a search recommendation word corresponding to a search category focused by the content creator has content update.
It should be noted that the implementation manners of the foregoing C to E may be combined to further improve the possibility that the target user initiates the search with the determined search recommended word, thereby further improving the accuracy of the search recommended word recommended to the target user. For example, for the combination of C and D, it may be that, among the search recommended words corresponding to the search category focused on by the content creator focused on by the target user, there is a search recommended word matching the trending entry, and then the matched search recommended word may be recommended to the target user. For another example, for the combination of C to E, there may be search recommended words matching the popular term among the search recommended words corresponding to the search category focused by the content creator focused by the target user, and the search results associated with the matching search recommended words may have content updates.
According to the application program function recommending method provided by the embodiments of the present disclosure, the target users having higher use requirements on the search function module can be more accurately screened out by increasing the judging process that the search related information corresponding to the target users reaches the preset information condition, so that the accuracy of the personalized recommended search function module and the use efficiency of the search function module are further improved.
The following is an embodiment of an application function recommending apparatus provided in the embodiment of the present invention, which belongs to the same inventive concept as the application function recommending method in the above embodiments, and details which are not described in detail in the application function recommending apparatus embodiment may refer to the application function recommending method embodiment.
Fig. 7 is a schematic structural diagram of a recommendation device for application functions according to an embodiment of the present disclosure. As shown in fig. 7, the recommendation device 700 of the application function may include:
a function use information determining unit 710 for determining function use information of the target user for the search function module in the application program based on user behavior data of the target user in a history period in response to a trigger operation of the target page of the application program;
The search function module display unit 720 is configured to display a function tag of the search function module at a function display position of the target page if the function usage information is greater than a preset information threshold; the function tag is used for triggering the search function module.
The application program function recommending device of the embodiment of the present disclosure is capable of determining function use information of a target user for a search function module in an application program based on user behavior data of the target user in a historical time period in response to a trigger operation of a target page of the application program; if the function using information is larger than the preset information threshold, displaying a function label of the search function module at the function display position of the target page; the function label is used for triggering the search function module; the method and the device realize personalized search function recommendation according to the use condition of the search function module in the application program by a user, so that the search function is not additionally recommended to the user with no preference for the search function, the use efficiency of other functions of the application program is not influenced, and the search function is recommended to the user with preference for the search function, so that the user can more conveniently see and use the search function at the function display position of the target page, the search operation path is shortened, and the search efficiency is improved.
In some embodiments, the function usage information determination unit 710 implements a trigger operation of a target page of an application program by any one of:
starting an application program to open a triggering operation of a homepage of the application program;
triggering operation of opening an information flow page of an application program;
switching to triggering operation of the information detail page of the application program;
and switching to triggering operation of a task page of the virtual resource task of the application program.
In some embodiments, the function usage information determining unit 710 is specifically configured to:
the first search times of the target user in unit time are determined as function use information based on the total search times of the target user in the history time period.
Further, the preset information threshold is a second search number of the plurality of users in a unit time, and the second search number is determined based on a total search number of the plurality of users in a history period.
In some embodiments, the function usage information determining unit 710 is further configured to:
and determining the task number of the target user for completing the virtual resource tasks as function use information based on the execution information of the target user on the virtual resource tasks in the historical time period.
Further, the search function module display unit 720 specifically functions to:
if the first searching times are larger than the second searching times and the task number is larger than the preset number, displaying function labels of the searching function module at the function display position, and displaying a virtual resource entry control at the first preset position of the target page.
Further, the recommendation device 700 of the application program function further includes a target virtual resource task display unit, configured to:
displaying function labels of the search function module at the function display position if the first search times are larger than the second search times and the task number is larger than the preset number, and after displaying the virtual resource entry control at the first preset position of the target page, responding to the triggering operation of the virtual resource entry control to display the target virtual resource task in the task page of the virtual resource task; the target virtual resource task comprises a virtual resource task related to search, which is generated based on keywords corresponding to search intention of a target user in a historical time period.
In some embodiments, the search function module display unit 720 is specifically configured to:
determining search related information corresponding to the target user as function use information based on search behavior data of the target user in a historical time period; wherein the search related information includes at least one of a content consumption time period for the search result, a search recommendation word, and the search result;
Accordingly, the function usage information determining unit 710 is specifically configured to:
and if the search related information reaches the preset information condition, displaying the function label of the search function module at the function display position of the application program.
The condition that the search related information corresponding to the target user reaches the preset information comprises at least one of the following:
the content consumption time length of the target user under the same search classification, which is included in the search behavior data, reaches a preset time length;
each search recommended word corresponding to the target user has a search recommended word matched with the hot entry in the current time period;
and updating the content of the search results associated with at least one search recommended word corresponding to the target user.
Further, the content consumption duration of the target user under the same search category, which is included in the search behavior data, includes:
the content consumption time of the target user for the original content of the concerned content creator;
or, the updating of the content of the search result associated with at least one search recommended word exists in each search recommended word corresponding to the target user, which comprises the following steps:
the content creator publishes new original content.
In some embodiments, the application function recommending apparatus 700 further includes a search recommended word display unit for:
And if the search related information reaches the preset information condition, displaying the function label of the search function module at the function display position of the application program, and displaying the search recommended word corresponding to the search related information at a second preset position of the search function page corresponding to the function label.
The application program function recommending device provided by the embodiment of the invention can execute the application program function recommending method provided by any embodiment of the invention, and has the corresponding function modules and beneficial effects of the executing method.
It should be noted that, in the embodiment of the application function recommending apparatus, each included unit is only divided according to the function logic, but not limited to the above division, so long as the corresponding function can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present disclosure.
The disclosed embodiments also provide an electronic device that may include a processor and a memory that may be used to store executable instructions. The processor may be configured to read the executable instructions from the memory and execute the executable instructions to implement the recommended method of application functions in the above embodiments.
Fig. 8 shows a schematic structural diagram of an electronic device according to an embodiment of the disclosure.
As shown in fig. 8, the electronic device 800 may include a processing means 801 (e.g., a central processing unit, a graphics processor, etc.) that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 802 or a program loaded from a storage means 808 into a Random Access Memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the electronic device 800 are also stored. The processing device 801, the ROM 802, and the RAM 803 are connected to each other by a bus 804. An input/output interface (I/O interface) 805 is also connected to the bus 804.
In general, the following devices may be connected to the I/O interface 805: input devices 806 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, and the like; an output device 807 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, etc.; storage 808 including, for example, magnetic tape, hard disk, etc.; communication means 809. The communication means 809 may allow the electronic device 800 to communicate wirelessly or by wire with other devices to exchange data.
It should be noted that the electronic device 800 shown in fig. 8 is only an example, and should not impose any limitation on the functions and application scope of the embodiments of the present disclosure. That is, while FIG. 8 illustrates an electronic device 800 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a non-transitory computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via communication device 809, or installed from storage device 808, or installed from ROM 802. When executed by the processing device 801, the computer program performs the functions defined above in the recommended method of application functions of any embodiment of the present disclosure.
The disclosed embodiments also provide a computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to implement the recommended method of application functions in any of the embodiments of the disclosure.
It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP, and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to perform the steps of the recommended method of application functions described in any of the embodiments of the disclosure.
In an embodiment of the present disclosure, computer program code for performing the operations of the present disclosure may be written in one or more programming languages, including but not limited to an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of devices, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified 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. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this disclosure is not limited to the specific combinations of features described above, but also covers other embodiments which may be formed by any combination of features described above or equivalents thereof without departing from the spirit of the disclosure. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).
Moreover, although operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are example forms of implementing the claims.

Claims (14)

1. A method for recommending application functions, comprising:
responding to triggering operation of a target page of an application program, and determining function use information of a target user on a search function module in the application program based on user behavior data of the target user in a historical time period;
If the function use information is larger than a preset information threshold, displaying the function label of the search function module at the function display position of the target page; the function tag is used for triggering the search function module.
2. The method of claim 1, wherein the triggering operation of the target page of the application program comprises any one of the following:
a trigger operation for starting the application program to open a homepage of the application program;
triggering operation of opening the information flow page of the application program;
switching to triggering operation of the information detail page of the application program;
and switching to triggering operation of a task page of the virtual resource task of the application program.
3. The method of claim 1, wherein the determining function usage information of the target user for the search function module in the application program based on the user behavior data of the target user in the history period of time comprises:
and determining a first search frequency of the target user in unit time based on the total search frequency of the target user in the historical time period as the function use information.
4. The method of claim 3, wherein the predetermined information threshold is a second number of searches of the plurality of users in the unit time, the second number of searches being determined based on a total number of searches of the plurality of users in the history period.
5. The method of claim 3, wherein the determining function usage information of the target user for the search function module in the application based on user behavior data of the target user over a historical period of time further comprises:
and determining the task number of the target user for completing the virtual resource tasks as the function use information based on the execution information of the target user on the virtual resource tasks in the historical time period.
6. The method according to claim 5, wherein displaying the function tag of the search function module at the function presentation location of the target page if the function usage information is greater than a preset information threshold value, comprises:
and if the first searching times are larger than the second searching times and the task number is larger than the preset number, displaying the function label of the searching function module at the function display position, and displaying a virtual resource entry control at the first preset position of the target page.
7. The method of claim 6, wherein after displaying the function label of the search function module at the function presentation location and displaying the virtual resource entry control at the first preset location of the target page if the first search number is greater than the second search number and the task number is greater than the preset number, the method further comprises:
responding to the triggering operation of the virtual resource entry control, and displaying a target virtual resource task in a task page of the virtual resource task; the target virtual resource task comprises a virtual resource task related to search, which is generated based on keywords corresponding to search intentions of the target user in the historical time period.
8. The method according to claim 1 or 5, wherein the determining function usage information of the target user for the search function module in the application program based on the user behavior data of the target user in the history period of time includes:
determining search related information corresponding to the target user as the function use information based on the search behavior data of the target user in the historical time period; wherein the search related information includes at least one of a content consumption time length of the search result, a search recommended word, and the search result;
And if the function usage information is greater than a preset information threshold, displaying the function tag of the search function module at the function display position of the target page, including:
and if the search related information reaches a preset information condition, displaying the function label of the search function module at the function display position of the application program.
9. The method of claim 8, wherein the search related information reaches a preset information condition, comprising at least one of:
the content consumption time length of the target user under the same search classification, which is included in the search behavior data, reaches a preset time length;
each search recommended word corresponding to the target user is provided with the search recommended word matched with the hot entry in the current time period;
and updating the content of the search results associated with at least one search recommended word corresponding to the target user.
10. The method of claim 9, wherein the content consumption time period of the target user under the same search category included in the search behavior data comprises:
the content consumption time of the target user for the original content of the concerned content creator;
Or, the content update of the search result associated with at least one search recommended word corresponding to the target user includes:
the content creator publishes new original content.
11. The method according to claim 8, wherein after the function tag of the search function module is displayed at the function presentation location of the application if the search related information reaches a preset information condition, the method further comprises:
and displaying the search recommended word corresponding to the search related information at a second preset position of the search function page corresponding to the function label.
12. A recommendation device for application functions, comprising:
a function use information determining unit, configured to determine function use information of a target user for a search function module in an application program based on user behavior data of the target user in a history period in response to a trigger operation of a target page of the application program;
the search function module display unit is used for displaying the function label of the search function module at the function display position of the target page if the function use information is larger than a preset information threshold; the function tag is used for triggering the search function module.
13. An electronic device, comprising:
a processor;
a memory for storing executable instructions;
wherein the processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the recommended method of application functionality of any of the preceding claims 1-11.
14. A computer readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, causes the processor to implement a recommendation method for application functions according to any of the previous claims 1-11.
CN202311198127.4A 2023-09-15 2023-09-15 Application program function recommendation method, device, equipment and storage medium Pending CN117171406A (en)

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CN117591747A (en) * 2024-01-11 2024-02-23 浙江同花顺智能科技有限公司 Information generation type recommendation method and device, electronic equipment and storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117591747A (en) * 2024-01-11 2024-02-23 浙江同花顺智能科技有限公司 Information generation type recommendation method and device, electronic equipment and storage medium

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