CN111523035B - Recommendation method, device, server and medium for APP browsing content - Google Patents
Recommendation method, device, server and medium for APP browsing content Download PDFInfo
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- CN111523035B CN111523035B CN202010332262.3A CN202010332262A CN111523035B CN 111523035 B CN111523035 B CN 111523035B CN 202010332262 A CN202010332262 A CN 202010332262A CN 111523035 B CN111523035 B CN 111523035B
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
The embodiment of the invention discloses a recommendation method, a recommendation device, a server and a medium for APP browsing content. Wherein, the method comprises the following steps: receiving attribute information of unregistered users of the intelligent terminal; the attribute information of the unregistered user at least comprises one of an unregistered user region, an intelligent terminal type and a browsing content type; selecting a target class group matched with the unregistered user from the candidate class groups according to the attribute information of the unregistered user; the candidate cluster is obtained by classification based on attribute information of registered users; and selecting a target registered user from the target class group, and recommending a target browsing list of the target registered user to the unregistered user. The embodiment of the invention realizes real-time and accurate content recommendation for the unregistered user on the premise that the unregistered user does not log in the APP, and enhances the reading enthusiasm of the unregistered user, thereby effectively improving the registration willingness of the unregistered user.
Description
Technical Field
The embodiment of the invention relates to a recommendation method, in particular to a recommendation method, a recommendation device, a server and a medium for APP browsing content.
Background
With the continuous updating of the intelligent equipment, the living application installed on the intelligent equipment is also expanded, and the life of people is greatly facilitated. At present, when part of users use an APP (Application), registration is performed first, and then related applications are performed; however, some users still exist, and the users select to try out, observe whether the application has the content of interest, and finally select whether to register according to the trial result. Generally, for a browsing content recommendation method for an unregistered user, firstly, a large amount of use information of the unregistered user is collected, a preference model of the user is established, and finally, content recommendation is performed.
The defects of the scheme are as follows: when the preference model of the user is established, the model establishing time is long due to the fact that a large amount of user information is used, personalized recommendation cannot be made for the user quickly, and therefore the registration willingness of the unregistered user is difficult to improve.
Disclosure of Invention
The embodiment of the application provides a recommendation method, device, server and medium for APP browsing content, which can quickly select personalized browsing content for an unregistered user and recommend the personalized browsing content in time, so that the registration willingness of the unregistered user is effectively improved.
In a first aspect, an embodiment of the present invention provides a method for recommending APP browsing content, including:
receiving attribute information of unregistered users of the intelligent terminal; the attribute information of the unregistered user at least comprises one of an unregistered user region, an intelligent terminal type and a browsing content type;
selecting a target class group matched with the unregistered user from candidate class groups according to the attribute information of the unregistered user; the candidate cluster is obtained by classification based on attribute information of registered users;
and selecting a target registered user from the target class group, and recommending a target browsing list of the target registered user to the unregistered user.
In a second aspect, an embodiment of the present invention provides an apparatus for recommending APP browsing content, including:
the receiving module is used for receiving attribute information of unregistered users of the intelligent terminal; the attribute information of the unregistered user at least comprises one of an unregistered user region, an intelligent terminal type and a browsing content type;
the selection module is used for selecting a target class group matched with the unregistered user from candidate class groups according to the attribute information of the unregistered user; the candidate cluster is obtained by classification based on attribute information of registered users;
and the recommending module is used for selecting a target registered user from the target class group and recommending a target browsing list of the target registered user to the unregistered user.
In a third aspect, an embodiment of the present invention further provides a server, where the server includes:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement the method for recommending APP browsed content in any of the embodiments of the present invention.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for recommending APP browsing content according to any one of the embodiments of the present invention.
According to the embodiment of the invention, target class information matched with the unregistered user is selected from the candidate class through the attribute information of the unregistered user; and further selecting a target registered user from the target class group, and recommending a target browsing list of the target registered user to the unregistered user. The embodiment of the invention realizes real-time and accurate content recommendation for the unregistered user on the premise that the unregistered user does not log in the APP, and enhances the reading enthusiasm of the unregistered user, thereby effectively improving the registration intention of the unregistered user.
Drawings
Fig. 1 is a schematic flowchart of a recommendation method for APP browsing content according to a first embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for recommending APP browsing content according to a second embodiment of the present invention;
fig. 3 is a schematic flowchart of an APP browsing content recommendation apparatus in a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a server in the fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a schematic flowchart of a recommendation method for APP browsing content according to a first embodiment of the present invention. The embodiment can be applied to the situation of quickly recommending the browsing content to the unregistered user. The method of the embodiment can be executed by a recommendation device for APP browsing content, the device can be implemented in a hardware/software manner, and can be configured in a server, so that the recommendation method for APP browsing content described in any embodiment of the present application can be implemented. As shown in fig. 1, the method specifically includes the following steps:
s110, receiving attribute information of unregistered users of the intelligent terminal; the attribute information of the unregistered user at least comprises one of an unregistered user region, an intelligent terminal type and a browsing content type.
In this embodiment, the smart terminal is a type of electronic device with a reading function, such as a smart phone, a tablet computer, a personal computer, and the like; and the intelligent terminal is provided with the application APP, so that the user can read the interested article contents through the APP and collect the favorite articles. The unregistered user is a crowd who does not perform login operation when using the APP; because the unregistered user does not log in the APP, the collected attribute information of the unregistered user can only represent a small number of characteristics of the unregistered user; the region of the unregistered user is the current position of the user, and the position of the unregistered user can be set to province level or province level + city level, for example, the region of the unregistered user can be set to Beijing City or Heihai district of Beijing City; the intelligent terminal type is the type of the electronic equipment used by the unregistered user, such as Huaqi or millet and the like; the browsing content type can be a variety, sports, movie and television, and the like. The attribute information of the unregistered user can also comprise the network state (such as mobile, telecommunication and Unicom) of the unregistered user and the attention duration of the unregistered user on different pages of the APP.
When an unregistered user uses the APP for the first time, the server implants cookies (small text data stored on the user terminal can be used for tracking the user and identifying identity information) into the APP used by the unregistered user through the intelligent terminal, and marks the user by utilizing a cookie technology so as to acquire the attribute information of the unregistered user.
S120, selecting a target cluster matched with the unregistered user from the candidate clusters according to the attribute information of the unregistered user; the candidate cluster is obtained by classification based on the attribute information of the registered user.
In this embodiment, before selecting a target class group matched with an unregistered user, the registered users need to be clustered into a plurality of candidate class groups according to different attribute dimensions according to the existing attribute information of all the registered users, and the candidate class groups are stored in the user simple feature library; wherein, the same registered user may exist in a plurality of candidate clusters at the same time; the attribute information of the registered user includes at least one of age, gender, type of the smart terminal, region, and type of contents of interest. Specifically, the content type of interest of each registered user is obtained through machine learning and manual review confirmation review, and therefore, the content type of interest of each registered user has high accuracy.
And selecting a candidate class group with the maximum matching degree from the candidate class groups according to the attribute information of the unregistered user to serve as a target class group of the unregistered user, namely attributing the unregistered user to the target class group to indicate that the unregistered user has similar preference with other registered users in the target class group. According to the embodiment of the invention, the unregistered user can be attributed to the target group with the maximum matching degree according to a small amount of characteristic information of the unregistered user, and the unregistered user can be quickly and effectively classified accurately.
S130, selecting a target registered user from the target group, and recommending a target browsing list of the target registered user to the unregistered user.
In this embodiment, the candidate group has at least one candidate registered user; the candidate registered users are provided with at least one candidate browsing list, and the candidate browsing lists are arranged in sequence from near to far according to the generation time. After the unregistered users are classified, one candidate registered user is randomly selected from the target group to serve as a target registered user, the first candidate browsing list is selected from the candidate browsing lists of the target registered user to serve as a target browsing list and recommended to the unregistered user, and therefore the unregistered user can effectively read. The embodiment of the invention realizes real-time and accurate content recommendation for the unregistered user on the premise that the unregistered user does not log in the APP, and enhances the reading enthusiasm of the unregistered user, thereby effectively improving the registration willingness of the unregistered user.
According to the embodiment of the invention, target class information matched with the unregistered user is selected from the candidate class through the attribute information of the unregistered user; and further selecting a target registered user from the target class group, and recommending a target browsing list of the target registered user to the unregistered user. The embodiment of the invention realizes real-time and accurate content recommendation for the unregistered user on the premise that the unregistered user does not log in the APP, and enhances the reading enthusiasm of the unregistered user, thereby effectively improving the registration intention of the unregistered user.
Example two
Fig. 2 is a schematic flowchart of a method for recommending APP browsing content in a second embodiment of the present invention. The embodiment is further expanded and optimized on the basis of the above embodiment, and can be combined with any optional options in the above technical solutions. As shown in fig. 2, the method includes:
s210, receiving attribute information of unregistered users of the intelligent terminal; the attribute information of the unregistered user at least comprises one of an unregistered user region, an intelligent terminal type and a browsing content type.
S220, distributing parameter values to the attribute information of the registered user, and establishing the feature representation of the unregistered user and the feature representation of the candidate class group according to the parameter values of the attribute information.
In this embodiment, the attribute information of the registered user at least includes one of age, gender, type of the smart terminal, region, and type of content of interest; parameter values of different attribute information can be adaptively defined by counting the ratio of the number of each attribute information to the total number of the attribute information of the registered user; meanwhile, a custom distribution form is also supported, namely different fixed parameter values are customized for different attribute information, the attribute information is taken as the age for example, and the parameter value is defined to be 1 in 0-10 years old; age 11-18 with a parameter value of 2; the parameter value is defined as 3 from 18 years old to 30 years old.
Establishing a feature vector of the unregistered user according to the received attribute information of the unregistered user and the parameter value of the attribute information; establishing a feature matrix of the candidate cluster according to the attribute information of the registered user and the parameter value of the attribute information; according to the embodiment, the unregistered user and the candidate class group are modeled and expressed according to the attribute information, so that the matching degree of the unregistered user and the candidate class group can be calculated conveniently, and the unregistered user can be classified quickly and accurately.
And S230, calculating a matching value of the unregistered user and the candidate class group according to the feature representation of the unregistered user and the feature representation of the candidate class group.
In this embodiment, the matching value of the unregistered user and each candidate class is determined by calculating the point composition result of the feature vector of the unregistered user and the feature matrix of the candidate class. The similarity matching between the unregistered user and the candidate group can be effectively determined, and the class group to which the unregistered user belongs can be rapidly and accurately identified.
And S240, taking the candidate class group with the highest matching value with the unregistered user as a target class group of the unregistered user.
In this embodiment, the matching values calculated by the unregistered user and the candidate groups are counted, the matching values are compared, the candidate group with the highest matching value with the unregistered user is selected as the target group of the unregistered user, and the accuracy of the unregistered user classification can be effectively improved.
S250, selecting a target registered user from the target group, and recommending a target browsing list of the target registered user to the unregistered user.
Optionally, before recommending the target browsing list of the target registered user to the unregistered user, the method further includes:
receiving browsing duration of historical browsing content of a registered user of the intelligent terminal;
and updating the browsing list of the registered user according to the browsing duration of the historical browsing content of the registered user of the intelligent terminal.
In the embodiment, the browsing duration of the history browsing content of the registered user of the intelligent terminal is the attention duration of the registered user on the same page, and the article content on the page with the browsing duration exceeding the preset browsing duration is updated to the browsing list of the registered user by counting the browsing duration of the registered user on each page; the browsing list of the registered user is updated in real time, and the applicability of the browsing list of the registered user can be effectively improved.
Optionally, after S250, the method further includes:
counting the browsing time of the unregistered user to each content in the target browsing list in a preset time period;
judging whether the unregistered user accepts the target browsing list or not according to the browsing duration;
and determining a new target browsing list for the unregistered user again according to the judgment result, and recommending the new target browsing list to the unregistered user.
In this embodiment, after the unregistered user reads for a period of time, the browsing content of the unregistered user needs to be recommended continuously, and in order to accurately recommend the browsing content of the unregistered user, the acceptance degree of the unregistered user to the recommended target browsing list needs to be determined according to the browsing duration of each content in the target browsing list within a preset time period by the unregistered user, and then the next browsing list recommended to the unregistered user is determined.
Optionally, determining whether the unregistered user accepts the target browsing list according to the browsing duration includes:
if the browsing duration exceeds a preset browsing duration threshold, judging that the unregistered user receives the target browsing list;
and if the browsing duration does not exceed the preset browsing duration threshold, judging that the unregistered user does not accept the target browsing list.
In this embodiment, the browsing duration can directly reflect the receiving degree of the reading content by the unregistered user, so that the accuracy of recommending the next browsing list can be greatly improved according to the receiving degree of the unregistered user to the target browsing list.
Optionally, determining a new target browsing list for the unregistered user again according to the determination result, including:
if the unregistered user accepts the target browsing list, selecting a browsing list of the non-target browsing list from the candidate browsing list of the registered user as a new target browsing list of the unregistered user;
and if the unregistered user does not accept the target browsing list, selecting a new target registered user from the target group to which the unregistered user belongs, and taking the target browsing list of the new target registered user as the new target browsing list of the unregistered user.
In this embodiment, if the unregistered user accepts the target browsing list and the similarity between the reading preference of the first selected target registered user and the preference of the unregistered user is high, the recommendation is continued according to the browsing list of the target registered user, and a next candidate browsing list in the browsing list of the target registered user is used as a new target browsing list of the unregistered user; and the next recommended candidate browsing list and the first recommended target browsing list are not the same browsing list. If the unregistered user does not accept the target browsing list, the preference similarity of the determined target registered user and the unregistered user is different greatly; therefore, in the target group, a registered user needs to be reselected as a new target registered user, and a target browsing list (i.e. a first candidate browsing list in the browsing list) of the new target registered user is used as a new target browsing list; wherein, the preferences of the registered users in the same group are not necessarily the same.
According to the embodiment of the invention, the matching value of the unregistered user and the candidate group can be calculated according to the feature representation of the unregistered user and the feature representation of the candidate group, and the candidate group with the highest matching value with the unregistered user is used as the target group of the unregistered user; the similarity matching between the unregistered user and the candidate group can be effectively determined, and the class group to which the unregistered user belongs can be rapidly and accurately identified.
EXAMPLE III
Fig. 3 is a schematic flowchart of a recommendation apparatus for APP browsing content according to a third embodiment of the present invention, which is applicable to a case of quickly recommending browsing content to an unregistered user. The device is configured in the server, and can realize the recommendation method of the APP browsing content in any embodiment of the application. The device specifically comprises the following steps:
a receiving module 310, configured to receive attribute information of an unregistered user of the intelligent terminal; the attribute information of the unregistered user at least comprises one of an unregistered user region, an intelligent terminal type and a browsing content type;
a selecting module 320, configured to select a target class group matched with the unregistered user from candidate class groups according to the attribute information of the unregistered user; the candidate cluster is obtained by classification based on attribute information of registered users;
and the recommending module 330 is configured to select a target registered user from the target class group, and recommend a target browsing list of the target registered user to the unregistered user.
Optionally, the selecting module 320 is specifically configured to:
distributing parameter values to the attribute information of the registered user, and establishing the feature representation of the unregistered user and the feature representation of the candidate class group according to the parameter values of the attribute information;
calculating a matching value of the unregistered user and the candidate class group according to the feature representation of the unregistered user and the feature representation of the candidate class group;
and taking the candidate class group with the highest matching value with the unregistered user as a target class group of the unregistered user.
Optionally, the receiving module 310 is further configured to receive a browsing duration of a history browsing content of the registered user of the intelligent terminal;
and the updating module is used for updating the browsing list of the registered user according to the browsing duration of the historical browsing content of the registered user of the intelligent terminal.
Optionally, the method further includes:
the counting module is used for counting the browsing time of the unregistered user on each content in the target browsing list within a preset time period;
the judging module is used for judging whether the unregistered user accepts the target browsing list or not according to the browsing duration;
and the determining module is used for determining a new target browsing list for the unregistered user again according to the judgment result and recommending the new target browsing list to the unregistered user.
Optionally, the determining module is specifically configured to:
if the browsing duration exceeds a preset browsing duration threshold, judging that the unregistered user accepts the target browsing list;
and if the browsing duration does not exceed a preset browsing duration threshold, judging that the unregistered user does not accept the target browsing list.
Optionally, the determining module is specifically configured to:
if the unregistered user accepts the target browsing list, selecting a browsing list which is not the target browsing list from the candidate browsing list of the registered user as a new target browsing list of the unregistered user;
if the unregistered user does not accept the target browsing list, selecting a new target registered user from a target class to which the unregistered user belongs, and taking the target browsing list of the new target registered user as a new target browsing list of the unregistered user.
By the aid of the APP browsing content recommending device in the third embodiment of the invention, real-time and accurate content recommendation is performed on the unregistered user on the premise that the unregistered user does not log in the APP, and the reading enthusiasm of the unregistered user is enhanced, so that the registration willingness of the unregistered user is effectively improved.
The recommendation device for the APP browse content provided by the embodiment of the invention can execute the recommendation method for the APP browse content provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example four
Fig. 4 is a schematic structural diagram of a server according to a fourth embodiment of the present invention, and as shown in fig. 4, the server includes a processor 410, a memory 420, an input device 430, and an output device 440; the number of the processors 410 in the server may be one or more, and one processor 410 is taken as an example in fig. 4; the processor 410, the memory 420, the input device 430 and the output device 440 in the server may be connected by a bus or other means, and the bus connection is exemplified in fig. 4.
The memory 420 serves as a computer-readable storage medium, and may be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the recommendation method for APP browsing content in the embodiment of the present invention. The processor 410 executes various functional applications and data processing of the server by running the software programs, instructions and modules stored in the memory 420, that is, implements the recommendation method of APP browsing content provided by the embodiment of the present invention.
The memory 420 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 420 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 420 may further include memory located remotely from processor 410, which may be connected to a server over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 430 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the server, and may include a keyboard, a mouse, and the like. The output device 440 may include a display device such as a display screen.
EXAMPLE five
The embodiment provides a storage medium containing computer executable instructions, wherein the computer executable instructions are used for realizing the recommendation method of APP browsing content provided by the embodiment of the invention when being executed by a computer processor.
Of course, the storage medium provided in the embodiment of the present invention includes computer-executable instructions, where the computer-executable instructions are not limited to the method operations described above, and may also perform related operations in the recommendation method for APP browsing content provided in any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly can be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention or portions thereof contributing to the prior art may be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the above search apparatus, each included unit and module are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (9)
1. A recommendation method for APP browsing content is characterized by comprising the following steps:
receiving attribute information of unregistered users of the intelligent terminal; the attribute information of the unregistered user at least comprises one of an unregistered user region, an intelligent terminal type and a browsing content type;
selecting a target class group matched with the unregistered user from candidate class groups according to the attribute information of the unregistered user; the candidate cluster is obtained by classification based on attribute information of registered users;
selecting a target registered user from the target class group, and recommending a target browsing list of the target registered user to the unregistered user;
after recommending the target browsing list of the target registered user to the unregistered user, the method further comprises:
counting the browsing time of the unregistered user on each content in the target browsing list within a preset time period;
judging whether the unregistered user accepts the target browsing list or not according to the browsing duration;
and determining a new target browsing list for the unregistered user again according to the judgment result, and recommending the new target browsing list to the unregistered user.
2. The method according to claim 1, wherein the selecting the target class group matched with the unregistered user from the candidate class groups according to the attribute information of the unregistered user comprises:
distributing parameter values to the attribute information of the registered user, and establishing the feature representation of the unregistered user and the feature representation of the candidate class group according to the parameter values of the attribute information;
calculating a matching value of the unregistered user and the candidate class group according to the feature representation of the unregistered user and the feature representation of the candidate class group;
and taking the candidate class group with the highest matching value with the unregistered user as a target class group of the unregistered user.
3. The method of claim 1, wherein prior to recommending the target browsing list of the target registered user to the unregistered user, the method further comprises:
receiving browsing duration of historical browsing content of the registered user of the intelligent terminal;
and updating the browsing list of the registered user according to the browsing duration of the historical browsing content of the registered user of the intelligent terminal.
4. The method of claim 1, wherein the determining whether the unregistered user accepts the target browsing list according to the browsing duration comprises:
if the browsing duration exceeds a preset browsing duration threshold, judging that the unregistered user accepts the target browsing list;
and if the browsing duration does not exceed a preset browsing duration threshold, judging that the unregistered user does not accept the target browsing list.
5. The method according to claim 4, wherein said re-determining a new target browsing list for the unregistered user according to the determination result comprises:
if the unregistered user accepts the target browsing list, selecting a browsing list which is not the target browsing list from the candidate browsing list of the registered user as a new target browsing list of the unregistered user;
if the unregistered user does not accept the target browsing list, selecting a new target registered user from a target group to which the unregistered user belongs, and taking the target browsing list of the new target registered user as a new target browsing list of the unregistered user.
6. An apparatus for recommending APP browsing contents, the apparatus comprising:
the receiving module is used for receiving the attribute information of the unregistered user of the intelligent terminal; the attribute information of the unregistered user at least comprises one of an unregistered user region, an intelligent terminal type and a browsing content type;
the selection module is used for selecting a target class group matched with the unregistered user from candidate class groups according to the attribute information of the unregistered user; the candidate cluster is obtained by classification based on attribute information of registered users;
the recommending module is used for selecting a target registered user from the target class group and recommending a target browsing list of the target registered user to the unregistered user;
the counting module is used for counting the browsing time of the unregistered user on each content in the target browsing list within a preset time period;
the judging module is used for judging whether the unregistered user accepts the target browsing list or not according to the browsing duration;
and the determining module is used for determining a new target browsing list for the unregistered user again according to the judgment result and recommending the new target browsing list to the unregistered user.
7. The apparatus of claim 6, wherein the selection module is specifically configured to:
distributing parameter values to the attribute information of the registered user, and establishing the feature representation of the unregistered user and the feature representation of the candidate class group according to the parameter values of the attribute information;
calculating a matching value of the unregistered user and the candidate class group according to the feature representation of the unregistered user and the feature representation of the candidate class group;
and taking the candidate class group with the highest matching value with the unregistered user as a target class group of the unregistered user.
8. A server, comprising:
one or more processors;
a storage device to store one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the recommendation method for APP browsing content as recited in any of claims 1-5.
9. A computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements a recommendation method for APP browsing content as claimed in any one of claims 1 to 5.
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| CN113076450B (en) * | 2021-03-15 | 2024-03-22 | 北京明略软件系统有限公司 | Determination method and device for target recommendation list |
| CN114625442A (en) * | 2022-03-22 | 2022-06-14 | 平安普惠企业管理有限公司 | Cold start recommendation method and device, electronic equipment and readable storage medium |
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